Gói covid19.analytics được thiết kế riêng dành cho ngôn ngữ R, bao gồm các dữ liệu mới nhất về virus COVID 19 do Đại học John Hopkins đề xuất. Chi tiết gói phân tích tại đây
Truy cập thông tin COVID-19
Thông tin nhanh
Xem thông tin nhanh của 5 quốc gia có số lượng các ca COVID 19 nhiều nhất
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## ##### TS-CONFIRMED Cases -- Data dated: 2021-06-02 :: 2021-06-03 21:26:30
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## Number of Countries/Regions reported: 193
## Number of Cities/Provinces reported: 87
## Unique number of distinct geographical locations combined: 276
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## Worldwide ts-confirmed Totals: 171675030
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## Country.Region Province.State Totals GlobalPerc LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 US 33307363 19.40 16913 22943 5776 27454 30208 40716
## 2 India 28441986 16.57 134154 132788 127510 186364 259551 382146
## 3 Brazil 16720081 9.74 95601 78926 30434 67467 82039 77359
## 4 France 5619133 3.27 0 9575 1211 13933 -349116 24217
## 5 Turkey 5263697 3.07 7181 7112 6493 8426 9385 28997
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## Global Perc. Average: 0.36 (sd: 1.7)
## Global Perc. Average in top 5 : 10.41 (sd: 7.48)
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## ##### TS-DEATHS Cases -- Data dated: 2021-06-02 :: 2021-06-03 21:26:33
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## Number of Countries/Regions reported: 193
## Number of Cities/Provinces reported: 87
## Unique number of distinct geographical locations combined: 276
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## Worldwide ts-deaths Totals: 3691554
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## Country.Region Province.State Totals Perc LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 US 595833 1.79 610 638 142 1338 669 887
## 2 Brazil 467706 2.80 2507 2408 860 2245 2403 2966
## 3 India 337989 1.19 2887 3207 2795 3660 4209 3780
## 4 Mexico 228146 9.41 306 4272 61 429 230 395
## 5 Peru 184942 9.41 115600 0 364 182 0 299
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## ##### TS-RECOVERED Cases -- Data dated: 2021-06-02 :: 2021-06-03 21:26:35
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## Number of Countries/Regions reported: 193
## Number of Cities/Provinces reported: 71
## Unique number of distinct geographical locations combined: 261
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## Worldwide ts-recovered Totals: 109269922
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## Country.Region Province.State Totals LastDayChange t-2 t-3 t-7 t-14 t-30
## 1 India 26390584 211499 231456 255287 259459 357295 338229
## 2 Brazil 14763694 68744 108941 45502 183636 36323 35418
## 3 Turkey 5131453 7372 9457 9582 13102 9271 38218
## 4 Russia 4648191 8882 8848 6697 9593 9695 6680
## 5 Italy 3886867 18535 10313 6358 10808 12816 18477
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## ##### AGGREGATED Data -- ORDERED BY CONFIRMED Cases -- Data dated: 2021-06-03 :: 2021-06-03 21:26:36
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## Number of Countries/Regions reported: 192
## Number of Cities/Provinces reported: 577
## Unique number of distinct geographical locations combined: 3978
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Maharashtra, India 5776184 3.48 96751 1.67 5460589 94.54 218844 3.79
## 2 Turkey 5263697 3.17 47768 0.91 5131453 97.49 84476 1.60
## 3 England, United Kingdom 3921939 2.36 112402 2.87 0 0.00 3809537 97.13
## 4 Argentina 3852156 2.32 79320 2.06 3409316 88.50 363520 9.44
## 5 Sao Paulo, Brazil 3314631 2.00 112927 3.41 2972363 89.67 229341 6.92
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY DEATHS Cases -- Data dated: 2021-06-03 :: 2021-06-03 21:26:36
## ############################################################################################################################################
## Number of Countries/Regions reported: 192
## Number of Cities/Provinces reported: 577
## Unique number of distinct geographical locations combined: 3978
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Sao Paulo, Brazil 3314631 2.00 112927 3.41 2972363 89.67 229341 6.92
