GRID3 NGA - Exposure to COVID-19 Risk Score at a 1km Squared Resolution

The exposure risk score equally weights three components: 1) population density, 2) proximity to others in the household and 3) water, sanitation, and hygiene. Three indicators are equally weighted within the proximity to others in the household component: intergenerational households (household has a child less than eleven years old and a person above 60 years old), average number of household members per sleeping room, and adults aged 15 to 49 employed in essential occupations (health professions, construction, manufacturing, transport, sales, textiles, protective services). Five indicators are equally weighted within the water, sanitation, and hygiene component: soap for hand washing inside the home is unavailable, water for handwashing inside the home is unavailable, household must walk 30 or more minutes roundtrip to collect drinking water, household shares toilet with other households or does not have a toilet, and household does not have piped-in drinking water. Population density is defined as population at the 1km squared level. Indicators within components are combined with z-scores at the 1km squared grid level. Source: Fraym 2020 The Fraym platform weaves together the latest satellite imagery and geostatistical datasets with professionally enumerated household surveys. This allows for the disaggregation and re-aggregation of large datasets to cover any geographically bounded area. Indicators are drawn and harmonized from a wide variety of household surveys and other data sources. These include the following sources: USAID: Demographic and health surveys United Nations: UN population division database World Bank: Enterprise surveys, living standards, global index surveys, and respective country statistics National Statistical Offices: National censuses and surveys covering population, businesses, health, housing, agriculture, and other areas International Monetary Fund: World economic outlook databases and respective country statistics National Air and Space Administration: Remote sensing satellite data, such as vegetation, temperature, and precipitation USGS: Landscan, Google Earth, GeoData Institute, OSM WorldPop: Population density by age groups