Review data from all countries for internal purposes. NOT FOR CIRCULATION.

(last update: 2022-09-27 10:26:55)

Goal of this analysis is to identify major or patterns of data quality issues:
1. Clear errors: results that are impossible (aka “sanity check”)
2. Outliers unexpected outliers - only select indicators
3. Possible errors: probably unlikely results, depending on assumptions - only select indicators

Number of surveys included in this analysis:
* C19CM data are available for 22 surveys from 18 countries.
* CEHS data are available for 26 surveys from 21 countries.
* COMMUNITY data are available for 19 surveys from 17 countries.

See here for implementation results, including sample size information

See note at the end for data source and where to find files, etc.

1. Clear errors

• Simply impossible based on the definition of each indicator.
  
• Likely caused by code errors. But, if so, it should be consistent across all group/grouplabels within a survey. If it is just one off, code may not be the only source of the error.
• If country-specific indicators are flagged, they are excluded from this note, since we do not know exact definitions (e.g., xbed_icu in Kenya C19CM Round 2 or later).

1.1 C19CM

1.1.1. Exceeding range (percent and score indicators)

Results: list of surveys that have outside boundary estimates

survey
GHA_R2
KEN_R2
KEN_R3
PER_R1
SUR_R1

Detailed results: list of surveys and indicator estimates that are outside the boundary

survey	group	grouplabel	xcovid_occ_lastnight	xpcr_capacity	xcovid_occ_lastmonth	staff_pct_covaxany	staff_pct_covaxfull
GHA_R2	Location	Rural	NA	NA	NA	103	103
KEN_R2	All	All	2598	NA	3878	NA	NA
KEN_R2	Level	Level 4	1901	NA	3149	NA	NA
KEN_R2	Level	Level 5	4417	NA	6343	NA	NA
KEN_R2	Level	Level 6	5291	NA	4733	NA	NA
KEN_R2	Location	Rural	2107	NA	2994	NA	NA
KEN_R2	Location	Urban	2888	NA	4401	NA	NA
KEN_R2	Sector	Non-public	4882	NA	5218	NA	NA
KEN_R2	Sector	Public	2125	NA	3601	NA	NA
KEN_R3	Location	Rural	NA	110	NA	NA	NA
PER_R1	All	All	NA	NA	NA	102	NA
PER_R1	Level	Hospital grande	NA	NA	NA	103	NA
PER_R1	Location	Lima Metropolitana	NA	NA	NA	103	NA
PER_R1	Sector	Public	NA	NA	NA	102	NA
SUR_R1	Level	Tertiary	NA	NA	NA	159	153
SUR_R1	Sector	Non-public	NA	NA	NA	248	243

1.1.2. _100 vs. _50

TRUTH: _100 must be lower than _50

Results: list of surveys that have one or more red flags, the indicator pairs (and the number of estimates) that are problematic

Detailed results: list of surveys and indicator pairs that are problematic

survey	group	grouplabel	xsafe_100	xsafe_50
MLI_R1	All	All	88	29
MLI_R1	Level	Hôpitaux	86	25
MLI_R1	Level	Polyclinique	95	50
MLI_R1	Sector	Non-public	88	33
MLI_R1	Sector	Public	88	27

1.1.3. Other More restrictive vs. less restrictive

TRUTH: More restrictive must be lower than less restrictive

• xtrainingsupport_score vs. xtraining_score
  
• xppe_all_score vs. xppe_allsome_score
  
• xequip_all vs. zequip_any

Results: list of surveys that have one or more red flags, the indicator pairs (and the number of estimates) that are problematic

survey	flag_xtraining
AFG_R1	1
GHA_R1	1
GHA_R2	1
LCA_R1	1
MLI_R1	1
NAM_R1	1
PER_R1	6
SUR_R1	1
TCD_R1	3

