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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 [47–52], LandScan [53, 54], UNEP [55], GRUMP [24, 25, 28, 30–32, 56–58]

 

Clinical cases

GPW [59], GRUMP [8]

 

Intervention coverage

GRUMP [60]

 

Funding coverage

GRUMP [57, 61]

 

Risk mapping

GPW [62–64], 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 [70–73], 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.