dashboard_id,ind,gho_code,ind_type,uhc,hpop,hep,covariate,calculated,sdg,short_name,unit_raw,unit_transformed,medium_name,transformed_name,order,pillar,small_is_best,gho_query,data_source,sdg_scenario,acceleration_scenario
WHA6610_obesity_adults,adult_obese,NCD_BMI_30C,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,WHA66.11,Adult Obesity,%,%,Prevalence of obesity among adults (aged 18+) (%),Adults not obese,20,NA,TRUE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX',"WHO estimates, 2016",Halt the rise to 2010 value,Halt the rise to 2010 value
SDG352_alcohol,alcohol,SA_0000001688,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 3.5.2,Alcohol Consumption,litres of pure alcohol,%,Total alcohol per capita consumption in adults aged 15+ (litres of pure alcohol),Reduced alcohol use,17,NA,TRUE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX',WHO Global Information System on Alcohol and Health (GISAH),-10 percent from 2010 value,"Best of Business as usual, halt the rise to 2010 value, and -10 percent from 2010 value"
WHA6610_obesity_5to19,child_obese,NCD_BMI_PLUS2C,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,WHA66.10,Adolescent/ Child Obesity,%,%,Prevalence of obesity among children and adolescents (aged 5-19) (%),Children not obese,5,NA,TRUE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX' and Dim2 eq 'AGEGROUP_YEARS05-19',"WHO estimates, 2016",Halt the rise to 2010 value,Halt the rise to 2010 value
SDG1621_physicalpunish,child_viol,CHILDVIOL,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 16.2.1,Violence Against Children,%,%,Proportion of children (aged 1-17) experiencing physical or psychological aggression (%),Reduced child violence,7,NA,TRUE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX',Multiple survey data,0% by 2030,0% by 2030
SDG421_devontrack,devontrack,SE_DEV_ONTRK,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 4.2.1,Developmentally on Track,%,%,"Proportion of children under 5 developmentally on track (health, learning and psychosocial well-being) (%)",Developmentally on track under 5,4,NA,FALSE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX',Multiple survey data,100% by 2030 from latest value,80% by 2030
SDG712_cleanfuel,fuel,PHE_HHAIR_PROP_POP_CLEAN_FUELS,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 7.1.2,Clean Household Fuels,%,%,Proportion of population with primary reliance on clean fuels (%),Clean household fuels,16,NA,FALSE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'RESIDENCEAREATYPE_TOTL',"Global Health Observatory (GHO), World Health Organisation (WHO).",100% by 2030,Business as usual for high income countries and best rate of change between 2013 and 2015 in the region for other countries
HP,hpop_healthier,NA,NA,FALSE,TRUE,FALSE,FALSE,TRUE,NA,Population healthier,NA,NA,Overall HPOP Population healthier,Overall HPOP Population healthier,NA,NA,NA,NA,NA,NA,NA
HP_dbl_cntd,hpop_healthier_dbl_cntd,NA,NA,FALSE,TRUE,FALSE,FALSE,TRUE,NA,Population healthier (with double counting),NA,NA,Overall HPOP Population healthier (with double counting),Overall HPOP Population healthier (with double counting),NA,NA,NA,NA,NA,NA,NA
NUHL,hpop_healthier_minus,NA,NA,FALSE,TRUE,FALSE,FALSE,TRUE,NA,Population less healthy,NA,NA,Population less healthy,Population less healthy,NA,NA,NA,NA,NA,NA,NA
NA,hpop_healthier_minus_dbl_cntd,NA,NA,FALSE,TRUE,FALSE,FALSE,TRUE,NA,Population less healthy (with double counting),NA,NA,Population less healthy (with double counting),Population less healthy (with double counting),NA,NA,NA,NA,NA,NA,NA
NHL,hpop_healthier_plus,NA,NA,FALSE,TRUE,FALSE,FALSE,TRUE,NA,Population healthier,NA,NA,Population healthier,Population healthier,NA,NA,NA,NA,NA,NA,NA
NA,hpop_healthier_plus_dbl_cntd,NA,NA,FALSE,TRUE,FALSE,FALSE,TRUE,NA,Population healthier (with double counting),NA,NA,Population healthier (with double counting),Population healthier (with double counting),NA,NA,NA,NA,NA,NA,NA