Results: details

survey	group	grouplabel	xtrainingsupport_score	xtraining_score
AFG_R1	Location	Urban	64	60
GHA_R1	Location	Rural	62	57
GHA_R2	Sector	Non-public	69	64
LCA_R1	All	All	89	80
MLI_R1	Level	Polyclinique	44	40
NAM_R1	Level	Primary/Secondary	78	74
PER_R1	All	All	63	61
PER_R1	Level	Hospital grande	61	59
PER_R1	Level	Hospital mediano	65	62
PER_R1	Location	Lima Metropolitana	57	53
PER_R1	Location	Urban	66	64
PER_R1	Sector	Public	63	61
SUR_R1	Level	Tertiary	87	84
TCD_R1	All	All	48	39
TCD_R1	Level	Tertiary	48	39
TCD_R1	Sector	Public	48	39

1.1.4. Other

• Severe + critical is greater than total beds for COVID: Data entry for the number of beds? or problems in sum across rows?

Results: list of surveys that have one or more red flags

survey	flag_bed1
BDI_R1	1
CMR_R1	1
KEN_R2	1
KEN_R3	1
LBY_R1	1
LCA_R1	1
SEN_R1	1
ZMB_R1	4

Results: list of surveys that have one or more red flags and indicator pairs that are problematic

Results: details

survey	group	grouplabel	ybed_cap_covid_severe	ybed_cap_covid_critical	ybed_cap_covid
BDI_R1	All	All	187	114	206
CMR_R1	Sector	Non-public	25	21	34
KEN_R2	Sector	Non-public	391	74	455
KEN_R3	Level	Level 6	936	91	997
LBY_R1	Location	Rural	64	17	64
LCA_R1	All	All	115	115	130
SEN_R1	All	All	214	255	442
ZMB_R1	All	All	1045	417	1405
ZMB_R1	Level	Tertiary	1024	417	1384
ZMB_R1	Location	Urban	920	345	1208
ZMB_R1	Sector	Public	835	382	1150

1.2 CEHS

1.2.1. Exceeding range (percent and score indicators)

Results: list of surveys that have outside boundary estimates

survey
BDI_R1
CMR_R1
COG_R1
LBY_R1
LCA_R1
MDA_R1
MLI_R1
NAM_R1
PER_R1
PRY_R1
SEN_R1
SUR_R1
SYC_R1
UKR_R1
UKR_R2
VCT_R1
YEM_R1
ZMB_R1
ZMB_R2

Detailed results: list of surveys and indicator estimates that are outside the boundary

