ANOSPEX: a stochastic, spatially explicit model for studying Anopheles metapopulation dynamics.

Anopheles mosquitoes transmit malaria, a major public health problem among many African countries. One of the most effective methods to control malaria is by controlling the Anopheles mosquito vectors that transmit the parasites. Mathematical models have both predictive and explorative utility to in...

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Autores principales:	Olugbenga O Oluwagbemi, Christen M Fornadel, Ezekiel F Adebiyi, Douglas E Norris, Jason L Rasgon
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5ab6c551a0f94235a70a5858b9263ef8
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spelling	oai:doaj.org-article:5ab6c551a0f94235a70a5858b9263ef82021-11-18T07:38:19ZANOSPEX: a stochastic, spatially explicit model for studying Anopheles metapopulation dynamics.1932-620310.1371/journal.pone.0068040https://doaj.org/article/5ab6c551a0f94235a70a5858b9263ef82013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23861847/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Anopheles mosquitoes transmit malaria, a major public health problem among many African countries. One of the most effective methods to control malaria is by controlling the Anopheles mosquito vectors that transmit the parasites. Mathematical models have both predictive and explorative utility to investigate the pros and cons of different malaria control strategies. We have developed a C++ based, stochastic spatially explicit model (ANOSPEX; Ano pheles Spatially-Explicit) to simulate Anopheles metapopulation dynamics. The model is biologically rich, parameterized by field data, and driven by field-collected weather data from Macha, Zambia. To preliminarily validate ANOSPEX, simulation results were compared to field mosquito collection data from Macha; simulated and observed dynamics were similar. The ANOSPEX model will be useful in a predictive and exploratory manner to develop, evaluate and implement traditional and novel strategies to control malaria, and for understanding the environmental forces driving Anopheles population dynamics.Olugbenga O OluwagbemiChristen M FornadelEzekiel F AdebiyiDouglas E NorrisJason L RasgonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 7, p e68040 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Olugbenga O Oluwagbemi Christen M Fornadel Ezekiel F Adebiyi Douglas E Norris Jason L Rasgon ANOSPEX: a stochastic, spatially explicit model for studying Anopheles metapopulation dynamics.
description	Anopheles mosquitoes transmit malaria, a major public health problem among many African countries. One of the most effective methods to control malaria is by controlling the Anopheles mosquito vectors that transmit the parasites. Mathematical models have both predictive and explorative utility to investigate the pros and cons of different malaria control strategies. We have developed a C++ based, stochastic spatially explicit model (ANOSPEX; Ano pheles Spatially-Explicit) to simulate Anopheles metapopulation dynamics. The model is biologically rich, parameterized by field data, and driven by field-collected weather data from Macha, Zambia. To preliminarily validate ANOSPEX, simulation results were compared to field mosquito collection data from Macha; simulated and observed dynamics were similar. The ANOSPEX model will be useful in a predictive and exploratory manner to develop, evaluate and implement traditional and novel strategies to control malaria, and for understanding the environmental forces driving Anopheles population dynamics.
format	article
author	Olugbenga O Oluwagbemi Christen M Fornadel Ezekiel F Adebiyi Douglas E Norris Jason L Rasgon
author_facet	Olugbenga O Oluwagbemi Christen M Fornadel Ezekiel F Adebiyi Douglas E Norris Jason L Rasgon
author_sort	Olugbenga O Oluwagbemi
title	ANOSPEX: a stochastic, spatially explicit model for studying Anopheles metapopulation dynamics.
title_short	ANOSPEX: a stochastic, spatially explicit model for studying Anopheles metapopulation dynamics.
title_full	ANOSPEX: a stochastic, spatially explicit model for studying Anopheles metapopulation dynamics.
title_fullStr	ANOSPEX: a stochastic, spatially explicit model for studying Anopheles metapopulation dynamics.
title_full_unstemmed	ANOSPEX: a stochastic, spatially explicit model for studying Anopheles metapopulation dynamics.
title_sort	anospex: a stochastic, spatially explicit model for studying anopheles metapopulation dynamics.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/5ab6c551a0f94235a70a5858b9263ef8
work_keys_str_mv	AT olugbengaooluwagbemi anospexastochasticspatiallyexplicitmodelforstudyinganophelesmetapopulationdynamics AT christenmfornadel anospexastochasticspatiallyexplicitmodelforstudyinganophelesmetapopulationdynamics AT ezekielfadebiyi anospexastochasticspatiallyexplicitmodelforstudyinganophelesmetapopulationdynamics AT douglasenorris anospexastochasticspatiallyexplicitmodelforstudyinganophelesmetapopulationdynamics AT jasonlrasgon anospexastochasticspatiallyexplicitmodelforstudyinganophelesmetapopulationdynamics
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ANOSPEX: a stochastic, spatially explicit model for studying Anopheles metapopulation dynamics.

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