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Table 2 Disease-related studies that have utilized large area gridded population datasets.

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 [4752], LandScan [53, 54], UNEP [55], GRUMP [24, 25, 28, 3032, 5658]
  Clinical cases GPW [59], GRUMP [8]
  Intervention coverage GRUMP [60]
  Funding coverage GRUMP [57, 61]
  Risk mapping GPW [6264], UNEP [65], GRUMP [66]
  Infection movements GRUMP [29, 30]
  Urbanization effects GPW [67], GRUMP [15]
Hookworm Populations at risk GPW [68, 69]
Influenza Epidemic modeling GPW [7073], LandScan [7, 74, 75], GRUMP [76]
  Risk mapping LandScan [77, 78]
Yellow fever Populations at risk GRUMP [79]
Dengue Populations at risk GRUMP [79]
  Risk mapping USGS [21], LandScan [80, 81]
Filariasis Populations at risk UNEP [82]
Helminths Populations at risk GPW [52, 83], UNEP[84]
Bovine TB Risk mapping LandScan [85, 86], GPW [86]
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]
  1. GPW = Gridded Population of the World, GRUMP = Global Rural Urban Mapping Project, UNEP = United Nations Environment Programme Global Population Databases, USGS = United States Geological Survey Population datasets.