IL2023

Caratteristiche generali del campione

Warning: package 'tidyverse' was built under R version 4.2.3
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Warning: package 'knitr' was built under R version 4.2.3
anno tot.N age.min age.mean age.max age.p25 age.p50 age.p75 age.50_59 age.60_69 age.70_79 age.80_89 age.90_99 age.100plus N.female Chest_pain_N Nausea_N DEF_Oxygen_need_NEW_N Allergy_N Asthma_N Autoimmune_dis_N Cardiac_valve_dis_N Congenital_abnormalities_N Chronic_liver_dis_N Colitis_related_dis_N Deafness_hearing_loss_N Depression_mood_dis_N Dorsopathies_N Hematological_neoplasms_N Migraine_facial_pain_syndr_N Falls_N Other_psychia_behavioral_dis_N Peripheral_neuropathy_N Prostate_dis_N Sleep_dis_N Thyroid_dis_N DEF_Economic_diff_N RxTCUS_6m_N Ricovero_6m_N UTI_bact_N MM.mean MM.p05 MM.p25 MM.p50 MM.p75 MM.p95 MM.2plus MM.0 MM.1 MM.2 MM.3 MM.4 MM.5 MM.6 MM.7 MM.8 MM.9 MM.10 MM.11plus FI.Min FI.Max FI.mean FI.p05 FI.p25 FI.p50 FI.p75 FI.p95 no.Frailty mild.Frailty mod.Frailty sev.Frailty tot.death tot.death1y p25.FU p50.FU p75.FU p25.FU.d1 p50.FU.d1 p75.FU.d1 p50.time.study DEF_Edema_N DEF_Constipation_N DEF_LMWH_new_N DEF_Anemia_N DEF_Atrial_fibrillation_N DEF_Bradycardias_conduction_dis_N DEF_Cerebrovascular_dis_N DEF_Chronic_kidney_dis_N DEF_Chronic_ulcer_of_the_skin_N DEF_COPD_emphy_chron_bronchitis_N DEF_Dementia_cognDecl_N DEF_Diabetes_N DEF_Heart_failure_N DEF_Ischemic_heart_dis_N DEF_Hip_fract_OLD_N DEF_Other_neurological_dis_N DEF_Parkinson_parkinsonism_N DEF_Peripheral_vascular_dis_N DEF_Schizophrenia_delusional_dis_N DEF_Solid_neoplasms_N DEF_Disability_High_N DEF_ER_6m_N DEF_Nutritional_issues_N
2011 799522 50 66.47210 104 57 65 75 266957 228219 179442 103279 20413 1212 435644 50328 71779 2213 121238 44411 40262 25974 288 11031 28647 65531 61701 20073 7044 21516 0 35764 41981 86929 626 142347 100223 15000 28305 57738 4.195230 0 1 4 6 11 592554 106886 100082 95690 91982 84387 73888 62629 50397 39130 28981 21128 39836 0 0.56 0.0414794 0 0 0.04 0.08 0.16 591468 157470 39662 10922 8965 8901 1777 3422 4018 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2012 795993 50 66.51395 105 57 65 75 267635 225250 176905 103241 21588 1374 432451 55278 78853 2070 131278 47548 42744 27784 307 11361 31585 70237 64738 22081 7202 23219 0 39618 45147 89228 768 151648 228475 16464 28264 63015 4.437651 0 2 4 7 11 602534 100096 93363 90743 88293 82719 73962 63596 52652 42045 31951 23576 46956 0 0.64 0.0495679 0 0 0.04 0.08 0.16 542924 185275 51716 16078 8707 8595 1731 3240 3653 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2013 792438 50 66.57126 106 57 65 75 267438 222611 174941 103245 22704 1499 429891 60280 85532 1519 140373 50613 45126 29370 343 11714 34314 74402 67653 24130 7464 24976 0 43168 48122 91489 890 160829 274316 16559 27875 67865 4.666332 0 2 4 7 12 611277 92890 88271 86729 85172 81258 73722 63918 54210 44092 34445 26082 53814 0 0.60 0.0533793 0 0 0.04 0.08 0.16 520952 194995 57367 19124 8222 8164 1634 3096 3287 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2014 788784 50 66.60431 107 57 65 75 266835 221733 171760 103222 23658 1576 427322 65059 92070 1532 149142 53952 47753 30932 390 12088 37008 78487 70458 26184 7833 26961 0 46965 51054 94648 955 170162 297371 17831 28224 72801 4.899888 0 2 4 7 12 620806 84994 82984 83480 83036 79544 73050 64897 55305 45730 36639 28163 61079 0 0.64 0.0562094 0 0 0.04 0.08 0.20 505377 200089 61187 22131 6066 6017 1535 2922 2922 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2015 781077 50 66.63397 108 57 65 75 265148 220547 166906 102407 24476 1593 421647 69452 97845 1692 156495 56654 49943 32236 442 12222 39306 81608 72453 27992 8149 28598 0 50440 53404 97210 1003 177775 307312 18291 28417 77648 5.111440 0 2 4 7 13 623767 79039 78271 79457 79944 77234 72180 64845 55740 46681 38118 29950 67523 0 0.64 0.0583722 0 0 0.04 0.08 0.20 490437 202880 63633 24127 6394 6343 1443 2557 2557 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2016 767012 50 66.63323 109 57 65 75 261773 213945 165068 99960 24779 1487 411916 72612 102364 1532 161520 58732 51330 32869 467 12266 40966 83078 73244 29234 8284 29689 0 52750 55041 98472 1022 182406 307603 19671 27192 80838 5.285890 0 2 5 8 13 619114 73588 74310 75949 76816 74340 70459 63695 55177 46749 38627 30937 72106 0 0.60 0.0596248 0 0 0.04 0.08 0.20 476527 201032 64484 24969 5089 5055 1362 2192 2192 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2017 748852 50 66.69606 110 57 65 75 255411 206437 162241 98076 25306 1381 400713 75161 105546 1496 165142 60404 52357 33127 493 12271 42456 83951 73683 30046 8414 30774 0 54606 56396 99214 1038 185576 305260 25047 26359 83013 5.466816 0 2 5 8 13 610965 68507 69380 71714 73441 71583 68016 61932 54394 46652 38990 31479 76317 0 0.60 0.0609673 0 0 0.04 0.08 0.20 459661 198630 64602 25959 5149 5106 1231 1826 1826 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2018 734012 50 66.73105 111 57 65 75 250504 200340 159286 97241 25407 1234 391668 77106 108060 1367 167090 61544 53367 33087 514 12260 43730 84318 73644 30843 8560 31639 0 56106 57480 98784 1061 187559 301491 31383 25872 84325 5.598895 0 2 5 8 14 599265 69819 64928 67451 69557 68240 65455 59573 53557 46004 38925 31825 80078 0 0.64 0.0616647 0 0 0.04 0.08 0.20 447446 195845 64279 26442 7393 7353 1095 1461 1461 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2019 715303 50 66.71664 112 57 65 75 244295 195589 154038 95477 24760 1144 379852 77828 108692 1345 166815 62713 53950 33036 538 12105 44626 83986 73289 31312 8662 32255 0 56983 57662 98537 1106 188970 295662 34670 24757 84877 5.730310 0 2 5 8 14 588195 66605 60503 64284 66968 65969 63354 57819 51821 45376 38361 31688 82067 0 0.60 0.0624578 0 0 0.04 0.08 0.20 432569 192632 63656 26446 6908 6869 1096 1096 1096 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2020 689650 50 66.68957 113 57 65 75 235969 189521 146871 92120 24064 1105 363832 77729 108112 1438 165348 63356 54031 32761 549 11861 44993 82679 72059 31290 8511 32629 0 57289 57099 97792 1103 188443 290069 36265 23591 85466 5.876376 0 2 5 9 14 573903 60618 55129 60942 64103 63619 61163 56228 50452 43941 37590 31084 82799 0 0.64 0.0635624 0 0 0.04 0.08 0.20 411913 188998 62307 26432 7358 7244 731 731 731 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
2021 632805 50 66.54486 114 57 65 75 218321 177310 132958 81886 21274 1056 329798 73704 102819 2131 156512 60556 51555 30600 566 11171 43172 75813 68120 29778 8043 31684 0 54168 53814 92762 1054 178855 269144 28617 17273 81733 6.019047 0 3 5 9 14 540220 42346 50239 57168 60853 60447 57767 52966 47436 41290 35201 28854 77272 0 0.60 0.0638547 0 0 0.04 0.08 0.20 375976 176815 56521 23493 6287 6263 365 365 365 365 365 365 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
Overall 8245448 50 66.61702 114 57 65 75 2800286 2301502 1790416 1080154 258429 14661 4424734 NA NA 18335 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 2976926 NA NA NA 5.173757 0 2 4 8 13 6582600 845388 817460 833607 840165 809340 753016 672098 581141 487690 397828 314766 739847 0 0.64 0.0570521 0 0 0.04 0.08 0.20 5255250 2094661 649414 246123 76538 75910 731 1479 2557 365 365 365 473299200 11794 99505 200228 1394887 358661 237365 494131 441441 72934 859666 509146 1155158 188400 767572 34176 90622 183585 131241 68571 954355 333020 159088 19697

Fragilità negli anni

knitr::opts_chunk$set(
  comment = '', fig.width = 15, dpi = 150
)

#GENERALE
results$generali$anno %>% select(c("anno","no.Frailty","mild.Frailty","mod.Frailty","sev.Frailty", "tot.N")) %>% 
  pivot_longer(-c("anno", "tot.N"), values_to = "count", names_to = "FI.gr") %>% 
  mutate(prop = count/tot.N,
         FI.class = factor(FI.gr, levels = c("sev.Frailty","mod.Frailty","mild.Frailty","no.Frailty"),
                           labels = c("Grave","Moderata","Lieve","Assente"))) -> data
data %>% kable()
anno tot.N FI.gr count prop FI.class
2011 799522 no.Frailty 591468 0.7397770 Assente
2011 799522 mild.Frailty 157470 0.1969552 Lieve
2011 799522 mod.Frailty 39662 0.0496071 Moderata
2011 799522 sev.Frailty 10922 0.0136607 Grave
2012 795993 no.Frailty 542924 0.6820713 Assente
2012 795993 mild.Frailty 185275 0.2327596 Lieve
2012 795993 mod.Frailty 51716 0.0649704 Moderata
2012 795993 sev.Frailty 16078 0.0201987 Grave
2013 792438 no.Frailty 520952 0.6574041 Assente
2013 792438 mild.Frailty 194995 0.2460697 Lieve
2013 792438 mod.Frailty 57367 0.0723930 Moderata
2013 792438 sev.Frailty 19124 0.0241331 Grave
2014 788784 no.Frailty 505377 0.6407039 Assente
2014 788784 mild.Frailty 200089 0.2536677 Lieve
2014 788784 mod.Frailty 61187 0.0775713 Moderata
2014 788784 sev.Frailty 22131 0.0280571 Grave
2015 781077 no.Frailty 490437 0.6278984 Assente
2015 781077 mild.Frailty 202880 0.2597439 Lieve
2015 781077 mod.Frailty 63633 0.0814683 Moderata
2015 781077 sev.Frailty 24127 0.0308894 Grave
2016 767012 no.Frailty 476527 0.6212771 Assente
2016 767012 mild.Frailty 201032 0.2620976 Lieve
2016 767012 mod.Frailty 64484 0.0840717 Moderata
2016 767012 sev.Frailty 24969 0.0325536 Grave
2017 748852 no.Frailty 459661 0.6138209 Assente
2017 748852 mild.Frailty 198630 0.2652460 Lieve
2017 748852 mod.Frailty 64602 0.0862680 Moderata
2017 748852 sev.Frailty 25959 0.0346651 Grave
2018 734012 no.Frailty 447446 0.6095895 Assente
2018 734012 mild.Frailty 195845 0.2668144 Lieve
2018 734012 mod.Frailty 64279 0.0875721 Moderata
2018 734012 sev.Frailty 26442 0.0360239 Grave
2019 715303 no.Frailty 432569 0.6047353 Assente
2019 715303 mild.Frailty 192632 0.2693013 Lieve
2019 715303 mod.Frailty 63656 0.0889917 Moderata
2019 715303 sev.Frailty 26446 0.0369717 Grave
2020 689650 no.Frailty 411913 0.5972783 Assente
2020 689650 mild.Frailty 188998 0.2740492 Lieve
2020 689650 mod.Frailty 62307 0.0903458 Moderata
2020 689650 sev.Frailty 26432 0.0383267 Grave
2021 632805 no.Frailty 375976 0.5941420 Assente
2021 632805 mild.Frailty 176815 0.2794147 Lieve
2021 632805 mod.Frailty 56521 0.0893182 Moderata
2021 632805 sev.Frailty 23493 0.0371252 Grave 
data %>% 
  ggplot(aes(x = anno, y = prop, fill = FI.class)) +
  geom_col(col="black", size = 1.2)+
  xlab("Anno") + ylab("Proporzione") +
  labs(fill = "Fragilità")+
  scale_fill_manual(values = c("#03045e","#0077b6","#00b4d8","#caf0f8"))+
  theme_light()+
  scale_y_continuous(labels = scales::percent)+
  theme(legend.position = "bottom")+
  theme(text = element_text(size = 18))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1 ))
Warning: Using `size` aesthetic for lines was deprecated in ggplot2 3.4.0.
ℹ Please use `linewidth` instead.