## 2 England, United Kingdom 3921939 2.36 112402 2.87 0 0.00 3809537 97.13
## 3 Maharashtra, India 5776184 3.48 96751 1.67 5460589 94.54 218844 3.79
## 4 Iran 2935443 1.77 80488 2.74 2494108 84.97 360847 12.29
## 5 Argentina 3852156 2.32 79320 2.06 3409316 88.50 363520 9.44
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY RECOVERED Cases -- Data dated: 2021-06-03 :: 2021-06-03 21:26:36
## ############################################################################################################################################
## Number of Countries/Regions reported: 192
## Number of Cities/Provinces reported: 577
## Unique number of distinct geographical locations combined: 3978
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 Maharashtra, India 5776184 3.48 96751 1.67 5460589 94.54 218844 3.79
## 2 Turkey 5263697 3.17 47768 0.91 5131453 97.49 84476 1.60
## 3 Argentina 3852156 2.32 79320 2.06 3409316 88.50 363520 9.44
## 4 Sao Paulo, Brazil 3314631 2.00 112927 3.41 2972363 89.67 229341 6.92
## 5 Poland 2873527 1.73 73984 2.57 2641139 91.91 158404 5.51
## ============================================================================================================================================## ############################################################################################################################################
## ##### AGGREGATED Data -- ORDERED BY ACTIVE Cases -- Data dated: 2021-06-03 :: 2021-06-03 21:26:36
## ############################################################################################################################################
## Number of Countries/Regions reported: 192
## Number of Cities/Provinces reported: 577
## Unique number of distinct geographical locations combined: 3978
## --------------------------------------------------------------------------------------------------------------------------------------------
## Location Confirmed Perc.Confirmed Deaths Perc.Deaths Recovered Perc.Recovered Active Perc.Active
## 1 England, United Kingdom 3921939 2.36 112402 2.87 0 0.00 3809537 97.13
## 2 Lima, Peru 880414 0.53 29801 3.38 0 0.00 850613 96.62
## 3 Serbia 712989 0.43 6881 0.97 0 0.00 706108 99.03
## 4 Madrid, Spain 717880 0.43 15307 2.13 40736 5.67 661837 92.19
## 5 Ciudad de Mexico, Mexico 660725 0.40 34248 5.18 0 0.00 626477 94.82
## ============================================================================================================================================
## Confirmed Deaths Recovered Active
## Totals
## 165984151 3441292 NA NA
## Average
## 41725.53 865.08 NA NA
## Standard Deviation
## 222442.12 4756.13 NA NA
##
##
## * Statistical estimators computed considering 3978 independent reported entries
##
##
## ********************************************************************************
## ******************************** OVERALL SUMMARY********************************
## ********************************************************************************
## **** Time Series Worldwide TOTS ****
## ts-confirmed ts-deaths ts-recovered
## 171675030 3691554 109269922
## 2.15% 63.65%
## **** Time Series Worldwide AVGS ****
## ts-confirmed ts-deaths ts-recovered
## 622010.98 13375.2 418658.7
## 2.15% 67.31%
## **** Time Series Worldwide SDS ****
## ts-confirmed ts-deaths ts-recovered
## 2911912.52 55427.91 1976197.15
## 1.9% 67.87%
##
##
## * Statistical estimators computed considering 276/276/261 independent reported entries per case-type
## ********************************************************************************Tóm tắt thông tin tất cả các trường hợp trên thế giới
Các trường hợp ở đây bao gồm số lượng ca nhiễm, ca bình phục và tử vong
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Tại Việt Nam
tots.per.location(confirmed_cases,geo.loc = "Vietnam" )## VIETNAM -- 7870
## =============================== running models...===============================
## Linear Regression (lm):
##
## Call:
## lm(formula = y.var ~ x.var)
##
## Residuals:
## Min 1Q Median 3Q Max
## -701.3 -341.4 -101.2 146.7 4631.2
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -652.1758 57.6566 -11.31 <2e-16 ***
