| Create new row to add in indicatorList. | addNewIndicator |
| Attach upper-level admin names to lower-level polygons | addUpper |
| Get admin information | adminInfo |
| Get population information | aggPopulation |
| Get survey weight by admin levels | aggSurveyWeight |
| Any health insurance | AH_HINS_W_ANY |
| AH_TOBC_W_OTH | AH_TOBC_W_OTH |
| AH_TOBU_M_ASM | AH_TOBU_M_ASM |
| AH_TOBU_M_SNN | AH_TOBU_M_SNN |
| AH_TOBU_W_SNM | AH_TOBU_W_SNM |
| AH_TOBU_W_SNN | AH_TOBU_W_SNN |
| AN_ANEM_W_ANY IRdata Percentage of women aged 15-49 classified as having any anemia | AN_ANEM_W_ANY |
| AN_NUTS_W_OVW Women who are overweight according to BMI (25.0-29.9) nt_wm_ovwt in github IR | AN_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 KR | CH_ARIS_C_ADV |
| CH_DIAT_C_ABI | CH_DIAT_C_ABI |
| CH_DIAT_C_ADV Treatment of diarrhea: Advice or treatment was sought; ch_diar_care in github KR | CH_DIAT_C_ADV |
| CH_DIAT_C_AMO | CH_DIAT_C_AMO |
| CH_DIAT_C_NOT | CH_DIAT_C_NOT |
| CH_DIAT_C_ORS | CH_DIAT_C_ORS |
| CH_DIAT_C_ORT | CH_DIAT_C_ORT |
| CH_DIAT_C_OSI | CH_DIAT_C_OSI |
| CH_DIAT_C_RHF | CH_DIAT_C_RHF |
| CH_DIFP_C_FAL | CH_DIFP_C_FAL |
| CH_FEVR_C_FEV | CH_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 KR | CH_FEVT_C_ADV |
| CH_SZWT_C_L25 | CH_SZWT_C_L25 |
| Percentage showing a vaccination card | CH_VAC1_C_VCD |
| Fully vaccinated (according to national schedule) | CH_VACC_C_APP |
| 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 KR | CH_VACC_C_BCG |
| CH_VACC_C_DP1 KRdata Pentavalent 1st dose vaccination Percentage of children (age 12-23) with 1st dose of Pentavalent vaccine | CH_VACC_C_DP1 |
| CH_VACC_C_DP3 KRdata Pentavalent 3rd dose vaccination Percentage of children (age 12-23) with 3rd dose of Pentavalent vaccine | CH_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 received | CH_VACC_C_RT1 |
| Fully vaccinated (according to national schedule) | CH_VACS_C_APP |
| Fully vaccinated (8 basic antigens) | CH_VACS_C_BAS |
| BCG vaccination received | CH_VACS_C_BCG |
| DPT 1 vaccination received | CH_VACS_C_DP1 |
| DPT 2 vaccination received | CH_VACS_C_DP2 |
| DPT 3 vaccination received | CH_VACS_C_DP3 |
| Hepatitis 1 vaccination received | CH_VACS_C_HP1 |
| Hepatitis 2 vaccination received | CH_VACS_C_HP2 |
| Hepatitis 3 vaccination received | CH_VACS_C_HP3 |
| Measles 2 vaccination received | CH_VACS_C_MS2 |
| Measles vaccination received | CH_VACS_C_MSL |
| Received no vaccinations | CH_VACS_C_NON |
| Polio 0 vaccination received | CH_VACS_C_OP0 |
| Polio 1 vaccination received | CH_VACS_C_OP1 |
| Polio 2 vaccination received | CH_VACS_C_OP2 |
| Polio 3 vaccination received | CH_VACS_C_OP3 |
| Pneumococcal 1 vaccination received | CH_VACS_C_PN1 |
| Pneumococcal 2 vaccination received | CH_VACS_C_PN2 |
| CH_VACS_C_PN3 KRdata Pneumococcal 3 vaccination received | CH_VACS_C_PN3 |
| Pentavalent 1 vaccination received | CH_VACS_C_PT1 |
| Pentavalent 2 vaccination received | CH_VACS_C_PT2 |
| Pentavalent 3 vaccination received | CH_VACS_C_PT3 |
| Rotavirus 1 vaccination received | CH_VACS_C_RT1 |
| Rotavirus 2 vaccination received | CH_VACS_C_RT2 |
| Get cluster information | clusterInfo |
| Calculate cluster model estimates using beta binomial model | clusterModel |