#Gruppi di età
results$mortality$frailty.classes$eta %>% select(c(anno, age.groups, FI.gr, N)) -> data
data$tot.anno.eta <- NA
for (i in levels(data$anno))
{
  for (j in levels(data$age.groups))
  {
    data$tot.anno.eta[data$anno == i & data$age.groups == j] <- 
      sum(data$N[data$anno == i & data$age.groups == j])
  }
}
data$prop <- data$N/data$tot.anno.eta
data %>% kable()
anno age.groups FI.gr N tot.anno.eta prop
2011 50-59 Assente 240453 266957 0.9007181
2011 50-59 Lieve 24530 266957 0.0918875
2011 50-59 Moderata 1808 266957 0.0067726
2011 50-59 Grave 166 266957 0.0006218
2011 60-69 Assente 182999 228219 0.8018570
2011 60-69 Lieve 38582 228219 0.1690569
2011 60-69 Moderata 5715 228219 0.0250417
2011 60-69 Grave 923 228219 0.0040444
2011 70-79 Assente 112270 179442 0.6256618
2011 70-79 Lieve 50640 179442 0.2822082
2011 70-79 Moderata 13187 179442 0.0734889
2011 70-79 Grave 3345 179442 0.0186411
2011 80-89 Assente 47164 103279 0.4566659
2011 80-89 Lieve 35836 103279 0.3469824
2011 80-89 Moderata 15165 103279 0.1468353
2011 80-89 Grave 5114 103279 0.0495164
2011 90-99 Assente 7882 20413 0.3861265
2011 90-99 Lieve 7544 20413 0.3695684
2011 90-99 Moderata 3650 20413 0.1788076
2011 90-99 Grave 1337 20413 0.0654975
2011 100+ Assente 700 1212 0.5775578
2011 100+ Lieve 338 1212 0.2788779
2011 100+ Moderata 137 1212 0.1130363
2011 100+ Grave 37 1212 0.0305281
2012 50-59 Assente 238521 267635 0.8912175
2012 50-59 Lieve 26844 267635 0.1003008
2012 50-59 Moderata 2063 267635 0.0077083
2012 50-59 Grave 207 267635 0.0007734
2012 60-69 Assente 170867 225250 0.7585660
2012 60-69 Lieve 45963 225250 0.2040533
2012 60-69 Moderata 7174 225250 0.0318491
2012 60-69 Grave 1246 225250 0.0055316
2012 70-79 Assente 89732 176905 0.5072327
2012 70-79 Lieve 63986 176905 0.3616970
2012 70-79 Moderata 18247 176905 0.1031458
2012 70-79 Grave 4940 176905 0.0279246
2012 80-89 Assente 36335 103241 0.3519435
2012 80-89 Lieve 39889 103241 0.3863678
2012 80-89 Moderata 19382 103241 0.1877355
2012 80-89 Grave 7635 103241 0.0739532
2012 90-99 Assente 6751 21588 0.3127200
2012 90-99 Lieve 8183 21588 0.3790532
2012 90-99 Moderata 4672 21588 0.2164165
2012 90-99 Grave 1982 21588 0.0918103
2012 100+ Assente 718 1374 0.5225619
2012 100+ Lieve 410 1374 0.2983988
2012 100+ Moderata 178 1374 0.1295488
2012 100+ Grave 68 1374 0.0494905
2013 50-59 Assente 235984 267438 0.8823877
2013 50-59 Lieve 28870 267438 0.1079503
2013 50-59 Moderata 2335 267438 0.0087310
2013 50-59 Grave 249 267438 0.0009311
2013 60-69 Assente 164844 222611 0.7405025
2013 60-69 Lieve 48439 222611 0.2175948
2013 60-69 Moderata 7887 222611 0.0354295
2013 60-69 Grave 1441 222611 0.0064732
2013 70-79 Assente 81303 174941 0.4647453
2013 70-79 Lieve 67667 174941 0.3867990
2013 70-79 Moderata 20258 174941 0.1157990
2013 70-79 Grave 5713 174941 0.0326567
2013 80-89 Assente 31882 103245 0.3087995
2013 80-89 Lieve 40948 103245 0.3966100
2013 80-89 Moderata 21310 103245 0.2064022
2013 80-89 Grave 9105 103245 0.0881883
2013 90-99 Assente 6214 22704 0.2736963
2013 90-99 Lieve 8592 22704 0.3784355
2013 90-99 Moderata 5367 22704 0.2363901
2013 90-99 Grave 2531 22704 0.1114782
2013 100+ Assente 725 1499 0.4836558
2013 100+ Lieve 479 1499 0.3195464
2013 100+ Moderata 210 1499 0.1400934
2013 100+ Grave 85 1499 0.0567045
2014 50-59 Assente 233289 266835 0.8742819
2014 50-59 Lieve 30779 266835 0.1153484
2014 50-59 Moderata 2489 266835 0.0093279
2014 50-59 Grave 278 266835 0.0010418
2014 60-69 Assente 160817 221733 0.7252732
2014 60-69 Lieve 50598 221733 0.2281934
2014 60-69 Moderata 8711 221733 0.0392860
2014 60-69 Grave 1607 221733 0.0072475
2014 70-79 Assente 75707 171760 0.4407720
2014 70-79 Lieve 68241 171760 0.3973044
2014 70-79 Moderata 21478 171760 0.1250466
2014 70-79 Grave 6334 171760 0.0368770
2014 80-89 Assente 29148 103222 0.2823817
2014 80-89 Lieve 41141 103222 0.3985681
2014 80-89 Moderata 22307 103222 0.2161070
2014 80-89 Grave 10626 103222 0.1029432
2014 90-99 Assente 5690 23658 0.2405106
2014 90-99 Lieve 8842 23658 0.3737425
2014 90-99 Moderata 5957 23658 0.2517964
2014 90-99 Grave 3169 23658 0.1339505
2014 100+ Assente 726 1576 0.4606599
2014 100+ Lieve 488 1576 0.3096447
2014 100+ Moderata 245 1576 0.1554569
2014 100+ Grave 117 1576 0.0742386
2015 50-59 Assente 228670 265148 0.8624240
2015 50-59 Lieve 33249 265148 0.1253979
2015 50-59 Moderata 2907 265148 0.0109637
2015 50-59 Grave 322 265148 0.0012144
2015 60-69 Assente 157234 220547 0.7129274
2015 60-69 Lieve 52249 220547 0.2369064
2015 60-69 Moderata 9238 220547 0.0418868
2015 60-69 Grave 1826 220547 0.0082794
2015 70-79 Assente 71150 166906 0.4262879
2015 70-79 Lieve 67124 166906 0.4021665
2015 70-79 Moderata 21779 166906 0.1304866
2015 70-79 Grave 6853 166906 0.0410590
2015 80-89 Assente 27300 102407 0.2665833
2015 80-89 Lieve 40786 102407 0.3982736
2015 80-89 Moderata 23004 102407 0.2246331
2015 80-89 Grave 11317 102407 0.1105100
2015 90-99 Assente 5388 24476 0.2201340
2015 90-99 Lieve 8987 24476 0.3671760
2015 90-99 Moderata 6424 24476 0.2624612
2015 90-99 Grave 3677 24476 0.1502288
2015 100+ Assente 695 1593 0.4362837
2015 100+ Lieve 485 1593 0.3044570
2015 100+ Moderata 281 1593 0.1763967
2015 100+ Grave 132 1593 0.0828625
2016 50-59 Assente 223848 261773 0.8551226
2016 50-59 Lieve 34558 261773 0.1320151
2016 50-59 Moderata 3006 261773 0.0114832
2016 50-59 Grave 361 261773 0.0013791
2016 60-69 Assente 151581 213945 0.7085045
2016 60-69 Lieve 51267 213945 0.2396270
2016 60-69 Moderata 9258 213945 0.0432728
2016 60-69 Grave 1839 213945 0.0085957
2016 70-79 Assente 69677 165068 0.4221109
2016 70-79 Lieve 66317 165068 0.4017556
2016 70-79 Moderata 22082 165068 0.1337752
2016 70-79 Grave 6992 165068 0.0423583
2016 80-89 Assente 25684 99960 0.2569428
2016 80-89 Lieve 39507 99960 0.3952281
2016 80-89 Moderata 23124 99960 0.2313325
2016 80-89 Grave 11645 99960 0.1164966
2016 90-99 Assente 5067 24779 0.2044877
2016 90-99 Lieve 8949 24779 0.3611526
2016 90-99 Moderata 6765 24779 0.2730134
2016 90-99 Grave 3998 24779 0.1613463
2016 100+ Assente 670 1487 0.4505716
2016 100+ Lieve 434 1487 0.2918628
2016 100+ Moderata 249 1487 0.1674512
2016 100+ Grave 134 1487 0.0901143
2017 50-59 Assente 216534 255411 0.8477865
2017 50-59 Lieve 35418 255411 0.1386706
2017 50-59 Moderata 3079 255411 0.0120551
2017 50-59 Grave 380 255411 0.0014878
2017 60-69 Assente 145634 206437 0.7054646
2017 60-69 Lieve 49941 206437 0.2419188
2017 60-69 Moderata 9091 206437 0.0440376
2017 60-69 Grave 1771 206437 0.0085789
2017 70-79 Assente 67756 162241 0.4176256
2017 70-79 Lieve 65218 162241 0.4019822
2017 70-79 Moderata 22125 162241 0.1363712
2017 70-79 Grave 7142 162241 0.0440209
2017 80-89 Assente 24278 98076 0.2475427
2017 80-89 Lieve 38752 98076 0.3951222
2017 80-89 Moderata 22989 98076 0.2343999
2017 80-89 Grave 12057 98076 0.1229353
2017 90-99 Assente 4835 25306 0.1910614
2017 90-99 Lieve 8909 25306 0.3520509
2017 90-99 Moderata 7082 25306 0.2798546
2017 90-99 Grave 4480 25306 0.1770331
2017 100+ Assente 624 1381 0.4518465
2017 100+ Lieve 392 1381 0.2838523
2017 100+ Moderata 236 1381 0.1708907
2017 100+ Grave 129 1381 0.0934106
2018 50-59 Assente 211229 250504 0.8432161
2018 50-59 Lieve 35686 250504 0.1424568
2018 50-59 Moderata 3198 250504 0.0127663
2018 50-59 Grave 391 250504 0.0015609
2018 60-69 Assente 140729 200340 0.7024508
2018 60-69 Lieve 48875 200340 0.2439603
2018 60-69 Moderata 9012 200340 0.0449835
2018 60-69 Grave 1724 200340 0.0086054
2018 70-79 Assente 66280 159286 0.4161069
2018 70-79 Lieve 63936 159286 0.4013912
2018 70-79 Moderata 21903 159286 0.1375074
2018 70-79 Grave 7167 159286 0.0449945
2018 80-89 Assente 24041 97241 0.2472311
2018 80-89 Lieve 38193 97241 0.3927664
2018 80-89 Moderata 22784 97241 0.2343045
2018 80-89 Grave 12223 97241 0.1256980
2018 90-99 Assente 4627 25407 0.1821152
2018 90-99 Lieve 8793 25407 0.3460857
2018 90-99 Moderata 7172 25407 0.2822844
2018 90-99 Grave 4815 25407 0.1895147
2018 100+ Assente 540 1234 0.4376013
2018 100+ Lieve 362 1234 0.2933549
2018 100+ Moderata 210 1234 0.1701783
2018 100+ Grave 122 1234 0.0988655
2019 50-59 Assente 204505 244295 0.8371232
2019 50-59 Lieve 36096 244295 0.1477558
2019 50-59 Moderata 3297 244295 0.0134960
2019 50-59 Grave 397 244295 0.0016251
2019 60-69 Assente 136897 195589 0.6999218
2019 60-69 Lieve 48171 195589 0.2462869
2019 60-69 Moderata 8763 195589 0.0448031
2019 60-69 Grave 1758 195589 0.0089882
2019 70-79 Assente 63532 154038 0.4124437
2019 70-79 Lieve 62113 154038 0.4032317
2019 70-79 Moderata 21364 154038 0.1386930
2019 70-79 Grave 7029 154038 0.0456316
2019 80-89 Assente 22768 95477 0.2384658
2019 80-89 Lieve 37535 95477 0.3931313
2019 80-89 Moderata 22952 95477 0.2403930
2019 80-89 Grave 12222 95477 0.1280099
2019 90-99 Assente 4414 24760 0.1782714
2019 90-99 Lieve 8360 24760 0.3376414
2019 90-99 Moderata 7060 24760 0.2851373
2019 90-99 Grave 4926 24760 0.1989499
2019 100+ Assente 453 1144 0.3959790
2019 100+ Lieve 357 1144 0.3120629
2019 100+ Moderata 220 1144 0.1923077
2019 100+ Grave 114 1144 0.0996503
2020 50-59 Assente 196250 235969 0.8316770
2020 50-59 Lieve 35976 235969 0.1524607
2020 50-59 Moderata 3341 235969 0.0141586
2020 50-59 Grave 402 235969 0.0017036
2020 60-69 Assente 131390 189521 0.6932741
2020 60-69 Lieve 47752 189521 0.2519615
2020 60-69 Moderata 8660 189521 0.0456941
2020 60-69 Grave 1719 189521 0.0090702
2020 70-79 Assente 59191 146871 0.4030135
2020 70-79 Lieve 60183 146871 0.4097678
2020 70-79 Moderata 20661 146871 0.1406745
2020 70-79 Grave 6836 146871 0.0465442
2020 80-89 Assente 20842 92120 0.2262484
2020 80-89 Lieve 36564 92120 0.3969171
2020 80-89 Moderata 22396 92120 0.2431177
2020 80-89 Grave 12318 92120 0.1337169
2020 90-99 Assente 3856 24064 0.1602394
2020 90-99 Lieve 8150 24064 0.3386802
2020 90-99 Moderata 7014 24064 0.2914727
2020 90-99 Grave 5044 24064 0.2096077
2020 100+ Assente 384 1105 0.3475113
2020 100+ Lieve 373 1105 0.3375566
2020 100+ Moderata 235 1105 0.2126697
2020 100+ Grave 113 1105 0.1022624
2021 50-59 Assente 180383 218321 0.8262284
2021 50-59 Lieve 34342 218321 0.1573005
2021 50-59 Moderata 3250 218321 0.0148863
2021 50-59 Grave 346 218321 0.0015848
2021 60-69 Assente 122157 177310 0.6889459
2021 60-69 Lieve 45527 177310 0.2567650
2021 60-69 Moderata 8081 177310 0.0455755
2021 60-69 Grave 1545 177310 0.0087136
2021 70-79 Assente 52634 132958 0.3958694
2021 70-79 Lieve 55499 132958 0.4174175
2021 70-79 Moderata 18682 132958 0.1405105
2021 70-79 Grave 6143 132958 0.0462026
2021 80-89 Assente 17470 81886 0.2133454
2021 80-89 Lieve 33647 81886 0.4109005
2021 80-89 Moderata 19934 81886 0.2434360
2021 80-89 Grave 10835 81886 0.1323181
2021 90-99 Assente 2997 21274 0.1408762
2021 90-99 Lieve 7452 21274 0.3502867
2021 90-99 Moderata 6332 21274 0.2976403
2021 90-99 Grave 4493 21274 0.2111968
2021 100+ Assente 335 1056 0.3172348
2021 100+ Lieve 348 1056 0.3295455
2021 100+ Moderata 242 1056 0.2291667
2021 100+ Grave 131 1056 0.1240530 
data %>% 
  ggplot(aes(x=anno,
             y=prop,
             fill = factor(FI.gr, levels = c("Grave","Moderata","Lieve","Assente"))))+
  geom_col(col = "black")+
  facet_wrap(~age.groups, ncol = 3)+
  labs(fill = "Fragilità")+
  scale_fill_manual(values = c("#03045e","#0077b6","#00b4d8","#caf0f8"))+
  theme_light()+
  scale_y_continuous(labels = scales::percent)+
  theme(legend.position = "bottom")+
  theme(text = element_text(size = 18))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1 ))+
  ylab("Proporzione") + xlab("Anno")

#Sesso
data <- results$mortality$frailty.classes$sesso %>% 
  filter(sesso != "m") %>% select(c(anno, sesso, FI.gr, N)) 
data %>% kable()
anno sesso FI.gr N
2011 F Assente 319982
2011 F Lieve 88614
2011 F Moderata 21499
2011 F Grave 5549
2011 M Assente 271485
2011 M Lieve 68856
2011 M Moderata 18163
2011 M Grave 5373
2012 F Assente 290105
2012 F Lieve 105957
2012 F Moderata 28125
2012 F Grave 8264
2012 M Assente 252818
2012 M Lieve 79318
2012 M Moderata 23591
2012 M Grave 7814
2013 F Assente 276530
2013 F Lieve 112153
2013 F Moderata 31304
2013 F Grave 9904
2013 M Assente 244421
2013 M Lieve 82842
2013 M Moderata 26063
2013 M Grave 9220
2014 F Assente 266845
2014 F Lieve 115285
2014 F Moderata 33597
2014 F Grave 11595
2014 M Assente 238531
2014 M Lieve 84804
2014 M Moderata 27590
2014 M Grave 10536
2015 F Assente 257304
2015 F Lieve 116791
2015 F Moderata 34911
2015 F Grave 12641
2015 M Assente 233133
2015 M Lieve 86088
2015 M Moderata 28722
2015 M Grave 11486
2016 F Assente 248093
2016 F Lieve 115560
2016 F Moderata 35188
2016 F Grave 13075
2016 M Assente 228434
2016 M Lieve 85471
2016 M Moderata 29296
2016 M Grave 11894
2017 F Assente 237706
2017 F Lieve 114274
2017 F Moderata 35176
2017 F Grave 13557
2017 M Assente 221955
2017 M Lieve 84355
2017 M Moderata 29426
2017 M Grave 12402
2018 F Assente 229972
2018 F Lieve 112667
2018 F Moderata 35192
2018 F Grave 13837
2018 M Assente 217474
2018 M Lieve 83177
2018 M Moderata 29087
2018 M Grave 12605
2019 F Assente 220629
2019 F Lieve 110687
2019 F Moderata 34668
2019 F Grave 13868
2019 M Assente 211940
2019 M Lieve 81944
2019 M Moderata 28988
2019 M Grave 12578
2020 F Assente 207810
2020 F Lieve 108469
2020 F Moderata 33711
2020 F Grave 13842
2020 M Assente 204103
2020 M Lieve 80529
2020 M Moderata 28595
2020 M Grave 12590
2021 F Assente 186867
2021 F Lieve 100475
2021 F Moderata 30353
2021 F Grave 12103
2021 M Assente 189109
2021 M Lieve 76340
2021 M Moderata 26167
2021 M Grave 11390 
data$tot.anno.sex <- NA
for (i in levels(data$anno))
{
  for (j in levels(data$sesso))
  {
    data$tot.anno.sex[data$anno == i & data$sesso == j] <- 
      sum(data$N[data$anno == i & data$sesso == j])
  }
}
data$prop <- data$N/data$tot.anno.sex
data %>% kable()
anno sesso FI.gr N tot.anno.sex prop
2011 F Assente 319982 435644 0.7345034
2011 F Lieve 88614 435644 0.2034092
2011 F Moderata 21499 435644 0.0493499
2011 F Grave 5549 435644 0.0127375
2011 M Assente 271485 363877 0.7460900
2011 M Lieve 68856 363877 0.1892288
2011 M Moderata 18163 363877 0.0499152
2011 M Grave 5373 363877 0.0147660
2012 F Assente 290105 432451 0.6708390
2012 F Lieve 105957 432451 0.2450150
2012 F Moderata 28125 432451 0.0650363
2012 F Grave 8264 432451 0.0191097
2012 M Assente 252818 363541 0.6954319
2012 M Lieve 79318 363541 0.2181817
2012 M Moderata 23591 363541 0.0648923
2012 M Grave 7814 363541 0.0214941
2013 F Assente 276530 429891 0.6432561
2013 F Lieve 112153 429891 0.2608871
2013 F Moderata 31304 429891 0.0728185
2013 F Grave 9904 429891 0.0230384
2013 M Assente 244421 362546 0.6741793
2013 M Lieve 82842 362546 0.2285007
2013 M Moderata 26063 362546 0.0718888
2013 M Grave 9220 362546 0.0254313
2014 F Assente 266845 427322 0.6244588
2014 F Lieve 115285 427322 0.2697848
2014 F Moderata 33597 427322 0.0786222
2014 F Grave 11595 427322 0.0271341
2014 M Assente 238531 361461 0.6599080
2014 M Lieve 84804 361461 0.2346145
2014 M Moderata 27590 361461 0.0763291
2014 M Grave 10536 361461 0.0291484
2015 F Assente 257304 421647 0.6102356
2015 F Lieve 116791 421647 0.2769876
2015 F Moderata 34911 421647 0.0827967
2015 F Grave 12641 421647 0.0299801
2015 M Assente 233133 359429 0.6486205
2015 M Lieve 86088 359429 0.2395132
2015 M Moderata 28722 359429 0.0799101
2015 M Grave 11486 359429 0.0319562
2016 F Assente 248093 411916 0.6022903
2016 F Lieve 115560 411916 0.2805426
2016 F Moderata 35188 411916 0.0854252
2016 F Grave 13075 411916 0.0317419
2016 M Assente 228434 355095 0.6433039
2016 M Lieve 85471 355095 0.2406990
2016 M Moderata 29296 355095 0.0825019
2016 M Grave 11894 355095 0.0334953
2017 F Assente 237706 400713 0.5932076
2017 F Lieve 114274 400713 0.2851767
2017 F Moderata 35176 400713 0.0877835
2017 F Grave 13557 400713 0.0338322
2017 M Assente 221955 348138 0.6375489
2017 M Lieve 84355 348138 0.2423033
2017 M Moderata 29426 348138 0.0845240
2017 M Grave 12402 348138 0.0356238
2018 F Assente 229972 391668 0.5871606
2018 F Lieve 112667 391668 0.2876594
2018 F Moderata 35192 391668 0.0898516
2018 F Grave 13837 391668 0.0353284
2018 M Assente 217474 342343 0.6352518
2018 M Lieve 83177 342343 0.2429639
2018 M Moderata 29087 342343 0.0849645
2018 M Grave 12605 342343 0.0368198
2019 F Assente 220629 379852 0.5808288
2019 F Lieve 110687 379852 0.2913951
2019 F Moderata 34668 379852 0.0912671
2019 F Grave 13868 379852 0.0365090
2019 M Assente 211940 335450 0.6318080
2019 M Lieve 81944 335450 0.2442808
2019 M Moderata 28988 335450 0.0864153
2019 M Grave 12578 335450 0.0374959
2020 F Assente 207810 363832 0.5711702
2020 F Lieve 108469 363832 0.2981294
2020 F Moderata 33711 363832 0.0926554
2020 F Grave 13842 363832 0.0380450
2020 M Assente 204103 325817 0.6264345
2020 M Lieve 80529 325817 0.2471602
2020 M Moderata 28595 325817 0.0877640
2020 M Grave 12590 325817 0.0386413
2021 F Assente 186867 329798 0.5666105
2021 F Lieve 100475 329798 0.3046562
2021 F Moderata 30353 329798 0.0920351
2021 F Grave 12103 329798 0.0366982
2021 M Assente 189109 303006 0.6241098
2021 M Lieve 76340 303006 0.2519422
2021 M Moderata 26167 303006 0.0863580
2021 M Grave 11390 303006 0.0375900 
  data %>% 
  ggplot(aes(x=anno,
             y=prop,
             fill = factor(FI.gr, levels = c("Grave","Moderata","Lieve","Assente"))))+
  geom_col(col = "black")+
  facet_wrap(~sesso)+
  labs(fill = "Fragilità")+
  scale_fill_manual(values = c("#03045e","#0077b6","#00b4d8","#caf0f8"))+
  theme_light()+
  scale_y_continuous(labels = scales::percent)+
  theme(legend.position = "bottom")+
  theme(text = element_text(size = 18))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1 ))+
  ylab("Proporzione") + xlab("Anno")