survey	group	grouplabel	X	xbedrate	xsafe__hygiene_instructions	xdiagbasic_score	xdiag_score	staff_pct_covaxany	staff_pct_covaxfull
BDI_R1	All	All	NA	116	NA	NA	NA	NA	NA
BDI_R1	Sector	3.2 Privé laic	NA	127	NA	NA	NA	NA	NA
BDI_R1	Sector	3.3 Privé confessionnel	NA	NA	NA	103	103	NA	NA
BDI_R1	Sector	3.4 Associatif	NA	259	NA	NA	NA	NA	NA
BDI_R1	Sector	Public	NA	129	NA	NA	NA	NA	NA
CMR_R1	All	All	NA	252	NA	NA	NA	NA	NA
CMR_R1	Sector	3.1 Publique	NA	296	NA	NA	NA	NA	NA
CMR_R1	Sector	Non-public	NA	205	NA	NA	NA	NA	NA
CMR_R1	Sector	Non-public	NA	209	NA	NA	NA	NA	NA
COG_R1	Level	Secondary	NA	272	NA	NA	NA	NA	NA
COG_R1	Sector	Public	NA	101	NA	NA	NA	NA	NA
LBY_R1	All	All	NA	200	NA	NA	NA	NA	NA
LBY_R1	Level	Primary	NA	200	NA	NA	NA	NA	NA
LBY_R1	Location	Urban	NA	200	NA	NA	NA	NA	NA
LBY_R1	Sector	Public	NA	200	NA	NA	NA	NA	NA
LCA_R1	All	All	108	NA	NA	NA	NA	NA	NA
MDA_R1	All	All	NA	104	NA	NA	NA	NA	NA
MDA_R1	Level	Secondary	NA	106	NA	NA	NA	NA	NA
MDA_R1	Location	Urban	NA	104	NA	NA	NA	NA	NA
MDA_R1	Sector	Public	NA	104	NA	NA	NA	NA	NA
MLI_R1	All	All	NA	111	NA	NA	NA	NA	NA
MLI_R1	Level	CSCOM et assimilés	NA	183	NA	NA	NA	NA	NA
MLI_R1	Location	Rural	NA	118	NA	NA	NA	NA	NA
MLI_R1	Location	Urbain	NA	107	NA	NA	NA	NA	NA
MLI_R1	Sector	Non-public	NA	159	NA	NA	NA	NA	NA
NAM_R1	Level	Secondary	NA	115	NA	NA	NA	NA	NA
NAM_R1	Location	Urban	NA	113	NA	NA	NA	NA	NA
NAM_R1	Sector	Non-public	NA	129	NA	NA	NA	NA	NA
PER_R1	Level	I4 Centro de ateción Primaria con camas de internamiento	101	NA	NA	NA	NA	NA	NA
PER_R1	Location	Lima Metropolitana	102	121	NA	NA	NA	NA	NA
PER_R1	Location	Rural	103	NA	NA	NA	NA	NA	NA
PER_R1	Location	Urban	104	107	NA	NA	NA	NA	NA
PER_R1	Sector	Public	105	NA	NA	NA	NA	NA	NA
PRY_R1	All	All	NA	250	NA	NA	NA	NA	NA
PRY_R1	Level	Primary	NA	250	NA	NA	NA	NA	NA
PRY_R1	Location	Urban	NA	250	NA	NA	NA	NA	NA
PRY_R1	Sector	Public	NA	250	NA	NA	NA	NA	NA
SEN_R1	All	All	106	1596	NA	NA	NA	NA	NA
SUR_R1	All	All	115	NA	NA	NA	NA	104	NA
SUR_R1	Level	Primary	116	NA	NA	NA	NA	149	135
SUR_R1	Level	Secondary	117	NA	NA	NA	NA	NA	NA
SUR_R1	Location		118	NA	NA	NA	NA	NA	NA
SUR_R1	Location	Interior	119	NA	NA	NA	NA	NA	NA
SUR_R1	Location	Rural	120	NA	NA	NA	NA	NA	NA
SUR_R1	Location	Urban	121	NA	NA	NA	NA	111	103
SUR_R1	Sector	Non-public	122	NA	NA	NA	NA	NA	NA
SUR_R1	Sector	Public	123	NA	NA	NA	NA	121	108
SYC_R1	All	All	107	NA	NA	NA	NA	NA	NA
UKR_R1	All	All	124	NA	NA	NA	NA	NA	NA
UKR_R1	Level	Hospitals	125	NA	NA	NA	NA	NA	NA
UKR_R1	Level	Primary	126	NA	101	NA	NA	NA	NA
UKR_R1	Location	Rural	127	NA	NA	NA	NA	NA	NA
UKR_R1	Location	Urban	128	NA	101	NA	NA	NA	NA
UKR_R1	Sector	Non-public	129	NA	NA	NA	NA	NA	NA
UKR_R1	Sector	Public	130	NA	101	NA	NA	NA	NA
UKR_R2	All	All	131	2178	NA	NA	NA	NA	NA
UKR_R2	Level	Hospitals	132	2113	NA	NA	NA	NA	NA
UKR_R2	Level	Primary	133	2615	NA	NA	NA	NA	NA
UKR_R2	Location	Rural	134	5666	NA	NA	NA	NA	NA
UKR_R2	Location	Urban	135	1958	NA	NA	NA	NA	NA
UKR_R2	Sector	Non-public	136	214	NA	NA	NA	NA	NA
UKR_R2	Sector	Public	137	2279	NA	NA	NA	NA	NA
VCT_R1	All	All	109	NA	NA	NA	NA	NA	NA
VCT_R1	Level	Primary	110	NA	NA	NA	NA	NA	NA
VCT_R1	Location	Rural	111	NA	NA	NA	NA	NA	NA
VCT_R1	Location	Urban	112	NA	NA	NA	NA	NA	NA
VCT_R1	Sector	Non-public	113	NA	NA	NA	NA	NA	NA
VCT_R1	Sector	Public	114	NA	NA	NA	NA	NA	NA
YEM_R1	All	All	138	NA	NA	NA	NA	NA	NA
YEM_R1	Level	Primary	139	NA	NA	NA	NA	NA	NA
YEM_R1	Level	Secondary	140	NA	NA	NA	NA	NA	NA
YEM_R1	Location	Rural	141	NA	NA	NA	NA	NA	NA
YEM_R1	Location	Urban	142	NA	NA	NA	NA	NA	NA
YEM_R1	Sector	Non-public	143	NA	NA	NA	NA	NA	NA
YEM_R1	Sector	Public	144	NA	NA	NA	NA	NA	NA
ZMB_R1	All	All	145	NA	NA	NA	NA	NA	NA
ZMB_R1	Level	Primary	146	NA	NA	NA	NA	NA	NA
ZMB_R1	Level	Secondary	147	NA	NA	NA	NA	NA	NA
ZMB_R1	Location	Rural	148	NA	NA	NA	NA	NA	NA
ZMB_R1	Location	Urban	149	NA	NA	NA	NA	NA	NA
ZMB_R1	Sector	Non-public	150	NA	NA	NA	NA	NA	NA
ZMB_R1	Sector	Public	151	NA	NA	NA	NA	NA	NA
ZMB_R2	All	All	152	NA	NA	NA	NA	NA	NA