| Calculate cluster model estimates using beta binomial model for U5MR | clusterModel_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 rate | CM_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 anemia | CN_ANMC_C_ANY |
| CN_BRFI_C_EVR | CN_BRFI_C_EVR |
| CN_BRFS_C_EXB KRdata Children exclusively breastfed Prevalence of exclusive breastfeeding of children under six months of age | CN_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 KR | CN_IYCF_C_4FA |
| Breastfed children 6-23 months fed both 4+ food groups and the minimum meal frequency | CN_IYCF_C_BTB |
| Children 6-23 months fed the minimum meal frequency | CN_IYCF_C_MNA |
| Breastfed children 6-23 months fed the minimum meal frequency | CN_IYCF_C_MNB |
| Children 6-23 months that consumed foods rich in iron in the last 24 hours | CN_MIAC_C_IRF |
| CN_NUTS_C_HA2 | CN_NUTS_C_HA2 |
| CN_NUTS_C_HA3 | CN_NUTS_C_HA3 |
| CN_NUTS_C_WA2 | CN_NUTS_C_WA2 |
| CN_NUTS_C_WA3 | CN_NUTS_C_WA3 |
| CN_NUTS_C_WAP | CN_NUTS_C_WAP |
| CN_NUTS_C_WH2 | CN_NUTS_C_WH2 |
| CN_NUTS_C_WH3 | CN_NUTS_C_WH3 |
| CN_NUTS_C_WHP | CN_NUTS_C_WHP |
| Men who ever used the internet | CO_INUS_M_EVU |
| Men who used the internet in the past 12 months | CO_INUS_M_U12 |
| CO_INUS_W_EVU | CO_INUS_W_EVU |
| CO_INUS_W_U12 | CO_INUS_W_U12 |
| Men who have a bank account | CO_MOBB_M_BNK |
| Men who use a mobile phone for financial transactions | CO_MOBB_M_MBF |
| Men who own a mobile phone | CO_MOBB_M_MOB |
| Men who used a mobile phone for financial transactions [all men] | CO_MOBB_M_SPT |
| CO_MOBB_W_BNK | CO_MOBB_W_BNK |
| Women who have and used a bank account or used a mobile phone for financial transactions | CO_MOBB_W_DFT |
| CO_MOBB_W_MBF | CO_MOBB_W_MBF |
| CO_MOBB_W_MOB | CO_MOBB_W_MOB |
| Women who used a mobile phone for financial transactions [all women] | CO_MOBB_W_SPT |
| CP_BREG_C_CRT | CP_BREG_C_CRT |
| CP_BREG_C_NCT | CP_BREG_C_NCT |
| CP_BREG_C_REG | CP_BREG_C_REG |
| Summarize Sample and Event Information by Administrative Level | datainfo |
| Calculate direct estimates | directEST |
| Helper function for the U5MR direct estimation | directEST_u5mr |
| Calculate direct estimates | directEST_varfix |
| DV_AFSV_W_A10 | DV_AFSV_W_A10 |
| DV_AFSV_W_A12 | DV_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 IR | DV_EXPV_W_12M |
| DV_EXSV_W_12M Percentage of women who ever experienced sexual violence dv_sex_12m in github IR | DV_EXSV_W_12M |
| DV_EXSV_W_EVR Percentage of women who ever experienced sexual violence dv_sex in github IR | DV_EXSV_W_EVR |
| Women who experienced physical and sexual violence | DV_FMVL_W_PAS |
| Intimate partner violence: Any physical violence | DV_FSVL_W_PHS |
| DV_PCPV_W_CBF | DV_PCPV_W_CBF |
| DV_PCPV_W_CHD | DV_PCPV_W_CHD |
| DV_PCPV_W_EMP | DV_PCPV_W_EMP |
| Physical violence committed by former husband/partner | DV_PCPV_W_FHP |
| DV_PCPV_W_FLW | DV_PCPV_W_FLW |
| DV_PCPV_W_OLW | DV_PCPV_W_OLW |
| Physical or sexual or emotional violence committed by husband/partner in last 12 months | DV_SPV1_W_ANY |
| DV_STPS_W_BFR | DV_STPS_W_BFR |
| DV_VPRG_W_VPG | DV_VPRG_W_VPG |
| Population age 6 and over with completed secondary education | ED_EDAT_B_CSC |
| Population age 6 and over who attended higher education | ED_EDAT_B_HGH |
| Population age 6 and over with no education | ED_EDAT_B_NED |
