Package: surveyPrev 2.0.0

Qianyu Dong

surveyPrev: Mapping the Prevalence of Binary Indicators using Survey Data in Small Areas

Provides a pipeline to perform small area estimation and prevalence mapping of binary indicators using health and demographic survey data, described in Dong et al. (2026) <doi:10.1093/jssam/smaf048>, Wakefield et al. (2025) <doi:10.48550/arXiv.2110.09576> and Wakefield et al. (2020) <doi:10.1111/insr.12400>.

Authors:Qianyu Dong [cre, aut], Zehang R Li [aut], Yunhan Wu [aut], Jieyi Xu [aut], Andrea Boskovic [aut], Jon Wakefield [aut]

surveyPrev_2.0.0.tar.gz
surveyPrev_2.0.0.zip(r-4.7)surveyPrev_2.0.0.zip(r-4.6)surveyPrev_2.0.0.zip(r-4.5)
surveyPrev_2.0.0.tgz(r-4.6-any)surveyPrev_2.0.0.tgz(r-4.5-any)
surveyPrev_2.0.0.tar.gz(r-4.7-any)surveyPrev_2.0.0.tar.gz(r-4.6-any)
surveyPrev_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
surveyPrev/json (API)

# Install 'surveyPrev' in R:
install.packages('surveyPrev', repos = c('https://richardli.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/richardli/surveyprev/issues

Datasets:

On CRAN:

Conda:

7.49 score 3 stars 1 packages 52 scripts 273 downloads 215 exports 136 dependencies

Last updated from:661dc83025. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK374
source / vignettesOK343
linux-release-x86_64OK386
macos-release-arm64OK210
macos-oldrel-arm64OK205
windows-develOK367
windows-releaseOK299
windows-oldrelOK324
wasm-releaseOK182

