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Table 2 Infectious disease-related studies that have utilized large-scale spatial population databases (adapted from [34])

From: Large-scale spatial population databases in infectious disease research

Disease Application Population map used [Reference]
Malaria Populations at risk GPW [108, 122, 123, 132, 134, 135, 138], Landscan [109, 133], UNEP [107], GRUMP [110, 113115, 124, 127, 128, 139]
  Clinical cases GPW [111], GRUMP [112]
  Intervention coverage GRUMP [126]
  Funding coverage GRUMP [129]
  Risk mapping GPW [81, 88, 90], UNEP [82], GRUMP [110]
  Infection movements GRUMP [128], GRUMP and AfriPop [101]
  Urbanization effects GPW [78], GRUMP [36]
Helminths Populations at risk GPW [118, 122, 123, 140, 141], GRUMP [142, 143], UNEP [117, 119]
  Risk mapping Landscan [89]
Influenza Epidemic modelling GPW [94, 95, 99, 100], Landscan [92, 93, 96], GRUMP [91]
  Risk mapping GRUMP [85], Landscan [79, 83]
Yellow fever Populations at risk GRUMP [80]
Dengue Populations at risk GRUMP [80]
  Risk mapping UNEP [121], Landscan [86, 87]
Trypanosomiasis Populations at risk Landscan [120]
  Risk mapping UNEP [77]
Bovine TB Risk mapping Landscan [84, 144], GPW [144]
HIV Prevalence analyses Landscan [76]
Leprosy Risk mapping GPW [75]
Poliovirus Incidence analyses GPW [74]
General Trends in emerging diseases GPW [73]
  Health of schoolchildren UNEP [145]