From: The effects of spatial population dataset choice on estimates of population at risk of disease
Disease | Application | Population map used [Reference] |
---|---|---|
Malaria | Populations at risk | GPW [47–52], LandScan [53, 54], UNEP [55], GRUMP [24, 25, 28, 30–32, 56–58] |
 | Clinical cases | |
 | Intervention coverage | GRUMP [60] |
 | Funding coverage | |
 | Risk mapping | |
 | Infection movements | |
 | Urbanization effects | |
Hookworm | Populations at risk | |
Influenza | Epidemic modeling | |
 | Risk mapping | |
Yellow fever | Populations at risk | GRUMP [79] |
Dengue | Populations at risk | GRUMP [79] |
 | Risk mapping | |
Filariasis | Populations at risk | UNEP [82] |
Helminths | Populations at risk | |
Bovine TB | Risk mapping | |
Trypanosomiasis | Risk mapping | UNEP [87] |
Onchocerciasis | Populations at risk | GPW [88] |
Leprosy | Risk mapping | GPW [89] |
HIV | Prevalence analyses | LandScan [90] |
General | Trends in emerging diseases | GPW [91] |
 | Health of schoolchildren | UNEP [92] |