Exports:addNewIndicatoraddUpperadminInfoaggPopulationaggSurveyWeightAH_TOBC_W_OTHAH_TOBU_M_ASMAH_TOBU_M_SNNAH_TOBU_W_SNMAH_TOBU_W_SNNAN_ANEM_W_ANYAN_NUTS_W_OVWAN_NUTS_W_THNCH_ARIS_C_ADVCH_DIAT_C_ABICH_DIAT_C_ADVCH_DIAT_C_AMOCH_DIAT_C_NOTCH_DIAT_C_ORSCH_DIAT_C_ORTCH_DIAT_C_OSICH_DIAT_C_RHFCH_DIFP_C_FALCH_FEVR_C_FEVCH_FEVT_C_ADVCH_SZWT_C_L25CH_VACC_C_BASCH_VACC_C_BCGCH_VACC_C_DP1CH_VACC_C_DP3CH_VACC_C_MSLCH_VACC_C_NONCH_VACC_C_PN3CH_VACC_C_RT1CH_VACS_C_PN3clusterInfoclusterModelCM_ECMR_C_IMFCM_ECMR_C_IMRCM_ECMR_C_NNFCM_ECMR_C_NNRCM_ECMR_C_U5FCM_ECMR_C_U5MCN_ANMC_C_ANYCN_BRFI_C_EVRCN_BRFS_C_EXBCN_IYCF_C_4FACN_NUTS_C_HA2CN_NUTS_C_HA3CN_NUTS_C_WA2CN_NUTS_C_WA3CN_NUTS_C_WAPCN_NUTS_C_WH2CN_NUTS_C_WH3CN_NUTS_C_WHPCO_INUS_W_EVUCO_INUS_W_U12CO_MOBB_W_BNKCO_MOBB_W_MBFCO_MOBB_W_MOBCP_BREG_C_CRTCP_BREG_C_NCTCP_BREG_C_REGdatainfodirectESTdirectEST_varfixDV_AFSV_W_A10DV_AFSV_W_A12DV_EXPV_W_12MDV_EXSV_W_12MDV_EXSV_W_EVRDV_PCPV_W_CBFDV_PCPV_W_CHDDV_PCPV_W_EMPDV_PCPV_W_FLWDV_PCPV_W_OLWDV_STPS_W_BFRDV_VPRG_W_VPGED_EDUC_W_SEHED_LITR_W_LITED_MDIA_W_3MDED_MDIA_W_N3MED_MDIA_W_NWSED_MDIA_W_RDOED_MDIA_W_TLVEM_EMPM_W_EMPexceedPlotFG_KFCC_W_HFCFG_PFCC_W_WCCfhModelFP_CUSA_W_ANYFP_CUSA_W_EMCFP_CUSA_W_FCNFP_CUSA_W_FSTFP_CUSA_W_IMPFP_CUSA_W_INJFP_CUSA_W_IUDFP_CUSA_W_MCNFP_CUSA_W_MODFP_CUSA_W_MSTFP_CUSA_W_PILFP_CUSA_W_STDFP_CUSA_W_TRAFP_CUSA_W_WTHFP_CUSM_W_MODFP_EFPM_M_NWSFP_EFPM_M_TLVFP_EFPM_W_NWSFP_EFPM_W_RDOFP_EFPM_W_TLVFP_EVUM_W_MODFP_KMTA_W_ANYFP_KMTA_W_EMCFP_KMTA_W_FCNFP_KMTA_W_FSTFP_KMTA_W_IMPFP_KMTA_W_INJFP_KMTA_W_IUDFP_KMTA_W_MSTFP_KMTA_W_OMDFP_KMTA_W_PILFP_KMTA_W_STDFP_KMTA_W_TRAFP_KMTA_W_WTHFP_NADA_W_UNTFP_NADM_W_PDMFP_NADM_W_UNTFP_NDYA_W_PDMget_api_tableget_geoBoundariesgetCovariategetDHSdatagetDHSgeogetDHSindicatorgetURHA_AFSY_M_A15HA_AFSY_M_A18HA_AFSY_W_A18HA_ANSS_M_CNDHA_ANSS_W_CNDHA_ANSS_W_RSXHA_CATH_W_ATNHA_CATH_W_NRSHA_HIVP_B_HIVHA_HRSX_W_CNDHA_HVST_M_HRDHA_HVST_M_USDHA_HVTY_M_TRRHA_HVTY_W_TRRHA_KAID_W_HRDHA_STIS_M_DISHA_STIS_M_SORHA_STIS_W_STIHC_AGEG_P_ADLHC_ELEC_H_ELCHC_FLRM_H_CERHC_HEFF_H_RDOHC_WIXQ_P_12QHC_WIXQ_P_2NDHC_WIXQ_P_LOWintervalPlotMA_CWIV_W_CWVMA_MBAG_W_B15MA_MBAG_W_B18MA_MBAY_W_B15MA_MBAY_W_B18MA_MSTA_W_NMAML_NETC_C_ITNML_NETP_H_IT2ML_NETU_P_ITNML_PMAL_C_RDTPR_DESL_W_WNMprevMapprevMap.webrankPlotRH_ANCN_W_N01RH_ANCN_W_N4FRH_ANCN_W_N4PRH_ANCN_W_NONRH_DELA_C_SKFRH_DELA_C_SKPRH_DELP_C_DHFRH_DELP_C_DHTRH_DELP_C_HOMRH_DELP_C_HOTRH_DELP_C_PRTRH_DELP_C_PRVRH_DELP_C_PUBRH_DELP_C_PUTRH_PAHC_W_DISRH_PAHC_W_MONRH_PAHC_W_PRMRH_PCCT_C_DY2RH_PCMT_W_DY2RH_PCMT_W_NONridgeprevPlotscatterPlotscatterPlot.webWE_AWBT_M_ARGWE_AWBT_M_BFDWE_AWBT_M_OUTWE_AWBT_M_REFWE_AWBT_W_ARGWE_AWBT_W_BFDWE_AWBT_W_NEGWE_AWBT_W_OUTWE_AWBT_W_REFWS_SRCE_H_USGWS_SRCE_P_BASWS_TLET_H_IMPWS_TLET_P_BASWS_WTRT_P_BLCWS_WTRT_P_BOLWS_WTRT_P_SOLWS_WTRT_P_STN