#Area
data <- results$mortality$frailty.classes$area %>% 
  select(c(anno, area, FI.gr, N))  
data$tot.anno.area <- NA
for (i in levels(data$anno))
{
  for (j in levels(data$area))
  {
    data$tot.anno.area[data$anno == i & data$area == j] <- 
      sum(data$N[data$anno == i & data$area == j])
  }
}
data$prop <- data$N/data$tot.anno.area
data %>% kable()
anno area FI.gr N tot.anno.area prop
2011 Nord Assente 299099 385750 0.7753701
2011 Nord Lieve 67968 385750 0.1761970
2011 Nord Moderata 15068 385750 0.0390616
2011 Nord Grave 3615 385750 0.0093714
2011 Centro Assente 117419 154132 0.7618081
2011 Centro Lieve 28156 154132 0.1826746
2011 Centro Moderata 6829 154132 0.0443062
2011 Centro Grave 1728 154132 0.0112112
2011 Sud-Isole Assente 174950 259640 0.6738176
2011 Sud-Isole Lieve 61346 259640 0.2362733
2011 Sud-Isole Moderata 17765 259640 0.0684217
2011 Sud-Isole Grave 5579 259640 0.0214874
2012 Nord Assente 270118 383083 0.7051161
2012 Nord Lieve 84849 383083 0.2214899
2012 Nord Moderata 21911 383083 0.0571965
2012 Nord Grave 6205 383083 0.0161975
2012 Centro Assente 107197 152969 0.7007760
2012 Centro Lieve 33615 152969 0.2197504
2012 Centro Moderata 9386 152969 0.0613588
2012 Centro Grave 2771 152969 0.0181148
2012 Sud-Isole Assente 165609 259941 0.6371023
2012 Sud-Isole Lieve 66811 259941 0.2570237
2012 Sud-Isole Moderata 20419 259941 0.0785524
2012 Sud-Isole Grave 7102 259941 0.0273216
2013 Nord Assente 259513 379938 0.6830404
2013 Nord Lieve 88814 379938 0.2337592
2013 Nord Moderata 24214 379938 0.0637315
2013 Nord Grave 7397 379938 0.0194690
2013 Centro Assente 103550 152830 0.6775502
2013 Centro Lieve 35435 152830 0.2318589
2013 Centro Moderata 10567 152830 0.0691422
2013 Centro Grave 3278 152830 0.0214487
2013 Sud-Isole Assente 157889 259670 0.6080371
2013 Sud-Isole Lieve 70746 259670 0.2724458
2013 Sud-Isole Moderata 22586 259670 0.0869796
2013 Sud-Isole Grave 8449 259670 0.0325375
2014 Nord Assente 251103 376581 0.6667968
2014 Nord Lieve 90800 376581 0.2411168
2014 Nord Moderata 25876 376581 0.0687130
2014 Nord Grave 8802 376581 0.0233735
2014 Centro Assente 100407 152050 0.6603551
2014 Centro Lieve 36439 152050 0.2396514
2014 Centro Moderata 11353 152050 0.0746662
2014 Centro Grave 3851 152050 0.0253272
2014 Sud-Isole Assente 153867 260153 0.5914481
2014 Sud-Isole Lieve 72850 260153 0.2800275
2014 Sud-Isole Moderata 23958 260153 0.0920920
2014 Sud-Isole Grave 9478 260153 0.0364324
2015 Nord Assente 243146 371966 0.6536780
2015 Nord Lieve 92368 371966 0.2483238
2015 Nord Moderata 26904 371966 0.0723292
2015 Nord Grave 9548 371966 0.0256690
2015 Centro Assente 97669 150702 0.6480936
2015 Centro Lieve 36878 150702 0.2447081
2015 Centro Moderata 11879 150702 0.0788244
2015 Centro Grave 4276 150702 0.0283739
2015 Sud-Isole Assente 149622 258409 0.5790123
2015 Sud-Isole Lieve 73634 258409 0.2849514
2015 Sud-Isole Moderata 24850 258409 0.0961654
2015 Sud-Isole Grave 10303 258409 0.0398709
2016 Nord Assente 235242 362616 0.6487359
2016 Nord Lieve 90589 362616 0.2498207
2016 Nord Moderata 27030 362616 0.0745417
2016 Nord Grave 9755 362616 0.0269017
2016 Centro Assente 95340 148495 0.6420418
2016 Centro Lieve 36717 148495 0.2472609
2016 Centro Moderata 12001 148495 0.0808175
2016 Centro Grave 4437 148495 0.0298798
2016 Sud-Isole Assente 145945 255901 0.5703182
2016 Sud-Isole Lieve 73726 255901 0.2881036
2016 Sud-Isole Moderata 25453 255901 0.0994642
2016 Sud-Isole Grave 10777 255901 0.0421139
2017 Nord Assente 224569 349537 0.6424756
2017 Nord Lieve 88512 349537 0.2532264
2017 Nord Moderata 26532 349537 0.0759061
2017 Nord Grave 9924 349537 0.0283918
2017 Centro Assente 92858 146669 0.6331127
2017 Centro Lieve 36731 146669 0.2504347
2017 Centro Moderata 12318 146669 0.0839850
2017 Centro Grave 4762 146669 0.0324677
2017 Sud-Isole Assente 142234 252646 0.5629774
2017 Sud-Isole Lieve 73387 252646 0.2904736
2017 Sud-Isole Moderata 25752 252646 0.1019292
2017 Sud-Isole Grave 11273 252646 0.0446197
2018 Nord Assente 214433 337135 0.6360449
2018 Nord Lieve 86629 337135 0.2569564
2018 Nord Moderata 26085 337135 0.0773726
2018 Nord Grave 9988 337135 0.0296261
2018 Centro Assente 91915 145578 0.6313797
2018 Centro Lieve 36360 145578 0.2497630
2018 Centro Moderata 12278 145578 0.0843397
2018 Centro Grave 5025 145578 0.0345176
2018 Sud-Isole Assente 141098 251299 0.5614746
2018 Sud-Isole Lieve 72856 251299 0.2899176
2018 Sud-Isole Moderata 25916 251299 0.1031281
2018 Sud-Isole Grave 11429 251299 0.0454797
2019 Nord Assente 204170 322978 0.6321483
2019 Nord Lieve 83472 322978 0.2584448
2019 Nord Moderata 25589 322978 0.0792283
2019 Nord Grave 9747 322978 0.0301785
2019 Centro Assente 90485 144367 0.6267707
2019 Centro Lieve 36329 144367 0.2516434
2019 Centro Moderata 12408 144367 0.0859476
2019 Centro Grave 5145 144367 0.0356383
2019 Sud-Isole Assente 137914 247958 0.5561990
2019 Sud-Isole Lieve 72831 247958 0.2937231
2019 Sud-Isole Moderata 25659 247958 0.1034812
2019 Sud-Isole Grave 11554 247958 0.0465966
2020 Nord Assente 191762 306761 0.6251186
2020 Nord Lieve 80558 306761 0.2626083
2020 Nord Moderata 24810 306761 0.0808773
2020 Nord Grave 9631 306761 0.0313958
2020 Centro Assente 87372 140894 0.6201258
2020 Centro Lieve 36055 140894 0.2559016
2020 Centro Moderata 12244 140894 0.0869022
2020 Centro Grave 5223 140894 0.0370704
2020 Sud-Isole Assente 132779 241995 0.5486849
2020 Sud-Isole Lieve 72385 241995 0.2991178
2020 Sud-Isole Moderata 25253 241995 0.1043534
2020 Sud-Isole Grave 11578 241995 0.0478440
2021 Nord Assente 173714 277985 0.6249042
2021 Nord Lieve 74036 277985 0.2663309
2021 Nord Moderata 22030 277985 0.0792489
2021 Nord Grave 8205 277985 0.0295160
2021 Centro Assente 80535 130638 0.6164745
2021 Centro Lieve 34023 130638 0.2604372
2021 Centro Moderata 11346 130638 0.0868507
2021 Centro Grave 4734 130638 0.0362375
2021 Sud-Isole Assente 121727 224182 0.5429829
2021 Sud-Isole Lieve 68756 224182 0.3066972
2021 Sud-Isole Moderata 23145 224182 0.1032420
2021 Sud-Isole Grave 10554 224182 0.0470778 
data %>% 
ggplot(aes(x=anno,
             y=prop,
             fill = factor(FI.gr, levels = c("Grave","Moderata","Lieve","Assente"))))+
  geom_col(col = "black")+
  facet_wrap(~area)+
  labs(fill = "Fragilità")+
  scale_fill_manual(values = c("#03045e","#0077b6","#00b4d8","#caf0f8"))+
  theme_light()+
  scale_y_continuous(labels = scales::percent)+
  theme(legend.position = "bottom")+
  theme(text = element_text(size = 18))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1 ))+
  ylab("Proporzione") + xlab("Anno")

