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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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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 |
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author | 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 |
author_facet | 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 |
author_sort | Borkovska, Olena |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9532120 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95321202022-10-05 Developing High-Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia 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 J Environ Public Health Research Article 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. Hindawi 2022-09-27 /pmc/articles/PMC9532120/ /pubmed/36203504 http://dx.doi.org/10.1155/2022/2941013 Text en Copyright © 2022 Olena Borkovska et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article 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 Developing High-Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia |
title | Developing High-Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia |
title_full | Developing High-Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia |
title_fullStr | Developing High-Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia |
title_full_unstemmed | Developing High-Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia |
title_short | Developing High-Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia |
title_sort | developing high-resolution population and settlement data for impactful malaria interventions in zambia |
topic | Research Article |
url | 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 |
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