1.2.2. _100 vs. _50

TRUTH: _100 must be lower than _50

Results: list of surveys that have one or more red flags

Results: details

1.2.3. More restrictive vs. less restrictive

TRUTH: More restrictive must be lower than less restrictive

• xtrainingsupport_score vs. xtraining_score
  
• xppe_all_score vs. xppe_allsome_score
• xdiag_score vs. xdiagbasic_score
  
• xcovax_offerav__pfizer vs. xcovax_offer__pfizer (Pfizer as an example)

Results: list of surveys that have one or more red flags

survey	flag_xtraining
AFG_R1	7
BDI_R1	5
COG_R1	5
GHA_R2	1
KEN_R3	0
LBY_R1	6
LCA_R1	1
MDA_R1	6
PER_R1	7
PRY_R1	5
SEN_R1	1
SUR_R1	8
TCD_R1	1
UKR_R1	6
VCT_R1	5

Results: details

survey	group	grouplabel	xtrainingsupport_score	xtraining_score
AFG_R1	All	All	21	15
AFG_R1	Level	Primary	19	14
AFG_R1	Level	Secondary	38	25
AFG_R1	Location	Rural	11	8
AFG_R1	Location	Urban	42	30
AFG_R1	Sector	Non-public	16	12
AFG_R1	Sector	Public	37	27
BDI_R1	All	All	41	12
BDI_R1	Sector	3.2 Privé laic	28	9
BDI_R1	Sector	3.3 Privé confessionnel	53	15
BDI_R1	Sector	3.4 Associatif	26	9
BDI_R1	Sector	Public	44	12
TCD_R1	Level	Secondary	63	59
COG_R1	All	All	28	21
COG_R1	Level	Primary	27	21
COG_R1	Level	Secondary	38	34
COG_R1	Sector	Non-public	15	12
COG_R1	Sector	Public	44	33
GHA_R2	Sector	Non-public	50	47
LBY_R1	All	All	35	30
LBY_R1	Level	Primary	34	29
LBY_R1	Level	Secondary	78	71
LBY_R1	Location	Rural	27	25
LBY_R1	Location	Urban	40	33
LBY_R1	Sector	Public	35	30
MDA_R1	All	All	89	88
MDA_R1	Level	Secondary	90	88
MDA_R1	Location	Rural	73	72
MDA_R1	Location	Urban	91	90
MDA_R1	Sector	Non-public	74	73
MDA_R1	Sector	Public	91	90
PRY_R1	All	All	57	53
PRY_R1	Level	Primary	57	53
PRY_R1	Location	Rural	57	56
PRY_R1	Location	Urban	57	51
PRY_R1	Sector	Public	58	54
PER_R1	All	All	35	28
PER_R1	Level	I3 Centro de atención Primaria	34	28
PER_R1	Level	I4 Centro de ateción Primaria con camas de internamiento	37	30
PER_R1	Location	Lima Metropolitana	34	28
PER_R1	Location	Rural	29	24
PER_R1	Location	Urban	41	32
PER_R1	Sector	Public	35	28
SEN_R1	All	All	36	28
LCA_R1	All	All	16	11
VCT_R1	All	All	19	10
VCT_R1	Level	Primary	19	10
VCT_R1	Location	Rural	15	10
VCT_R1	Location	Urban	33	14
VCT_R1	Sector	Public	20	11
SUR_R1	All	All	49	40
SUR_R1	Level	Primary	40	36
SUR_R1	Level	Secondary	89	60
SUR_R1	Location	Interior	41	38
SUR_R1	Location	Rural	29	27
SUR_R1	Location	Urban	63	49
SUR_R1	Sector	Non-public	40	33
SUR_R1	Sector	Public	68	56
UKR_R1	All	All	82	78
UKR_R1	Level	Hospitals	77	75
UKR_R1	Level	Primary	83	78
UKR_R1	Location	Rural	73	68
UKR_R1	Location	Urban	83	78
UKR_R1	Sector	Public	85	80