#regioni
results$generali$regione %>% select(c("anno","regione","no.Frailty","mild.Frailty","mod.Frailty","sev.Frailty", "tot.N")) %>% 
  pivot_longer(-c("anno", "tot.N", "regione"), values_to = "count", names_to = "FI.gr") %>% 
  mutate(prop = count/tot.N,
         FI.class = factor(FI.gr, levels = c("sev.Frailty","mod.Frailty","mild.Frailty","no.Frailty"),
                           labels = c("Grave","Moderata","Lieve","Assente"))) -> data
data %>% kable()
anno regione tot.N FI.gr count prop FI.class
2011 Abruzzo 22870 no.Frailty 17143 0.7495846 Assente
2011 Abruzzo 22870 mild.Frailty 4263 0.1864014 Lieve
2011 Abruzzo 22870 mod.Frailty 1165 0.0509401 Moderata
2011 Abruzzo 22870 sev.Frailty 299 0.0130739 Grave
2011 Basilicata 8889 no.Frailty 6433 0.7237035 Assente
2011 Basilicata 8889 mild.Frailty 1884 0.2119474 Lieve
2011 Basilicata 8889 mod.Frailty 451 0.0507369 Moderata
2011 Basilicata 8889 sev.Frailty 121 0.0136123 Grave
2011 Calabria 23395 no.Frailty 16671 0.7125882 Assente
2011 Calabria 23395 mild.Frailty 5119 0.2188074 Lieve
2011 Calabria 23395 mod.Frailty 1324 0.0565933 Moderata
2011 Calabria 23395 sev.Frailty 281 0.0120111 Grave
2011 Campania 67789 no.Frailty 42068 0.6205727 Assente
2011 Campania 67789 mild.Frailty 17369 0.2562215 Lieve
2011 Campania 67789 mod.Frailty 6043 0.0891443 Moderata
2011 Campania 67789 sev.Frailty 2309 0.0340616 Grave
2011 Emilia-Romagna 45855 no.Frailty 34171 0.7451968 Assente
2011 Emilia-Romagna 45855 mild.Frailty 9061 0.1976011 Lieve
2011 Emilia-Romagna 45855 mod.Frailty 2135 0.0465598 Moderata
2011 Emilia-Romagna 45855 sev.Frailty 488 0.0106422 Grave
2011 Friuli-Venezia Giulia 45545 no.Frailty 35409 0.7774509 Assente
2011 Friuli-Venezia Giulia 45545 mild.Frailty 7967 0.1749259 Lieve
2011 Friuli-Venezia Giulia 45545 mod.Frailty 1756 0.0385553 Moderata
2011 Friuli-Venezia Giulia 45545 sev.Frailty 413 0.0090680 Grave
2011 Lazio 60841 no.Frailty 44932 0.7385151 Assente
2011 Lazio 60841 mild.Frailty 11830 0.1944412 Lieve
2011 Lazio 60841 mod.Frailty 3186 0.0523660 Moderata
2011 Lazio 60841 sev.Frailty 893 0.0146776 Grave
2011 Liguria 33321 no.Frailty 27009 0.8105699 Assente
2011 Liguria 33321 mild.Frailty 5031 0.1509859 Lieve
2011 Liguria 33321 mod.Frailty 1044 0.0313316 Moderata
2011 Liguria 33321 sev.Frailty 237 0.0071126 Grave
2011 Lombardia 131938 no.Frailty 102861 0.7796162 Assente
2011 Lombardia 131938 mild.Frailty 22418 0.1699131 Lieve
2011 Lombardia 131938 mod.Frailty 5185 0.0392988 Moderata
2011 Lombardia 131938 sev.Frailty 1474 0.0111719 Grave
2011 Marche 18018 no.Frailty 13840 0.7681208 Assente
2011 Marche 18018 mild.Frailty 3315 0.1839827 Lieve
2011 Marche 18018 mod.Frailty 719 0.0399045 Moderata
2011 Marche 18018 sev.Frailty 144 0.0079920 Grave
2011 Piemonte 62224 no.Frailty 46660 0.7498714 Assente
2011 Piemonte 62224 mild.Frailty 12482 0.2005978 Lieve
2011 Piemonte 62224 mod.Frailty 2604 0.0418488 Moderata
2011 Piemonte 62224 sev.Frailty 478 0.0076819 Grave
2011 Puglia 51139 no.Frailty 33449 0.6540801 Assente
2011 Puglia 51139 mild.Frailty 13140 0.2569468 Lieve
2011 Puglia 51139 mod.Frailty 3574 0.0698880 Moderata
2011 Puglia 51139 sev.Frailty 976 0.0190852 Grave
2011 Sardegna 18592 no.Frailty 14786 0.7952883 Assente
2011 Sardegna 18592 mild.Frailty 3081 0.1657164 Lieve
2011 Sardegna 18592 mod.Frailty 608 0.0327022 Moderata
2011 Sardegna 18592 sev.Frailty 117 0.0062930 Grave
2011 Sicilia 66966 no.Frailty 44400 0.6630230 Assente
2011 Sicilia 66966 mild.Frailty 16490 0.2462444 Lieve
2011 Sicilia 66966 mod.Frailty 4600 0.0686916 Moderata
2011 Sicilia 66966 sev.Frailty 1476 0.0220410 Grave
2011 Toscana 48380 no.Frailty 38107 0.7876602 Assente
2011 Toscana 48380 mild.Frailty 8123 0.1679000 Lieve
2011 Toscana 48380 mod.Frailty 1739 0.0359446 Moderata
2011 Toscana 48380 sev.Frailty 411 0.0084952 Grave
2011 Trentino-Alto Adige 9666 no.Frailty 7567 0.7828471 Assente
2011 Trentino-Alto Adige 9666 mild.Frailty 1670 0.1727705 Lieve
2011 Trentino-Alto Adige 9666 mod.Frailty 353 0.0365198 Moderata
2011 Trentino-Alto Adige 9666 sev.Frailty 76 0.0078626 Grave
2011 Umbria 26893 no.Frailty 20540 0.7637675 Assente
2011 Umbria 26893 mild.Frailty 4888 0.1817573 Lieve
2011 Umbria 26893 mod.Frailty 1185 0.0440635 Moderata
2011 Umbria 26893 sev.Frailty 280 0.0104116 Grave
2011 Valle d’Aosta 2273 no.Frailty 1968 0.8658161 Assente
2011 Valle d’Aosta 2273 mild.Frailty 262 0.1152662 Lieve
2011 Valle d’Aosta 2273 mod.Frailty 39 0.0171579 Moderata
2011 Valle d’Aosta 2273 sev.Frailty 4 0.0017598 Grave
2011 Veneto 54928 no.Frailty 43454 0.7911084 Assente
2011 Veneto 54928 mild.Frailty 9077 0.1652527 Lieve
2011 Veneto 54928 mod.Frailty 1952 0.0355374 Moderata
2011 Veneto 54928 sev.Frailty 445 0.0081015 Grave
2012 Abruzzo 22650 no.Frailty 14943 0.6597351 Assente
2012 Abruzzo 22650 mild.Frailty 5419 0.2392494 Lieve
2012 Abruzzo 22650 mod.Frailty 1718 0.0758499 Moderata
2012 Abruzzo 22650 sev.Frailty 570 0.0251656 Grave
2012 Basilicata 9145 no.Frailty 5893 0.6443958 Assente
2012 Basilicata 9145 mild.Frailty 2378 0.2600328 Lieve
2012 Basilicata 9145 mod.Frailty 670 0.0732641 Moderata
2012 Basilicata 9145 sev.Frailty 204 0.0223073 Grave
2012 Calabria 23310 no.Frailty 15102 0.6478764 Assente
2012 Calabria 23310 mild.Frailty 6052 0.2596311 Lieve
2012 Calabria 23310 mod.Frailty 1685 0.0722866 Moderata
2012 Calabria 23310 sev.Frailty 471 0.0202059 Grave
2012 Campania 67859 no.Frailty 41506 0.6116506 Assente
2012 Campania 67859 mild.Frailty 17351 0.2556919 Lieve
2012 Campania 67859 mod.Frailty 6313 0.0930311 Moderata
2012 Campania 67859 sev.Frailty 2689 0.0396263 Grave
2012 Emilia-Romagna 44729 no.Frailty 28843 0.6448389 Assente
2012 Emilia-Romagna 44729 mild.Frailty 11411 0.2551141 Lieve
2012 Emilia-Romagna 44729 mod.Frailty 3424 0.0765499 Moderata
2012 Emilia-Romagna 44729 sev.Frailty 1051 0.0234971 Grave
2012 Friuli-Venezia Giulia 45139 no.Frailty 34099 0.7554221 Assente
2012 Friuli-Venezia Giulia 45139 mild.Frailty 8526 0.1888832 Lieve
2012 Friuli-Venezia Giulia 45139 mod.Frailty 1967 0.0435765 Moderata
2012 Friuli-Venezia Giulia 45139 sev.Frailty 547 0.0121181 Grave
2012 Lazio 60026 no.Frailty 41504 0.6914337 Assente
2012 Lazio 60026 mild.Frailty 13425 0.2236531 Lieve
2012 Lazio 60026 mod.Frailty 3870 0.0644721 Moderata
2012 Lazio 60026 sev.Frailty 1227 0.0204411 Grave
2012 Liguria 31733 no.Frailty 22728 0.7162260 Assente
2012 Liguria 31733 mild.Frailty 6778 0.2135947 Lieve
2012 Liguria 31733 mod.Frailty 1756 0.0553367 Moderata
2012 Liguria 31733 sev.Frailty 471 0.0148426 Grave
2012 Lombardia 132752 no.Frailty 93949 0.7077031 Assente
2012 Lombardia 132752 mild.Frailty 28849 0.2173150 Lieve
2012 Lombardia 132752 mod.Frailty 7587 0.0571517 Moderata
2012 Lombardia 132752 sev.Frailty 2367 0.0178302 Grave
2012 Marche 17989 no.Frailty 12316 0.6846406 Assente
2012 Marche 17989 mild.Frailty 4289 0.2384235 Lieve
2012 Marche 17989 mod.Frailty 1099 0.0610929 Moderata
2012 Marche 17989 sev.Frailty 285 0.0158430 Grave
2012 Piemonte 62093 no.Frailty 44056 0.7095164 Assente
2012 Piemonte 62093 mild.Frailty 14142 0.2277551 Lieve
2012 Piemonte 62093 mod.Frailty 3238 0.0521476 Moderata
2012 Piemonte 62093 sev.Frailty 657 0.0105809 Grave
2012 Puglia 51858 no.Frailty 31999 0.6170504 Assente
2012 Puglia 51858 mild.Frailty 14424 0.2781442 Lieve
2012 Puglia 51858 mod.Frailty 4130 0.0796406 Moderata
2012 Puglia 51858 sev.Frailty 1305 0.0251649 Grave
2012 Sardegna 18802 no.Frailty 13196 0.7018402 Assente
2012 Sardegna 18802 mild.Frailty 4382 0.2330603 Lieve
2012 Sardegna 18802 mod.Frailty 1023 0.0544091 Moderata
2012 Sardegna 18802 sev.Frailty 201 0.0106904 Grave
2012 Sicilia 66317 no.Frailty 42970 0.6479485 Assente
2012 Sicilia 66317 mild.Frailty 16805 0.2534041 Lieve
2012 Sicilia 66317 mod.Frailty 4880 0.0735860 Moderata
2012 Sicilia 66317 sev.Frailty 1662 0.0250614 Grave
2012 Toscana 48140 no.Frailty 34997 0.7269838 Assente
2012 Toscana 48140 mild.Frailty 9844 0.2044869 Lieve
2012 Toscana 48140 mod.Frailty 2619 0.0544038 Moderata
2012 Toscana 48140 sev.Frailty 680 0.0141255 Grave
2012 Trentino-Alto Adige 9349 no.Frailty 6765 0.7236068 Assente
2012 Trentino-Alto Adige 9349 mild.Frailty 1998 0.2137127 Lieve
2012 Trentino-Alto Adige 9349 mod.Frailty 449 0.0480265 Moderata
2012 Trentino-Alto Adige 9349 sev.Frailty 137 0.0146540 Grave
2012 Umbria 26814 no.Frailty 18380 0.6854628 Assente
2012 Umbria 26814 mild.Frailty 6057 0.2258895 Lieve
2012 Umbria 26814 mod.Frailty 1798 0.0670545 Moderata
2012 Umbria 26814 sev.Frailty 579 0.0215932 Grave
2012 Valle d’Aosta 2277 no.Frailty 1817 0.7979798 Assente
2012 Valle d’Aosta 2277 mild.Frailty 361 0.1585419 Lieve
2012 Valle d’Aosta 2277 mod.Frailty 85 0.0373298 Moderata
2012 Valle d’Aosta 2277 sev.Frailty 14 0.0061484 Grave
2012 Veneto 55011 no.Frailty 37861 0.6882442 Assente
2012 Veneto 55011 mild.Frailty 12784 0.2323899 Lieve
2012 Veneto 55011 mod.Frailty 3405 0.0618967 Moderata
2012 Veneto 55011 sev.Frailty 961 0.0174692 Grave
2013 Abruzzo 22354 no.Frailty 14421 0.6451194 Assente
2013 Abruzzo 22354 mild.Frailty 5517 0.2468015 Lieve
2013 Abruzzo 22354 mod.Frailty 1794 0.0802541 Moderata
2013 Abruzzo 22354 sev.Frailty 622 0.0278250 Grave
2013 Basilicata 9524 no.Frailty 6017 0.6317724 Assente
2013 Basilicata 9524 mild.Frailty 2531 0.2657497 Lieve
2013 Basilicata 9524 mod.Frailty 750 0.0787484 Moderata
2013 Basilicata 9524 sev.Frailty 226 0.0237295 Grave
2013 Calabria 22628 no.Frailty 14106 0.6233870 Assente
2013 Calabria 22628 mild.Frailty 6114 0.2701962 Lieve
2013 Calabria 22628 mod.Frailty 1818 0.0803429 Moderata
2013 Calabria 22628 sev.Frailty 590 0.0260739 Grave
2013 Campania 67936 no.Frailty 40833 0.6010510 Assente
2013 Campania 67936 mild.Frailty 17629 0.2594942 Lieve
2013 Campania 67936 mod.Frailty 6539 0.0962524 Moderata
2013 Campania 67936 sev.Frailty 2935 0.0432024 Grave
2013 Emilia-Romagna 44076 no.Frailty 27688 0.6281877 Assente
2013 Emilia-Romagna 44076 mild.Frailty 11534 0.2616844 Lieve
2013 Emilia-Romagna 44076 mod.Frailty 3640 0.0825846 Moderata
2013 Emilia-Romagna 44076 sev.Frailty 1214 0.0275433 Grave
2013 Friuli-Venezia Giulia 45014 no.Frailty 32057 0.7121562 Assente
2013 Friuli-Venezia Giulia 45014 mild.Frailty 9580 0.2128227 Lieve
2013 Friuli-Venezia Giulia 45014 mod.Frailty 2592 0.0575821 Moderata
2013 Friuli-Venezia Giulia 45014 sev.Frailty 785 0.0174390 Grave
2013 Lazio 60140 no.Frailty 40804 0.6784835 Assente
2013 Lazio 60140 mild.Frailty 13777 0.2290821 Lieve
2013 Lazio 60140 mod.Frailty 4170 0.0693382 Moderata
2013 Lazio 60140 sev.Frailty 1389 0.0230961 Grave
2013 Liguria 30564 no.Frailty 21249 0.6952297 Assente
2013 Liguria 30564 mild.Frailty 6856 0.2243162 Lieve
2013 Liguria 30564 mod.Frailty 1905 0.0623282 Moderata
2013 Liguria 30564 sev.Frailty 554 0.0181259 Grave
2013 Lombardia 132798 no.Frailty 91231 0.6869908 Assente
2013 Lombardia 132798 mild.Frailty 30297 0.2281435 Lieve
2013 Lombardia 132798 mod.Frailty 8451 0.0636380 Moderata
2013 Lombardia 132798 sev.Frailty 2819 0.0212277 Grave
2013 Marche 18050 no.Frailty 11875 0.6578947 Assente
2013 Marche 18050 mild.Frailty 4608 0.2552909 Lieve
2013 Marche 18050 mod.Frailty 1242 0.0688089 Moderata
2013 Marche 18050 sev.Frailty 325 0.0180055 Grave
2013 Piemonte 61761 no.Frailty 42566 0.6892052 Assente
2013 Piemonte 61761 mild.Frailty 15035 0.2434384 Lieve
2013 Piemonte 61761 mod.Frailty 3398 0.0550185 Moderata
2013 Piemonte 61761 sev.Frailty 762 0.0123379 Grave
2013 Puglia 52086 no.Frailty 30895 0.5931536 Assente
2013 Puglia 52086 mild.Frailty 15178 0.2914027 Lieve
2013 Puglia 52086 mod.Frailty 4503 0.0864532 Moderata
2013 Puglia 52086 sev.Frailty 1510 0.0289905 Grave
2013 Sardegna 19025 no.Frailty 12913 0.6787385 Assente
2013 Sardegna 19025 mild.Frailty 4679 0.2459396 Lieve
2013 Sardegna 19025 mod.Frailty 1172 0.0616032 Moderata
2013 Sardegna 19025 sev.Frailty 261 0.0137188 Grave
2013 Sicilia 66117 no.Frailty 38704 0.5853865 Assente
2013 Sicilia 66117 mild.Frailty 19098 0.2888516 Lieve
2013 Sicilia 66117 mod.Frailty 6010 0.0908995 Moderata
2013 Sicilia 66117 sev.Frailty 2305 0.0348624 Grave
2013 Toscana 48423 no.Frailty 33495 0.6917167 Assente
2013 Toscana 48423 mild.Frailty 10892 0.2249344 Lieve
2013 Toscana 48423 mod.Frailty 3142 0.0648865 Moderata
2013 Toscana 48423 sev.Frailty 894 0.0184623 Grave
2013 Trentino-Alto Adige 8511 no.Frailty 6022 0.7075549 Assente
2013 Trentino-Alto Adige 8511 mild.Frailty 1894 0.2225355 Lieve
2013 Trentino-Alto Adige 8511 mod.Frailty 445 0.0522853 Moderata
2013 Trentino-Alto Adige 8511 sev.Frailty 150 0.0176243 Grave
2013 Umbria 26217 no.Frailty 17376 0.6627761 Assente
2013 Umbria 26217 mild.Frailty 6158 0.2348858 Lieve
2013 Umbria 26217 mod.Frailty 2013 0.0767822 Moderata
2013 Umbria 26217 sev.Frailty 670 0.0255559 Grave
2013 Valle d’Aosta 2277 no.Frailty 1814 0.7966623 Assente
2013 Valle d’Aosta 2277 mild.Frailty 353 0.1550285 Lieve
2013 Valle d’Aosta 2277 mod.Frailty 94 0.0412824 Moderata
2013 Valle d’Aosta 2277 sev.Frailty 16 0.0070268 Grave
2013 Veneto 54937 no.Frailty 36886 0.6714236 Assente
2013 Veneto 54937 mild.Frailty 13265 0.2414584 Lieve
2013 Veneto 54937 mod.Frailty 3689 0.0671496 Moderata
2013 Veneto 54937 sev.Frailty 1097 0.0199683 Grave
2014 Abruzzo 22255 no.Frailty 14077 0.6325320 Assente
2014 Abruzzo 22255 mild.Frailty 5591 0.2512244 Lieve
2014 Abruzzo 22255 mod.Frailty 1884 0.0846551 Moderata
2014 Abruzzo 22255 sev.Frailty 703 0.0315884 Grave
2014 Basilicata 9722 no.Frailty 5932 0.6101625 Assente
2014 Basilicata 9722 mild.Frailty 2676 0.2752520 Lieve
2014 Basilicata 9722 mod.Frailty 845 0.0869163 Moderata
2014 Basilicata 9722 sev.Frailty 269 0.0276692 Grave
2014 Calabria 22256 no.Frailty 13428 0.6033429 Assente
2014 Calabria 22256 mild.Frailty 6238 0.2802840 Lieve
2014 Calabria 22256 mod.Frailty 1925 0.0864935 Moderata
2014 Calabria 22256 sev.Frailty 665 0.0298796 Grave
2014 Campania 68398 no.Frailty 40163 0.5871955 Assente
2014 Campania 68398 mild.Frailty 18172 0.2656803 Lieve
2014 Campania 68398 mod.Frailty 6870 0.1004415 Moderata
2014 Campania 68398 sev.Frailty 3193 0.0466827 Grave
2014 Emilia-Romagna 43628 no.Frailty 26843 0.6152700 Assente
2014 Emilia-Romagna 43628 mild.Frailty 11641 0.2668241 Lieve
2014 Emilia-Romagna 43628 mod.Frailty 3751 0.0859769 Moderata
2014 Emilia-Romagna 43628 sev.Frailty 1393 0.0319290 Grave
2014 Friuli-Venezia Giulia 45084 no.Frailty 30135 0.6684190 Assente
2014 Friuli-Venezia Giulia 45084 mild.Frailty 10786 0.2392423 Lieve
2014 Friuli-Venezia Giulia 45084 mod.Frailty 3157 0.0700248 Moderata
2014 Friuli-Venezia Giulia 45084 sev.Frailty 1006 0.0223139 Grave
2014 Lazio 59833 no.Frailty 39610 0.6620093 Assente
2014 Lazio 59833 mild.Frailty 14180 0.2369930 Lieve
2014 Lazio 59833 mod.Frailty 4463 0.0745909 Moderata
2014 Lazio 59833 sev.Frailty 1580 0.0264068 Grave
2014 Liguria 29450 no.Frailty 20025 0.6799660 Assente
2014 Liguria 29450 mild.Frailty 6840 0.2322581 Lieve
2014 Liguria 29450 mod.Frailty 1985 0.0674024 Moderata
2014 Liguria 29450 sev.Frailty 600 0.0203735 Grave
2014 Lombardia 132594 no.Frailty 88886 0.6703622 Assente
2014 Lombardia 132594 mild.Frailty 30909 0.2331101 Lieve
2014 Lombardia 132594 mod.Frailty 9217 0.0695129 Moderata
2014 Lombardia 132594 sev.Frailty 3582 0.0270148 Grave
2014 Marche 17972 no.Frailty 11643 0.6478411 Assente
2014 Marche 17972 mild.Frailty 4684 0.2606276 Lieve
2014 Marche 17972 mod.Frailty 1289 0.0717227 Moderata
2014 Marche 17972 sev.Frailty 356 0.0198086 Grave
2014 Piemonte 61131 no.Frailty 41682 0.6818472 Assente
2014 Piemonte 61131 mild.Frailty 15128 0.2474686 Lieve
2014 Piemonte 61131 mod.Frailty 3524 0.0576467 Moderata
2014 Piemonte 61131 sev.Frailty 797 0.0130376 Grave
2014 Puglia 52142 no.Frailty 30038 0.5760807 Assente
2014 Puglia 52142 mild.Frailty 15600 0.2991830 Lieve
2014 Puglia 52142 mod.Frailty 4810 0.0922481 Moderata
2014 Puglia 52142 sev.Frailty 1694 0.0324882 Grave
2014 Sardegna 18987 no.Frailty 12497 0.6581872 Assente
2014 Sardegna 18987 mild.Frailty 4909 0.2585453 Lieve
2014 Sardegna 18987 mod.Frailty 1251 0.0658872 Moderata
2014 Sardegna 18987 sev.Frailty 330 0.0173803 Grave
2014 Sicilia 66393 no.Frailty 37732 0.5683129 Assente
2014 Sicilia 66393 mild.Frailty 19664 0.2961758 Lieve
2014 Sicilia 66393 mod.Frailty 6373 0.0959890 Moderata
2014 Sicilia 66393 sev.Frailty 2624 0.0395222 Grave
2014 Toscana 48482 no.Frailty 32657 0.6735902 Assente
2014 Toscana 48482 mild.Frailty 11292 0.2329112 Lieve
2014 Toscana 48482 mod.Frailty 3421 0.0705623 Moderata
2014 Toscana 48482 sev.Frailty 1112 0.0229363 Grave
2014 Trentino-Alto Adige 7659 no.Frailty 5405 0.7057057 Assente
2014 Trentino-Alto Adige 7659 mild.Frailty 1665 0.2173913 Lieve
2014 Trentino-Alto Adige 7659 mod.Frailty 436 0.0569265 Moderata
2014 Trentino-Alto Adige 7659 sev.Frailty 153 0.0199765 Grave
2014 Umbria 25763 no.Frailty 16497 0.6403369 Assente
2014 Umbria 25763 mild.Frailty 6283 0.2438769 Lieve
2014 Umbria 25763 mod.Frailty 2180 0.0846175 Moderata
2014 Umbria 25763 sev.Frailty 803 0.0311687 Grave
2014 Valle d’Aosta 2409 no.Frailty 1903 0.7899543 Assente
2014 Valle d’Aosta 2409 mild.Frailty 386 0.1602325 Lieve
2014 Valle d’Aosta 2409 mod.Frailty 93 0.0386052 Moderata
2014 Valle d’Aosta 2409 sev.Frailty 27 0.0112080 Grave
2014 Veneto 54626 no.Frailty 36224 0.6631274 Assente
2014 Veneto 54626 mild.Frailty 13445 0.2461282 Lieve
2014 Veneto 54626 mod.Frailty 3713 0.0679713 Moderata
2014 Veneto 54626 sev.Frailty 1244 0.0227730 Grave
2015 Abruzzo 22125 no.Frailty 13778 0.6227345 Assente
2015 Abruzzo 22125 mild.Frailty 5663 0.2559548 Lieve
2015 Abruzzo 22125 mod.Frailty 1931 0.0872768 Moderata
2015 Abruzzo 22125 sev.Frailty 753 0.0340339 Grave
2015 Basilicata 9840 no.Frailty 5879 0.5974593 Assente
2015 Basilicata 9840 mild.Frailty 2799 0.2844512 Lieve
2015 Basilicata 9840 mod.Frailty 847 0.0860772 Moderata
2015 Basilicata 9840 sev.Frailty 315 0.0320122 Grave
2015 Calabria 21483 no.Frailty 12706 0.5914444 Assente
2015 Calabria 21483 mild.Frailty 6113 0.2845506 Lieve
2015 Calabria 21483 mod.Frailty 1942 0.0903971 Moderata
2015 Calabria 21483 sev.Frailty 722 0.0336080 Grave
2015 Campania 68490 no.Frailty 39610 0.5783326 Assente
2015 Campania 68490 mild.Frailty 18449 0.2693678 Lieve
2015 Campania 68490 mod.Frailty 6996 0.1021463 Moderata
2015 Campania 68490 sev.Frailty 3435 0.0501533 Grave
2015 Emilia-Romagna 43072 no.Frailty 26134 0.6067515 Assente
2015 Emilia-Romagna 43072 mild.Frailty 11589 0.2690611 Lieve
2015 Emilia-Romagna 43072 mod.Frailty 3864 0.0897103 Moderata
2015 Emilia-Romagna 43072 sev.Frailty 1485 0.0344772 Grave
2015 Friuli-Venezia Giulia 45691 no.Frailty 29945 0.6553807 Assente
2015 Friuli-Venezia Giulia 45691 mild.Frailty 11276 0.2467882 Lieve
2015 Friuli-Venezia Giulia 45691 mod.Frailty 3329 0.0728590 Moderata
2015 Friuli-Venezia Giulia 45691 sev.Frailty 1141 0.0249721 Grave
2015 Lazio 59067 no.Frailty 38290 0.6482469 Assente
2015 Lazio 59067 mild.Frailty 14393 0.2436724 Lieve
2015 Lazio 59067 mod.Frailty 4667 0.0790120 Moderata
2015 Lazio 59067 sev.Frailty 1717 0.0290687 Grave
2015 Liguria 28045 no.Frailty 18883 0.6733108 Assente
2015 Liguria 28045 mild.Frailty 6586 0.2348369 Lieve
2015 Liguria 28045 mod.Frailty 1938 0.0691032 Moderata
2015 Liguria 28045 sev.Frailty 638 0.0227492 Grave
2015 Lombardia 131502 no.Frailty 86613 0.6586440 Assente
2015 Lombardia 131502 mild.Frailty 31374 0.2385819 Lieve
2015 Lombardia 131502 mod.Frailty 9649 0.0733753 Moderata
2015 Lombardia 131502 sev.Frailty 3866 0.0293988 Grave
2015 Marche 17906 no.Frailty 11426 0.6381101 Assente
2015 Marche 17906 mild.Frailty 4750 0.2652742 Lieve
2015 Marche 17906 mod.Frailty 1335 0.0745560 Moderata
2015 Marche 17906 sev.Frailty 395 0.0220596 Grave
2015 Piemonte 60964 no.Frailty 39840 0.6535004 Assente
2015 Piemonte 60964 mild.Frailty 16426 0.2694377 Lieve
2015 Piemonte 60964 mod.Frailty 3792 0.0622006 Moderata
2015 Piemonte 60964 sev.Frailty 906 0.0148612 Grave
2015 Puglia 51874 no.Frailty 29271 0.5642711 Assente
2015 Puglia 51874 mild.Frailty 15782 0.3042372 Lieve
2015 Puglia 51874 mod.Frailty 4994 0.0962717 Moderata
2015 Puglia 51874 sev.Frailty 1827 0.0352200 Grave
2015 Sardegna 19053 no.Frailty 12231 0.6419462 Assente
2015 Sardegna 19053 mild.Frailty 5085 0.2668871 Lieve
2015 Sardegna 19053 mod.Frailty 1357 0.0712224 Moderata
2015 Sardegna 19053 sev.Frailty 380 0.0199444 Grave
2015 Sicilia 65544 no.Frailty 36147 0.5514921 Assente
2015 Sicilia 65544 mild.Frailty 19743 0.3012175 Lieve
2015 Sicilia 65544 mod.Frailty 6783 0.1034877 Moderata
2015 Sicilia 65544 sev.Frailty 2871 0.0438026 Grave
2015 Toscana 47929 no.Frailty 31812 0.6637318 Assente
2015 Toscana 47929 mild.Frailty 11321 0.2362036 Lieve
2015 Toscana 47929 mod.Frailty 3574 0.0745686 Moderata
2015 Toscana 47929 sev.Frailty 1222 0.0254960 Grave
2015 Trentino-Alto Adige 6666 no.Frailty 4778 0.7167717 Assente
2015 Trentino-Alto Adige 6666 mild.Frailty 1448 0.2172217 Lieve
2015 Trentino-Alto Adige 6666 mod.Frailty 353 0.0529553 Moderata
2015 Trentino-Alto Adige 6666 sev.Frailty 87 0.0130513 Grave
2015 Umbria 25800 no.Frailty 16141 0.6256202 Assente
2015 Umbria 25800 mild.Frailty 6414 0.2486047 Lieve
2015 Umbria 25800 mod.Frailty 2303 0.0892636 Moderata
2015 Umbria 25800 sev.Frailty 942 0.0365116 Grave
2015 Valle d’Aosta 2423 no.Frailty 1880 0.7758976 Assente
2015 Valle d’Aosta 2423 mild.Frailty 403 0.1663227 Lieve
2015 Valle d’Aosta 2423 mod.Frailty 110 0.0453983 Moderata
2015 Valle d’Aosta 2423 sev.Frailty 30 0.0123813 Grave
2015 Veneto 53603 no.Frailty 35073 0.6543104 Assente
2015 Veneto 53603 mild.Frailty 13266 0.2474861 Lieve
2015 Veneto 53603 mod.Frailty 3869 0.0721788 Moderata
2015 Veneto 53603 sev.Frailty 1395 0.0260247 Grave
2016 Abruzzo 22074 no.Frailty 13628 0.6173779 Assente
2016 Abruzzo 22074 mild.Frailty 5691 0.2578146 Lieve
2016 Abruzzo 22074 mod.Frailty 1973 0.0893812 Moderata
2016 Abruzzo 22074 sev.Frailty 782 0.0354263 Grave
2016 Basilicata 9671 no.Frailty 5734 0.5929066 Assente
2016 Basilicata 9671 mild.Frailty 2751 0.2844587 Lieve
2016 Basilicata 9671 mod.Frailty 857 0.0886154 Moderata
2016 Basilicata 9671 sev.Frailty 329 0.0340192 Grave
2016 Calabria 20990 no.Frailty 12217 0.5820391 Assente
2016 Calabria 20990 mild.Frailty 6007 0.2861839 Lieve
2016 Calabria 20990 mod.Frailty 2002 0.0953788 Moderata
2016 Calabria 20990 sev.Frailty 764 0.0363983 Grave
2016 Campania 68300 no.Frailty 38906 0.5696340 Assente
2016 Campania 68300 mild.Frailty 18644 0.2729722 Lieve
2016 Campania 68300 mod.Frailty 7167 0.1049341 Moderata
2016 Campania 68300 sev.Frailty 3583 0.0524597 Grave
2016 Emilia-Romagna 41900 no.Frailty 25223 0.6019809 Assente
2016 Emilia-Romagna 41900 mild.Frailty 11276 0.2691169 Lieve
2016 Emilia-Romagna 41900 mod.Frailty 3868 0.0923150 Moderata
2016 Emilia-Romagna 41900 sev.Frailty 1533 0.0365871 Grave
2016 Friuli-Venezia Giulia 45253 no.Frailty 29285 0.6471394 Assente
2016 Friuli-Venezia Giulia 45253 mild.Frailty 11200 0.2474974 Lieve
2016 Friuli-Venezia Giulia 45253 mod.Frailty 3544 0.0783152 Moderata
2016 Friuli-Venezia Giulia 45253 sev.Frailty 1224 0.0270479 Grave
2016 Lazio 57082 no.Frailty 36895 0.6463509 Assente
2016 Lazio 57082 mild.Frailty 13940 0.2442101 Lieve
2016 Lazio 57082 mod.Frailty 4504 0.0789040 Moderata
2016 Lazio 57082 sev.Frailty 1743 0.0305350 Grave
2016 Liguria 26772 no.Frailty 17820 0.6656208 Assente
2016 Liguria 26772 mild.Frailty 6399 0.2390184 Lieve
2016 Liguria 26772 mod.Frailty 1891 0.0706335 Moderata
2016 Liguria 26772 sev.Frailty 662 0.0247273 Grave
2016 Lombardia 130299 no.Frailty 85040 0.6526527 Assente
2016 Lombardia 130299 mild.Frailty 31303 0.2402398 Lieve