SDG621_safesanitation,hpop_sanitation,WSH_SANITATION_SAFELY_MANAGED,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 6.2.1,Safely Managed Sanitation,%,%,Proportion of population using safely managed sanitation services (%),Safely managed sanitation,13,NA,FALSE,$filter=SpatialDimType eq 'COUNTRY',"WHO/UNICEF Joint Monitoring Programme for Water Supply, Sanitation and Hygiene (2021)",100% by 2030,Best value in quintile
NA,hpop_sanitation_rural,WSH_SANITATION_SAFELY_MANAGED,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 6.2.1,Safely Managed Sanitation (rural),%,%,Proportion of rural population using safely managed sanitation services (%),Safely managed sanitation (rural),15,NA,FALSE,NA,NA,100% by 2030,Best value in quintile
NA,hpop_sanitation_urban,WSH_SANITATION_SAFELY_MANAGED,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 6.2.1,Safely Managed Sanitation (urban),%,%,Proportion of urban population using safely managed sanitation services (%),Safely managed sanitation (urban),14,NA,FALSE,NA,NA,100% by 2030,Best value in quintile
hpop_tobacco,hpop_tobacco,M_Est_tob_curr,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 3.a.1,Tobacco Use,%,%,Prevalence of tobacco use in adults aged 15+ (age-standardized) (%),Tobacco non-use,19,NA,TRUE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX' and Dim2 eq null,"WHO global report on trends in prevalence of tobacco use 2000-2025, 4th edition, 2021",-30 percent from 2010 value,"Best of Business as usual, halt the rise to 2018 value, and -30 percent from 2010 value"
SDG521_ipviolence,ipv,SDGIPVLT,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 5.6.1,Intimate Partner Violence (F),%,%,Proportion of women (15-49) subjected to violence by current or former intimate partner (%),Reduced partner violence,6,NA,TRUE,NA,WHO GHO,0% by 2030,0% by 2030
SDG222_overweight,overweight,NUTOVERWEIGHTPREV,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 2.2.3,Childhood Overweight,%,%,Prevalence of overweight in children under 5 (%),Children not overweight,3,NA,TRUE,NA,"Joint Child Malnutrition Estimates (2021 Edition), United Nations Children's Fund (UNICEF), World Health Organisation (WHO) and the World Bank Group.",0% by 2030,"Best of Business as usual, and AROC target of 3"
SDG1162_pm25,pm25,SDGPM25,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 11.6.2,Mean Particulates (PM 2.5),µg/m3,%,Annual mean concentrations of fine particulate matter (PM2.5) in urban areas (Âµg/m3),Ambient air quality,18,NA,TRUE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'RESIDENCEAREATYPE_TOTL',Half the world's population are exposed to increasing air pollution. Clim Atmos Sci (2020),5% by 2030,"Best of business as usual, and linear change of -2% from 2018 value"
SDG361_road,road,RS_198,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 3.6.1,Road Deaths,per 100 000 population,%,Road traffic mortality rate (per 100 000 population),Road safety,9,NA,TRUE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX',"Global Status Report on Road Safety, WHO (2018)",-50% from 2020 to 2030.,"Best of business as usual, and -50% from 2020 to 2030."
SDG221_stunting,stunting,NUTSTUNTINGPREV,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 2.2.1,Childhood Stunting,%,%,Prevalence of stunting in children under 5 (%),Children not stunted,1,NA,TRUE,NA,"Joint Child Malnutrition Estimates (2021 Edition), United Nations Children's Fund (UNICEF), World Health Organisation (WHO) and the World Bank Group.",0% by 2030,"Best of business as usual, halt downwards trend to 2018 value, and AROC of -50% change between 2012 and 2030."
SDG342_suicide,suicide,SDGSUICIDE,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 3.4.2,Suicide Mortality,%,%,Suicide mortality rate (per 100 000 population),Reduced suicide attempts,8,NA,TRUE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX' and Dim2 eq 'AGEGROUP_YEARSALL',"Global Health Estimates 2020: Deaths by Cause, Age, Sex, by Country and by Region, 2000-2019. Geneva, World Health Organization",-33.333% points between 2015 and 2030,"Best of business as usual, halt downwards trend to 2018 value, and -33.333% points between 2015 and 2030."