survey	group	grouplabel	xdiag_score	xdiagbasic_score
AFG_R1	All	All	49	48
AFG_R1	Level	Secondary	93	89
AFG_R1	Location	Urban	72	70
AFG_R1	Sector	Public	63	61
TCD_R1	Level	Secondary	84	82
TCD_R1	Sector	Public	46	45
MDA_R1	All	All	65	56
MDA_R1	Level	Secondary	74	54
MDA_R1	Location	Urban	68	57
MDA_R1	Sector	Public	69	58
PER_R1	All	All	71	64
PER_R1	Level	I3 Centro de atención Primaria	70	63
PER_R1	Level	I4 Centro de ateción Primaria con camas de internamiento	78	66
PER_R1	Location	Lima Metropolitana	70	61
PER_R1	Location	Rural	69	62
PER_R1	Location	Urban	74	68
PER_R1	Sector	Public	71	64
UKR_R1	All	All	73	60
UKR_R1	Level	Hospitals	69	65
UKR_R1	Level	Primary	74	59
UKR_R1	Location	Rural	69	56
UKR_R1	Location	Urban	73	60
UKR_R1	Sector	Non-public	64	57
UKR_R1	Sector	Public	74	60

survey	group	grouplabel	xcovax_offerav__pfizer	xcovax_offer__pfizer
KEN_R3	All	All	41	8
KEN_R3	Level	Level 2-3	33	7
KEN_R3	Level	Level 4	46	8
KEN_R3	Location	Rural	33	12
KEN_R3	Location	Urban	48	3
KEN_R3	Sector	Non-public	67	0
KEN_R3	Sector	Public	39	8

1.3 Community

1.3.1. Exceeding range (percent and score indicators)

Results: Number of surveys/indicators that have outside boundary estimates [1] 0

Results: list of surveys that have outside boundary estimates

Detailed results: list of surveys and indicator estimates that are outside the boundary

1.3.2. Unmet need

Aggregate unmet need indicators tend to have errors. For example:

1. xunmetmost_group + xunmetsome_group != xunmetsomemost_group
   
2. xunmetmost_group + xunmetsome_group >100
   
3. xunmetmost_group is smaller than minimum of individual detailed xunmetmost__item

1.3.2.1.

Results: Number of surveys/indicators that have a problem in aggregated unmet need indicators: `xunmetmost_group` + `xunmetsome_group` != `xunmetsomemost_group` [1] 0

1.3.2.2.

Results: Number of surveys/indicators that have a problem in aggregated unmet need indicators: `xunmetmost_group` + `xunmetsome_group` >100 [1] 0

1.3.2.3.