| Male population age 6 and over who attended primary education | ED_EDAT_M_PRI |
| Male population age 6 and over with some primary education | ED_EDAT_M_SPR |
| Female population age 6 and over with completed secondary education | ED_EDAT_W_CSC |
| Female population age 6 and over with some primary education | ED_EDAT_W_SPR |
| Women with completed primary education | ED_EDUC_W_CPR |
| Women with completed secondary education | ED_EDUC_W_CSC |
| Women with more than secondary education | ED_EDUC_W_HGH |
| Women with no education | ED_EDUC_W_NED |
| Women with primary education | ED_EDUC_W_PRI |
| ED_EDUC_W_SEH IRdata Percentage of women with secondary or higher education | ED_EDUC_W_SEH |
| Women with some primary education | ED_EDUC_W_SPR |
| Women with some secondary education | ED_EDUC_W_SSC |
| Men with secondary or higher education | ED_LITR_M_SCH |
| ED_LITR_W_LIT | ED_LITR_W_LIT |
| Women who can read a whole sentence | ED_LITR_W_RDW |
| Women with secondary or higher education | ED_LITR_W_SCH |
| ED_MDIA_W_3MD | ED_MDIA_W_3MD |
| ED_MDIA_W_N3M | ED_MDIA_W_N3M |
| ED_MDIA_W_NWS | ED_MDIA_W_NWS |
| ED_MDIA_W_RDO | ED_MDIA_W_RDO |
| ED_MDIA_W_TLV | ED_MDIA_W_TLV |
| EM_EMPM_W_EMP | EM_EMPM_W_EMP |
| Plot exceedance probability of model results | exceedPlot |
| Women giving birth by age 18 | FE_BBAG_W_A18 |
| Age specific fertility rate: 15-19 | FE_FRTR_W_A15 |
| Total fertility rate 15-44 | FE_FRTR_W_TF4 |
| Total fertility rate 15-49 | FE_FRTR_W_TFR |
| FG_KFCC_W_HFC IRdata Percentage of women who have ever heard of female circumcision | FG_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 estimates | fhModel |
| Women who have ever experienced fistula symptoms | FI_EXFI_W_EEX |
| Women who have ever heard of fistula symptoms | FI_EXFI_W_HRD |
| FP_CUSA_W_ANY | FP_CUSA_W_ANY |
| FP_CUSA_W_EMC | FP_CUSA_W_EMC |
| FP_CUSA_W_FCN | FP_CUSA_W_FCN |
| FP_CUSA_W_FST | FP_CUSA_W_FST |
| FP_CUSA_W_IMP | FP_CUSA_W_IMP |
| FP_CUSA_W_INJ | FP_CUSA_W_INJ |
| FP_CUSA_W_IUD | FP_CUSA_W_IUD |
| FP_CUSA_W_MCN | FP_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_MST | FP_CUSA_W_MST |
| FP_CUSA_W_PIL | FP_CUSA_W_PIL |
| FP_CUSA_W_STD | FP_CUSA_W_STD |
| FP_CUSA_W_TRA | FP_CUSA_W_TRA |
| FP_CUSA_W_WTH | FP_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 |
| Family planning use decisionmaking mainly by others/don't know/missing | FP_DMKF_W_UDK |
| Family planning use decisionmaking mainly by husband | FP_DMKF_W_UHS |
| Family planning use decisionmaking jointly by wife and husband | FP_DMKF_W_UJN |
| Family planning use decisionmaking mainly by wife | FP_DMKF_W_UWF |
| Family planning decisionmaking mainly by husband | FP_DMKP_W_MHS |
| Family planning decisionmaking jointly by wife and husband | FP_DMKP_W_MJN |
| Family planning decisionmaking mainly by wife | FP_DMKP_W_MWF |
| FP_EFPM_M_NWS | FP_EFPM_M_NWS |
| FP_EFPM_M_TLV | FP_EFPM_M_TLV |
| FP_EFPM_W_NWS | FP_EFPM_W_NWS |
| FP_EFPM_W_RDO | FP_EFPM_W_RDO |
| FP_EFPM_W_TLV | FP_EFPM_W_TLV |
| FP_EVUM_W_MOD | FP_EVUM_W_MOD |
| Knowledge of any method of contraception (all men) | FP_KMTA_M_ANY |
| Knowledge of any modern method of contraception (all men) | FP_KMTA_M_MOD |
| FP_KMTA_W_ANY | FP_KMTA_W_ANY |
| FP_KMTA_W_EMC | FP_KMTA_W_EMC |
| FP_KMTA_W_FCN | FP_KMTA_W_FCN |