WHA6610_transfats,transfats,UHCTRANSFATS,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,WHA66.10,Trans Fat Policy,Yes/No,%,Best practice policy implemented for industrially produced trans fatty acids (Y/N),Healthy fats,21,NA,FALSE,NA,GINA - TFA Country Score Card,100% by 2025,100% by 2025
SDG222_wasting,wasting,NUTRITION_WH_2,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 2.2.2,Childhood Wasting,%,%,Prevalence of wasting in children under 5 (%),Children not wasted,2,NA,TRUE,"$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX' and Dim2 eq null",Multiple survey data. UNICEF/WHO/World Bank.,0% by 2030,"Best of halt downwards trend to 2018 value, and AROC by 3% by 2030."
SDG611_safedrinking,water,WSH_WATER_SAFELY_MANAGED,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 6.1.1,Safely Managed Water,per 100 000 population,%,Proportion of population using safely managed drinking water services (%),Safely managed water,10,NA,FALSE,$filter=SpatialDimType eq 'COUNTRY',"WHO/UNICEF Joint Monitoring Programme for Water Supply, Sanitation and Hygiene (2021)",100% by 2030,Best value in quintile
NA,water_rural,WSH_WATER_SAFELY_MANAGED,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 6.1.1,Safely Managed Water (rural),%,%,Proportion of urban population using safely managed drinking water services (%),Safely managed water (rural),12,NA,FALSE,NA,NA,100% by 2030,Best value in quintile
NA,water_urban,WSH_WATER_SAFELY_MANAGED,unproj_data,FALSE,TRUE,FALSE,FALSE,FALSE,SDG 6.1.1,Safely Managed Water (urban),%,%,Proportion of urban population using safely managed drinking water services (%),Safely managed water (urban),11,NA,FALSE,NA,NA,100% by 2030,Best value in quintile
UHC_antenatalcare,anc4,WHS4_154,unproj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.2,Pregnancy and delivery care,%,%,Antenatal care coverage (+4 visits) 2 (%),Antenatal care,23,RMNCH,FALSE,NA,NA,100% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,"Best of easiest between 95% by 2030 and AROC top 10 countries and Business as usual when there is data. Otherwise, business as usual"
UHC_hiv,art,HIV_ARTCOVERAGE,unproj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.6,HIV treatment,%,%,HIV ART coverage 4,HIV treatment,27,infec_diseases,FALSE,NA,NA,100% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,"Best of 95% by 2030 and business as usual for countries with data. Otherwise, business as usual."
ASC,asc,NA,NA,TRUE,FALSE,FALSE,FALSE,TRUE,NA,Average Service Coverage,%,%,Average Service Coverage,NA,65,UHC,NA,NA,NA,NA,NA
UHC_hospitalbeds,beds,WHS6_102,unproj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.12,Hospital access,per 10 000 population,%,Hospital beds density*,Hospital bed density,33,service_cap_access,FALSE,NA,NA,18 by 2030 if value <18. Otherwise business as usual,"Best of AROC top 10 countries and business as usual for countries with values <18. Otherwise, business as usual."
WHA6610_bloodpressure,bp,NCD_HYP_TREATMENT_A,unproj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.9,Prevention of cardiovascular disease,%,%,Hypertension treatment coverage,Hypertension treatment coverage,30,ncd,FALSE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX',NA,100% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,Best of 80% by 2030 and business as usual.
SDG3c1_densitydoctors,doctors,HWF_0001,proj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.14,Health workforce - Density of doctors,per 10 000 population,%,Density of doctors,Doctor density,35,service_cap_access,FALSE,NA,NA,154.74 by 2030 if >=2 values reported in timeseries. Otherwise business as usual,Business as usual.
SDG3b1_dtp3,dtp3,WHS4_100,unproj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.3,Child immunization,%,%,DPT3 Immunization coverage (%),Child immunization (DTP3),24,RMNCH,FALSE,NA,NA,100% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,Reach technical program targets by 2030
SDG381_houseexp10,fh,FINPROTECTION_CATA_TOT_10_POP,proj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.2,Financial hardship,%,%,SDG 3.8.2 Proportion of population with household expenditures on health >10% of total household expenditure or income **,Financial hardship,38,fin_hardship,TRUE,NA,NA,0% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,Best of halt the rise to 2018 value and business as usual.
