The utility of merging mechanistic and geospatial models for malaria intervention planning and policy guidance by Bertozzi-Villa, A

“…The first framework, focused on malaria transmission, uses machine learning tools and spatial data to identify key features for a mechanistic transmission model, then utilizes spatial data again to place mechanistic model results in a global context. …”

The DHS program's modeled surfaces spatial datasets by Burgert-Brucker, C, Dontamsetti, T, Gething, P

“…The maps are publicly available for download on the DHS Program Spatial Data Repository at http://spatialdata.dhsprogram.com/. …”

Defining the geographical range of the Plasmodium knowlesi reservoir. by Moyes, C, Henry, A, Golding, N, Huang, Z, Singh, B, Baird, J, Newton, P, Huffman, M, Duda, K, Drakeley, C, Elyazar, I, Anstey, N, Chen, Q, Zommers, Z, Bhatt, S, Gething, P, Hay, S

“…The ranked spatial data allowed us to assign an evidence score to 475 subnational areas in 19 countries and we present the results on a map of the Southeast and South Asia region.We have ranked subnational areas within the potential disease range according to evidence for presence of a disease risk to humans, providing geographical evidence to support decisions on prevention, management and prophylaxis. …”

Ranking of elimination feasibility between malaria-endemic countries. by Tatem, A, Smith, D, Gething, P, Kabaria, C, Snow, R, Hay, S

“…Experience gained from the Global Malaria Eradication Program (1955-72) identified a set of shared technical and operational factors that enabled some countries to successfully eliminate malaria. Spatial data for these factors were assembled for all malaria-endemic countries and combined to provide an objective, relative ranking of countries by technical, operational, and combined elimination feasibility. …”

Ranking of elimination feasibility between malaria-endemic countries by Tatem, A, Smith, D, Gething, P, Kabaria, C, Snow, R, Hay, S

“…Experience gained from the Global Malaria Eradication Program (1955-72) identified a set of shared technical and operational factors that enabled some countries to successfully eliminate malaria. Spatial data for these factors were assembled for all malaria-endemic countries and combined to provide an objective, relative ranking of countries by technical, operational, and combined elimination feasibility. …”

Geographical access to care at birth in Ghana: a barrier to safe motherhood. by Gething, P, Johnson, F, Frempong-Ainguah, F, Nyarko, P, Baschieri, A, Aboagye, P, Falkingham, J, Matthews, Z, Atkinson, P

“…METHODS: We assembled detailed spatial data on the population, health facilities, and landscape features influencing journeys. …”

The effects of spatial population dataset choice on estimates of population at risk of disease. by Tatem, A, Campiz, N, Gething, P, Snow, R, Linard, C

“…Where risks are heterogeneous in space or dependent on person-to-person transmission, spatial data on human population distributions are required to estimate infectious disease risks, burdens, and dynamics. …”

The effects of spatial population dataset choice on estimates of population at risk of disease by Tatem, A, Campiz, N, Gething, P, Snow, R, Linard, C

“…Where risks are heterogeneous in space or dependent on person-to-person transmission, spatial data on human population distributions are required to estimate infectious disease risks, burdens, and dynamics. …”