## x.var 7.8132 0.2002 39.02 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 642.4 on 496 degrees of freedom
## Multiple R-squared: 0.7543, Adjusted R-squared: 0.7538
## F-statistic: 1523 on 1 and 496 DF, p-value: < 2.2e-16
##
## --------------------------------------------------------------------------------
## Linear Regression (lm):
##
## Call:
## lm(formula = y.var ~ x.var)
##
## Residuals:
## Min 1Q Median 3Q Max
## -3.8749 -0.3047 0.1593 0.5593 0.8885
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 3.8646320 0.0673300 57.40 <2e-16 ***
## x.var 0.0102318 0.0002338 43.76 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 0.7501 on 496 degrees of freedom
## Multiple R-squared: 0.7943, Adjusted R-squared: 0.7938
## F-statistic: 1915 on 1 and 496 DF, p-value: < 2.2e-16
##
## --------------------------------------------------------------------------------
## GLM using Family [1] "poisson" :
##
## Call:
## glm(formula = y.var ~ x.var, family = family)
##
## Deviance Residuals:
## Min 1Q Median 3Q Max
## -16.272 -6.053 -0.831 3.701 40.922
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 4.879e+00 4.427e-03 1102.1 <2e-16 ***
## x.var 7.214e-03 1.136e-05 635.1 <2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## (Dispersion parameter for poisson family taken to be 1)
##
## Null deviance: 568864 on 497 degrees of freedom
## Residual deviance: 41095 on 496 degrees of freedom
## AIC: 45202
##
## Number of Fisher Scoring iterations: 4
##
## --------------------------------------------------------------------------------
Tính toán về tốc độ lây nhiễm tại Việt Nam
library(pheatmap)
library(gplots)##
## Attaching package: 'gplots'## The following object is masked from 'package:stats':
##
## lowessgrowth.rate(confirmed_cases, geo.loc = "Vietnam")## Processing... VIETNAM
## $Changes
## geo.loc 2020-01-23 2020-01-24 2020-01-25 2020-01-26 2020-01-27 2020-01-28
## 1 VIETNAM 2 0 0 0 0 0
## 2020-01-29 2020-01-30 2020-01-31 2020-02-01 2020-02-02 2020-02-03 2020-02-04
## 1 0 0 0 4 0 2 0
## 2020-02-05 2020-02-06 2020-02-07 2020-02-08 2020-02-09 2020-02-10 2020-02-11
## 1 0 2 0 3 0 1 1
## 2020-02-12 2020-02-13 2020-02-14 2020-02-15 2020-02-16 2020-02-17 2020-02-18
## 1 0 1 0 0 0 0 0
## 2020-02-19 2020-02-20 2020-02-21 2020-02-22 2020-02-23 2020-02-24 2020-02-25
## 1 0 0 0 0 0 0 0
## 2020-02-26 2020-02-27 2020-02-28 2020-02-29 2020-03-01 2020-03-02 2020-03-03
## 1 0 0 0 0 0 0 0
## 2020-03-04 2020-03-05 2020-03-06 2020-03-07 2020-03-08 2020-03-09 2020-03-10
## 1 0 0 0 2 12 0 1
## 2020-03-11 2020-03-12 2020-03-13 2020-03-14 2020-03-15 2020-03-16 2020-03-17
## 1 7 1 8 6 3 5 5
## 2020-03-18 2020-03-19 2020-03-20 2020-03-21 2020-03-22 2020-03-23 2020-03-24
## 1 9 10 6 3 19 10 11
## 2020-03-25 2020-03-26 2020-03-27 2020-03-28 2020-03-29 2020-03-30 2020-03-31
## 1 7 12 10 11 14 15 9
## 2020-04-01 2020-04-02 2020-04-03 2020-04-04 2020-04-05 2020-04-06 2020-04-07
## 1 6 15 4 3 1 4 4
## 2020-04-08 2020-04-09 2020-04-10 2020-04-11 2020-04-12 2020-04-13 2020-04-14
## 1 2 4 2 1 4 3 1
## 2020-04-15 2020-04-16 2020-04-17 2020-04-18 2020-04-19 2020-04-20 2020-04-21
## 1 1 1 0 0 0 0 0
## 2020-04-22 2020-04-23 2020-04-24 2020-04-25 2020-04-26 2020-04-27 2020-04-28
## 1 0 0 2 0 0 0 0
## 2020-04-29 2020-04-30 2020-05-01 2020-05-02 2020-05-03 2020-05-04 2020-05-05
## 1 0 0 0 0 1 0 0
## 2020-05-06 2020-05-07 2020-05-08 2020-05-09 2020-05-10 2020-05-11 2020-05-12
## 1 0 17 0 0 0 0 0
## 2020-05-13 2020-05-14 2020-05-15 2020-05-16 2020-05-17 2020-05-18 2020-05-19
## 1 0 24 2 4 2 4 0
## 2020-05-20 2020-05-21 2020-05-22 2020-05-23 2020-05-24 2020-05-25 2020-05-26
## 1 0 0 0 1 0 1 1
## 2020-05-27 2020-05-28 2020-05-29 2020-05-30 2020-05-31 2020-06-01 2020-06-02
## 1 0 0 1 0 0 0 0
## 2020-06-03 2020-06-04 2020-06-05 2020-06-06 2020-06-07 2020-06-08 2020-06-09
## 1 0 0 0 1 2 1 0
## 2020-06-10 2020-06-11 2020-06-12 2020-06-13 2020-06-14 2020-06-15 2020-06-16
## 1 0 0 1 1 0 0 0
## 2020-06-17 2020-06-18 2020-06-19 2020-06-20 2020-06-21 2020-06-22 2020-06-23
## 1 1 7 7 0 0 0 0
## 2020-06-24 2020-06-25 2020-06-26 2020-06-27 2020-06-28 2020-06-29 2020-06-30
## 1 3 0 1 2 0 0 0
## 2020-07-01 2020-07-02 2020-07-03 2020-07-04 2020-07-05 2020-07-06 2020-07-07
## 1 0 0 0 0 0 14 0
## 2020-07-08 2020-07-09 2020-07-10 2020-07-11 2020-07-12 2020-07-13 2020-07-14
## 1 0 0 1 0 2 1 0
## 2020-07-15 