Dependencies:askpassbackportsbase64encbitbit64bootbriobslibcachemcheckmateclassclassIntclicliprcpp11crayoncurldata.tabledatawizardDBIdeldirdigestdotCall64dplyre1071evaluateexpssfarverfastmapfieldsfontawesomefontBitstreamVerafontLiberationfontquiverforcatsforeignfsgdtoolsgenericsgetPassggiraphggplot2ggridgesgluegridExtragtablehavenhighrhmshtmlTablehtmltoolshtmlwidgetshttrinsightiotoolsisobandjquerylibjsonliteKernSmoothknitrlabelinglabelledlatticelifecyclemaditrmagrittrmapsMASSMatrixmatrixStatsmemoisemimeminqamitoolsnaniarnormnumDerivopensslpillarpkgconfigplyrprettyunitsprogressproxypurrrqdapRegexR6rappdirsrasterRColorBrewerRcppRcppArmadillordhsreadrreshape2rlangrmarkdownrstudioapis2S7sassscalessfshadowtextsjlabelledspspamspDataspdepstorrstringistringrSUMMERsurveysurvivalsyssystemfontsterratibbletidyrtidyselecttinytextzdbunitsUpSetRutf8vctrsviridisviridisLitevisdatvroomwithrwkxfunxml2yaml

Prevalence mapping using DHS data
Rendered fromvignette-main.html.asisusingR.rsp::asis

Last update: 2024-03-20
Started: 2024-03-20

Create customized indicators
Rendered fromvignette-data-preparation.html.asisusingR.rsp::asis