SDG371_famplan,fp,FAMILYPLANNINGUNPDUHC,proj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.1,Family planning,%,%,Demand satisfied with modern methods (married women or in-union) 1 (%),Family planning,22,RMNCH,FALSE,NA,NA,100% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,"For BRN, CYP, FSM, ISL, LUX, and SYC, business as usual. Otherwise, best of quintile scenario and business as usual"
UHC_glucose,fpg,NCD_GLUC_04,unproj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.10,Management of diabetes,%,%,Raised fasting blood glucose,Raised fasting blood glucose,31,ncd,TRUE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX',NA,0% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,Halt the rise to 2010 value
UHC_healthprof,hwf,NA,proj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.13,Health workforce,per 10 000 population,%,Health worker density*,Health worker density,34,service_cap_access,FALSE,NA,NA,154.74 by 2030 if >=2 values reported in timeseries. Otherwise business as usual,"For countries above the 2018 global media, business as usual. Otherwise, aiming at the average ROC of the top 5 countries."
UHC_nets,itn,MALARIA_ITNPOP,proj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.7,Malaria prevention,%,%,ITN use 5,Insecticide-treated nets,28,infec_diseases,FALSE,NA,NA,100% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,Best of 80% by 2030 and business as usual.
SDG3c1_densitynurses,nurses,HWF_0006,proj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.15,Health workforce - Density of nurses/midwives,per 10 000 population,%,Density of nurses/midwives,Nurses/midwives density,36,service_cap_access,FALSE,NA,NA,154.74 by 2030 if >=2 values reported in timeseries. Otherwise business as usual,Business as usual.
UHC_pneumoniacare,pneumo,WHS4_106,unproj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.4,Child treatment,%,%,Care seeking for suspected pneumonia (%),Care-seeking for suspected pneumonia,25,RMNCH,FALSE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX',NA,100% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,"Best of 90% by 2025 and business as usual for countries with >=2 points since 2000. Otherwise, business as usual"
NA,pneumo_mort,NA,unproj_data,TRUE,FALSE,FALSE,TRUE,FALSE,NA,NA,NA,NA,NA,NA,NA,NA,FALSE,NA,NA,NA,NA
UHC_tbtreatment,tb,TB_1,proj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.5,TB treatment,%,%,TB treatment coverage,TB treatment coverage,26,infec_diseases,FALSE,NA,NA,100% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,90% by 2025
UHC_basicsanitation,uhc_sanitation,WSH_SANITATION_BASIC,unproj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.8,Water and sanitation,%,%,Use of basic sanitation,At least basic sanitation,29,infec_diseases,FALSE,$filter=SpatialDimType eq 'COUNTRY' and Dim1 eq 'RESIDENCEAREATYPE_TOTL',"WHO/UNICEF Joint Monitoring Programme for Water Supply, Sanitation and Hygiene (2021)",100% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,Reach mean of their quintile
UHC,uhc_sm,NA,NA,TRUE,FALSE,FALSE,FALSE,TRUE,NA,UHC Single Measure,%,%,UHC Single Measure,UHC Single Measure,66,UHC,NA,NA,NA,NA,NA
uhc_tobacco,uhc_tobacco,M_Est_tob_curr_std,proj_data,TRUE,FALSE,FALSE,FALSE,FALSE,SDG 3.8.1.11,Tobacco control,%,%,Tobacco use prevalence* 3,Tobacco non-use,32,ncd,TRUE,$filter=SpatialDimType eq 'COUNTRY' and  Dim1 eq 'SEX_BTSX' and Dim2 eq null,"WHO global report on trends in prevalence of tobacco use 2000-2025, 4th edition, 2021",100% by 2030 if >=2 values reported in timeseries. Otherwise business as usual,"Best of -30% between 2010 and 2025 and business as usual for countries with estimated data. Otherwise, business as usual."
HE_cholera,cholera,NA,NA,FALSE,FALSE,TRUE,FALSE,TRUE,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
NA,cholera_campaign,NA,proj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREV7,Cholera - Campaign,%,%,Cholera - Campaign,Cholera - Campaign,58,prevent,FALSE,NA,NA,Business as usual,"Add planned cholera campaign on Cholera Roadmap 2030 when they don't replace one. If numerator is not provided, the best historical coverage is achieved."