2020-07-16 2020-07-17 2020-07-18 2020-07-19 2020-07-20 2020-07-21
## 1 8 0 1 0 1 1 17
## 2020-07-22 2020-07-23 2020-07-24 2020-07-25 2020-07-26 2020-07-27 2020-07-28
## 1 7 4 3 2 3 11 15
## 2020-07-29 2020-07-30 2020-07-31 2020-08-01 2020-08-02 2020-08-03 2020-08-04
## 1 13 50 49 32 31 31 20
## 2020-08-05 2020-08-06 2020-08-07 2020-08-08 2020-08-09 2020-08-10 2020-08-11
## 1 45 33 39 23 29 6 19
## 2020-08-12 2020-08-13 2020-08-14 2020-08-15 2020-08-16 2020-08-17 2020-08-18
## 1 17 28 19 21 13 19 6
## 2020-08-19 2020-08-20 2020-08-21 2020-08-22 2020-08-23 2020-08-24 2020-08-25
## 1 5 13 2 5 2 6 7
## 2020-08-26 2020-08-27 2020-08-28 2020-08-29 2020-08-30 2020-08-31 2020-09-01
## 1 5 2 2 2 0 4 0
## 2020-09-02 2020-09-03 2020-09-04 2020-09-05 2020-09-06 2020-09-07 2020-09-08
## 1 2 0 3 0 0 0 5
## 2020-09-09 2020-09-10 2020-09-11 2020-09-12 2020-09-13 2020-09-14 2020-09-15
## 1 5 0 1 0 3 0 0
## 2020-09-16 2020-09-17 2020-09-18 2020-09-19 2020-09-20 2020-09-21 2020-09-22
## 1 0 3 2 0 0 0 0
## 2020-09-23 2020-09-24 2020-09-25 2020-09-26 2020-09-27 2020-09-28 2020-09-29
## 1 1 0 0 0 5 3 17
## 2020-09-30 2020-10-01 2020-10-02 2020-10-03 2020-10-04 2020-10-05 2020-10-06
## 1 0 1 1 0 0 1 1
## 2020-10-07 2020-10-08 2020-10-09 2020-10-10 2020-10-11 2020-10-12 2020-10-13
## 1 1 1 5 2 2 1 3
## 2020-10-14 2020-10-15 2020-10-16 2020-10-17 2020-10-18 2020-10-19 2020-10-20
## 1 9 2 0 2 8 6 1
## 2020-10-21 2020-10-22 2020-10-23 2020-10-24 2020-10-25 2020-10-26 2020-10-27
## 1 3 4 0 12 8 1 3
## 2020-10-28 2020-10-29 2020-10-30 2020-10-31 2020-11-01 2020-11-02 2020-11-03
## 1 1 4 0 3 0 12 10
## 2020-11-04 2020-11-05 2020-11-06 2020-11-07 2020-11-08 2020-11-09 2020-11-10
## 1 1 4 5 1 0 2 11
## 2020-11-11 2020-11-12 2020-11-13 2020-11-14 2020-11-15 2020-11-16 2020-11-17
## 1 26 1 3 9 16 2 5
## 2020-11-18 2020-11-19 2020-11-20 2020-11-21 2020-11-22 2020-11-23 2020-11-24
## 1 12 4 1 1 1 5 4
## 2020-11-25 2020-11-26 2020-11-27 2020-11-28 2020-11-29 2020-11-30 2020-12-01
## 1 5 10 8 2 2 4 4
## 2020-12-02 2020-12-03 2020-12-04 2020-12-05 2020-12-06 2020-12-07 2020-12-08
## 1 7 3 0 4 1 1 10
## 2020-12-09 2020-12-10 2020-12-11 2020-12-12 2020-12-13 2020-12-14 2020-12-15
## 1 4 4 6 4 2 5 3
## 2020-12-16 2020-12-17 2020-12-18 2020-12-19 2020-12-20 2020-12-21 2020-12-22
## 1 0 2 3 1 2 1 6
## 2020-12-23 2020-12-24 2020-12-25 2020-12-26 2020-12-27 2020-12-28 2020-12-29
## 1 1 11 7 1 1 10 3
## 2020-12-30 2020-12-31 2021-01-01 2021-01-02 2021-01-03 2021-01-04 2021-01-05
## 1 2 9 9 8 12 3 7
## 2021-01-06 2021-01-07 2021-01-08 2021-01-09 2021-01-10 2021-01-11 2021-01-12
## 1 1 4 3 1 1 1 5
## 2021-01-13 2021-01-14 2021-01-15 2021-01-16 2021-01-17 2021-01-18 2021-01-19
## 1 1 10 5 1 0 2 1
## 2021-01-20 2021-01-21 2021-01-22 2021-01-23 2021-01-24 2021-01-25 2021-01-26
## 1 4 2 2 0 0 1 2
## 2021-01-27 2021-01-28 2021-01-29 2021-01-30 2021-01-31 2021-02-01 2021-02-02
## 1 2 98 6 110 50 33 32
## 2021-02-03 2021-02-04 2021-02-05 2021-02-06 2021-02-07 2021-02-08 2021-02-09
## 1 66 9 19 9 16 49 14
## 2021-02-10 2021-02-11 2021-02-12 2021-02-13 2021-02-14 2021-02-15 2021-02-16
## 1 27 49 2 53 33 41 42
## 2021-02-17 2021-02-18 2021-02-19 2021-02-20 2021-02-21 2021-02-22 2021-02-23
## 1 18 18 15 6 15 9 11
## 2021-02-24 2021-02-25 2021-02-26 2021-02-27 2021-02-28 2021-03-01 2021-03-02
## 1 9 9 5 6 16 0 27
## 2021-03-03 2021-03-04 2021-03-05 2021-03-06 2021-03-07 2021-03-08 2021-03-09
## 1 7 6 6 7 11 12 2
## 2021-03-10 2021-03-11 2021-03-12 2021-03-13 2021-03-14 2021-03-15 2021-03-16
## 1 3 4 17 3 1 3 3
## 2021-03-17 2021-03-18 2021-03-19 2021-03-20 2021-03-21 2021-03-22 2021-03-23
## 1 7 3 1 1 0 3 0
## 2021-03-24 2021-03-25 2021-03-26 2021-03-27 2021-03-28 2021-03-29 2021-03-30
## 1 1 3 7 0 5 3 0
## 2021-03-31 2021-04-01 2021-04-02 2021-04-03 2021-04-04 2021-04-05 2021-04-06
## 1 9 14 3 6 5 6 11
## 2021-04-07 2021-04-08 2021-04-09 2021-04-10 2021-04-11 2021-04-12 2021-04-13
## 1 11 9 15 9 1 12 9
## 2021-04-14 2021-04-15 2021-04-16 2021-04-17 2021-04-18 2021-04-19 2021-04-20
## 1 19 25 14 9 4 6 9
## 2021-04-21 2021-04-22 2021-04-23 2021-04-24 2021-04-25 2021-04-26 2021-04-27
## 1 12 12 6 3 10 9 5
## 2021-04-28 2021-04-29 2021-04-30 2021-05-01 2021-05-02 2021-05-03 2021-05-04
## 1 8 45 18 14 20 23 10
## 2021-05-05 2021-05-06 