Last update: 2024-03-20
Started: 2024-03-05

Readme and manuals

Help Manual

Help pageTopics
Create new row to add in indicatorList.addNewIndicator
Attach upper-level admin names to lower-level polygonsaddUpper
Get admin informationadminInfo
Get population informationaggPopulation
Get survey weight by admin levelsaggSurveyWeight
AH_TOBC_W_OTHAH_TOBC_W_OTH
AH_TOBU_M_ASMAH_TOBU_M_ASM
AH_TOBU_M_SNNAH_TOBU_M_SNN
AH_TOBU_W_SNMAH_TOBU_W_SNM
AH_TOBU_W_SNNAH_TOBU_W_SNN
AN_ANEM_W_ANY IRdata Percentage of women aged 15-49 classified as having any anemiaAN_ANEM_W_ANY
AN_NUTS_W_OVW Women who are overweight according to BMI (25.0-29.9) nt_wm_ovwt in github IRAN_NUTS_W_OVW
AN_NUTS_W_THN IRdata Women who are thin according to BMI (<18.5)AN_NUTS_W_THN
CH_ARIS_C_ADV Children with ARI for whom advice or treatment was sought; ch_ari_care in github KRCH_ARIS_C_ADV
CH_DIAT_C_ABICH_DIAT_C_ABI
CH_DIAT_C_ADV Treatment of diarrhea: Advice or treatment was sought; ch_diar_care in github KRCH_DIAT_C_ADV
CH_DIAT_C_AMOCH_DIAT_C_AMO
CH_DIAT_C_NOTCH_DIAT_C_NOT
CH_DIAT_C_ORSCH_DIAT_C_ORS
CH_DIAT_C_ORTCH_DIAT_C_ORT
CH_DIAT_C_OSICH_DIAT_C_OSI
CH_DIAT_C_RHFCH_DIAT_C_RHF
CH_DIFP_C_FALCH_DIFP_C_FAL
CH_FEVR_C_FEVCH_FEVR_C_FEV
CH_FEVT_C_ADV Children with fever for whom advice or treatment was sought ch_fev_care in github ml_fev_care should produce the same data KRCH_FEVT_C_ADV
CH_SZWT_C_L25CH_SZWT_C_L25
CH_VACC_C_BAS KRdata Children with all 8 basic vaccinations (age 12-23)CH_VACC_C_BAS
CH_VACC_C_BCG Percentage of children 12-23 months who had received BCG vaccination ms_afm_15 in github KRCH_VACC_C_BCG
CH_VACC_C_DP1 KRdata Pentavalent 1st dose vaccination Percentage of children (age 12-23) with 1st dose of Pentavalent vaccineCH_VACC_C_DP1
CH_VACC_C_DP3 KRdata Pentavalent 3rd dose vaccination Percentage of children (age 12-23) with 3rd dose of Pentavalent vaccineCH_VACC_C_DP3
CH_VACC_C_MSL KRdata Measles vaccination received Percentage of children (age 12-23)CH_VACC_C_MSL
CH_VACC_C_NON KRdata Children with no vaccinations (age 12-23)CH_VACC_C_NON
CH_VACC_C_PN3 KRdata Pneumococcal 3rd dose vaccination Percentage of children (age 12-23)CH_VACC_C_PN3
CH_VACC_C_RT1 KRdata Rotavirus 1 vaccination receivedCH_VACC_C_RT1
CH_VACS_C_PN3 KRdata Pneumococcal 3 vaccination receivedCH_VACS_C_PN3
Get cluster informationclusterInfo
Calculate cluster model estimates using beta binomial modelclusterModel
Calculate cluster model estimates using beta binomial model for U5MRclusterModel_u5mr
CM_ECMR_C_IMF imr 5 years prior to survey.CM_ECMR_C_IMF
CM_ECMR_C_IMR imr 10 years prior to survey.CM_ECMR_C_IMR
CM_ECMR_C_NNF NMR five years prior to survey.CM_ECMR_C_NNF
CM_ECMR_C_NNR BRdata Neonatal mortality rateCM_ECMR_C_NNR
CM_ECMR_C_U5F u5mr 5 years prior to survey.CM_ECMR_C_U5F
CM_ECMR_C_U5M u5mr 10 years prior to survey.CM_ECMR_C_U5M
CN_ANMC_C_ANY PRdata Children with any anemia Children under five with any anemiaCN_ANMC_C_ANY
CN_BRFI_C_EVRCN_BRFI_C_EVR
CN_BRFS_C_EXB KRdata Children exclusively breastfed Prevalence of exclusive breastfeeding of children under six months of ageCN_BRFS_C_EXB