2016 Lombardia 130299 mod.Frailty 9925 0.0761710 Moderata
2016 Lombardia 130299 sev.Frailty 4031 0.0309365 Grave
2016 Marche 17816 no.Frailty 11233 0.6305007 Assente
2016 Marche 17816 mild.Frailty 4792 0.2689717 Lieve
2016 Marche 17816 mod.Frailty 1409 0.0790862 Moderata
2016 Marche 17816 sev.Frailty 382 0.0214414 Grave
2016 Piemonte 60419 no.Frailty 38698 0.6404939 Assente
2016 Piemonte 60419 mild.Frailty 16863 0.2791009 Lieve
2016 Piemonte 60419 mod.Frailty 3911 0.0647313 Moderata
2016 Piemonte 60419 sev.Frailty 947 0.0156739 Grave
2016 Puglia 51426 no.Frailty 28406 0.5523665 Assente
2016 Puglia 51426 mild.Frailty 15872 0.3086377 Lieve
2016 Puglia 51426 mod.Frailty 5148 0.1001050 Moderata
2016 Puglia 51426 sev.Frailty 2000 0.0388908 Grave
2016 Sardegna 18845 no.Frailty 12054 0.6396392 Assente
2016 Sardegna 18845 mild.Frailty 5030 0.2669143 Lieve
2016 Sardegna 18845 mod.Frailty 1374 0.0729106 Moderata
2016 Sardegna 18845 sev.Frailty 387 0.0205360 Grave
2016 Sicilia 64595 no.Frailty 35000 0.5418376 Assente
2016 Sicilia 64595 mild.Frailty 19731 0.3054571 Lieve
2016 Sicilia 64595 mod.Frailty 6932 0.1073148 Moderata
2016 Sicilia 64595 sev.Frailty 2932 0.0453905 Grave
2016 Toscana 47779 no.Frailty 31562 0.6605831 Assente
2016 Toscana 47779 mild.Frailty 11313 0.2367777 Lieve
2016 Toscana 47779 mod.Frailty 3654 0.0764771 Moderata
2016 Toscana 47779 sev.Frailty 1250 0.0261621 Grave
2016 Trentino-Alto Adige 6131 no.Frailty 4281 0.6982548 Assente
2016 Trentino-Alto Adige 6131 mild.Frailty 1396 0.2276953 Lieve
2016 Trentino-Alto Adige 6131 mod.Frailty 369 0.0601859 Moderata
2016 Trentino-Alto Adige 6131 sev.Frailty 85 0.0138640 Grave
2016 Umbria 25818 no.Frailty 15650 0.6061662 Assente
2016 Umbria 25818 mild.Frailty 6672 0.2584244 Lieve
2016 Umbria 25818 mod.Frailty 2434 0.0942753 Moderata
2016 Umbria 25818 sev.Frailty 1062 0.0411341 Grave
2016 Valle d’Aosta 2382 no.Frailty 1844 0.7741394 Assente
2016 Valle d’Aosta 2382 mild.Frailty 388 0.1628883 Lieve
2016 Valle d’Aosta 2382 mod.Frailty 120 0.0503778 Moderata
2016 Valle d’Aosta 2382 sev.Frailty 30 0.0125945 Grave
2016 Veneto 49460 no.Frailty 33051 0.6682370 Assente
2016 Veneto 49460 mild.Frailty 11764 0.2378488 Lieve
2016 Veneto 49460 mod.Frailty 3402 0.0687829 Moderata
2016 Veneto 49460 sev.Frailty 1243 0.0251314 Grave
2017 Abruzzo 22092 no.Frailty 13485 0.6104020 Assente
2017 Abruzzo 22092 mild.Frailty 5738 0.2597320 Lieve
2017 Abruzzo 22092 mod.Frailty 2033 0.0920243 Moderata
2017 Abruzzo 22092 sev.Frailty 836 0.0378418 Grave
2017 Basilicata 9666 no.Frailty 5719 0.5916615 Assente
2017 Basilicata 9666 mild.Frailty 2704 0.2797434 Lieve
2017 Basilicata 9666 mod.Frailty 900 0.0931099 Moderata
2017 Basilicata 9666 sev.Frailty 343 0.0354852 Grave
2017 Calabria 20414 no.Frailty 11608 0.5686294 Assente
2017 Calabria 20414 mild.Frailty 5978 0.2928382 Lieve
2017 Calabria 20414 mod.Frailty 2035 0.0996865 Moderata
2017 Calabria 20414 sev.Frailty 793 0.0388459 Grave
2017 Campania 67612 no.Frailty 37989 0.5618677 Assente
2017 Campania 67612 mild.Frailty 18580 0.2748033 Lieve
2017 Campania 67612 mod.Frailty 7281 0.1076880 Moderata
2017 Campania 67612 sev.Frailty 3762 0.0556410 Grave
2017 Emilia-Romagna 39548 no.Frailty 24062 0.6084252 Assente
2017 Emilia-Romagna 39548 mild.Frailty 10510 0.2657530 Lieve
2017 Emilia-Romagna 39548 mod.Frailty 3563 0.0900931 Moderata
2017 Emilia-Romagna 39548 sev.Frailty 1413 0.0357287 Grave
2017 Friuli-Venezia Giulia 44879 no.Frailty 28690 0.6392745 Assente
2017 Friuli-Venezia Giulia 44879 mild.Frailty 11264 0.2509860 Lieve
2017 Friuli-Venezia Giulia 44879 mod.Frailty 3578 0.0797255 Moderata
2017 Friuli-Venezia Giulia 44879 sev.Frailty 1347 0.0300140 Grave
2017 Lazio 55324 no.Frailty 35259 0.6373183 Assente
2017 Lazio 55324 mild.Frailty 13703 0.2476864 Lieve
2017 Lazio 55324 mod.Frailty 4581 0.0828031 Moderata
2017 Lazio 55324 sev.Frailty 1781 0.0321922 Grave
2017 Liguria 25097 no.Frailty 16288 0.6490019 Assente
2017 Liguria 25097 mild.Frailty 6156 0.2452883 Lieve
2017 Liguria 25097 mod.Frailty 1923 0.0766227 Moderata
2017 Liguria 25097 sev.Frailty 730 0.0290871 Grave
2017 Lombardia 126449 no.Frailty 82096 0.6492420 Assente
2017 Lombardia 126449 mild.Frailty 30555 0.2416389 Lieve
2017 Lombardia 126449 mod.Frailty 9713 0.0768136 Moderata
2017 Lombardia 126449 sev.Frailty 4085 0.0323055 Grave
2017 Marche 17976 no.Frailty 11176 0.6217178 Assente
2017 Marche 17976 mild.Frailty 4869 0.2708611 Lieve
2017 Marche 17976 mod.Frailty 1492 0.0829996 Moderata
2017 Marche 17976 sev.Frailty 439 0.0244215 Grave
2017 Piemonte 59837 no.Frailty 37367 0.6244798 Assente
2017 Piemonte 59837 mild.Frailty 17424 0.2911911 Lieve
2017 Piemonte 59837 mod.Frailty 4040 0.0675168 Moderata
2017 Piemonte 59837 sev.Frailty 1006 0.0168123 Grave
2017 Puglia 50568 no.Frailty 27513 0.5440793 Assente
2017 Puglia 50568 mild.Frailty 15834 0.3131229 Lieve
2017 Puglia 50568 mod.Frailty 5122 0.1012894 Moderata
2017 Puglia 50568 sev.Frailty 2099 0.0415085 Grave
2017 Sardegna 18385 no.Frailty 11534 0.6273593 Assente
2017 Sardegna 18385 mild.Frailty 5065 0.2754963 Lieve
2017 Sardegna 18385 mod.Frailty 1368 0.0744085 Moderata
2017 Sardegna 18385 sev.Frailty 418 0.0227359 Grave
2017 Sicilia 63909 no.Frailty 34386 0.5380463 Assente
2017 Sicilia 63909 mild.Frailty 19488 0.3049336 Lieve
2017 Sicilia 63909 mod.Frailty 7013 0.1097342 Moderata
2017 Sicilia 63909 sev.Frailty 3022 0.0472860 Grave
2017 Toscana 47401 no.Frailty 30931 0.6525390 Assente
2017 Toscana 47401 mild.Frailty 11422 0.2409654 Lieve
2017 Toscana 47401 mod.Frailty 3706 0.0781840 Moderata
2017 Toscana 47401 sev.Frailty 1342 0.0283116 Grave
2017 Trentino-Alto Adige 5517 no.Frailty 3917 0.7099873 Assente
2017 Trentino-Alto Adige 5517 mild.Frailty 1216 0.2204096 Lieve
2017 Trentino-Alto Adige 5517 mod.Frailty 309 0.0560087 Moderata
2017 Trentino-Alto Adige 5517 sev.Frailty 75 0.0135943 Grave
2017 Umbria 25968 no.Frailty 15492 0.5965804 Assente
2017 Umbria 25968 mild.Frailty 6737 0.2594347 Lieve
2017 Umbria 25968 mod.Frailty 2539 0.0977742 Moderata
2017 Umbria 25968 sev.Frailty 1200 0.0462107 Grave
2017 Valle d’Aosta 2316 no.Frailty 1747 0.7543178 Assente
2017 Valle d’Aosta 2316 mild.Frailty 407 0.1757340 Lieve
2017 Valle d’Aosta 2316 mod.Frailty 133 0.0574266 Moderata
2017 Valle d’Aosta 2316 sev.Frailty 29 0.0125216 Grave
2017 Veneto 45894 no.Frailty 30402 0.6624395 Assente
2017 Veneto 45894 mild.Frailty 10980 0.2392470 Lieve
2017 Veneto 45894 mod.Frailty 3273 0.0713165 Moderata
2017 Veneto 45894 sev.Frailty 1239 0.0269970 Grave
2018 Abruzzo 21742 no.Frailty 13260 0.6098795 Assente
2018 Abruzzo 21742 mild.Frailty 5610 0.2580259 Lieve
2018 Abruzzo 21742 mod.Frailty 2037 0.0936896 Moderata
2018 Abruzzo 21742 sev.Frailty 835 0.0384049 Grave
2018 Basilicata 9547 no.Frailty 5507 0.5768304 Assente
2018 Basilicata 9547 mild.Frailty 2757 0.2887818 Lieve
2018 Basilicata 9547 mod.Frailty 937 0.0981460 Moderata
2018 Basilicata 9547 sev.Frailty 346 0.0362418 Grave
2018 Calabria 20273 no.Frailty 11342 0.5594633 Assente
2018 Calabria 20273 mild.Frailty 5947 0.2933458 Lieve
2018 Calabria 20273 mod.Frailty 2141 0.1056084 Moderata
2018 Calabria 20273 sev.Frailty 843 0.0415824 Grave
2018 Campania 67945 no.Frailty 38441 0.5657664 Assente
2018 Campania 67945 mild.Frailty 18450 0.2715432 Lieve
2018 Campania 67945 mod.Frailty 7252 0.1067334 Moderata
2018 Campania 67945 sev.Frailty 3802 0.0559570 Grave
2018 Emilia-Romagna 36933 no.Frailty 22627 0.6126499 Assente
2018 Emilia-Romagna 36933 mild.Frailty 9743 0.2638020 Lieve
2018 Emilia-Romagna 36933 mod.Frailty 3275 0.0886741 Moderata
2018 Emilia-Romagna 36933 sev.Frailty 1288 0.0348740 Grave
2018 Friuli-Venezia Giulia 44253 no.Frailty 28118 0.6353920 Assente
2018 Friuli-Venezia Giulia 44253 mild.Frailty 11137 0.2516666 Lieve
2018 Friuli-Venezia Giulia 44253 mod.Frailty 3600 0.0813504 Moderata
2018 Friuli-Venezia Giulia 44253 sev.Frailty 1398 0.0315911 Grave
2018 Lazio 54272 no.Frailty 34456 0.6348762 Assente
2018 Lazio 54272 mild.Frailty 13404 0.2469782 Lieve
2018 Lazio 54272 mod.Frailty 4527 0.0834132 Moderata
2018 Lazio 54272 sev.Frailty 1885 0.0347325 Grave
2018 Liguria 23901 no.Frailty 15323 0.6411029 Assente
2018 Liguria 23901 mild.Frailty 5964 0.2495293 Lieve
2018 Liguria 23901 mod.Frailty 1916 0.0801640 Moderata
2018 Liguria 23901 sev.Frailty 698 0.0292038 Grave
2018 Lombardia 122913 no.Frailty 78758 0.6407622 Assente
2018 Lombardia 122913 mild.Frailty 30385 0.2472074 Lieve
2018 Lombardia 122913 mod.Frailty 9626 0.0783156 Moderata
2018 Lombardia 122913 sev.Frailty 4144 0.0337149 Grave
2018 Marche 18200 no.Frailty 11275 0.6195055 Assente
2018 Marche 18200 mild.Frailty 4954 0.2721978 Lieve
2018 Marche 18200 mod.Frailty 1509 0.0829121 Moderata
2018 Marche 18200 sev.Frailty 462 0.0253846 Grave
2018 Piemonte 59402 no.Frailty 36678 0.6174540 Assente
2018 Piemonte 59402 mild.Frailty 17533 0.2951584 Lieve
2018 Piemonte 59402 mod.Frailty 4120 0.0693579 Moderata
2018 Piemonte 59402 sev.Frailty 1071 0.0180297 Grave
2018 Puglia 50217 no.Frailty 27194 0.5415298 Assente
2018 Puglia 50217 mild.Frailty 15730 0.3132405 Lieve
2018 Puglia 50217 mod.Frailty 5166 0.1028735 Moderata
2018 Puglia 50217 sev.Frailty 2127 0.0423562 Grave
2018 Sardegna 17802 no.Frailty 11149 0.6262779 Assente
2018 Sardegna 17802 mild.Frailty 4906 0.2755870 Lieve
2018 Sardegna 17802 mod.Frailty 1335 0.0749916 Moderata
2018 Sardegna 17802 sev.Frailty 412 0.0231435 Grave
2018 Sicilia 63773 no.Frailty 34205 0.5363555 Assente
2018 Sicilia 63773 mild.Frailty 19456 0.3050821 Lieve
2018 Sicilia 63773 mod.Frailty 7048 0.1105170 Moderata
2018 Sicilia 63773 sev.Frailty 3064 0.0480454 Grave
2018 Toscana 47059 no.Frailty 30691 0.6521813 Assente
2018 Toscana 47059 mild.Frailty 11295 0.2400178 Lieve
2018 Toscana 47059 mod.Frailty 3678 0.0781572 Moderata
2018 Toscana 47059 sev.Frailty 1395 0.0296436 Grave
2018 Trentino-Alto Adige 5253 no.Frailty 3694 0.7032172 Assente
2018 Trentino-Alto Adige 5253 mild.Frailty 1184 0.2253950 Lieve
2018 Trentino-Alto Adige 5253 mod.Frailty 295 0.0561584 Moderata
2018 Trentino-Alto Adige 5253 sev.Frailty 80 0.0152294 Grave
2018 Umbria 26047 no.Frailty 15493 0.5948094 Assente
2018 Umbria 26047 mild.Frailty 6707 0.2574961 Lieve
2018 Umbria 26047 mod.Frailty 2564 0.0984374 Moderata
2018 Umbria 26047 sev.Frailty 1283 0.0492571 Grave
2018 Valle d’Aosta 2039 no.Frailty 1546 0.7582148 Assente
2018 Valle d’Aosta 2039 mild.Frailty 330 0.1618440 Lieve
2018 Valle d’Aosta 2039 mod.Frailty 122 0.0598333 Moderata
2018 Valle d’Aosta 2039 sev.Frailty 41 0.0201079 Grave
2018 Veneto 42441 no.Frailty 27689 0.6524116 Assente
2018 Veneto 42441 mild.Frailty 10353 0.2439386 Lieve
2018 Veneto 42441 mod.Frailty 3131 0.0737730 Moderata
2018 Veneto 42441 sev.Frailty 1268 0.0298768 Grave
2019 Abruzzo 21482 no.Frailty 12904 0.6006889 Assente
2019 Abruzzo 21482 mild.Frailty 5681 0.2644540 Lieve
2019 Abruzzo 21482 mod.Frailty 2016 0.0938460 Moderata
2019 Abruzzo 21482 sev.Frailty 881 0.0410111 Grave
2019 Basilicata 9432 no.Frailty 5413 0.5738974 Assente
2019 Basilicata 9432 mild.Frailty 2728 0.2892282 Lieve
2019 Basilicata 9432 mod.Frailty 946 0.1002969 Moderata
2019 Basilicata 9432 sev.Frailty 345 0.0365776 Grave
2019 Calabria 20159 no.Frailty 11086 0.5499281 Assente
2019 Calabria 20159 mild.Frailty 5982 0.2967409 Lieve
2019 Calabria 20159 mod.Frailty 2180 0.1081403 Moderata
2019 Calabria 20159 sev.Frailty 911 0.0451907 Grave
2019 Campania 67556 no.Frailty 37679 0.5577447 Assente
2019 Campania 67556 mild.Frailty 18706 0.2768962 Lieve
2019 Campania 67556 mod.Frailty 7290 0.1079105 Moderata
2019 Campania 67556 sev.Frailty 3881 0.0574486 Grave
2019 Emilia-Romagna 35062 no.Frailty 21152 0.6032742 Assente
2019 Emilia-Romagna 35062 mild.Frailty 9423 0.2687525 Lieve
2019 Emilia-Romagna 35062 mod.Frailty 3205 0.0914095 Moderata
2019 Emilia-Romagna 35062 sev.Frailty 1282 0.0365638 Grave
2019 Friuli-Venezia Giulia 41912 no.Frailty 26672 0.6363810 Assente
2019 Friuli-Venezia Giulia 41912 mild.Frailty 10519 0.2509782 Lieve
2019 Friuli-Venezia Giulia 41912 mod.Frailty 3402 0.0811701 Moderata
2019 Friuli-Venezia Giulia 41912 sev.Frailty 1319 0.0314707 Grave
2019 Lazio 52912 no.Frailty 33356 0.6304052 Assente
2019 Lazio 52912 mild.Frailty 13178 0.2490550 Lieve
2019 Lazio 52912 mod.Frailty 4485 0.0847634 Moderata
2019 Lazio 52912 sev.Frailty 1893 0.0357764 Grave
2019 Liguria 23198 no.Frailty 14703 0.6338046 Assente
2019 Liguria 23198 mild.Frailty 5851 0.2522200 Lieve
2019 Liguria 23198 mod.Frailty 1944 0.0838003 Moderata
2019 Liguria 23198 sev.Frailty 700 0.0301750 Grave
2019 Lombardia 119057 no.Frailty 76104 0.6392232 Assente
2019 Lombardia 119057 mild.Frailty 29369 0.2466802 Lieve
2019 Lombardia 119057 mod.Frailty 9519 0.0799533 Moderata
2019 Lombardia 119057 sev.Frailty 4065 0.0341433 Grave
2019 Marche 18219 no.Frailty 11285 0.6194083 Assente
2019 Marche 18219 mild.Frailty 4931 0.2706515 Lieve
2019 Marche 18219 mod.Frailty 1552 0.0851858 Moderata
2019 Marche 18219 sev.Frailty 451 0.0247544 Grave
2019 Piemonte 58387 no.Frailty 35504 0.6080806 Assente
2019 Piemonte 58387 mild.Frailty 17597 0.3013856 Lieve
2019 Piemonte 58387 mod.Frailty 4181 0.0716084 Moderata
2019 Piemonte 58387 sev.Frailty 1105 0.0189254 Grave
2019 Puglia 49254 no.Frailty 26608 0.5402201 Assente
2019 Puglia 49254 mild.Frailty 15511 0.3149186 Lieve
2019 Puglia 49254 mod.Frailty 5044 0.1024079 Moderata
2019 Puglia 49254 sev.Frailty 2091 0.0424534 Grave
2019 Sardegna 17269 no.Frailty 10655 0.6170016 Assente
2019 Sardegna 17269 mild.Frailty 4826 0.2794603 Lieve
2019 Sardegna 17269 mod.Frailty 1349 0.0781169 Moderata
2019 Sardegna 17269 sev.Frailty 439 0.0254213 Grave
2019 Sicilia 62806 no.Frailty 33569 0.5344872 Assente
2019 Sicilia 62806 mild.Frailty 19397 0.3088399 Lieve
2019 Sicilia 62806 mod.Frailty 6834 0.1088113 Moderata
2019 Sicilia 62806 sev.Frailty 3006 0.0478617 Grave
2019 Toscana 46865 no.Frailty 30382 0.6482876 Assente
2019 Toscana 46865 mild.Frailty 11324 0.2416302 Lieve
2019 Toscana 46865 mod.Frailty 3720 0.0793769 Moderata
2019 Toscana 46865 sev.Frailty 1439 0.0307052 Grave
2019 Trentino-Alto Adige 4646 no.Frailty 3313 0.7130865 Assente
2019 Trentino-Alto Adige 4646 mild.Frailty 1000 0.2152389 Lieve
2019 Trentino-Alto Adige 4646 mod.Frailty 279 0.0600517 Moderata
2019 Trentino-Alto Adige 4646 sev.Frailty 54 0.0116229 Grave
2019 Umbria 26371 no.Frailty 15462 0.5863259 Assente
2019 Umbria 26371 mild.Frailty 6896 0.2614994 Lieve
2019 Umbria 26371 mod.Frailty 2651 0.1005271 Moderata
2019 Umbria 26371 sev.Frailty 1362 0.0516476 Grave
2019 Valle d’Aosta 1890 no.Frailty 1362 0.7206349 Assente
2019 Valle d’Aosta 1890 mild.Frailty 344 0.1820106 Lieve
2019 Valle d’Aosta 1890 mod.Frailty 132 0.0698413 Moderata
2019 Valle d’Aosta 1890 sev.Frailty 52 0.0275132 Grave
2019 Veneto 38826 no.Frailty 25360 0.6531706 Assente
2019 Veneto 38826 mild.Frailty 9369 0.2413074 Lieve
2019 Veneto 38826 mod.Frailty 2927 0.0753876 Moderata
2019 Veneto 38826 sev.Frailty 1170 0.0301344 Grave
2020 Abruzzo 21292 no.Frailty 12532 0.5885779 Assente
2020 Abruzzo 21292 mild.Frailty 5780 0.2714635 Lieve
2020 Abruzzo 21292 mod.Frailty 2049 0.0962333 Moderata
2020 Abruzzo 21292 sev.Frailty 931 0.0437253 Grave
2020 Basilicata 8787 no.Frailty 5092 0.5794924 Assente
2020 Basilicata 8787 mild.Frailty 2523 0.2871287 Lieve
2020 Basilicata 8787 mod.Frailty 838 0.0953682 Moderata
2020 Basilicata 8787 sev.Frailty 334 0.0380107 Grave
2020 Calabria 19955 no.Frailty 10780 0.5402155 Assente
2020 Calabria 19955 mild.Frailty 6018 0.3015786 Lieve
2020 Calabria 19955 mod.Frailty 2195 0.1099975 Moderata
2020 Calabria 19955 sev.Frailty 962 0.0482085 Grave
2020 Campania 67313 no.Frailty 37046 0.5503543 Assente
2020 Campania 67313 mild.Frailty 18928 0.2811938 Lieve
2020 Campania 67313 mod.Frailty 7393 0.1098302 Moderata
2020 Campania 67313 sev.Frailty 3946 0.0586217 Grave
2020 Emilia-Romagna 32222 no.Frailty 19777 0.6137732 Assente
2020 Emilia-Romagna 32222 mild.Frailty 8414 0.2611259 Lieve
2020 Emilia-Romagna 32222 mod.Frailty 2888 0.0896282 Moderata
2020 Emilia-Romagna 32222 sev.Frailty 1143 0.0354727 Grave
2020 Friuli-Venezia Giulia 39625 no.Frailty 24901 0.6284164 Assente
2020 Friuli-Venezia Giulia 39625 mild.Frailty 10048 0.2535773 Lieve
2020 Friuli-Venezia Giulia 39625 mod.Frailty 3334 0.0841388 Moderata
2020 Friuli-Venezia Giulia 39625 sev.Frailty 1342 0.0338675 Grave
2020 Lazio 51714 no.Frailty 32512 0.6286886 Assente
2020 Lazio 51714 mild.Frailty 12971 0.2508218 Lieve
2020 Lazio 51714 mod.Frailty 4368 0.0844646 Moderata
2020 Lazio 51714 sev.Frailty 1863 0.0360251 Grave
2020 Liguria 21693 no.Frailty 13704 0.6317245 Assente
2020 Liguria 21693 mild.Frailty 5520 0.2544600 Lieve
2020 Liguria 21693 mod.Frailty 1796 0.0827917 Moderata
2020 Liguria 21693 sev.Frailty 673 0.0310238 Grave
2020 Lombardia 114397 no.Frailty 72393 0.6328225 Assente
2020 Lombardia 114397 mild.Frailty 28757 0.2513790 Lieve
2020 Lombardia 114397 mod.Frailty 9264 0.0809811 Moderata
2020 Lombardia 114397 sev.Frailty 3983 0.0348173 Grave
2020 Marche 18041 no.Frailty 10874 0.6027382 Assente
2020 Marche 18041 mild.Frailty 5066 0.2808048 Lieve
2020 Marche 18041 mod.Frailty 1587 0.0879663 Moderata
2020 Marche 18041 sev.Frailty 514 0.0284907 Grave
2020 Piemonte 56754 no.Frailty 33724 0.5942136 Assente
2020 Piemonte 56754 mild.Frailty 17591 0.3099517 Lieve
2020 Piemonte 56754 mod.Frailty 4273 0.0752898 Moderata
2020 Piemonte 56754 sev.Frailty 1166 0.0205448 Grave
2020 Puglia 48450 no.Frailty 25840 0.5333333 Assente
2020 Puglia 48450 mild.Frailty 15484 0.3195872 Lieve
2020 Puglia 48450 mod.Frailty 4954 0.1022497 Moderata
2020 Puglia 48450 sev.Frailty 2172 0.0448297 Grave
2020 Sardegna 16616 no.Frailty 10080 0.6066442 Assente
2020 Sardegna 16616 mild.Frailty 4675 0.2813553 Lieve
2020 Sardegna 16616 mod.Frailty 1428 0.0859413 Moderata
2020 Sardegna 16616 sev.Frailty 433 0.0260592 Grave
2020 Sicilia 59582 no.Frailty 31409 0.5271559 Assente
2020 Sicilia 59582 mild.Frailty 18977 0.3185022 Lieve
2020 Sicilia 59582 mod.Frailty 6396 0.1073479 Moderata
2020 Sicilia 59582 sev.Frailty 2800 0.0469941 Grave
2020 Toscana 45206 no.Frailty 28808 0.6372605 Assente
2020 Toscana 45206 mild.Frailty 11191 0.2475556 Lieve
2020 Toscana 45206 mod.Frailty 3699 0.0818254 Moderata
2020 Toscana 45206 sev.Frailty 1508 0.0333584 Grave
2020 Trentino-Alto Adige 4210 no.Frailty 2948 0.7002375 Assente
2020 Trentino-Alto Adige 4210 mild.Frailty 919 0.2182898 Lieve
2020 Trentino-Alto Adige 4210 mod.Frailty 266 0.0631829 Moderata
2020 Trentino-Alto Adige 4210 sev.Frailty 77 0.0182898 Grave
2020 Umbria 25933 no.Frailty 15178 0.5852774 Assente
2020 Umbria 25933 mild.Frailty 6827 0.2632553 Lieve
2020 Umbria 25933 mod.Frailty 2590 0.0998727 Moderata
2020 Umbria 25933 sev.Frailty 1338 0.0515945 Grave
2020 Valle d’Aosta 1816 no.Frailty 1245 0.6855727 Assente
2020 Valle d’Aosta 1816 mild.Frailty 366 0.2015419 Lieve
2020 Valle d’Aosta 1816 mod.Frailty 143 0.0787445 Moderata
2020 Valle d’Aosta 1816 sev.Frailty 62 0.0341410 Grave
2020 Veneto 36044 no.Frailty 23070 0.6400510 Assente
2020 Veneto 36044 mild.Frailty 8943 0.2481134 Lieve
2020 Veneto 36044 mod.Frailty 2846 0.0789591 Moderata
2020 Veneto 36044 sev.Frailty 1185 0.0328765 Grave
2021 Abruzzo 19542 no.Frailty 11502 0.5885784 Assente
2021 Abruzzo 19542 mild.Frailty 5407 0.2766861 Lieve
2021 Abruzzo 19542 mod.Frailty 1827 0.0934909 Moderata
2021 Abruzzo 19542 sev.Frailty 806 0.0412445 Grave
2021 Basilicata 7796 no.Frailty 4402 0.5646485 Assente
2021 Basilicata 7796 mild.Frailty 2302 0.2952796 Lieve
2021 Basilicata 7796 mod.Frailty 773 0.0991534 Moderata
2021 Basilicata 7796 sev.Frailty 319 0.0409184 Grave
2021 Calabria 18563 no.Frailty 9949 0.5359586 Assente
2021 Calabria 18563 mild.Frailty 5714 0.3078166 Lieve
2021 Calabria 18563 mod.Frailty 2010 0.1082799 Moderata
2021 Calabria 18563 sev.Frailty 890 0.0479448 Grave
2021 Campania 62801 no.Frailty 33981 0.5410901 Assente
2021 Campania 62801 mild.Frailty 18372 0.2925431 Lieve
2021 Campania 62801 mod.Frailty 6788 0.1080875 Moderata
2021 Campania 62801 sev.Frailty 3660 0.0582793 Grave
2021 Emilia-Romagna 28552 no.Frailty 17746 0.6215326 Assente
2021 Emilia-Romagna 28552 mild.Frailty 7380 0.2584758 Lieve
2021 Emilia-Romagna 28552 mod.Frailty 2473 0.0866139 Moderata
2021 Emilia-Romagna 28552 sev.Frailty 953 0.0333777 Grave
2021 Friuli-Venezia Giulia 36068 no.Frailty 22451 0.6224631 Assente
2021 Friuli-Venezia Giulia 36068 mild.Frailty 9440 0.2617278 Lieve
2021 Friuli-Venezia Giulia 36068 mod.Frailty 3014 0.0835644 Moderata
2021 Friuli-Venezia Giulia 36068 sev.Frailty 1163 0.0322446 Grave
2021 Lazio 47982 no.Frailty 29548 0.6158143 Assente
2021 Lazio 47982 mild.Frailty 12610 0.2628069 Lieve
2021 Lazio 47982 mod.Frailty 4105 0.0855529 Moderata
2021 Lazio 47982 sev.Frailty 1719 0.0358259 Grave
2021 Liguria 19604 no.Frailty 12336 0.6292593 Assente
2021 Liguria 19604 mild.Frailty 5038 0.2569884 Lieve
2021 Liguria 19604 mod.Frailty 1624 0.0828402 Moderata
2021 Liguria 19604 sev.Frailty 606 0.0309121 Grave
2021 Lombardia 103363 no.Frailty 65651 0.6351499 Assente
2021 Lombardia 103363 mild.Frailty 26279 0.2542399 Lieve
2021 Lombardia 103363 mod.Frailty 8119 0.0785484 Moderata
2021 Lombardia 103363 sev.Frailty 3314 0.0320618 Grave
2021 Marche 17395 no.Frailty 10385 0.5970106 Assente
2021 Marche 17395 mild.Frailty 4893 0.2812877 Lieve
2021 Marche 17395 mod.Frailty 1593 0.0915780 Moderata
2021 Marche 17395 sev.Frailty 524 0.0301236 Grave
2021 Piemonte 53068 no.Frailty 31178 0.5875104 Assente
2021 Piemonte 53068 mild.Frailty 16781 0.3162169 Lieve
2021 Piemonte 53068 mod.Frailty 4025 0.0758461 Moderata
2021 Piemonte 53068 sev.Frailty 1084 0.0204266 Grave
2021 Puglia 45528 no.Frailty 24174 0.5309700 Assente
2021 Puglia 45528 mild.Frailty 14792 0.3248990 Lieve
2021 Puglia 45528 mod.Frailty 4586 0.1007292 Moderata
2021 Puglia 45528 sev.Frailty 1976 0.0434019 Grave
2021 Sardegna 15199 no.Frailty 9295 0.6115534 Assente
2021 Sardegna 15199 mild.Frailty 4288 0.2821238 Lieve
2021 Sardegna 15199 mod.Frailty 1235 0.0812553 Moderata
2021 Sardegna 15199 sev.Frailty 381 0.0250674 Grave
2021 Sicilia 54753 no.Frailty 28424 0.5191314 Assente
2021 Sicilia 54753 mild.Frailty 17881 0.3265757 Lieve
2021 Sicilia 54753 mod.Frailty 5926 0.1082315 Moderata
2021 Sicilia 54753 sev.Frailty 2522 0.0460614 Grave
2021 Toscana 40852 no.Frailty 26121 0.6394057 Assente
2021 Toscana 40852 mild.Frailty 10185 0.2493146 Lieve
2021 Toscana 40852 mod.Frailty 3276 0.0801919 Moderata
2021 Toscana 40852 sev.Frailty 1270 0.0310878 Grave
2021 Trentino-Alto Adige 3820 no.Frailty 2613 0.6840314 Assente
2021 Trentino-Alto Adige 3820 mild.Frailty 896 0.2345550 Lieve
2021 Trentino-Alto Adige 3820 mod.Frailty 248 0.0649215 Moderata
2021 Trentino-Alto Adige 3820 sev.Frailty 63 0.0164921 Grave
2021 Umbria 24409 no.Frailty 14481 0.5932648 Assente
2021 Umbria 24409 mild.Frailty 6335 0.2595354 Lieve
2021 Umbria 24409 mod.Frailty 2372 0.0971773 Moderata
2021 Umbria 24409 sev.Frailty 1221 0.0500225 Grave
2021 Valle d’Aosta 1735 no.Frailty 1109 0.6391931 Assente
2021 Valle d’Aosta 1735 mild.Frailty 408 0.2351585 Lieve
2021 Valle d’Aosta 1735 mod.Frailty 137 0.0789625 Moderata
2021 Valle d’Aosta 1735 sev.Frailty 81 0.0466859 Grave
2021 Veneto 31775 no.Frailty 20630 0.6492526 Assente
2021 Veneto 31775 mild.Frailty 7814 0.2459166 Lieve
2021 Veneto 31775 mod.Frailty 2390 0.0752164 Moderata
2021 Veneto 31775 sev.Frailty 941 0.0296145 Grave 
data %>% 
  ggplot(aes(x = as.numeric(as.character(anno)), y = prop, col = regione)) +
  geom_point()+geom_line()+
  facet_wrap(~FI.gr)