Results: list of surveys that have a problem in aggregated unmet need indicators: `xunmetmost_group` is smaller than minimum of individual detailed `xunmetmost__item`

survey
GHA_R2

Detailed results: list of surveys and indicator estimates with errors

survey	group	grouplabel	xunmetmost_rmch	xunmetmost__fp	xunmetmost__anc	xunmetmost__sba	xunmetmost__immun
GHA_R2	All	All	1	8	3	17	3

survey	group	grouplabel	xunmetmost_chronic	xunmetmost__chronicmeds	xunmetmost__testing
GHA_R2	All	All	19	27	35
GHA_R2	Location	1.1 Rural	9	20	27
GHA_R2	Location	1.2 Urban	23	30	38

2. Outliers

• Outliers exist by default, but likely in a cluster of countries (with weak systems). Check if they exist in unexpected countries. Or, check if estimates seem too odd.
  
• Analysis includes all national estimates (regardless of the sample size), and any sub-national estimates that have 30 or more observations.

2.1. C19CM

Detailed results: list of outliers: survey, indicator, estimates

survey	grouplabel	obs	indicator	estimate
AFG_R1	All	5	xppe_allsome_score	80
BDI_R1	All	65	xtraining_score	23
BDI_R1	All	65	xtrainingsupport_score	21
BDI_R1	All	65	xguideline_score	69
BDI_R1	All	65	xppe_allsome_score	74
BDI_R1	All	65	xspcmitem_score	35
CMR_R1	All	60	xequip_allfunction_score	40
CMR_R1	Public	56	xequip_allfunction_score	38
COG_R1	All	33	xtraining_score	24
COG_R1	All	33	xtrainingsupport_score	22
COG_R1	All	33	xsupp_score	76
COG_R1	All	33	xguideline_score	68
COG_R1	All	33	xppe_allsome_score	64
COG_R1	All	33	xipcitem_score	62
COG_R1	All	33	xxipcitem_score	69
LBY_R1	All	10	xtraining_score	26
LBY_R1	All	10	xtrainingsupport_score	19
LBY_R1	All	10	xguideline_score	65
LBY_R1	All	10	xspcmitem_score	30
LCA_R1	All	1	xtrainingsupport_score	89
LCA_R1	All	1	xppe_allsome_score	0
LCA_R1	All	1	xppe_all_score	0
LCA_R1	All	1	xequip_allfunction_score	100
LCA_R1	All	1	xxppe_all_score	0
MLI_R1	All	14	xtraining_score	30
MLI_R1	All	14	xtrainingsupport_score	24
PRY_R1	All	20	xtraining_score	93
PRY_R1	All	20	xtrainingsupport_score	93
SUR_R1	All	9	xtrainingsupport_score	78
TCD_R1	All	3	xtraining_score	39
TCD_R1	All	3	xtrainingsupport_score	48
VCT_R1	All	1	xtraining_score	100
VCT_R1	All	1	xtrainingsupport_score	100
VCT_R1	All	1	xequip_allfunction_score	100