HE_cholera_CampignSize,cholera_campaign_denom,NA,proj_data,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,NA,NA,NA,NA,NA,NA,FALSE,NA,NA,NA,NA
HE_cholera_Campign,cholera_campaign_num,NA,proj_data,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,NA,NA,NA,NA,NA,NA,FALSE,NA,NA,NA,NA
HE_detect,detect,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,DECREP1,Time to detect,days,%,Time to detect,Time to detect,60,detect_respond,FALSE,NA,NA,Business as usual,Business as usual
HE_events,detect_respond,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,DECREP4,Time to detect and respond,days,%,Time to detect and respond,Time to detect and respond,63,detect_respond,FALSE,NA,NA,Business as usual,Business as usual
HE_legislation,espar01,IHRSPAR_CAPACITY01,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP1,Legislation and Financing,%,%,Legislation and Financing,Legislation and Financing,39,prepare,FALSE,NA,NA,NA,NA
NA,espar01_01,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP01_01,NA,%,%,"Legislation, laws, regulations, policy, administrative requirements or other government instruments to implement the IHR",Legislation and policies for IHR implementation,NA,NA,FALSE,NA,NA,NA,NA
NA,espar01_02,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP01_02,NA,%,%,Financing for the implementation of IHR capacities,Financing of IHR capacities,NA,NA,FALSE,NA,NA,NA,NA
NA,espar01_03,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP01_03,NA,%,%,Financing mechanism and funds for timely response to public health emergencies,Funds for timely response,NA,NA,FALSE,NA,NA,NA,NA
HE_coordination,espar02,IHRSPAR_CAPACITY02,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP2,IHR functions,%,%,IHR coordination and National IHR Focal Point Functions,IHR functions,40,prepare,FALSE,NA,NA,NA,NA
NA,espar02_01,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP02_01,NA,%,%,National IHR Focal Point functions under IHR,IHR focal point functions,NA,NA,FALSE,NA,NA,NA,NA
NA,espar02_02,IHRSPAR_CAPACITY02,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP02_02,NA,%,%,Multisectoral IHR coordination mechanisms,Multisectoral IHR coordination mechanisms,NA,NA,FALSE,NA,NA,NA,NA
HE_zoonosis,espar03,IHRSPAR_CAPACITY03,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP3,Zoonotic interface,%,%,Zoonotic events and the human-animal interface,Zoonotic interface,41,prepare,FALSE,NA,NA,NA,NA
HE_food,espar04,IHRSPAR_CAPACITY04,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP4,Food safety,%,%,Food safety,Food safety,42,prepare,FALSE,NA,NA,NA,NA
HE_laboratory,espar05,IHRSPAR_CAPACITY05,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP5,Laboratory,%,%,Laboratory,Laboratory,43,prepare,FALSE,NA,NA,NA,NA
NA,espar05_01,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP05_01,NA,%,%,Specimen referral and transport system,Specimen referral and transport system,NA,NA,FALSE,NA,NA,NA,NA
NA,espar05_02,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP05_02,NA,%,%,Implementation of a laboratory biosafety and biosecurity regime,Laboratory biosafety and security,NA,NA,FALSE,NA,NA,NA,NA
NA,espar05_03,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP05_03,NA,%,%,Access to laboratory testing capacity for priority diseases,Access to laboratory testing,NA,NA,FALSE,NA,NA,NA,NA
HE_surveillance,espar06,IHRSPAR_CAPACITY06,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP6,Surveillance,%,%,Surveillance,Surveillance,44,prepare,FALSE,NA,NA,NA,NA
NA,espar06_01,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP06_01,NA,%,%,Early warning function: indicator-and event-based surveillance,Indicator and event-based surveillance,NA,NA,FALSE,NA,NA,NA,NA
NA,espar06_02,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP06_02,NA,%,%,"Mechanism for event management (verification, risk assessment, analysis investigation)",Mechanism for event management,NA,NA,FALSE,NA,NA,NA,NA
HE_hr,espar07,IHRSPAR_CAPACITY07,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP7,Human resources,%,%,Human resources,Human resources,45,prepare,FALSE,NA,NA,NA,NA
HE_preparedness,espar08,IHRSPAR_CAPACITY08,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP8,National Health Emergency Framework,%,%,National Health Emergency Framework,National Health Emergency Framework,46,prepare,FALSE,NA,NA,NA,NA