2021-05-07 2021-05-08 2021-05-09 2021-05-10 2021-05-11
## 1 35 60 47 108 167 77 82
## 2021-05-12 2021-05-13 2021-05-14 2021-05-15 2021-05-16 2021-05-17 2021-05-18
## 1 87 82 76 296 100 147 153
## 2021-05-19 2021-05-20 2021-05-21 2021-05-22 2021-05-23 2021-05-24 2021-05-25
## 1 208 89 132 178 156 129 527
## 2021-05-26 2021-05-27 2021-05-28 2021-05-29 2021-05-30 2021-05-31 2021-06-01
## 1 155 270 40 512 199 325 193
## 2021-06-02
## 1 245
##
## $Growth.Rate
## geo.loc 2020-01-24 2020-01-25 2020-01-26 2020-01-27 2020-01-28 2020-01-29
## 1 VIETNAM 0 NaN NaN NaN NaN NaN
## 2020-01-30 2020-01-31 2020-02-01 2020-02-02 2020-02-03 2020-02-04 2020-02-05
## 1 NaN NaN NA 0 NA 0 NaN
## 2020-02-06 2020-02-07 2020-02-08 2020-02-09 2020-02-10 2020-02-11 2020-02-12
## 1 NA 0 NA 0 NA 1 0
## 2020-02-13 2020-02-14 2020-02-15 2020-02-16 2020-02-17 2020-02-18 2020-02-19
## 1 NA 0 NaN NaN NaN NaN NaN
## 2020-02-20 2020-02-21 2020-02-22 2020-02-23 2020-02-24 2020-02-25 2020-02-26
## 1 NaN NaN NaN NaN NaN NaN NaN
## 2020-02-27 2020-02-28 2020-02-29 2020-03-01 2020-03-02 2020-03-03 2020-03-04
## 1 NaN NaN NaN NaN NaN NaN NaN
## 2020-03-05 2020-03-06 2020-03-07 2020-03-08 2020-03-09 2020-03-10 2020-03-11
## 1 NaN NaN NA 6 0 NA 7
## 2020-03-12 2020-03-13 2020-03-14 2020-03-15 2020-03-16 2020-03-17 2020-03-18
## 1 0.1428571 8 0.75 0.5 1.666667 1 1.8
## 2020-03-19 2020-03-20 2020-03-21 2020-03-22 2020-03-23 2020-03-24 2020-03-25
## 1 1.111111 0.6 0.5 6.333333 0.5263158 1.1 0.6363636
## 2020-03-26 2020-03-27 2020-03-28 2020-03-29 2020-03-30 2020-03-31 2020-04-01
## 1 1.714286 0.8333333 1.1 1.272727 1.071429 0.6 0.6666667
## 2020-04-02 2020-04-03 2020-04-04 2020-04-05 2020-04-06 2020-04-07 2020-04-08
## 1 2.5 0.2666667 0.75 0.3333333 4 1 0.5
## 2020-04-09 2020-04-10 2020-04-11 2020-04-12 2020-04-13 2020-04-14 2020-04-15
## 1 2 0.5 0.5 4 0.75 0.3333333 1
## 2020-04-16 2020-04-17 2020-04-18 2020-04-19 2020-04-20 2020-04-21 2020-04-22
## 1 1 0 NaN NaN NaN NaN NaN
## 2020-04-23 2020-04-24 2020-04-25 2020-04-26 2020-04-27 2020-04-28 2020-04-29
## 1 NaN NA 0 NaN NaN NaN NaN
## 2020-04-30 2020-05-01 2020-05-02 2020-05-03 2020-05-04 2020-05-05 2020-05-06
## 1 NaN NaN NaN NA 0 NaN NaN
## 2020-05-07 2020-05-08 2020-05-09 2020-05-10 2020-05-11 2020-05-12 2020-05-13
## 1 NA 0 NaN NaN NaN NaN NaN
## 2020-05-14 2020-05-15 2020-05-16 2020-05-17 2020-05-18 2020-05-19 2020-05-20
## 1 NA 0.08333333 2 0.5 2 0 NaN
## 2020-05-21 2020-05-22 2020-05-23 2020-05-24 2020-05-25 2020-05-26 2020-05-27
## 1 NaN NaN NA 0 NA 1 0
## 2020-05-28 2020-05-29 2020-05-30 2020-05-31 2020-06-01 2020-06-02 2020-06-03
## 1 NaN NA 0 NaN NaN NaN NaN
## 2020-06-04 2020-06-05 2020-06-06 2020-06-07 2020-06-08 2020-06-09 2020-06-10
## 1 NaN NaN NA 2 0.5 0 NaN
## 2020-06-11 2020-06-12 2020-06-13 2020-06-14 2020-06-15 2020-06-16 2020-06-17
## 1 NaN NA 1 0 NaN NaN NA
## 2020-06-18 2020-06-19 2020-06-20 2020-06-21 2020-06-22 2020-06-23 2020-06-24
## 1 7 1 0 NaN NaN NaN NA
## 2020-06-25 2020-06-26 2020-06-27 2020-06-28 2020-06-29 2020-06-30 2020-07-01
## 1 0 NA 2 0 NaN NaN NaN
## 2020-07-02 2020-07-03 2020-07-04 2020-07-05 2020-07-06 2020-07-07 2020-07-08
## 1 NaN NaN NaN NaN NA 0 NaN
## 2020-07-09 2020-07-10 2020-07-11 2020-07-12 2020-07-13 2020-07-14 2020-07-15
## 1 NaN NA 0 NA 0.5 0 NA
## 2020-07-16 2020-07-17 2020-07-18 2020-07-19 2020-07-20 2020-07-21 2020-07-22
## 1 0 NA 0 NA 1 17 0.4117647
## 2020-07-23 2020-07-24 2020-07-25 2020-07-26 2020-07-27 2020-07-28 2020-07-29
## 1 0.5714286 0.75 0.6666667 1.5 3.666667 1.363636 0.8666667
## 2020-07-30 2020-07-31 2020-08-01 2020-08-02 2020-08-03 2020-08-04 2020-08-05
## 1 3.846154 0.98 0.6530612 0.96875 1 0.6451613 2.25
## 2020-08-06 2020-08-07 2020-08-08 2020-08-09 2020-08-10 2020-08-11 2020-08-12
## 1 0.7333333 1.181818 0.5897436 1.26087 0.2068966 3.166667 0.8947368
## 2020-08-13 2020-08-14 2020-08-15 2020-08-16 2020-08-17 2020-08-18 2020-08-19
## 1 1.647059 0.6785714 1.105263 0.6190476 1.461538 0.3157895 0.8333333
## 2020-08-20 2020-08-21 2020-08-22 2020-08-23 2020-08-24 2020-08-25 2020-08-26
## 1 2.6 0.1538462 2.5 0.4 3 1.166667 0.7142857
## 2020-08-27 2020-08-28 2020-08-29 2020-08-30 2020-08-31 2020-09-01 2020-09-02
## 1 0.4 1 1 0 NA 0 NA
## 2020-09-03 2020-09-04 2020-09-05 2020-09-06 2020-09-07 2020-09-08 