| FP_KMTA_W_FST | FP_KMTA_W_FST |
| FP_KMTA_W_IMP | FP_KMTA_W_IMP |
| FP_KMTA_W_INJ | FP_KMTA_W_INJ |
| FP_KMTA_W_IUD | FP_KMTA_W_IUD |
| FP_KMTA_W_MST | FP_KMTA_W_MST |
| FP_KMTA_W_OMD | FP_KMTA_W_OMD |
| FP_KMTA_W_PIL | FP_KMTA_W_PIL |
| FP_KMTA_W_STD | FP_KMTA_W_STD |
| FP_KMTA_W_TRA | FP_KMTA_W_TRA |
| FP_KMTA_W_WTH | FP_KMTA_W_WTH |
| Knowledge of any method of contraception (married men) | FP_KMTM_M_ANY |
| Knowledge of any modern method of contraception (married men) | FP_KMTM_M_MOD |
| Knowledge of any method of contraception (married women) | FP_KMTM_W_ANY |
| Knowledge of any modern method of contraception (married women) | FP_KMTM_W_MOD |
| Met need for family planning (currently using), total (all women) | FP_NADA_W_MNT |
| Demand for family planning satisfied by modern methods (all women) | FP_NADA_W_PDM |
| Demand for family planning satisfied (all women) | FP_NADA_W_PDS |
| Total demand for family planning, total (all women) | FP_NADA_W_TDT |
| Unmet need for modern methods, total (all women) | FP_NADA_W_UMT |
| FP_NADA_W_UNT IRdata Women with an unmet need for family planning for spacing and limiting | FP_NADA_W_UNT |
| Met need for family planning (currently using), total | FP_NADM_W_MNT |
| FP_NADA_W_UNT IRdata Women with an unmet need for family planning for spacing and limiting | FP_NADM_W_PDM |
| Demand for family planning satisfied | FP_NADM_W_PDS |
| Total demand for family planning | FP_NADM_W_TDT |
| Unmet need for modern methods | FP_NADM_W_UMT |
| 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 Qianyu | FP_NADM_W_UNT |
| Met need for family planning (currently using), total (all young women) | FP_NDYA_W_MNT |
| FP_NADA_W_UNT IRdata Women with an unmet need for family planning for spacing and limiting | FP_NDYA_W_PDM |
| Demand for family planning satisfied (all young women) | FP_NDYA_W_PDS |
| Total demand for family planning, total (all young women) | FP_NDYA_W_TDT |
| Unmet need for modern methods, total (all young women) | FP_NDYA_W_UMT |
| Unmet need for family planning, total (all young women) | FP_NDYA_W_UNT |
| Met need for family planning (currently using), total (married young women) | FP_NDYM_W_MNT |
| Demand for family planning satisfied by modern methods (married young women) | FP_NDYM_W_PDM |
| Demand for family planning satisfied (married young women) | FP_NDYM_W_PDS |
| Unmet need for modern methods (married young women) | FP_NDYM_W_UMT |
| Unmet need for family planning (married young women) | FP_NDYM_W_UNT |
| Function to obtain subnational estimates from DHS API | get_api_table |
| Download geoBoundaries Shapefile as sf Object | get_geoBoundaries |
| Extract Covariate Data from A list of Rasters | getCovariate |
| Download DHS survey data | getDHSdata |
| Download DHS geo data | getDHSgeo |
| Process DHS data | getDHSindicator |
| Function to threshold population raster to obtain urban/rural fractions by Admin1 and Admin2 areas | getUR |
| HA_AFSY_M_A15 | HA_AFSY_M_A15 |
| HA_AFSY_M_A18 | HA_AFSY_M_A18 |
| HA_AFSY_W_A18 | HA_AFSY_W_A18 |
| HA_ANSS_M_CND | HA_ANSS_M_CND |
| HA_ANSS_W_CND | HA_ANSS_W_CND |
| HA_ANSS_W_RSX | HA_ANSS_W_RSX |
| HA_CATH_W_ATN | HA_CATH_W_ATN |
| HA_CATH_W_NRS | HA_CATH_W_NRS |
| Comprehensive correct knowledge about AIDS [Women] | HA_CKNA_W_CKA |
