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Determinants of MDA impact and designing MDAs towards malaria elimination
Malaria remains at the forefront of scientific research and global political and funding agendas. Malaria models have consistently oversimplified how mass interventions are implemented. Here, we present an individual based, spatially explicit model of P. falciparum malaria transmission that includes...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185997/ https://www.ncbi.nlm.nih.gov/pubmed/32293559 http://dx.doi.org/10.7554/eLife.51773 |
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author | Gao, Bo Saralamba, Sompob Lubell, Yoel White, Lisa J Dondorp, Arjen M Aguas, Ricardo |
author_facet | Gao, Bo Saralamba, Sompob Lubell, Yoel White, Lisa J Dondorp, Arjen M Aguas, Ricardo |
author_sort | Gao, Bo |
collection | PubMed |
description | Malaria remains at the forefront of scientific research and global political and funding agendas. Malaria models have consistently oversimplified how mass interventions are implemented. Here, we present an individual based, spatially explicit model of P. falciparum malaria transmission that includes all the programmatic implementation details of mass drug administration (MDA) campaigns. We uncover how the impact of MDA campaigns is determined by the interaction between implementation logistics, patterns of human mobility and how transmission risk is distributed over space. Our results indicate that malaria elimination is only realistically achievable in settings with very low prevalence and can be hindered by spatial heterogeneities in risk. In highly mobile populations, accelerating MDA implementation increases likelihood of elimination; if populations are more static, deploying less teams would be cost optimal. We conclude that mass drug interventions can be an invaluable tool towards malaria elimination in low endemicity areas, specifically when paired with effective vector control. |
format | Online Article Text |
id | pubmed-7185997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-71859972020-04-29 Determinants of MDA impact and designing MDAs towards malaria elimination Gao, Bo Saralamba, Sompob Lubell, Yoel White, Lisa J Dondorp, Arjen M Aguas, Ricardo eLife Epidemiology and Global Health Malaria remains at the forefront of scientific research and global political and funding agendas. Malaria models have consistently oversimplified how mass interventions are implemented. Here, we present an individual based, spatially explicit model of P. falciparum malaria transmission that includes all the programmatic implementation details of mass drug administration (MDA) campaigns. We uncover how the impact of MDA campaigns is determined by the interaction between implementation logistics, patterns of human mobility and how transmission risk is distributed over space. Our results indicate that malaria elimination is only realistically achievable in settings with very low prevalence and can be hindered by spatial heterogeneities in risk. In highly mobile populations, accelerating MDA implementation increases likelihood of elimination; if populations are more static, deploying less teams would be cost optimal. We conclude that mass drug interventions can be an invaluable tool towards malaria elimination in low endemicity areas, specifically when paired with effective vector control. eLife Sciences Publications, Ltd 2020-04-15 /pmc/articles/PMC7185997/ /pubmed/32293559 http://dx.doi.org/10.7554/eLife.51773 Text en © 2020, Gao et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Epidemiology and Global Health Gao, Bo Saralamba, Sompob Lubell, Yoel White, Lisa J Dondorp, Arjen M Aguas, Ricardo Determinants of MDA impact and designing MDAs towards malaria elimination |
title | Determinants of MDA impact and designing MDAs towards malaria elimination |
title_full | Determinants of MDA impact and designing MDAs towards malaria elimination |
title_fullStr | Determinants of MDA impact and designing MDAs towards malaria elimination |
title_full_unstemmed | Determinants of MDA impact and designing MDAs towards malaria elimination |
title_short | Determinants of MDA impact and designing MDAs towards malaria elimination |
title_sort | determinants of mda impact and designing mdas towards malaria elimination |
topic | Epidemiology and Global Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7185997/ https://www.ncbi.nlm.nih.gov/pubmed/32293559 http://dx.doi.org/10.7554/eLife.51773 |
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