Large-scale spatial population databases in infectious disease research

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

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, 113–115, 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]

ISSN: 1476-072X