2.2. CEHS

Detailed results: list of outliers: survey, indicator, estimates

survey	grouplabel	obs	indicator	estimate
COG_R1	Non-public	87	xsupp_score	56
GHA_R2	Secondary Facility	38	xcvd_pt_score	0
KEN_R2	Public	82	xsupp_score	35
KEN_R2	Rural	68	xsupp_score	56
KEN_R2	Urban	38	xsupp_score	15
KEN_R3	All	93	xsupp_score	49
KEN_R3	Level 4	40	xsupp_score	0
KEN_R3	Public	86	xsupp_score	50
KEN_R3	Urban	37	xsupp_score	23
MDA_R1	All	99	xtrainingsupport_score	89
MDA_R1	Primary	50	xtrainingsupport_score	88
MDA_R1	Public	89	xtrainingsupport_score	91
MDA_R1	Secondary	49	xtrainingsupport_score	90
MDA_R1	Secondary	49	xvac_score	20
MDA_R1	Urban	90	xtrainingsupport_score	91
PRY_R1	All	70	xdiagbasic_score	1
PRY_R1	All	70	xdiag_score	1
PRY_R1	Primary	70	xdiagbasic_score	1
PRY_R1	Primary	70	xdiag_score	1
PRY_R1	Public	68	xdiagbasic_score	1
PRY_R1	Public	68	xdiag_score	1
PRY_R1	Rural	34	xdiagbasic_score	1
PRY_R1	Rural	34	xdiag_score	1
PRY_R1	Urban	36	xdiagbasic_score	1
PRY_R1	Urban	36	xdiag_score	1
UKR_R1	All	250	xtrainingsupport_score	82
UKR_R1	Primary	214	xtrainingsupport_score	83
UKR_R1	Public	225	xtrainingsupport_score	85
UKR_R1	Urban	233	xtrainingsupport_score	83
ZMB_R1	All	242	xsupp_score	51
ZMB_R1	Primary	212	xsupp_score	48
ZMB_R1	Public	213	xsupp_score	48
ZMB_R1	Rural	104	xsupp_score	48
ZMB_R1	Urban	138	xsupp_score	53
ZMB_R2	All	248	xsupp_score	56

2.3. Community

Detailed results: list of outliers: survey, indicator, estimates

survey	grouplabel	obs	indicator	estimate
LBY_R1	1.2 Urban	43	xbar_covid_admin	44
LBY_R1	All	50	xbar_covid_admin	40
PER_R1	All	36	xbar_covid_rec	39
PER_R1	All	36	xbar_covid_info	39
PER_R1	All	36	xbar_covid_admin	86
PER_R1	All	36	xbar_covid_qinput	53
PER_R1	All	36	xbar_covid_qexp	58
SUR_R1	All	20	xbar_covid_info	45
SUR_R1	All	20	xbar_covid_admin	45

Results: details

survey	grouplabel	obs	indicator	estimate
CMR_R1	All	34	xvac_reason_exposure	26
CMR_R1	All	34	xvac_child_mostsome	3
LCA_R1	All	15	xvac_noaccess	7
VCT_R1	All	5	xvac_reason_antivac	100
VCT_R1	All	5	xvac_reason_time	20
YEM_R1	1.1 Rural	52	xvac_noaccess_reason__other	8
YEM_R1	1.2 Urban	44	xvac_noaccess_reason__eligible	4
YEM_R1	1.2 Urban	44	xvac_noaccess_reason_eligible	4

3. Possible errors

• This requires subject and context knowledge. Still attempting some plausibility check based on observed patterns across surveys/analysis domains: is this result in a survey “very” different from that in other surveys?
  
• Screening/assessment is restricted to estimates that have ‘sufficient’ sample size (i.e., denominator >=30 per analysis domain, including national).

3.1. C19CM

C19CM: Staff infection

ASSUMPTION: staff infection is higher among clinical staff than non-clinical staff

Results: details

survey	grouplabel	staff_num_total_clinical	staff_pct_covid_clinical	staff_num_total_nonclinical	staff_pct_covid_nonclinical
KEN_R3	Level 6	3790	4.6	34	17.6
KEN_R3	Non-public	3273	1.6	30	3.3
LBY_R1	All	12314	23.2	2877	31.4
LBY_R1	Hospital	12285	23.2	2866	31.5
LBY_R1	Urban	11266	23.7	2688	32.3
LBY_R1	Public	12314	23.2	2877	31.4
SEN_R1	All	1194	0.3	389	0.8
SUR_R1	All	566	12.4	83	20.5
SUR_R1	Primary/Secondary	374	6.4	83	20.5
SUR_R1	Urban	566	12.4	83	20.5
SUR_R1	Public	367	15.0	83	20.5

C19CM: Associations among commodities: medicines, IPC items, and PPE

ASSUMPTION: commodity related scores are correlated. If a country-cluster estimates are outliers, check validity.

3.2. CEHS

CEHS: staff infection

ASSUMPTION: staff infection rates are correlated among clinical staff and non-clinical staff.

