Developing High-Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia. (27th September 2022)

• Record Type: Journal Article
• Authors: 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
• Other Names: Nolan Melissa Academic Editor.
• Is Part Of: Journal of environmental and public health. Volume 2022(2022)
• Publication Date: 2022-09-27
• Subjects: Environmental health -- Periodicals; Occupational diseases -- Periodicals; Public health -- Periodicals; 613.105
• DOI: 10.1155/2022/2941013
• Languages: English
• ISSNs: 1687-9805

Abstract

Abstract : 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.