#Trend per età e anno
results$mortality$frailty.classes$eta %>% select(c(anno, age.groups, FI.gr, N)) -> data
data$tot.anno.eta <- NA
for (i in levels(data$anno))
{
  for (j in levels(data$age.groups))
  {
    data$tot.anno.eta[data$anno == i & data$age.groups == j] <- 
      sum(data$N[data$anno == i & data$age.groups == j])
  }
}
data$prop <- data$N/data$tot.anno.eta
data$diff.prop <- NA
for (i in 1:nrow(data))
{
  anno.prec <- data$anno[i] %>% as.character() %>% as.numeric()
  anno.prec <- (anno.prec -1) %>% as.character()
  data$diff.prop[i] <- ifelse(data$anno[i] == "2011", NA,
(                          data$prop[i] - data$prop[data$anno == anno.prec &
                                                   data$age.groups == data$age.groups[i] & data$FI.gr == data$FI.gr[i]]) /data$prop[data$anno == anno.prec &
                                                   data$age.groups == data$age.groups[i] & data$FI.gr == data$FI.gr[i]])
}

data$diff.prop.19 <- NA
for (i in 1:nrow(data))
{
  reference <- data$prop[data$anno == "2019" &
                                                   data$age.groups == data$age.groups[i] &
                                                   data$FI.gr == data$FI.gr[i]]
  data$diff.prop.19[i] <- (data$prop[i] - reference) /reference
}