Results: details

survey	grouplabel	staff_num_total_clinical	staff_pct_covid_clinical	staff_num_total_nonclinical	staff_pct_covid_nonclinical
AFG_R1	Secondary	2981.0000	5.6	1776.0000	13.0
AFG_R1	Public	2687.0000	6.7	1608.0000	14.6
CMR_R1	3.1 Publique	477.0000	9.0	304.0000	11.8
TCD_R1	All	1314.0000	3.2	791.0000	4.7
TCD_R1	Primary	909.0000	4.6	643.0000	5.8
TCD_R1	Rural	97.0000	4.1	58.0000	5.2
TCD_R1	Urban	1217.0000	3.1	733.0000	4.6
TCD_R1	Public	942.0000	3.4	641.0000	5.0
COG_R1	Primary	828.0000	1.1	216.0000	1.4
GHA_R2	Primary Facility	1669.0000	1.7	426.0000	2.3
KEN_R1	Rural	2551.0000	2.1	677.0000	2.8
KEN_R1	Non-public	1496.0000	2.2	746.0000	3.5
MDA_R1	Rural	159.0000	5.0	40.0000	7.5
PRY_R1	All	326.0000	2.1	200.0000	3.5
PRY_R1	Primary	326.0000	2.1	200.0000	3.5
PRY_R1	Public	312.0000	1.9	191.0000	3.1
SYC_R1	All	1600.0000	2.0	176.0000	4.5
SUR_R1	All	845.0000	14.2	181.0000	55.2
SUR_R1	Primary	328.0000	12.2	181.0000	55.2
SUR_R1	Urban	778.0000	13.6	127.0000	70.1
SUR_R1	Non-public	435.0000	11.0	63.0000	15.9
SUR_R1	Public	410.0000	17.6	118.0000	76.3
UKR_R2	Non-public	899.2562	1.6	166.0469	5.3

But, what if the assumption is not correct? See example fitted lines based on regression models. Not saying these relationships are correct, but just to demostrate that it's a judgement call.  

CEHS: COVID testing

ASSUMPTION: RDT is more available than PCR test among EHS facilities

Results: details

survey	grouplabel	obs	xcvd_test_pcr	xcvd_test_rdt
AFG_R1	Public	21	33	14
BDI_R1	3.4 Associatif	9	11	0
TCD_R1	All	191	2	1
TCD_R1	Primary	178	2	1
TCD_R1	Urban	164	2	1
TCD_R1	Public	157	2	1
GHA_R2	All	146	1	0
GHA_R2	Primary Facility	108	1	0
GHA_R2	Urban	73	3	0
GHA_R2	Non-public	18	10	0
KEN_R1	All	91	5	2
KEN_R1	Level 4-6	47	11	4
KEN_R1	Urban	33	15	6
KEN_R1	Non-public	24	8	4
KEN_R1	Public	67	4	1
LBY_R1	Urban	24	21	13
NAM_R1	Primary	106	8	6
NAM_R1	Urban	53	12	9
NAM_R1	Public	97	7	4
PRY_R1	All	70	3	1
PRY_R1	Primary	70	3	1
PRY_R1	Rural	34	3	0
PRY_R1	Non-public	2	50	0
PER_R1	Lima Metropolitana	36	19	11
SYC_R1	All	34	56	6
VCT_R1	Urban	3	67	33
YEM_R1	Primary	9	19	7
YEM_R1	Non-public	7	14	10

3.2. Community

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Note:
* Indicator estimates from multiple surveys are combined/appended and then saved in one Excel file as well as multiple Stata data files in the sharepoint: “/BANICA, Sorin - HSA unit/4 Databases, analyses & dashboards/2 HFAs for COVID-19/HFA database/1 Database”
* This analysis uses the Stata data files (downloaded as of 2022-07-26 17:41:00). Analysis code will be saved in the sharepoint:”/BANICA, Sorin - HSA unit/4 Databases, analyses & dashboards/2 HFAs for COVID-19/HFA database/2 Analysis files”