2020-09-09
## 1 0 NA 0 NaN NaN NA 1
## 2020-09-10 2020-09-11 2020-09-12 2020-09-13 2020-09-14 2020-09-15 2020-09-16
## 1 0 NA 0 NA 0 NaN NaN
## 2020-09-17 2020-09-18 2020-09-19 2020-09-20 2020-09-21 2020-09-22 2020-09-23
## 1 NA 0.6666667 0 NaN NaN NaN NA
## 2020-09-24 2020-09-25 2020-09-26 2020-09-27 2020-09-28 2020-09-29 2020-09-30
## 1 0 NaN NaN NA 0.6 5.666667 0
## 2020-10-01 2020-10-02 2020-10-03 2020-10-04 2020-10-05 2020-10-06 2020-10-07
## 1 NA 1 0 NaN NA 1 1
## 2020-10-08 2020-10-09 2020-10-10 2020-10-11 2020-10-12 2020-10-13 2020-10-14
## 1 1 5 0.4 1 0.5 3 3
## 2020-10-15 2020-10-16 2020-10-17 2020-10-18 2020-10-19 2020-10-20 2020-10-21
## 1 0.2222222 0 NA 4 0.75 0.1666667 3
## 2020-10-22 2020-10-23 2020-10-24 2020-10-25 2020-10-26 2020-10-27 2020-10-28
## 1 1.333333 0 NA 0.6666667 0.125 3 0.3333333
## 2020-10-29 2020-10-30 2020-10-31 2020-11-01 2020-11-02 2020-11-03 2020-11-04
## 1 4 0 NA 0 NA 0.8333333 0.1
## 2020-11-05 2020-11-06 2020-11-07 2020-11-08 2020-11-09 2020-11-10 2020-11-11
## 1 4 1.25 0.2 0 NA 5.5 2.363636
## 2020-11-12 2020-11-13 2020-11-14 2020-11-15 2020-11-16 2020-11-17 2020-11-18
## 1 0.03846154 3 3 1.777778 0.125 2.5 2.4
## 2020-11-19 2020-11-20 2020-11-21 2020-11-22 2020-11-23 2020-11-24 2020-11-25
## 1 0.3333333 0.25 1 1 5 0.8 1.25
## 2020-11-26 2020-11-27 2020-11-28 2020-11-29 2020-11-30 2020-12-01 2020-12-02
## 1 2 0.8 0.25 1 2 1 1.75
## 2020-12-03 2020-12-04 2020-12-05 2020-12-06 2020-12-07 2020-12-08 2020-12-09
## 1 0.4285714 0 NA 0.25 1 10 0.4
## 2020-12-10 2020-12-11 2020-12-12 2020-12-13 2020-12-14 2020-12-15 2020-12-16
## 1 1 1.5 0.6666667 0.5 2.5 0.6 0
## 2020-12-17 2020-12-18 2020-12-19 2020-12-20 2020-12-21 2020-12-22 2020-12-23
## 1 NA 1.5 0.3333333 2 0.5 6 0.1666667
## 2020-12-24 2020-12-25 2020-12-26 2020-12-27 2020-12-28 2020-12-29 2020-12-30
## 1 11 0.6363636 0.1428571 1 10 0.3 0.6666667
## 2020-12-31 2021-01-01 2021-01-02 2021-01-03 2021-01-04 2021-01-05 2021-01-06
## 1 4.5 1 0.8888889 1.5 0.25 2.333333 0.1428571
## 2021-01-07 2021-01-08 2021-01-09 2021-01-10 2021-01-11 2021-01-12 2021-01-13
## 1 4 0.75 0.3333333 1 1 5 0.2
## 2021-01-14 2021-01-15 2021-01-16 2021-01-17 2021-01-18 2021-01-19 2021-01-20
## 1 10 0.5 0.2 0 NA 0.5 4
## 2021-01-21 2021-01-22 2021-01-23 2021-01-24 2021-01-25 2021-01-26 2021-01-27
## 1 0.5 1 0 NaN NA 2 1
## 2021-01-28 2021-01-29 2021-01-30 2021-01-31 2021-02-01 2021-02-02 2021-02-03
## 1 49 0.06122449 18.33333 0.4545455 0.66 0.969697 2.0625
## 2021-02-04 2021-02-05 2021-02-06 2021-02-07 2021-02-08 2021-02-09 2021-02-10
## 1 0.1363636 2.111111 0.4736842 1.777778 3.0625 0.2857143 1.928571
## 2021-02-11 2021-02-12 2021-02-13 2021-02-14 2021-02-15 2021-02-16 2021-02-17
## 1 1.814815 0.04081633 26.5 0.6226415 1.242424 1.02439 0.4285714
## 2021-02-18 2021-02-19 2021-02-20 2021-02-21 2021-02-22 2021-02-23 2021-02-24
## 1 1 0.8333333 0.4 2.5 0.6 1.222222 0.8181818
## 2021-02-25 2021-02-26 2021-02-27 2021-02-28 2021-03-01 2021-03-02 2021-03-03
## 1 1 0.5555556 1.2 2.666667 0 NA 0.2592593
## 2021-03-04 2021-03-05 2021-03-06 2021-03-07 2021-03-08 2021-03-09 2021-03-10
## 1 0.8571429 1 1.166667 1.571429 1.090909 0.1666667 1.5
## 2021-03-11 2021-03-12 2021-03-13 2021-03-14 2021-03-15 2021-03-16 2021-03-17
## 1 1.333333 4.25 0.1764706 0.3333333 3 1 2.333333
## 2021-03-18 2021-03-19 2021-03-20 2021-03-21 2021-03-22 2021-03-23 2021-03-24
## 1 0.4285714 0.3333333 1 0 NA 0 NA
## 2021-03-25 2021-03-26 2021-03-27 2021-03-28 2021-03-29 2021-03-30 2021-03-31
## 1 3 2.333333 0 NA 0.6 0 NA
## 2021-04-01 2021-04-02 2021-04-03 2021-04-04 2021-04-05 2021-04-06 2021-04-07
## 1 1.555556 0.2142857 2 0.8333333 1.2 1.833333 1
## 2021-04-08 2021-04-09 2021-04-10 2021-04-11 2021-04-12 2021-04-13 2021-04-14
## 1 0.8181818 1.666667 0.6 0.1111111 12 0.75 2.111111
## 2021-04-15 2021-04-16 2021-04-17 2021-04-18 2021-04-19 2021-04-20 2021-04-21
## 1 1.315789 0.56 0.6428571 0.4444444 1.5 1.5 1.333333
## 2021-04-22 2021-04-23 2021-04-24 2021-04-25 2021-04-26 2021-04-27 2021-04-28
## 1 1 0.5 0.5 3.333333 0.9 0.5555556 1.6
## 2021-04-29 2021-04-30 2021-05-01 2021-05-02 2021-05-03 2021-05-04 2021-05-05
## 1 5.625 0.4 0.7777778 1.428571 1.15 0.4347826 3.5
## 2021-05-06 2021-05-07 2021-05-08 2021-05-09 2021-05-10 2021-05-11 2021-05-12
## 1 1.714286 