data %>% kable()
anno age.groups FI.gr N tot.anno.eta prop diff.prop diff.prop.19
2011 50-59 Assente 240453 266957 0.9007181 NA 0.0759684
2011 50-59 Lieve 24530 266957 0.0918875 NA -0.3781126
2011 50-59 Moderata 1808 266957 0.0067726 NA -0.4981745
2011 50-59 Grave 166 266957 0.0006218 NA -0.6173596
2011 60-69 Assente 182999 228219 0.8018570 NA 0.1456380
2011 60-69 Lieve 38582 228219 0.1690569 NA -0.3135772
2011 60-69 Moderata 5715 228219 0.0250417 NA -0.4410718
2011 60-69 Grave 923 228219 0.0040444 NA -0.5500384
2011 70-79 Assente 112270 179442 0.6256618 NA 0.5169629
2011 70-79 Lieve 50640 179442 0.2822082 NA -0.3001339
2011 70-79 Moderata 13187 179442 0.0734889 NA -0.4701326
2011 70-79 Grave 3345 179442 0.0186411 NA -0.5914866
2011 80-89 Assente 47164 103279 0.4566659 NA 0.9150164
2011 80-89 Lieve 35836 103279 0.3469824 NA -0.1173880
2011 80-89 Moderata 15165 103279 0.1468353 NA -0.3891865
2011 80-89 Grave 5114 103279 0.0495164 NA -0.6131833
2011 90-99 Assente 7882 20413 0.3861265 NA 1.1659474
2011 90-99 Lieve 7544 20413 0.3695684 NA 0.0945591
2011 90-99 Moderata 3650 20413 0.1788076 NA -0.3729070
2011 90-99 Grave 1337 20413 0.0654975 NA -0.6707841
2011 100+ Assente 700 1212 0.5775578 NA 0.4585565
2011 100+ Lieve 338 1212 0.2788779 NA -0.1063409
2011 100+ Moderata 137 1212 0.1130363 NA -0.4122112
2011 100+ Grave 37 1212 0.0305281 NA -0.6936483
2012 50-59 Assente 238521 267635 0.8912175 -0.0105478 0.0646194
2012 50-59 Lieve 26844 267635 0.1003008 0.0915612 -0.3211719
2012 50-59 Moderata 2063 267635 0.0077083 0.1381492 -0.4288477
2012 50-59 Grave 207 267635 0.0007734 0.2438290 -0.5240608
2012 60-69 Assente 170867 225250 0.7585660 -0.0539884 0.0837869
2012 60-69 Lieve 45963 225250 0.2040533 0.2070093 -0.1714813
2012 60-69 Moderata 7174 225250 0.0318491 0.2718390 -0.2891333
2012 60-69 Grave 1246 225250 0.0055316 0.3677393 -0.3845698
2012 70-79 Assente 89732 176905 0.5072327 -0.1892861 0.2298229
2012 70-79 Lieve 63986 176905 0.3616970 0.2816672 -0.1030046
2012 70-79 Moderata 18247 176905 0.1031458 0.4035551 -0.2563019
2012 70-79 Grave 4940 176905 0.0279246 0.4980104 -0.3880426
2012 80-89 Assente 36335 103241 0.3519435 -0.2293195 0.4758657
2012 80-89 Lieve 39889 103241 0.3863678 0.1135083 -0.0172042
2012 80-89 Moderata 19382 103241 0.1877355 0.2785449 -0.2190475
2012 80-89 Grave 7635 103241 0.0739532 0.4935100 -0.4222854
2012 90-99 Assente 6751 21588 0.3127200 -0.1901099 0.7541794
2012 90-99 Lieve 8183 21588 0.3790532 0.0256644 0.1226503
2012 90-99 Moderata 4672 21588 0.2164165 0.2103317 -0.2410095
2012 90-99 Grave 1982 21588 0.0918103 0.4017374 -0.5385257
2012 100+ Assente 718 1374 0.5225619 -0.0952215 0.3196706
2012 100+ Lieve 410 1374 0.2983988 0.0699982 -0.0437864
2012 100+ Moderata 178 1374 0.1295488 0.1460810 -0.3263464
2012 100+ Grave 68 1374 0.0494905 0.6211495 -0.5033581
2013 50-59 Assente 235984 267438 0.8823877 -0.0099076 0.0540715
2013 50-59 Lieve 28870 267438 0.1079503 0.0762653 -0.2694008
2013 50-59 Moderata 2335 267438 0.0087310 0.1326806 -0.3530669
2013 50-59 Grave 249 267438 0.0009311 0.2037846 -0.4270717
2013 60-69 Assente 164844 222611 0.7405025 -0.0238128 0.0579789
2013 60-69 Lieve 48439 222611 0.2175948 0.0663628 -0.1164985
2013 60-69 Moderata 7887 222611 0.0354295 0.1124196 -0.2092179
2013 60-69 Grave 1441 222611 0.0064732 0.1702108 -0.2798169
2013 70-79 Assente 81303 174941 0.4647453 -0.0837632 0.1268090
2013 70-79 Lieve 67667 174941 0.3867990 0.0694007 -0.0407525
2013 70-79 Moderata 20258 174941 0.1157990 0.1226738 -0.1650696
2013 70-79 Grave 5713 174941 0.0326567 0.1694611 -0.2843397
2013 80-89 Assente 31882 103245 0.3087995 -0.1225880 0.2949423
2013 80-89 Lieve 40948 103245 0.3966100 0.0265089 0.0088486
2013 80-89 Moderata 21310 103245 0.2064022 0.0994311 -0.1413965
2013 80-89 Grave 9105 103245 0.0881883 0.1924882 -0.3110822
2013 90-99 Assente 6214 22704 0.2736963 -0.1247882 0.5352786
2013 90-99 Lieve 8592 22704 0.3784355 -0.0016295 0.1208210
2013 90-99 Moderata 5367 22704 0.2363901 0.0922921 -0.1709606
2013 90-99 Grave 2531 22704 0.1114782 0.2142232 -0.4396673
2013 100+ Assente 725 1499 0.4836558 -0.0744526 0.2214177
2013 100+ Lieve 479 1499 0.3195464 0.0708700 0.0239805
2013 100+ Moderata 210 1499 0.1400934 0.0813951 -0.2715143
2013 100+ Grave 85 1499 0.0567045 0.1457638 -0.4309657
2014 50-59 Assente 233289 266835 0.8742819 -0.0091863 0.0443886
2014 50-59 Lieve 30779 266835 0.1153484 0.0685333 -0.2193305
2014 50-59 Moderata 2489 266835 0.0093279 0.0683618 -0.3088414
2014 50-59 Grave 278 266835 0.0010418 0.1189889 -0.3588996
2014 60-69 Assente 160817 221733 0.7252732 -0.0205662 0.0362204
2014 60-69 Lieve 50598 221733 0.2281934 0.0487077 -0.0734651
2014 60-69 Moderata 8711 221733 0.0392860 0.1088491 -0.1231419
2014 60-69 Grave 1607 221733 0.0072475 0.1196136 -0.1936732
2014 70-79 Assente 75707 171760 0.4407720 -0.0515836 0.0686841
2014 70-79 Lieve 68241 171760 0.3973044 0.0271598 -0.0146995
2014 70-79 Moderata 21478 171760 0.1250466 0.0798585 -0.0983933
2014 70-79 Grave 6334 171760 0.0368770 0.1292326 -0.1918530
2014 80-89 Assente 29148 103222 0.2823817 -0.0855500 0.1841600
2014 80-89 Lieve 41141 103222 0.3985681 0.0049372 0.0138295
2014 80-89 Moderata 22307 103222 0.2161070 0.0470188 -0.1010260
2014 80-89 Grave 10626 103222 0.1029432 0.1673111 -0.1958186
2014 90-99 Assente 5690 23658 0.2405106 -0.1212499 0.3491261
2014 90-99 Lieve 8842 23658 0.3737425 -0.0124011 0.1069216
2014 90-99 Moderata 5957 23658 0.2517964 0.0651735 -0.1169292
2014 90-99 Grave 3169 23658 0.1339505 0.2015849 -0.3267127
2014 100+ Assente 726 1576 0.4606599 -0.0475459 0.1633442
2014 100+ Lieve 488 1576 0.3096447 -0.0309867 -0.0077493
2014 100+ Moderata 245 1576 0.1554569 0.1096658 -0.1916244
2014 100+ Grave 117 1576 0.0742386 0.3092192 -0.2550094
2015 50-59 Assente 228670 265148 0.8624240 -0.0135630 0.0302236
2015 50-59 Lieve 33249 265148 0.1253979 0.0871226 -0.1513166
2015 50-59 Moderata 2907 265148 0.0109637 0.1753699 -0.1876329
2015 50-59 Grave 322 265148 0.0012144 0.1656429 -0.2527058
2015 60-69 Assente 157234 220547 0.7129274 -0.0170223 0.0185815
2015 60-69 Lieve 52249 220547 0.2369064 0.0381828 -0.0380874
2015 60-69 Moderata 9238 220547 0.0418868 0.0662011 -0.0650930
2015 60-69 Grave 1826 220547 0.0082794 0.1423892 -0.0788610
2015 70-79 Assente 71150 166906 0.4262879 -0.0328609 0.0335662
2015 70-79 Lieve 67124 166906 0.4021665 0.0122377 -0.0026416
2015 70-79 Moderata 21779 166906 0.1304866 0.0435041 -0.0591697
2015 70-79 Grave 6853 166906 0.0410590 0.1134039 -0.1002060
2015 80-89 Assente 27300 102407 0.2665833 -0.0559467 0.1179101
2015 80-89 Lieve 40786 102407 0.3982736 -0.0007391 0.0130802
2015 80-89 Moderata 23004 102407 0.2246331 0.0394529 -0.0655589
2015 80-89 Grave 11317 102407 0.1105100 0.0735051 -0.1367071
2015 90-99 Assente 5388 24476 0.2201340 -0.0847223 0.2348251
2015 90-99 Lieve 8987 24476 0.3671760 -0.0175696 0.0874734
2015 90-99 Moderata 6424 24476 0.2624612 0.0423547 -0.0795271
2015 90-99 Grave 3677 24476 0.1502288 0.1215250 -0.2448914
2015 100+ Assente 695 1593 0.4362837 -0.0529157 0.1017850
2015 100+ Lieve 485 1593 0.3044570 -0.0167536 -0.0243731
2015 100+ Moderata 281 1593 0.1763967 0.1346990 -0.0827370
2015 100+ Grave 132 1593 0.0828625 0.1161653 -0.1684673
2016 50-59 Assente 223848 261773 0.8551226 -0.0084662 0.0215015
2016 50-59 Lieve 34558 261773 0.1320151 0.0527700 -0.1065315
2016 50-59 Moderata 3006 261773 0.0114832 0.0473877 -0.1491368
2016 50-59 Grave 361 261773 0.0013791 0.1355724 -0.1513934
2016 60-69 Assente 151581 213945 0.7085045 -0.0062038 0.0122624
2016 60-69 Lieve 51267 213945 0.2396270 0.0114838 -0.0270410
2016 60-69 Moderata 9258 213945 0.0432728 0.0330902 -0.0341567
2016 60-69 Grave 1839 213945 0.0085957 0.0381975 -0.0436758
2016 70-79 Assente 69677 165068 0.4221109 -0.0097985 0.0234388
2016 70-79 Lieve 66317 165068 0.4017556 -0.0010216 -0.0036605
2016 70-79 Moderata 22082 165068 0.1337752 0.0252022 -0.0354587
2016 70-79 Grave 6992 165068 0.0423583 0.0316437 -0.0717331
2016 80-89 Assente 25684 99960 0.2569428 -0.0361634 0.0774827
2016 80-89 Lieve 39507 99960 0.3952281 -0.0076467 0.0053335
2016 80-89 Moderata 23124 99960 0.2313325 0.0298240 -0.0376901
2016 80-89 Grave 11645 99960 0.1164966 0.0541722 -0.0899406
2016 90-99 Assente 5067 24779 0.2044877 -0.0710764 0.1470582
2016 90-99 Lieve 8949 24779 0.3611526 -0.0164047 0.0696337
2016 90-99 Moderata 6765 24779 0.2730134 0.0402050 -0.0425194
2016 90-99 Grave 3998 24779 0.1613463 0.0740038 -0.1890105
2016 100+ Assente 670 1487 0.4505716 0.0327491 0.1378674
2016 100+ Lieve 434 1487 0.2918628 -0.0413661 -0.0647309
2016 100+ Moderata 249 1487 0.1674512 -0.0507123 -0.1292535
2016 100+ Grave 134 1487 0.0901143 0.0875160 -0.0956949
2017 50-59 Assente 216534 255411 0.8477865 -0.0085790 0.0127381
2017 50-59 Lieve 35418 255411 0.1386706 0.0504144 -0.0614878
2017 50-59 Moderata 3079 255411 0.0120551 0.0497985 -0.1067650
2017 50-59 Grave 380 255411 0.0014878 0.0788514 -0.0844795
2017 60-69 Assente 145634 206437 0.7054646 -0.0042906 0.0079192
2017 60-69 Lieve 49941 206437 0.2419188 0.0095642 -0.0177355
2017 60-69 Moderata 9091 206437 0.0440376 0.0176749 -0.0170855
2017 60-69 Grave 1771 206437 0.0085789 -0.0019520 -0.0455425
2017 70-79 Assente 67756 162241 0.4176256 -0.0106258 0.0125640
2017 70-79 Lieve 65218 162241 0.4019822 0.0005640 -0.0030986
2017 70-79 Moderata 22125 162241 0.1363712 0.0194059 -0.0167409
2017 70-79 Grave 7142 162241 0.0440209 0.0392516 -0.0352972
2017 80-89 Assente 24278 98076 0.2475427 -0.0365842 0.0380638
2017 80-89 Lieve 38752 98076 0.3951222 -0.0002681 0.0050640
2017 80-89 Moderata 22989 98076 0.2343999 0.0132594 -0.0249305
2017 80-89 Grave 12057 98076 0.1229353 0.0552692 -0.0396423
2017 90-99 Assente 4835 25306 0.1910614 -0.0656581 0.0717446
2017 90-99 Lieve 8909 25306 0.3520509 -0.0252018 0.0426771
2017 90-99 Moderata 7082 25306 0.2798546 0.0250579 -0.0185270
2017 90-99 Grave 4480 25306 0.1770331 0.0972245 -0.1101624
2017 100+ Assente 624 1381 0.4518465 0.0028294 0.1410869
2017 100+ Lieve 392 1381 0.2838523 -0.0274462 -0.0904005
2017 100+ Moderata 236 1381 0.1708907 0.0205398 -0.1113686
2017 100+ Grave 129 1381 0.0934106 0.0365785 -0.0626167
2018 50-59 Assente 211229 250504 0.8432161 -0.0053910 0.0072784
2018 50-59 Lieve 35686 250504 0.1424568 0.0273035 -0.0358631
2018 50-59 Moderata 3198 250504 0.0127663 0.0589945 -0.0540691
2018 50-59 Grave 391 250504 0.0015609 0.0491029 -0.0395248
2018 60-69 Assente 140729 200340 0.7024508 -0.0042721 0.0036133
2018 60-69 Lieve 48875 200340 0.2439603 0.0084385 -0.0094467
2018 60-69 Moderata 9012 200340 0.0449835 0.0214789 0.0040264
2018 60-69 Grave 1724 200340 0.0086054 0.0030869 -0.0425962
2018 70-79 Assente 66280 159286 0.4161069 -0.0036366 0.0088817
2018 70-79 Lieve 63936 159286 0.4013912 -0.0014703 -0.0045643
2018 70-79 Moderata 21903 159286 0.1375074 0.0083315 -0.0085489
2018 70-79 Grave 7167 159286 0.0449945 0.0221169 -0.0139609
2018 80-89 Assente 24041 97241 0.2472311 -0.0012588 0.0367570
2018 80-89 Lieve 38193 97241 0.3927664 -0.0059620 -0.0009282
2018 80-89 Moderata 22784 97241 0.2343045 -0.0004070 -0.0253273
2018 80-89 Grave 12223 97241 0.1256980 0.0224731 -0.0180602
2018 90-99 Assente 4627 25407 0.1821152 -0.0468239 0.0215613
2018 90-99 Lieve 8793 25407 0.3460857 -0.0169441 0.0250099
2018 90-99 Moderata 7172 25407 0.2822844 0.0086825 -0.0100054
2018 90-99 Grave 4815 25407 0.1895147 0.0705042 -0.0474251
2018 100+ Assente 540 1234 0.4376013 -0.0315266 0.1051123
2018 100+ Lieve 362 1234 0.2933549 0.0334775 -0.0599494
2018 100+ Moderata 210 1234 0.1701783 -0.0041686 -0.1150729
2018 100+ Grave 122 1234 0.0988655 0.0583971 -0.0078763
2019 50-59 Assente 204505 244295 0.8371232 -0.0072258 0.0000000
2019 50-59 Lieve 36096 244295 0.1477558 0.0371971 0.0000000
2019 50-59 Moderata 3297 244295 0.0134960 0.0571596 0.0000000
2019 50-59 Grave 397 244295 0.0016251 0.0411513 0.0000000
2019 60-69 Assente 136897 195589 0.6999218 -0.0036003 0.0000000
2019 60-69 Lieve 48171 195589 0.2462869 0.0095368 0.0000000
2019 60-69 Moderata 8763 195589 0.0448031 -0.0040102 0.0000000
2019 60-69 Grave 1758 195589 0.0089882 0.0444914 0.0000000
2019 70-79 Assente 63532 154038 0.4124437 -0.0088035 0.0000000
2019 70-79 Lieve 62113 154038 0.4032317 0.0045852 0.0000000
2019 70-79 Moderata 21364 154038 0.1386930 0.0086226 0.0000000
2019 70-79 Grave 7029 154038 0.0456316 0.0141586 0.0000000
2019 80-89 Assente 22768 95477 0.2384658 -0.0354539 0.0000000
2019 80-89 Lieve 37535 95477 0.3931313 0.0009291 0.0000000
2019 80-89 Moderata 22952 95477 0.2403930 0.0259855 0.0000000
2019 80-89 Grave 12222 95477 0.1280099 0.0183923 0.0000000
2019 90-99 Assente 4414 24760 0.1782714 -0.0211062 0.0000000
2019 90-99 Lieve 8360 24760 0.3376414 -0.0243996 0.0000000
2019 90-99 Moderata 7060 24760 0.2851373 0.0101065 0.0000000
2019 90-99 Grave 4926 24760 0.1989499 0.0497862 0.0000000
2019 100+ Assente 453 1144 0.3959790 -0.0951146 0.0000000
2019 100+ Lieve 357 1144 0.3120629 0.0637726 0.0000000
2019 100+ Moderata 220 1144 0.1923077 0.1300366 0.0000000
2019 100+ Grave 114 1144 0.0996503 0.0079388 0.0000000
2020 50-59 Assente 196250 235969 0.8316770 -0.0065057 -0.0065057
2020 50-59 Lieve 35976 235969 0.1524607 0.0318425 0.0318425
2020 50-59 Moderata 3341 235969 0.0141586 0.0491006 0.0491006
2020 50-59 Grave 402 235969 0.0017036 0.0483231 0.0483231
2020 60-69 Assente 131390 189521 0.6932741 -0.0094977 -0.0094977
2020 60-69 Lieve 47752 189521 0.2519615 0.0230409 0.0230409
2020 60-69 Moderata 8660 189521 0.0456941 0.0198873 0.0198873
2020 60-69 Grave 1719 189521 0.0090702 0.0091230 0.0091230
2020 70-79 Assente 59191 146871 0.4030135 -0.0228641 -0.0228641
2020 70-79 Lieve 60183 146871 0.4097678 0.0162093 0.0162093
2020 70-79 Moderata 20661 146871 0.1406745 0.0142864 0.0142864
2020 70-79 Grave 6836 146871 0.0465442 0.0200004 0.0200004
2020 80-89 Assente 20842 92120 0.2262484 -0.0512335 -0.0512335
2020 80-89 Lieve 36564 92120 0.3969171 0.0096297 0.0096297
2020 80-89 Moderata 22396 92120 0.2431177 0.0113344 0.0113344
2020 80-89 Grave 12318 92120 0.1337169 0.0445825 0.0445825
2020 90-99 Assente 3856 24064 0.1602394 -0.1011494 -0.1011494
2020 90-99 Lieve 8150 24064 0.3386802 0.0030767 0.0030767
2020 90-99 Moderata 7014 24064 0.2914727 0.0222188 0.0222188
2020 90-99 Grave 5044 24064 0.2096077 0.0535702 0.0535702
2020 100+ Assente 384 1105 0.3475113 -0.1223997 -0.1223997
2020 100+ Lieve 373 1105 0.3375566 0.0816939 0.0816939
2020 100+ Moderata 235 1105 0.2126697 0.1058824 0.1058824
2020 100+ Grave 113 1105 0.1022624 0.0262126 0.0262126
2021 50-59 Assente 180383 218321 0.8262284 -0.0065514 -0.0130146
2021 50-59 Lieve 34342 218321 0.1573005 0.0317445 0.0645978
2021 50-59 Moderata 3250 218321 0.0148863 0.0513960 0.1030202
2021 50-59 Grave 346 218321 0.0015848 -0.0697290 -0.0247754
2021 60-69 Assente 122157 177310 0.6889459 -0.0062431 -0.0156816
2021 60-69 Lieve 45527 177310 0.2567650 0.0190643 0.0425444
2021 60-69 Moderata 8081 177310 0.0455755 -0.0025955 0.0172401
2021 60-69 Grave 1545 177310 0.0087136 -0.0393245 -0.0305603
2021 70-79 Assente 52634 132958 0.3958694 -0.0177268 -0.0401856
2021 70-79 Lieve 55499 132958 0.4174175 0.0186686 0.0351804
2021 70-79 Moderata 18682 132958 0.1405105 -0.0011653 0.0131044
2021 70-79 Grave 6143 132958 0.0462026 -0.0073411 0.0125124
2021 80-89 Assente 17470 81886 0.2133454 -0.0570302 -0.1053418
2021 80-89 Lieve 33647 81886 0.4109005 0.0352302 0.0451991
2021 80-89 Moderata 19934 81886 0.2434360 0.0013093 0.0126585
2021 80-89 Grave 10835 81886 0.1323181 -0.0104608 0.0336553
2021 90-99 Assente 2997 21274 0.1408762 -0.1208391 -0.2097657
2021 90-99 Lieve 7452 21274 0.3502867 0.0342699 0.0374521
2021 90-99 Moderata 6332 21274 0.2976403 0.0211600 0.0438490
2021 90-99 Grave 4493 21274 0.2111968 0.0075811 0.0615574
2021 100+ Assente 335 1056 0.3172348 -0.0871237 -0.1988595
2021 100+ Lieve 348 1056 0.3295455 -0.0237326 0.0560224
2021 100+ Moderata 242 1056 0.2291667 0.0775709 0.1916667
2021 100+ Grave 131 1056 0.1240530 0.2130849 0.2448830 
data %>% filter(age.groups != "100+" & !is.na(diff.prop)) %>% ggplot(aes(x = as.numeric(as.character(anno)),
                    y = diff.prop,
                    col = age.groups)) +
  geom_point() + geom_line() +
  facet_wrap(~FI.gr)+
  ylab("% modifica rispetto anno precedente")