| HA_HIVP_B_HIV hv_hiv_pos "HIV prevalence among general population" | HA_HIVP_B_HIV |
| HA_HRSX_W_CND | HA_HRSX_W_CND |
| HA_HVST_M_HRD | HA_HVST_M_HRD |
| HA_HVST_M_USD | HA_HVST_M_USD |
| HA_HVTY_M_TRR | HA_HVTY_M_TRR |
| HA_HVTY_W_TRR | HA_HVTY_W_TRR |
| Men who have heard of HIV or AIDS | HA_KAID_M_HRD |
| HA_KAID_W_HRD Percentage of women who have heard of HIV or AIDS hk_ever_heard in github IR | HA_KAID_W_HRD |
| Knowledge of HIV prevention methods - Composite of 2 components (prompted) [Men] | HA_KHVP_M_CS1 |
| HA_STIS_M_DIS | HA_STIS_M_DIS |
| HA_STIS_M_SOR | HA_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 IR | HA_STIS_W_STI |
| HC_AGEG_P_ADL | HC_AGEG_P_ADL |
| HC_ELEC_H_ELC Percentage of households with electricity ph_electric in github HR | HC_ELEC_H_ELC |
| HC_FLRM_H_CER Percentage of households with ceramic tile floors ph_floor in github HR | HC_FLRM_H_CER |
| HC_HEFF_H_RDO Percentage of households possessing a radio ph_radio in github HR | HC_HEFF_H_RDO |
| Households possessing a private car | HC_TRNS_H_CAR |
| Households possessing a motorcycle | HC_TRNS_H_SCT |
| HC_WIXQ_P_12Q PRdata Population in the lowest and second wealth quintile | HC_WIXQ_P_12Q |
| HC_WIXQ_P_2ND PRdata Population in the second wealth quintile | HC_WIXQ_P_2ND |
| HC_WIXQ_P_LOW PRdata Population in the lowest wealth quintile | HC_WIXQ_P_LOW |
| Table of supported DHS indicators. | indicatorList |
| Get scatter plot for any two model results | intervalPlot |
| MA_CWIV_W_CWV | MA_CWIV_W_CWV |
| MA_MBAG_W_B15 Women first married by exact age 15 ms_afm_15 in github IR | MA_MBAG_W_B15 |
| ##' MA_MBAG_W_B18 Percentage of women first married by exact age 18 ms_afm_18 in github IR | MA_MBAG_W_B18 |
| MA_MBAY_W_B15 Young women age 20-24 first married by exact age 15 ms_afm_15 in github IR | MA_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 IR | MA_MBAY_W_B18 |
| MA_MSTA_W_NMA | MA_MSTA_W_NMA |
| Current marital status [Women]: Married or living in union | MA_MSTA_W_UNI |
| Current marital status [Young women]: Married | MA_MSTY_W_MAR |
| Current marital status [Young women]: Married or living in union | MA_MSTY_W_UNI |
| Indicator matching table. | match_all_result |
| Children with fever for whom advice or treatment was sought | ML_FEVT_C_ADV |
| Households with at least one insecticide-treated mosquito net (ITN) for every two persons and/or indoor residual spraying (IRS) in the past 12 months | ML_IRSM_H_I2I |
| ML_NETC_C_ITN PRdata Percentage of children under age five who slept under an insecticide treated net (ITN) the night before the survey | ML_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 survey | ML_NETU_P_ITN |
| ML_PMAL_C_RDT PRdata Malaria prevalence according to RDT | ML_PMAL_C_RDT |
| PR_DESL_W_WNM | PR_DESL_W_WNM |
| static prevalence map for any subnational level | prevMap |
| leaflet (interactive) prevalence map for any subnational level | prevMap.web |
| Get ranking plot of model results | rankPlot |
| AH_TOBC_W_OTH | RH_ANCN_W_N01 |
| RH_ANCN_W_N4F IRdata Antenatal visits for pregnancy: 4+ visits FIVE year | RH_ANCN_W_N4F |
| RH_ANCN_W_N4P IRdata Antenatal visits for pregnancy: 4+ visits TWO year | RH_ANCN_W_N4P |
| RH_ANCN_W_N4P IRdata Antenatal visits for pregnancy: no visits TWO year | RH_ANCN_W_NON |
