spb/countryatlas

1# WHO Global Health Observatory (GHO) mappings — connector `who` (id = this file name).2# Every code below was verified on 2026-09-11 against https://ghoapi.azureedge.net/api/Indicator and the data endpoint3# (see docs/sources-research.md §5). `params` become OData `$filter` clauses (Dim1/Dim2/Dim3 = SEX / AGEGROUP / …);4# each combination was checked to yield ONE row per (country, year). Inline WHO mappings for life-expectancy,5# healthy-life-expectancy, physicians-per-1000 and obesity-prevalence live in indicators.yaml.6# WB carries the same series for most of these (priority 1) → WHO is the fallback at priority 2.7sources:8- {indicator: smoking-prevalence, dataset: GHO, code: M_Est_tob_curr, params: {Dim1: SEX_BTSX}, priority: 2,9   notes: "Estimate of current tobacco use prevalence (%), age-standardised, 15+. Includes projections to 2030 (is_forecast)."}10- {indicator: suicide-rate, dataset: GHO, code: SDGSUICIDE, params: {Dim1: SEX_BTSX, Dim2: AGEGROUP_YEARSALL}, priority: 2,11   notes: "Crude suicide rate per 100 000 population, both sexes, all ages."}12- {indicator: infant-mortality-rate, dataset: GHO, code: MDG_0000000001, params: {Dim1: SEX_BTSX, Dim2: AGEGROUP_MONTHS0-11}, priority: 2,13   notes: "UN IGME infant mortality rate per 1 000 live births, both sexes."}14- {indicator: under-5-mortality-rate, dataset: GHO, code: MDG_0000000007,15   params: {Dim1: SEX_BTSX, Dim2: AGEGROUP_YEARSUNDER5, Dim3: WEALTHQUINTILE_TOTL}, priority: 2,16   notes: "UN IGME under-five mortality rate per 1 000 live births, both sexes, all wealth quintiles."}17- {indicator: maternal-mortality-ratio, dataset: GHO, code: MDG_0000000026, priority: 2,18   notes: "MMEIG maternal mortality ratio per 100 000 live births."}19- {indicator: health-expenditure-pct-gdp, dataset: GHO, code: GHED_CHEGDP_SHA2011, priority: 2,20   notes: "Current health expenditure (CHE) as % of GDP, Global Health Expenditure Database (SHA 2011)."}21- {indicator: safely-managed-water, dataset: GHO, code: WSH_WATER_SAFELY_MANAGED, params: {Dim1: RESIDENCEAREATYPE_TOTL}, priority: 2,22   notes: "JMP: population using safely managed drinking-water services (%), total (urban + rural)."}23- {indicator: alcohol-consumption, dataset: GHO, code: SA_0000001688, params: {Dim1: SEX_BTSX}, priority: 2,24   notes: "Total alcohol per capita (15+) consumption in litres of pure alcohol, three-year average (SDG 3.5.2)."}25- {indicator: measles-immunization, dataset: GHO, code: WHS8_110, priority: 2,26   notes: "MCV1 coverage among 1-year-olds (%), WUENIC. (WHS4_100 is DTP3, not measles.)"}27- {indicator: dtp3-immunization, dataset: GHO, code: WHS4_100, priority: 2,28   notes: "DTP3 coverage among 1-year-olds (%), WUENIC."}29- {indicator: nurses-per-1000, dataset: GHO, code: HWF_0006, priority: 2, transform: "x/10",30   notes: "Nursing and midwifery personnel per 10 000 population → per 1 000 (x/10)."}31- {indicator: hospital-beds-per-1000, dataset: GHO, code: WHS6_102, priority: 2, transform: "x/10",32   notes: "Hospital beds per 10 000 population → per 1 000 (x/10)."}33- {indicator: road-traffic-deaths, dataset: GHO, code: RS_198, priority: 2,34   notes: "Estimated road traffic death rate per 100 000 population (Global status report; one year per edition)."}35