0.7833333 2.297872 1.546296 0.4610778 1.064935 1.060976
## 2021-05-13 2021-05-14 2021-05-15 2021-05-16 2021-05-17 2021-05-18 2021-05-19
## 1 0.9425287 0.9268293 3.894737 0.3378378 1.47 1.040816 1.359477
## 2021-05-20 2021-05-21 2021-05-22 2021-05-23 2021-05-24 2021-05-25 2021-05-26
## 1 0.4278846 1.483146 1.348485 0.8764045 0.8269231 4.085271 0.2941176
## 2021-05-27 2021-05-28 2021-05-29 2021-05-30 2021-05-31 2021-06-01 2021-06-02
## 1 1.741935 0.1481481 12.8 0.3886719 1.633166 0.5938462 1.26943
## NA
## 1 NAMô phỏng về mức độ lây lan virus theo mô hình SIR tại Việt Nam
generate.SIR.model(confirmed_cases,'Vietnam', tot.population=98103872) ## ################################################################################## This is an experimental feature, being currently under active development!## Please check the development version of the package for the latest updates on it## ################################################################################
## Processing... VIETNAM
## [1] 0 2 2 2 2 2 2 2 2 2 6 6 8 8 8
## [16] 10 10 13 13 14 15 15 16 16 16 16 16 16 16 16
## [31] 16 16 16 16 16 16 16 16 16 16 16 16 16 16 16
## [46] 18 30 30 31 38 39 47 53 56 61 66 75 85 91 94
## [61] 113 123 134 141 153 163 174 188 203 212 218 233 237 240 241
## [76] 245 249 251 255 257 258 262 265 266 267 268 268 268 268 268
## [91] 268 268 268 270 270 270 270 270 270 270 270 270 271 271 271
## [106] 271 288 288 288 288 288 288 288 312 314 318 320 324 324 324
## [121] 324 324 325 325 326 327 327 327 328 328 328 328 328 328 328
## [136] 328 329 331 332 332 332 332 333 334 334 334 334 335 342 349
## [151] 349 349 349 349 352 352 353 355 355 355 355 355 355 355 355
## [166] 355 369 369 369 369 370 370 372 373 373 381 381 382 382 383
## [181] 384 401 408 412 415 417 420 431 446 459 509 558 590 621 652
## [196] 672 717 750 789 812 841 847 866 883 911 930 951 964 983 989
## [211] 994 1007 1009 1014 1016 1022 1029 1034 1036 1038 1040 1040 1044 1044 1046
## [226] 1046 1049 1049 1049 1049 1054 1059 1059 1060 1060 1063 1063 1063 1063 1066
## [241] 1068 1068 1068 1068 1068 1069 1069 1069 1069 1074 1077 1094 1094 1095 1096
## [256] 1096 1096 1097 1098 1099 1100 1105 1107 1109 1110 1113 1122 1124 1124 1126
## [271] 1134 1140 1141 1144 1148 1148 1160 1168 1169 1172 1173 1177 1177 1180 1180
## [286] 1192 1202 1203 1207 1212 1213 1213 1215 1226 1252 1253 1256 1265 1281 1283
## [301] 1288 1300 1304 1305 1306 1307 1312 1316 1321 1331 1339 1341 1343 1347 1351
## [316] 1358 1361 1361 1365 1366 1367 1377 1381 1385 1391 1395 1397 1402 1405 1405
## [331] 1407 1410 1411 1413 1414 1420 1421 1432 1439 1440 1441 1451 1454 1456 1465
## [346] 1474 1482 1494 1497 1504 1505 1509 1512 1513 1514 1515 1520 1521 1531 1536
## [361] 1537 1537 1539 1540 1544 1546 1548 1548 1548 1549 1551 1553 1651 1657 1767
## [376] 1817 1850 1882 1948 1957 1976 1985 2001 2050 2064 2091 2140 2142 2195 2228
## [391] 2269 2311 2329 2347 2362 2368 2383 2392 2403 2412 2421 2426 2432 2448 2448
## [406] 2475 2482 2488 2494 2501 2512 2524 2526 2529 2533 2550 2553 2554 2557 2560
## [421] 2567 2570 2571 2572 2572 2575 2575 2576 2579 2586 2586 2591 2594 2594 2603
## [436] 2617 2620 2626 2631 2637 2648 2659 2668 2683 2692 2693 2705 2714 2733 2758
## [451] 2772 2781 2785 2791 2800 2812 2824 2830 2833 2843 2852 2857 2865 2910 2928
## [466] 2942 2962 2985 2995 3030 3090 3137 3245 3412 3489 3571 3658 3740 3816 4112
## [481] 4212 4359 4512 4720 4809 4941 5119 5275 5404 5931 6086 6356 6396 6908 7107
## [496] 7432 7625 7870
## [1] 46
## [1] 18 30 30 31 38 39 47 53 56 61 66 75 85 91 94 113 123 134 141
## [20] 153 163 174 188 203 212 218
## ------------------------ Parameters used to create model ------------------------
## Region: VIETNAM
## Time interval to consider: t0=46 - t1= ; tfinal=90
## t0: 2020-03-08 -- t1:
## Number of days considered for initial guess: 26
## Fatality rate: 0.02
## Population of the region: 98103872
## --------------------------------------------------------------------------------## Loading required package: deSolve## [1] "CONVERGENCE: REL_REDUCTION_OF_F <= FACTR*EPSMCH"
## beta gamma
## 1.000000 0.893821
## R0 = 1.11879229409307
## Max nbr of infected: 188077.32 ( 0.19 %)
## Max nbr of casualties, assuming 2% fatality rate: 3761.55