NA,espar08_01,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP08_01,NA,%,%,Planning for emergency preparedness and response mechanism,Preparedness for emergency and response mechanism,NA,NA,FALSE,NA,NA,NA,NA
NA,espar08_02,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP08_02,NA,%,%,Management of health emergency response operations,Management of health emergency response operations,NA,NA,FALSE,NA,NA,NA,NA
HE_preparedness,espar08_03,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP08_03,NA,%,%,Emergency resource mobilization,Emergency resource mobilization,NA,NA,FALSE,NA,NA,NA,NA
HE_response,espar09,IHRSPAR_CAPACITY09,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP9,Health service provision,%,%,Health service provision,Health service provision,47,prepare,FALSE,NA,NA,NA,NA
NA,espar09_01,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP09_01,NA,%,%,Case management capacity for IHR relevant hazards,Case management for IHR hazards,NA,NA,FALSE,NA,NA,NA,NA
NA,espar09_02,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP09_02,NA,%,%,Capacity for infection prevention and control and chemical and radiation decontamination,Prevention and control of radiation,NA,NA,FALSE,NA,NA,NA,NA
NA,espar09_03,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP09_03,NA,%,%,Access to essential health services,Access to health services,NA,NA,FALSE,NA,NA,NA,NA
HE_risk,espar10,IHRSPAR_CAPACITY10,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP10,Risk communication,%,%,$Risk communication,Risk communication,48,prepare,FALSE,NA,NA,NA,NA
HE_points,espar11,IHRSPAR_CAPACITY11,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP11,Points of entry,%,%,Points of entry,Points of entry,49,prepare,FALSE,NA,NA,NA,NA
NA,espar11_01,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP11_01,NA,%,%,"Core capacity requirements at all times for designated airports, ports and ground crossings",Core capacity for points of entry,NA,NA,FALSE,NA,NA,NA,NA
NA,espar11_02,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP11_02,NA,%,%,Effective public health response at points of entry,Response at points of entry,NA,NA,FALSE,NA,NA,NA,NA
HE_chemical,espar12,IHRSPAR_CAPACITY12,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP12,Chemical events,%,%,Chemical events,Chemical events,50,prepare,FALSE,NA,NA,NA,NA
HE_radionuclear,espar13,IHRSPAR_CAPACITY13,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREP13,Radiation emergencies,%,%,Radiation emergencies,Radiation emergencies,51,prepare,FALSE,NA,NA,NA,NA
HE_hepi,hep_idx,NA,NA,FALSE,FALSE,TRUE,FALSE,TRUE,HEPI,HEPI,%,%,HEP index,HEP index,64,NA,NA,NA,NA,NA,NA
HE_numberofpeople,hep_num,NA,NA,FALSE,FALSE,TRUE,FALSE,TRUE,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA,NA
NA,measles,NA,NA,FALSE,FALSE,TRUE,FALSE,TRUE,NA,NA,%,%,Measles - Campaign and Routine combined,Measles,NA,NA,NA,NA,NA,NA,NA
NA,measles_campaign,NA,NA,FALSE,FALSE,TRUE,FALSE,TRUE,NA,NA,%,%,Measles - Campaign,Measles - Campaign,NA,NA,NA,NA,NA,Business as usual,NA
NA,measles_campaign_denom,NA,NA,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Measles - Campaign target population (denominator),Measles Campaign Denominator,NA,NA,FALSE,NA,NA,NA,NA
NA,measles_campaign_num,NA,NA,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Measles - Campaign reached population (numerator),Measles Campaign Numerator,NA,NA,FALSE,NA,NA,NA,NA
HE_measles_Routine,measles_routine,WHS8_110,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREV2,MCV1 - Routine,%,%,Measles (MCV1) - Routine,MCV1 - Routine,53,prevent,FALSE,NA,NA,Business as usual,AROC 20% percent change between 2013 and 2025
NA,measles_routine_num,NA,NA,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Measles - Routine reached population (numerator),MCV1 - Routine (numerator),NA,NA,FALSE,NA,NA,NA,NA
NA,meningitis,NA,NA,FALSE,FALSE,TRUE,FALSE,TRUE,NA,NA,%,%,Meningitis - Campaigns and Routine combined,Meningitis,NA,NA,NA,NA,NA,NA,NA
NA,meningitis_campaign,NA,proj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREV6,Meningitis - Campaign,%,%,Meningitis - Campaign,Meningitis - Campaign,57,prevent,FALSE,NA,NA,Business as usual,"Add planned campaign when they don't replace one. If numerator is not provided, the best historical coverage is achieved."
