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Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping

BACKGROUND: Africans pour dirty water around their houses which constitutes aquatic habitats (AH). These AH are sought by mosquitoes for larval development. Recent studies have shown the effectiveness of destroying AH around houses in reducing malaria incidence. An agent-based model is proposed for...

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Autores principales: Layie, Paul, Kamla, Vivient Corneille, Kamgang, Jean Claude, Wono, Yves Emvudu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953772/
https://www.ncbi.nlm.nih.gov/pubmed/33706731
http://dx.doi.org/10.1186/s12889-020-10150-4
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author Layie, Paul
Kamla, Vivient Corneille
Kamgang, Jean Claude
Wono, Yves Emvudu
author_facet Layie, Paul
Kamla, Vivient Corneille
Kamgang, Jean Claude
Wono, Yves Emvudu
author_sort Layie, Paul
collection PubMed
description BACKGROUND: Africans pour dirty water around their houses which constitutes aquatic habitats (AH). These AH are sought by mosquitoes for larval development. Recent studies have shown the effectiveness of destroying AH around houses in reducing malaria incidence. An agent-based model is proposed for controlling malaria’s incidence through population sensitizing campaigns on the harmful effects of AH around houses. METHODS: The environment is constituted of houses, AH, mosquitoes, humans, and hospital. Malaria’s spread dynamic is linked to the dynamics of humans and mosquitoes. The mosquito’s dynamic is represented by egg-laying and seeking blood. The human’s dynamic is animated by hitting mosquitoes. AH are destroyed each time by 10% of their starting number. The number of infected humans varied from 0-90 which led to a total of 1001 simulations. RESULTS: When the number of houses and AH is equal, the results are approximate as the field data. At each reduction of AH, the incidence and prevalence tend more and more towards 0. When there is no AH and infected humans, the prevalence and incidence are at 0. CONCLUSIONS: When there is no AH site, the disease disappears completely. Global destruction of AH in an environment and using many parameters in the same model are recommended.
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spelling pubmed-79537722021-03-15 Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping Layie, Paul Kamla, Vivient Corneille Kamgang, Jean Claude Wono, Yves Emvudu BMC Public Health Research Article BACKGROUND: Africans pour dirty water around their houses which constitutes aquatic habitats (AH). These AH are sought by mosquitoes for larval development. Recent studies have shown the effectiveness of destroying AH around houses in reducing malaria incidence. An agent-based model is proposed for controlling malaria’s incidence through population sensitizing campaigns on the harmful effects of AH around houses. METHODS: The environment is constituted of houses, AH, mosquitoes, humans, and hospital. Malaria’s spread dynamic is linked to the dynamics of humans and mosquitoes. The mosquito’s dynamic is represented by egg-laying and seeking blood. The human’s dynamic is animated by hitting mosquitoes. AH are destroyed each time by 10% of their starting number. The number of infected humans varied from 0-90 which led to a total of 1001 simulations. RESULTS: When the number of houses and AH is equal, the results are approximate as the field data. At each reduction of AH, the incidence and prevalence tend more and more towards 0. When there is no AH and infected humans, the prevalence and incidence are at 0. CONCLUSIONS: When there is no AH site, the disease disappears completely. Global destruction of AH in an environment and using many parameters in the same model are recommended. BioMed Central 2021-03-11 /pmc/articles/PMC7953772/ /pubmed/33706731 http://dx.doi.org/10.1186/s12889-020-10150-4 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Layie, Paul
Kamla, Vivient Corneille
Kamgang, Jean Claude
Wono, Yves Emvudu
Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping
title Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping
title_full Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping
title_fullStr Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping
title_full_unstemmed Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping
title_short Agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-Sahara grouping
title_sort agent-based modeling of malaria control through mosquito aquatic habitats management in a traditional sub-sahara grouping
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7953772/
https://www.ncbi.nlm.nih.gov/pubmed/33706731
http://dx.doi.org/10.1186/s12889-020-10150-4
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