CN_IYCF_C_4FA Percentage of children age 6-23 months fed five or more food groups. The food groups are a. breastmilk b. infant formula, milk other than breast milk, cheese or yogurt or other milk products; c. foods made from grains, roots, and tubers, including porridge and fortified baby food from grains; d. vitamin A-rich fruits and vegetables (and red palm oil); e. other fruits and vegetables; f. eggs; g. meat, poultry, fish, and shellfish (and organ meats); h. legumes and nuts. nt_mdd in github KRCN_IYCF_C_4FA
CN_NUTS_C_HA2CN_NUTS_C_HA2
CN_NUTS_C_HA3CN_NUTS_C_HA3
CN_NUTS_C_WA2CN_NUTS_C_WA2
CN_NUTS_C_WA3CN_NUTS_C_WA3
CN_NUTS_C_WAPCN_NUTS_C_WAP
CN_NUTS_C_WH2CN_NUTS_C_WH2
CN_NUTS_C_WH3CN_NUTS_C_WH3
CN_NUTS_C_WHPCN_NUTS_C_WHP
CO_INUS_W_EVUCO_INUS_W_EVU
CO_INUS_W_U12CO_INUS_W_U12
CO_MOBB_W_BNKCO_MOBB_W_BNK
CO_MOBB_W_MBFCO_MOBB_W_MBF
CO_MOBB_W_MOBCO_MOBB_W_MOB
CP_BREG_C_CRTCP_BREG_C_CRT
CP_BREG_C_NCTCP_BREG_C_NCT
CP_BREG_C_REGCP_BREG_C_REG
Summarize Sample and Event Information by Administrative Leveldatainfo
Calculate direct estimatesdirectEST
Helper function for the U5MR direct estimationdirectEST_u5mr
Calculate direct estimatesdirectEST_varfix
DV_AFSV_W_A10DV_AFSV_W_A10
DV_AFSV_W_A12DV_AFSV_W_A12
DV_EXPV_W_12M Percentage of women who have experienced physical violence in the past 12 months often or sometimes dv_phy_12m in github IRDV_EXPV_W_12M
DV_EXSV_W_12M Percentage of women who ever experienced sexual violence dv_sex_12m in github IRDV_EXSV_W_12M
DV_EXSV_W_EVR Percentage of women who ever experienced sexual violence dv_sex in github IRDV_EXSV_W_EVR
DV_PCPV_W_CBFDV_PCPV_W_CBF
DV_PCPV_W_CHDDV_PCPV_W_CHD
DV_PCPV_W_EMPDV_PCPV_W_EMP
DV_PCPV_W_FLWDV_PCPV_W_FLW
DV_PCPV_W_OLWDV_PCPV_W_OLW
DV_STPS_W_BFRDV_STPS_W_BFR
DV_VPRG_W_VPGDV_VPRG_W_VPG
ED_EDUC_W_SEH IRdata Percentage of women with secondary or higher educationED_EDUC_W_SEH
ED_LITR_W_LITED_LITR_W_LIT
ED_MDIA_W_3MDED_MDIA_W_3MD
ED_MDIA_W_N3MED_MDIA_W_N3M
ED_MDIA_W_NWSED_MDIA_W_NWS
ED_MDIA_W_RDOED_MDIA_W_RDO
ED_MDIA_W_TLVED_MDIA_W_TLV
EM_EMPM_W_EMPEM_EMPM_W_EMP
Plot exceedance probability of model resultsexceedPlot
FG_KFCC_W_HFC IRdata Percentage of women who have ever heard of female circumcisionFG_KFCC_W_HFC
FG_PFCC_W_WCC IRdata Percentage of women circumcised (women who experienced female genital cutting (FGM))FG_PFCC_W_WCC
Calculate smoothed direct estimatesfhModel
FP_CUSA_W_ANYFP_CUSA_W_ANY
FP_CUSA_W_EMCFP_CUSA_W_EMC
FP_CUSA_W_FCNFP_CUSA_W_FCN
FP_CUSA_W_FSTFP_CUSA_W_FST
FP_CUSA_W_IMPFP_CUSA_W_IMP
FP_CUSA_W_INJFP_CUSA_W_INJ
FP_CUSA_W_IUDFP_CUSA_W_IUD
FP_CUSA_W_MCNFP_CUSA_W_MCN
FP_CUSA_W_MOD IRdata Modern contraceptive prevalence rate (women currently using any modern method of contraception)FP_CUSA_W_MOD
FP_CUSA_W_MSTFP_CUSA_W_MST
FP_CUSA_W_PILFP_CUSA_W_PIL
FP_CUSA_W_STDFP_CUSA_W_STD
FP_CUSA_W_TRAFP_CUSA_W_TRA
FP_CUSA_W_WTHFP_CUSA_W_WTH
FP_CUSM_W_MOD IRdata Modern contraceptive prevalence rate (Married women currently using any modern method of contraception)FP_CUSM_W_MOD
FP_EFPM_M_NWSFP_EFPM_M_NWS
FP_EFPM_M_TLVFP_EFPM_M_TLV
FP_EFPM_W_NWSFP_EFPM_W_NWS
FP_EFPM_W_RDOFP_EFPM_W_RDO
