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Developing High-Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia

Foundational high-resolution geospatial data products for population, settlements, infrastructure, and boundaries may greatly enhance the efficient planning of resource allocation during health sector interventions. To ensure the relevance and sustainability of such products, government partners mus...

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Detalles Bibliográficos
Autores principales: Borkovska, Olena, Pollard, Derek, Hamainza, Busiku, Kooma, Emmanuel, Renn, Silvia, Schmidt, Jolynn, Engin, Hasim, Heaton, Matthew, Miller, John M, Psychas, Paul, Riley, Christina, Martin, Annie, Nyirenda, James, Bwalya, Frazer, Winters, Anna, Sobel, Corey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532120/
https://www.ncbi.nlm.nih.gov/pubmed/36203504
http://dx.doi.org/10.1155/2022/2941013
Descripción
Sumario:Foundational high-resolution geospatial data products for population, settlements, infrastructure, and boundaries may greatly enhance the efficient planning of resource allocation during health sector interventions. To ensure the relevance and sustainability of such products, government partners must be involved from the beginning in their creation, improvement, and/or management, so they can be successfully applied to public health campaigns, such as malaria control and prevention. As an example, Zambia had an ambitious strategy of reaching the entire population with malaria vector control campaigns by late 2020 or early 2021, but they lacked the requisite accurate and up-to-date data on infrastructure and population distribution. To address this gap, the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) program, Akros, and other partners developed maps and planning templates to aid Zambia's National Malaria Elimination Program (NMEP) in operationalizing its strategy.