Mathematical modeling of the effects of atmospheric pressure on mosquito (Díptera: Culicidae) population density in Villa Clara, Cuba

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Auteur principal: Rigoberto Fimia-Duarte
Format: Artículo científico
Langue:en
Publié: Universidad Nacional de Colombia 2020
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author Rigoberto Fimia-Duarte
author_facet Rigoberto Fimia-Duarte
contents Mathematical modeling of the effects of atmospheric pressure on mosquito (Díptera: Culicidae) population density in Villa Clara, Cuba Rigoberto Fimia-Duarte Ricardo Osés-Rodríguez Pedro María Alarcón-Elbal Jaime Wilfrido Aldaz-Cárdenas Bárbara Verónica Roig-Boffill Pedro Yoelvys de la Fé-Rodríguez Medicina Cuba Culicidae Forecasting Disease Vectors (MeSH) Introduction: Mosquitoes (Diptera: Culicidae) are considered one of the most versatile organisms in the world as they can breed in any pool of water, such as puddles or tanks. However, their reproduction is influenced by atmospheric variables that allow predicting their population density.Objective: To assess the impact of atmospheric pressure on mosquito population density in the province of Villa Clara, Cuba, by means of a mathematical model based on a regressive objective regression (ROR) methodology.Materials and methods: The development of the mathematical model to predict breeding sites was based on the number of breeding sites reported in the province of Villa Clara between 2000 and 2017, and the ROR model. Furthermore, a regression analysis was carried out using the IBM SPSS® version 19.0, which allowed obtaining models that explained 100% of the variance, with its corresponding standard error.Results: With respect to the number of breeding sites, an increasing trend was observed in the municipality of Cifuentes, while the trend was downward in Ranchuelo and Caibarién. The municipalities of Santa Clara and Encrucijada had the highest and lowest standard deviation (13.432 vs. 5.968, respectively), which demonstrates great variability among the data of each municipality.Conclusions: There is a close relationship between atmospheric pressure and mosquito population density since both total and specific larval densities increase as atmospheric pressure increases. 2020 artículo científico 2357-3848 https://www.redalyc.org/articulo.oa?id=576366658009 https://www.redalyc.org/journal/5763/576366658009/ https://www.redalyc.org/journal/5763/576366658009/html/ https://www.redalyc.org/journal/5763/576366658009/576366658009.epub https://www.redalyc.org/journal/5763/576366658009/movil 10.15446/revfacmed.v68n4.79516 en http://www.redalyc.org/revista.oa?id=5763 Revista de la Facultad de Medicina application/pdf Universidad Nacional de Colombia Revista de la Facultad de Medicina (Colombia) Num.4 Vol.68
format Artículo científico
id redalyc_576366658009
institution Redalyc
language en
publishDate 2020
publisher Universidad Nacional de Colombia
spellingShingle Mathematical modeling of the effects of atmospheric pressure on mosquito (Díptera: Culicidae) population density in Villa Clara, Cuba
Rigoberto Fimia-Duarte
Medicina
Cuba
Culicidae
Forecasting
Disease Vectors (MeSH)
Mathematical modeling of the effects of atmospheric pressure on mosquito (Díptera: Culicidae) population density in Villa Clara, Cuba Rigoberto Fimia-Duarte Ricardo Osés-Rodríguez Pedro María Alarcón-Elbal Jaime Wilfrido Aldaz-Cárdenas Bárbara Verónica Roig-Boffill Pedro Yoelvys de la Fé-Rodríguez Medicina Cuba Culicidae Forecasting Disease Vectors (MeSH) Introduction: Mosquitoes (Diptera: Culicidae) are considered one of the most versatile organisms in the world as they can breed in any pool of water, such as puddles or tanks. However, their reproduction is influenced by atmospheric variables that allow predicting their population density.Objective: To assess the impact of atmospheric pressure on mosquito population density in the province of Villa Clara, Cuba, by means of a mathematical model based on a regressive objective regression (ROR) methodology.Materials and methods: The development of the mathematical model to predict breeding sites was based on the number of breeding sites reported in the province of Villa Clara between 2000 and 2017, and the ROR model. Furthermore, a regression analysis was carried out using the IBM SPSS® version 19.0, which allowed obtaining models that explained 100% of the variance, with its corresponding standard error.Results: With respect to the number of breeding sites, an increasing trend was observed in the municipality of Cifuentes, while the trend was downward in Ranchuelo and Caibarién. The municipalities of Santa Clara and Encrucijada had the highest and lowest standard deviation (13.432 vs. 5.968, respectively), which demonstrates great variability among the data of each municipality.Conclusions: There is a close relationship between atmospheric pressure and mosquito population density since both total and specific larval densities increase as atmospheric pressure increases. 2020 artículo científico 2357-3848 https://www.redalyc.org/articulo.oa?id=576366658009 https://www.redalyc.org/journal/5763/576366658009/ https://www.redalyc.org/journal/5763/576366658009/html/ https://www.redalyc.org/journal/5763/576366658009/576366658009.epub https://www.redalyc.org/journal/5763/576366658009/movil 10.15446/revfacmed.v68n4.79516 en http://www.redalyc.org/revista.oa?id=5763 Revista de la Facultad de Medicina application/pdf Universidad Nacional de Colombia Revista de la Facultad de Medicina (Colombia) Num.4 Vol.68
title Mathematical modeling of the effects of atmospheric pressure on mosquito (Díptera: Culicidae) population density in Villa Clara, Cuba
topic Medicina
Cuba
Culicidae
Forecasting
Disease Vectors (MeSH)
url https://www.redalyc.org/articulo.oa?id=576366658009
https://www.redalyc.org/journal/5763/576366658009/
https://www.redalyc.org/journal/5763/576366658009/html/
https://www.redalyc.org/journal/5763/576366658009/576366658009.epub
https://www.redalyc.org/journal/5763/576366658009/movil