| Antenatal care provider: Community health worker | RH_ANCP_W_CHW |
| Antenatal care provider: Doctor | RH_ANCP_W_DOC |
| No antenatal care | RH_ANCP_W_NON |
| Antenatal care provider: Nurse/midwife | RH_ANCP_W_NRS |
| Antenatal care provider: Other health worker | RH_ANCP_W_OHW |
| Antenatal care from a skilled provider | RH_ANCP_W_SKP |
| Antenatal care provider: Traditional birth attendant | RH_ANCP_W_TBA |
| Assistance during delivery: No one | RH_DELA_C_NON |
| RH_DELA_C_SKF BRdata Assistance during delivery from a skilled provider | RH_DELA_C_SKF |
| RH_DELA_C_SKP BRdata Assistance during delivery from a skilled provider | RH_DELA_C_SKP |
| Assistance during delivery: Traditional birth attendant | RH_DELA_C_TBA |
| RH_DELP_C_DHF | RH_DELP_C_DHF |
| RH_DELP_C_DHT | RH_DELP_C_DHT |
| RH_DELP_C_HOM | RH_DELP_C_HOM |
| RH_DELP_C_HOT | RH_DELP_C_HOT |
| RH_DELP_C_PRT | RH_DELP_C_PRT |
| RH_DELP_C_PRV | RH_DELP_C_PRV |
| RH_DELP_C_PUB | RH_DELP_C_PUB |
| RH_DELP_C_PUT | RH_DELP_C_PUT |
| Iron supplementation: 60-89 days | RH_ICSP_W_B69 |
| Iron supplementation: don't know/missing | RH_ICSP_W_IDK |
| Iron supplementation: less than 60 days | RH_ICSP_W_L60 |
| Iron supplementation: none | RH_ICSP_W_TNI |
| Iron supplementation: total | RH_ICSP_W_TOT |
| RH_PAHC_W_DIS IRdata Problems in accessing health care: Distance to health facility | RH_PAHC_W_DIS |
| Problems in accessing health care: Concern there may not be a female provider | RH_PAHC_W_FEM |
| RH_PAHC_W_MON IRdata Problems in accessing health care: Getting money for treatment | RH_PAHC_W_MON |
| Problems in accessing health care: Any of the specified problems | RH_PAHC_W_PR1 |
| RH_PAHC_W_PRM IRdata Problems in accessing health care: Getting permission to go for treatment | RH_PAHC_W_PRM |
| Problems in accessing health care: Having to take transport | RH_PAHC_W_TRN |
| Provider of newborns' first postnatal checkup: Community health worker | RH_PCCP_C_CHW |
| Provider of newborns' first postnatal checkup: Doctor/nurse/midwife | RH_PCCP_C_DOC |
| No postnatal checkup for newborn within first two days of birth | RH_PCCP_C_NON |
| Provider of newborns' first postnatal checkup: Other health worker | RH_PCCP_C_OHW |
| Provider of newborns' first postnatal checkup: Traditional birth attendant | RH_PCCP_C_TBA |
| Newborn's first postnatal checkup: 1-2 days | RH_PCCT_C_D12 |
| Newborn's first postnatal checkup: 3-6 days | RH_PCCT_C_D36 |
| Newborn's first postnatal checkup: don't know or missing | RH_PCCT_C_DKM |
| RH_PCCT_C_DY2 Newborn's first postnatal checkup: 1-2 days RH_PCCT_C_DY2 in github IR | RH_PCCT_C_DY2 |
| Newborn's first postnatal checkup: 4-23 hours | RH_PCCT_C_H4P |
| Newborn's first postnatal checkup: Less than 1 hour | RH_PCCT_C_L1H |
| Newborn's first postnatal checkup: Total | RH_PCCT_C_TOT |
| Provider of mothers' first postnatal checkup: Community health worker | RH_PCMP_W_CHW |
| Provider of mothers' first postnatal checkup: Doctor/nurse/midwife | RH_PCMP_W_DOC |
| No postnatal checkup for mother within first two days of birth | RH_PCMP_W_NON |
| Provider of mothers' first postnatal checkup: Other health worker | RH_PCMP_W_OHW |
| Provider of mothers' first postnatal checkup: Traditional birth attendant | RH_PCMP_W_TBA |