HE_meningitis_CampignSize,meningitis_campaign_denom,NA,proj_data,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Meningitis - Campaign target population (denominator),Meningitis Campaign Denominator,NA,NA,FALSE,NA,NA,NA,NA
HE_meningitis_Campign,meningitis_campaign_num,NA,proj_data,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Meningitis - Campaign reached population (numerator),Meningitis Campaign Numerator,NA,NA,FALSE,NA,NA,NA,NA
HE_meningitis_Routine,meningitis_routine,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREV5,Meningitis - Routine,%,%,Meningitis - Routine,Meningitis - Routine,56,prevent,FALSE,NA,NA,Business as usual,90% by 2030 when there is reported data
NA,meningitis_routine_num,NA,NA,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Meningitis - Routine reached population (numerator),MCV1 - Routine (numerator),NA,NA,FALSE,NA,NA,NA,NA
HE_notify,notify,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,DECREP2,Time to notify,days,%,Time to notify,Time to notify,61,detect_respond,FALSE,NA,NA,Business as usual,Business as usual
NA,polio,NA,NA,FALSE,FALSE,TRUE,FALSE,TRUE,NA,NA,%,%,Polio - Campaigns and routine combined,Polio,NA,NA,NA,NA,NA,NA,NA
HE_polio_Routine,polio_routine,WHS4_544,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREV1,Polio 3 - Routine,%,%,Polio 3 - Routine,Polio 3 - Routine,52,prevent,FALSE,NA,NA,Business as usual,AROC 20% percent change between 2015 and 2025
NA,polio_routine_num,NA,NA,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Polio - Routine reached population (numerator),Polio - Routine (numerator),NA,NA,FALSE,NA,NA,NA,NA
HE_vaccinecov,prevent,NA,NA,FALSE,FALSE,TRUE,FALSE,TRUE,PREV8,Prevent,%,%,Prevent,Prevent,59,prevent,FALSE,NA,NA,NA,NA
HE_respond,respond,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,DECREP3,Time to respond,days,%,Time to respond,Time to respond,62,detect_respond,FALSE,NA,NA,Business as usual,Business as usual
HE_surviving_infants,surviving_infants,NA,proj_data,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Surviving infants,Surviving infants,NA,NA,FALSE,NA,NA,NA,NA
NA,yellow_fever,NA,NA,FALSE,FALSE,TRUE,FALSE,TRUE,NA,NA,#,#,Yellow fever - Campaign and routine combined,Yellow fever,NA,NA,NA,NA,NA,NA,NA
NA,yellow_fever_campaign,NA,proj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREV4,Yellow Fever - Campaign,%,%,Yellow Fever - Campaign,Yellow fever - Campaign,55,prevent,FALSE,NA,NA,Business as usual,"Add planned campaign when they don't replace one. If numerator is not provided, the best historical coverage is achieved."
HE_yellowfever_CampignSize,yellow_fever_campaign_denom,NA,proj_data,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Yellow Fever - Campaign target population (denominator),Yellow fever Campaign Denominator,NA,NA,FALSE,NA,NA,NA,NA
HE_yellowfever_Campign,yellow_fever_campaign_num,NA,proj_data,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Yellow fever - Campaign reached population (numerator),Yellow fever Campaign Numerator,NA,NA,FALSE,NA,NA,NA,NA
HE_yellowfever_Routine,yellow_fever_routine,NA,unproj_data,FALSE,FALSE,TRUE,FALSE,FALSE,PREV3,Yellow Fever - Routine,%,%,Yellow Fever - Routine,Yellow fever - Routine,54,prevent,FALSE,NA,NA,Business as usual,AROC 20% percent change between 2015 and 2025
NA,yellow_fever_routine_num,NA,NA,FALSE,FALSE,TRUE,FALSE,FALSE,NA,NA,#,#,Yellow fever - Routine reached population (numerator),Yellow fever - Routine (numerator),NA,NA,FALSE,NA,NA,NA,NA
HE_ihr,espar,SDGIHR2018,unproj_data,TRUE,FALSE,TRUE,FALSE,FALSE,SDG 3.8.1.16,Health security,%,%,IHR core capacity index*,IHR core capacity index,37,service_cap_access,FALSE,NA,NA,Business as usual,Best of the regional average (WHO regions) and the value last year of the last year with complete espar data (with categories and sub-categories)