## Max reached at day : 90 ==> 2020-06-06
## ================================================================================## Warning in xy.coords(x, y, xlabel, ylabel, log = log, recycle = TRUE): 1 y value
## <= 0 omitted from logarithmic plot
## $Infected
## [1] 18 30 30 31 38 39 47 53 56 61 66 75 85 91 94 113 123 134 141
## [20] 153 163 174 188 203 212 218
##
## $model
## time S I R
## 1 1 98103854 18.00000 0.000000e+00
## 2 2 98103835 20.01637 1.697397e+01
## 3 3 98103814 22.25861 3.584937e+01
## 4 4 98103790 24.75203 5.683922e+01
## 5 5 98103764 27.52475 8.018033e+01
## 6 6 98103735 30.60806 1.061361e+02
## 7 7 98103703 34.03675 1.349994e+02
## 8 8 98103667 37.84951 1.670960e+02
## 9 9 98103627 42.08935 2.027880e+02
## 10 10 98103583 46.80411 2.424782e+02
## 11 11 98103533 52.04699 2.866143e+02
## 12 12 98103478 57.87712 3.356944e+02
## 13 13 98103417 64.36030 3.902724e+02
## 14 14 98103349 71.56964 4.509639e+02
## 15 15 98103274 79.58649 5.184537e+02
## 16 16 98103190 88.50127 5.935034e+02
## 17 17 98103097 98.41453 6.769597e+02
## 18 18 98102993 109.43810 7.697641e+02
## 19 19 98102877 121.69630 8.729636e+02
## 20 20 98102749 135.32738 9.877224e+02
## 21 21 98102606 150.48505 1.115335e+03
## 22 22 98102447 167.34024 1.257241e+03
## 23 23 98102271 186.08299 1.415042e+03
## 24 24 98102075 206.92460 1.590516e+03
## 25 25 98101856 230.10003 1.785644e+03
## 26 26 98101614 255.87048 2.002626e+03
## 27 27 98101344 284.52641 2.243908e+03
## 28 28 98101043 316.39070 2.512212e+03
## 29 29 98100710 351.82236 2.810564e+03
## 30 30 98100338 391.22049 3.142326e+03
## 31 31 98099926 435.02882 3.511239e+03
## 32 32 98099467 483.74060 3.921462e+03
## 33 33 98098956 537.90415 4.377618e+03
## 34 34 98098389 598.12902 4.884848e+03
## 35 35 98097758 665.09274 5.448866e+03
## 36 36 98097056 739.54837 6.076027e+03
## 37 37 98096276 822.33295 6.773394e+03
## 38 38 98095409 914.37670 7.548821e+03
## 39 39 98094444 1016.71343 8.411038e+03
## 40 40 98093372 1130.49193 9.369748e+03
## 41 41 98092179 1256.98867 1.043574e+04
## 42 42 98090853 1397.62188 1.162100e+04
## 43 43 98089379 1553.96712 1.293887e+04
## 44 44 98087740 1727.77457 1.440414e+04
## 45 45 98085918 1920.98809 1.603329e+04
## 46 46 98083892 2135.76644 1.784460e+04
## 47 47 98081639 2374.50661 1.985841e+04
## 48 48 98079135 2639.86968 2.209730e+04
## 49 49 98076351 2934.80938 2.458636e+04
## 50 50 98073256 3262.60358 2.735347e+04
## 51 51 98069816 3626.88901 3.042960e+04
## 52 52 98065991 4031.69954 3.384912e+04
## 53 53 98061740 4481.50818 3.765023e+04
## 54 54 98057015 4981.27341 4.187533e+04
## 55 55 98051764 5536.48980 4.657148e+04
## 56 56 98045928 6153.24362 5.179092e+04
## 57 57 98039442 6838.27350 5.759161e+04
## 58 58 98032235 7599.03672 6.403786e+04
## 59 59 98024227 8443.78124 7.120098e+04
## 60 60 98015330 9381.62392 7.916005e+04
## 61 61 98005447 10422.63512 8.800270e+04
## 62 62 97994468 11577.92983 9.782603e+04
## 63 63 97982275 12859.76549 1.087376e+05
## 64 64 97968734 14281.64636 1.208564e+05
## 65 65 97953699 15858.43434 1.343142e+05
## 66 66 97937009 17606.46561 1.492566e+05
## 67 67 97918484 19543.67260 1.658446e+05
## 68 68 97897926 21689.70992 1.842559e+05
## 69 69 97875119 24066.08289 2.046866e+05
## 70 70 97849823 26696.27643 2.273530e+05
## 71 71 97821773 29605.88144 2.524932e+05
## 72 72 97790680 32822.71515 2.803693e+05
## 73 73 97756226 36376.93051 3.112690e+05
## 74 74 97718063 40301.10896 3.455084e+05
## 75 75 97675808 44630.32910 3.834336e+05
## 76 76 97629047 49402.20236 4.254233e+05
## 77 77 97577324 54656.86494 4.718909e+05
## 78 78 97520148 60436.91311 5.232867e+05
## 79 79 97456984 66787.26675 5.801003e+05
## 80 80 97387255 73754.94392 6.428623e+05
## 81 81 97310337 81388.72533 7.121462e+05
## 82 82 97225564 89738.68839 7.885696e+05
## 83 83 97132221 98855.58498 8.727953e+05
## 84 84 97029550 108790.03764 9.655316e+05
## 85 85 96916749 119591.52748 1.067531e+06
## 86 86 96792974 131307.14817 1.179591e+06
## 87 87 96657345 143980.10312 1.302547e+06
## 88 88 96508952 157647.92748 1.437272e+06
## 89 89 96346861 172340.42538 1.584670e+06
## 90 90 96170128 188077.32470 1.745666e+06
##
## $params
## $params$beta
## beta
## 1
##
## $params$gamma
## gamma
## 0.893821
##
## $params$R0
## R0
## 1.118792