data %>% filter(age.groups != "100+") %>%  ggplot(aes(x = as.numeric(as.character(anno)),
                    y = diff.prop.19,
                    col = age.groups)) +
  geom_point() + geom_line()+
  facet_wrap(~FI.gr)+
ylab("% differenza rispetto a 2019")

Mortalità negli anni

knitr::opts_chunk$set(
  comment = '', fig.width = 15, dpi = 150
)
#Globale
results$mortality$frailty.classes$globale %>% 
  group_by(anno) %>% summarise(mortalita = sum(N.death.1y)/sum(N)) -> data
data %>% kable
anno mortalita
2011 0.0111329
2012 0.0107978
2013 0.0103024
2014 0.0076282
2015 0.0081208
2016 0.0065905
2017 0.0068184
2018 0.0100175
2019 0.0096029
2020 0.0105039
2021 0.0098972 
data %>% ggplot(aes(x = anno,
                    y = mortalita)) +
  geom_col(col = "black") +
  scale_y_continuous(labels = scales::percent)

#Per eta
results$mortality$frailty.classes$eta %>% select(c(anno, age.groups, FI.gr, N, N.death.1y)) %>% group_by(anno, age.groups) %>% 
  summarise(mortalita = sum(N.death.1y)/sum(N)) -> data
data %>% kable
anno age.groups mortalita
2011 50-59 0.0017231
2011 60-69 0.0046666
2011 70-79 0.0112906
2011 80-89 0.0343632
2011 90-99 0.0832803
2011 100+ 0.0833333
2012 50-59 0.0015880
2012 60-69 0.0045239
2012 70-79 0.0110681
2012 80-89 0.0327680
2012 90-99 0.0790254
2012 100+ 0.0756914
2013 50-59 0.0014358
2013 60-69 0.0039261
2013 70-79 0.0106036
2013 80-89 0.0310136
2013 90-99 0.0759778
2013 100+ 0.0827218
2014 50-59 0.0012442
2014 60-69 0.0029179
2014 70-79 0.0075862
2014 80-89 0.0226308
2014 90-99 0.0548229
2014 100+ 0.0647208
2015 50-59 0.0011805
2015 60-69 0.0029699
2015 70-79 0.0075192
2015 80-89 0.0239925
2015 90-99 0.0634499
2015 100+ 0.0690521
2016 50-59 0.0009168
2016 60-69 0.0024025
2016 70-79 0.0064277
2016 80-89 0.0196879
2016 90-99 0.0487913
2016 100+ 0.0423672
2017 50-59 0.0010062
2017 60-69 0.0025480
2017 70-79 0.0066999
2017 80-89 0.0200151
2017 90-99 0.0477752
2017 100+ 0.0463432
2018 50-59 0.0015249
2018 60-69 0.0038684
2018 70-79 0.0096305
2018 80-89 0.0280026
2018 90-99 0.0725391
2018 100+ 0.0777958
2019 50-59 0.0014327
2019 60-69 0.0035227
2019 70-79 0.0086018
2019 80-89 0.0272317
2019 90-99 0.0733845
2019 100+ 0.0769231
2020 50-59 0.0015256
2020 60-69 0.0036355
2020 70-79 0.0098045
2020 80-89 0.0295918
2020 90-99 0.0812832
2020 100+ 0.0660633
2021 50-59 0.0012046
2021 60-69 0.0031358
2021 70-79 0.0092360
2021 80-89 0.0290648
2021 90-99 0.0816020
2021 100+ 0.0946970 
data %>% ggplot(aes(x = anno,
                    y = mortalita,
                    fill = age.groups))+
  geom_col(col = "black",
           position = "dodge")+
  scale_y_continuous(labels = scales::percent)

data$rel.change <- NA
for (i in 1:nrow(data))
{
  if (as.numeric(as.character(data$anno[i])) >= 2014)
  {
    anni.to.consider <- as.numeric(as.character(data$anno[i])) - c(1,2,3)
    reference <- mean(data$mortalita[as.numeric(as.character(data$anno)) %in% anni.to.consider & data$age.groups == data$age.groups[i]])
    data$rel.change[i] <- (data$mortalita[i] - reference)/reference
  }
}

data %>% kable
anno age.groups mortalita rel.change
2011 50-59 0.0017231 NA
2011 60-69 0.0046666 NA
2011 70-79 0.0112906 NA
2011 80-89 0.0343632 NA
2011 90-99 0.0832803 NA
2011 100+ 0.0833333 NA
2012 50-59 0.0015880 NA
2012 60-69 0.0045239 NA
2012 70-79 0.0110681 NA
2012 80-89 0.0327680 NA
2012 90-99 0.0790254 NA
2012 100+ 0.0756914 NA
2013 50-59 0.0014358 NA
2013 60-69 0.0039261 NA
2013 70-79 0.0106036 NA
2013 80-89 0.0310136 NA
2013 90-99 0.0759778 NA
2013 100+ 0.0827218 NA
2014 50-59 0.0012442 -0.2136761
2014 60-69 0.0029179 -0.3326170
2014 70-79 0.0075862 -0.3095580
2014 80-89 0.0226308 -0.3082417
2014 90-99 0.0548229 -0.3097772
2014 100+ 0.0647208 -0.1968347
2015 50-59 0.0011805 -0.1702481
2015 60-69 0.0029699 -0.2162447
2015 70-79 0.0075192 -0.2290061
2015 80-89 0.0239925 -0.1670469
2015 90-99 0.0634499 -0.0928214
2015 100+ 0.0690521 -0.0716060
2016 50-59 0.0009168 -0.2875404
2016 60-69 0.0024025 -0.2655898
2016 70-79 0.0064277 -0.2499512
2016 80-89 0.0196879 -0.2392330
2016 90-99 0.0487913 -0.2464685
2016 100+ 0.0423672 -0.4129116
2017 50-59 0.0010062 -0.0966174
2017 60-69 0.0025480 -0.0779610
2017 70-79 0.0066999 -0.0665626
2017 80-89 0.0200151 -0.0944929
2017 90-99 0.0477752 -0.1420917
2017 100+ 0.0463432 -0.2106869
2018 50-59 0.0015249 0.4740613
2018 60-69 0.0038684 0.4652439
2018 70-79 0.0096305 0.3993198
2018 80-89 0.0280026 0.3188972
2018 90-99 0.0725391 0.3599676
2018 100+ 0.0777958 0.4793588
2019 50-59 0.0014327 0.2465537
2019 60-69 0.0035227 0.1983439
2019 70-79 0.0086018 0.1338991
2019 80-89 0.0272317 0.2066228
2019 90-99 0.0733845 0.3018697
2019 100+ 0.0769231 0.3859498
2020 50-59 0.0015256 0.1546558
2020 60-69 0.0036355 0.0973260
2020 70-79 0.0098045 0.1797441
2020 80-89 0.0295918 0.1797509
2020 90-99 0.0812832 0.2589120
2020 100+ 0.0660633 -0.0142844
2021 50-59 0.0012046 -0.1938996
2021 60-69 0.0031358 -0.1468581
2021 70-79 0.0092360 -0.0117265
2021 80-89 0.0290648 0.0279192
2021 90-99 0.0816020 0.0774584
2021 100+ 0.0946970 0.2867473 
data %>% filter(!is.na(rel.change) &
                  age.groups != "100+")%>%  ggplot(aes(x = as.numeric(as.character(anno)),
                    y = rel.change ,
                    col = age.groups)) +
  geom_point() + geom_line()

results$mortality$frailty.classes$globale %>% select(c(anno, FI.gr, N, N.death.1y)) %>% 
  mutate(prop = N.death.1y/N) %>% 
  ggplot(aes(x = anno, y = prop, fill = factor(FI.gr, levels = c("Grave","Moderata","Lieve","Assente")))) +
  geom_col(col = "black")+
  facet_wrap(~FI.gr, nrow = 2)+
  labs(fill = "Fragilità")+
  scale_fill_manual(values = c("#03045e","#0077b6","#00b4d8","#caf0f8"))+
  theme_light()+
  scale_y_continuous(labels = scales::percent)+
  theme(legend.position = "none")+
  theme(text = element_text(size = 18))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1 ))+
  ylab("Mortalità") + xlab("Anno")

results$mortality$frailty.classes$globale %>% 
  mutate(tot.D = sum(N.death.1y[anno == anno])) %>% 
  mutate(prop = N.death.1y/tot.D) %>% 
  ggplot(aes(x = anno,
             y = prop,
             fill = factor(FI.gr, levels = c("Grave","Moderata","Lieve","Assente"))))+
  geom_col(col = "black", size = 1.2)+
  labs(fill = "Fragilità")+
  scale_fill_manual(values = c("#03045e","#0077b6","#00b4d8","#caf0f8"))+
  theme_light()+
  scale_y_continuous(labels = scales::percent)+
  theme(legend.position = "bottom")+
  theme(text = element_text(size = 18))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1 ))+
  ylab("Proporzione deceduti") + xlab("Anno")

results$mortality$frailty.classes$eta %>% 
  mutate(tot.D = sum(N.death.1y[anno == anno & age.groups == age.groups])) %>% 
  mutate(prop = N.death.1y/tot.D) %>% 
  ggplot(aes(x = anno,
             y = prop,
             fill = factor(FI.gr, levels = c("Grave","Moderata","Lieve","Assente"))))+
  geom_col(col = "black")+
  labs(fill = "Fragilità")+
  scale_fill_manual(values = c("#03045e","#0077b6","#00b4d8","#caf0f8"))+
  theme_light()+
  scale_y_continuous(labels = scales::percent)+
  theme(legend.position = "bottom")+
  theme(text = element_text(size = 18))+
  theme(axis.text.x = element_text(angle = 90, hjust = 1 ))+
  ylab("Proporzione deceduti") + xlab("Anno") +
  facet_wrap(~age.groups, ncol = 3)

results$mortality$frailty.classes$eta %>% 
  mutate(prop = N.death.1y/N) %>% 
  ggplot(aes(x = as.numeric(as.character(anno)), y = prop, col = age.groups)) +
  geom_point()+geom_line()+
  facet_wrap(~FI.gr)+
  labs(col = "Età")+
  theme_light()+
  scale_y_continuous(labels = scales::percent)+
  scale_x_continuous(breaks = seq(2011,2021,1))+
  theme(legend.position = "bottom")+
  theme(text = element_text(size = 18))+
  theme(axis.text.x = element_text(angle = 90))+
  ylab("Mortalità") + xlab("Anno")

results$mortality$frailty.classes$eta %>% 
  mutate(prop = N.death.1y/N) %>% 
  ggplot(aes(x = as.numeric(as.character(anno)), y = prop, col = factor(FI.gr, levels = c("Grave","Moderata","Lieve","Assente")))) +
  geom_point()+geom_line()+
  facet_wrap(~age.groups)+
  labs(col = "Età")+
  theme_light()+
  scale_color_manual(values = c("#03045e","#0077b6","#00b4d8","#90e0ef"))+
  scale_y_continuous(labels = scales::percent)+
  scale_x_continuous(breaks = seq(2011,2021,1))+
  theme(legend.position = "bottom")+
  theme(text = element_text(size = 18))+
  theme(axis.text.x = element_text(angle = 90))+
  ylab("Mortalità") + xlab("Anno")

results$mortality$frailty.classes$eta %>% 
  mutate(prop = N.death.1y/N) %>% 
  ggplot(aes(x = age.groups,y = factor(FI.gr, levels = c("Assente","Lieve","Moderata","Grave")),
             fill = prop)) +
  geom_raster()+
  scale_fill_continuous(high = "#ff0000", low = "#ffd6d6", labels = scales::percent)+
  facet_wrap(~anno, nrow =3)+
  theme_light()+
  theme(axis.text.x = element_text(angle= 90))+
  ylab("Fragilità") + xlab("Età") +
  labs(fill = "Mortalità")

Mappe

knitr::opts_chunk$set(
  comment = '', fig.width = 15, dpi = 150
)
library(sf)
Warning: package 'sf' was built under R version 4.2.3
Linking to GEOS 3.9.3, GDAL 3.5.2, PROJ 8.2.1; sf_use_s2() is TRUE
italy.reg.2 <- st_read("../../../Frailty Index Lapi/PCFI in italy/Reg01012019_g_WGS84.shp")
Reading layer `Reg01012019_g_WGS84' from data source 
  `F:\dropbox\Dropbox\ARC Davide Alberto\Frailty Index Lapi\PCFI in italy\Reg01012019_g_WGS84.shp' 
  using driver `ESRI Shapefile'
Simple feature collection with 20 features and 5 fields
Geometry type: MULTIPOLYGON
Dimension:     XY
Bounding box:  xmin: 313279.3 ymin: 3933846 xmax: 1312016 ymax: 5220292
Projected CRS: WGS 84 / UTM zone 32N
italy.reg.2$DEN_REG = toupper(italy.reg.2$DEN_REG)
#
#
results$generali$regione -> data

data$regione <- toupper(data$regione)
#unique(italy.reg.2$DEN_REG)[!(unique(italy.reg.2$DEN_REG) %in% unique(data$regione))]
data$regione[grep("FRIUL",data$regione)] <- "FRIULI VENEZIA GIULIA"
names(data)[grep("regione",names(data))] <- "DEN_REG"
data %>% select(c(anno,DEN_REG,tot.N,no.Frailty,mild.Frailty,mod.Frailty,sev.Frailty)) %>% 
  mutate(prop = (mod.Frailty + sev.Frailty)/tot.N) %>% 
  select(c(anno, DEN_REG, prop)) -> data
#
merge.d <- left_join(italy.reg.2, data, by ="DEN_REG")
merge.d %>% filter(!is.na(prop)) %>% ggplot() +
  geom_sf(aes(fill = prop))+
  facet_wrap(~anno)+
  theme_bw()+
  scale_fill_continuous(high = "#ff0000", low = "#ffd6d6", labels = scales::percent, limits = c(0,.2))+
  theme(legend.position = "bottom",
        panel.border = element_rect(color = NA))+
  labs(fill = "Fragilità moderata o grave")+
  coord_sf(datum = NA) -> p
ggsave("chart.png",plot = p, device = "png",
       dpi = 250, width = 12, units = "cm")
Saving 12 x 12.7 cm image

mappe