FP_EFPM_W_TLVFP_EFPM_W_TLV
FP_EVUM_W_MODFP_EVUM_W_MOD
FP_KMTA_W_ANYFP_KMTA_W_ANY
FP_KMTA_W_EMCFP_KMTA_W_EMC
FP_KMTA_W_FCNFP_KMTA_W_FCN
FP_KMTA_W_FSTFP_KMTA_W_FST
FP_KMTA_W_IMPFP_KMTA_W_IMP
FP_KMTA_W_INJFP_KMTA_W_INJ
FP_KMTA_W_IUDFP_KMTA_W_IUD
FP_KMTA_W_MSTFP_KMTA_W_MST
FP_KMTA_W_OMDFP_KMTA_W_OMD
FP_KMTA_W_PILFP_KMTA_W_PIL
FP_KMTA_W_STDFP_KMTA_W_STD
FP_KMTA_W_TRAFP_KMTA_W_TRA
FP_KMTA_W_WTHFP_KMTA_W_WTH
FP_NADA_W_UNT IRdata Women with an unmet need for family planning for spacing and limitingFP_NADA_W_UNT
FP_NADA_W_UNT IRdata Women with an unmet need for family planning for spacing and limitingFP_NADM_W_PDM
FP_NADM_W_UNT #unmet_family IRdata Married women with an unmet need for family planning for spacing and limiting, line 17 manually added by QianyuFP_NADM_W_UNT
FP_NADA_W_UNT IRdata Women with an unmet need for family planning for spacing and limitingFP_NDYA_W_PDM
Function to obtain subnational estimates from DHS APIget_api_table
Download geoBoundaries Shapefile as sf Objectget_geoBoundaries
Extract Covariate Data from A list of RastersgetCovariate
Download DHS survey datagetDHSdata
Download DHS geo datagetDHSgeo
Process DHS datagetDHSindicator
Function to threshold population raster to obtain urban/rural fractions by Admin1 and Admin2 areasgetUR
HA_AFSY_M_A15HA_AFSY_M_A15
HA_AFSY_M_A18HA_AFSY_M_A18
HA_AFSY_W_A18HA_AFSY_W_A18
HA_ANSS_M_CNDHA_ANSS_M_CND
HA_ANSS_W_CNDHA_ANSS_W_CND
HA_ANSS_W_RSXHA_ANSS_W_RSX
HA_CATH_W_ATNHA_CATH_W_ATN
HA_CATH_W_NRSHA_CATH_W_NRS
HA_HIVP_B_HIV hv_hiv_pos "HIV prevalence among general population"HA_HIVP_B_HIV
HA_HRSX_W_CNDHA_HRSX_W_CND
HA_HVST_M_HRDHA_HVST_M_HRD
HA_HVST_M_USDHA_HVST_M_USD
HA_HVTY_M_TRRHA_HVTY_M_TRR
HA_HVTY_W_TRRHA_HVTY_W_TRR
HA_KAID_W_HRD Percentage of women who have heard of HIV or AIDS hk_ever_heard in github IRHA_KAID_W_HRD
HA_STIS_M_DISHA_STIS_M_DIS
HA_STIS_M_SORHA_STIS_M_SOR
HA_STIS_W_STI Percentage of women reporting a sexually transmitted infection in the 12 months preceding the survey among women who ever had sexual intercourse hk_sti in github IRHA_STIS_W_STI
HC_AGEG_P_ADLHC_AGEG_P_ADL
HC_ELEC_H_ELC Percentage of households with electricity ph_electric in github HRHC_ELEC_H_ELC
HC_FLRM_H_CER Percentage of households with ceramic tile floors ph_floor in github HRHC_FLRM_H_CER
HC_HEFF_H_RDO Percentage of households possessing a radio ph_radio in github HRHC_HEFF_H_RDO
HC_WIXQ_P_12Q PRdata Population in the lowest and second wealth quintileHC_WIXQ_P_12Q
HC_WIXQ_P_2ND PRdata Population in the second wealth quintileHC_WIXQ_P_2ND
HC_WIXQ_P_LOW PRdata Population in the lowest wealth quintileHC_WIXQ_P_LOW
Table of supported DHS indicators.indicatorList
Get scatter plot for any two model resultsintervalPlot
MA_CWIV_W_CWVMA_CWIV_W_CWV
MA_MBAG_W_B15 Women first married by exact age 15 ms_afm_15 in github IRMA_MBAG_W_B15
##' MA_MBAG_W_B18 Percentage of women first married by exact age 18 ms_afm_18 in github IRMA_MBAG_W_B18
MA_MBAY_W_B15 Young women age 20-24 first married by exact age 15 ms_afm_15 in github IRMA_MBAY_W_B15