| Mother's first postnatal checkup: 1-2 days | RH_PCMT_W_D12 |
| Mother's first postnatal checkup: 7-41 days | RH_PCMT_W_D7P |
| Mother's first postnatal checkup: don't know or missing | RH_PCMT_W_DKM |
| RH_PCMT_W_DY2 Mother's first postnatal checkup: 1-2 days IR | RH_PCMT_W_DY2 |
| RH_PCMT_W_NON No Mother's postnatal checkup in 42 days IR | RH_PCMT_W_NON |
| Mother's first postnatal checkup: Total | RH_PCMT_W_TOT |
| ridge plot for prevalence | ridgeprevPlot |
| Get scatter plot for any two model results | scatterPlot |
| web-based scatter plot | scatterPlot.web |
| WE_AWBT_M_ARG | WE_AWBT_M_ARG |
| WE_AWBT_M_BFD | WE_AWBT_M_BFD |
| WE_AWBT_M_OUT | WE_AWBT_M_OUT |
| WE_AWBT_M_REF | WE_AWBT_M_REF |
| Wife beating justified for at least one specific reason [Women] | WE_AWBT_W_AGR |
| WE_AWBT_W_ARG | WE_AWBT_W_ARG |
| WE_AWBT_W_BFD | WE_AWBT_W_BFD |
| WE_AWBT_W_NEG | WE_AWBT_W_NEG |
| WE_AWBT_W_OUT | WE_AWBT_W_OUT |
| WE_AWBT_W_REF | WE_AWBT_W_REF |
| Final say in own health care [Women] | WE_DMAK_W_OHC |
| Decision maker about Own health care: Mainly husband [Men] | WE_DMKH_M_HUS |
| Decision maker about Own health care: Wife and husband jointly [Men] | WE_DMKH_M_JNT |
| Decision maker about Own health care: Mainly wife [Men] | WE_DMKH_M_WIF |
| Decision maker about Own health care: Mainly husband [Women] | WE_DMKH_W_HUS |
| Decision maker about Own health care: Wife and husband jointly [Women] | WE_DMKH_W_JNT |
| Decision maker about Own health care: Mainly wife [Women] | WE_DMKH_W_WIF |
| Decision maker about Major household purchases: Mainly husband [Men] | WE_DMKP_M_HUS |
| Decision maker about Major household purchases: Wife and husband jointly [Men] | WE_DMKP_M_JNT |
| Decision maker about Major household purchases: Mainly wife [Men] | WE_DMKP_M_WIF |
| Decision maker about Major household purchases: Mainly husband [Women] | WE_DMKP_W_HUS |
| Decision maker about Major household purchases: Wife and husband jointly [Women] | WE_DMKP_W_JNT |
| Decision maker about Major household purchases: Mainly wife [Women] | WE_DMKP_W_WIF |
| Households with a basic handwashing facility, with soap and water available | WS_HNDW_H_BAS |
| Households with a place for handwashing was observed | WS_HNDW_H_OBS |
| Households with basic water service | WS_SRCE_H_BAS |
| Households using an improved water source | WS_SRCE_H_IMP |
| Households with limited water service | WS_SRCE_H_LTD |
| 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, HR | WS_SRCE_H_USG |
| WS_SRCE_P_BAS PRdata Population using a basic water source | WS_SRCE_P_BAS |
| Households with basic sanitation service | WS_TLET_H_BAS |
| WS_TLET_H_IMP PRdata Percentage of households using an improved sanitation facility | WS_TLET_H_IMP |
| WS_TLET_P_BAS PRdata Population with access to a basic sanitation service | WS_TLET_P_BAS |
| Population with an improved sanitation facility | WS_TLET_P_IMP |
| Households treating water by adding bleach/chlorine | WS_WTRT_H_BLC |
| Households treating water by boiling | WS_WTRT_H_BOL |
| Households treating water by straining through a cloth | WS_WTRT_H_STN |
| WS_WTRT_P_BLC | WS_WTRT_P_BLC |
| WS_WTRT_P_BOL | WS_WTRT_P_BOL |
| WS_WTRT_P_SOL | WS_WTRT_P_SOL |
| WS_WTRT_P_STN | WS_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 |