MA_MBAY_W_B18 Percentage of Young women age 20-24 first married by exact age 18 ms_afm_18 in github IRMA_MBAY_W_B18
MA_MSTA_W_NMAMA_MSTA_W_NMA
Indicator matching table.match_all_result
ML_NETC_C_ITN PRdata Percentage of children under age five who slept under an insecticide treated net (ITN) the night before the surveyML_NETC_C_ITN
ML_NETP_H_IT2 HRdata Households with access to an insecticide-treated mosquito net (ITN)ML_NETP_H_IT2
ML_NETU_P_ITN PRdata Percentage of the de facto household population who slept under an insecticide treated net the night before the surveyML_NETU_P_ITN
ML_PMAL_C_RDT PRdata Malaria prevalence according to RDTML_PMAL_C_RDT
PR_DESL_W_WNMPR_DESL_W_WNM
static prevalence map for any subnational levelprevMap
leaflet (interactive) prevalence map for any subnational levelprevMap.web
Get ranking plot of model resultsrankPlot
AH_TOBC_W_OTHRH_ANCN_W_N01
RH_ANCN_W_N4F IRdata Antenatal visits for pregnancy: 4+ visits FIVE yearRH_ANCN_W_N4F
RH_ANCN_W_N4P IRdata Antenatal visits for pregnancy: 4+ visits TWO yearRH_ANCN_W_N4P
RH_ANCN_W_N4P IRdata Antenatal visits for pregnancy: no visits TWO yearRH_ANCN_W_NON
RH_DELA_C_SKF BRdata Assistance during delivery from a skilled providerRH_DELA_C_SKF
RH_DELA_C_SKP BRdata Assistance during delivery from a skilled providerRH_DELA_C_SKP
RH_DELP_C_DHFRH_DELP_C_DHF
RH_DELP_C_DHTRH_DELP_C_DHT
RH_DELP_C_HOMRH_DELP_C_HOM
RH_DELP_C_HOTRH_DELP_C_HOT
RH_DELP_C_PRTRH_DELP_C_PRT
RH_DELP_C_PRVRH_DELP_C_PRV
RH_DELP_C_PUBRH_DELP_C_PUB
RH_DELP_C_PUTRH_DELP_C_PUT
RH_PAHC_W_DIS IRdata Problems in accessing health care: Distance to health facilityRH_PAHC_W_DIS
RH_PAHC_W_MON IRdata Problems in accessing health care: Getting money for treatmentRH_PAHC_W_MON
RH_PAHC_W_PRM IRdata Problems in accessing health care: Getting permission to go for treatmentRH_PAHC_W_PRM
RH_PCCT_C_DY2 Newborn's first postnatal checkup: 1-2 days RH_PCCT_C_DY2 in github IRRH_PCCT_C_DY2
RH_PCMT_W_DY2 Mother's first postnatal checkup: 1-2 days IRRH_PCMT_W_DY2
RH_PCMT_W_NON No Mother's postnatal checkup in 42 days IRRH_PCMT_W_NON
ridge plot for prevalenceridgeprevPlot
Get scatter plot for any two model resultsscatterPlot
web-based scatter plotscatterPlot.web
WE_AWBT_M_ARGWE_AWBT_M_ARG
WE_AWBT_M_BFDWE_AWBT_M_BFD
WE_AWBT_M_OUTWE_AWBT_M_OUT
WE_AWBT_M_REFWE_AWBT_M_REF
WE_AWBT_W_ARGWE_AWBT_W_ARG
WE_AWBT_W_BFDWE_AWBT_W_BFD
WE_AWBT_W_NEGWE_AWBT_W_NEG
WE_AWBT_W_OUTWE_AWBT_W_OUT
WE_AWBT_W_REFWE_AWBT_W_REF
WS_SRCE_H_USG Percentage of households whose main source of drinking water is an unprotected spring ph_wtr_source in github "unprotected spring" = 42, HRWS_SRCE_H_USG
WS_SRCE_P_BAS PRdata Population using a basic water sourceWS_SRCE_P_BAS
WS_TLET_H_IMP PRdata Percentage of households using an improved sanitation facilityWS_TLET_H_IMP
WS_TLET_P_BAS PRdata Population with access to a basic sanitation serviceWS_TLET_P_BAS
WS_WTRT_P_BLCWS_WTRT_P_BLC
WS_WTRT_P_BOLWS_WTRT_P_BOL
WS_WTRT_P_SOLWS_WTRT_P_SOL
WS_WTRT_P_STNWS_WTRT_P_STN
Admin 1 Polygon Map for Zambia.ZambiaAdm1
Admin 2 Polygon Map for Zambia.ZambiaAdm2
Population estimates for Women of age 15 to 49 in Zambia in 2018.ZambiaPopWomen