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Predicting Culex pipiens/restuans Population Dynamics Using a Weather-Driven Dynamic Compartmental Population Model

SIMPLE SUMMARY: In this study, we present a compartmental population model for Cx. pipiens/restuans, incorporating mosquito life cycle parameters, as well as temperature, precipitation, and geographic latitude. The model was validated against mosquito count data from Cook County (IL, USA). The model...

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Autores principales: Bakran-Lebl, Karin, Kjær, Lene Jung, Conrady, Beate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056620/
https://www.ncbi.nlm.nih.gov/pubmed/36975978
http://dx.doi.org/10.3390/insects14030293
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author Bakran-Lebl, Karin
Kjær, Lene Jung
Conrady, Beate
author_facet Bakran-Lebl, Karin
Kjær, Lene Jung
Conrady, Beate
author_sort Bakran-Lebl, Karin
collection PubMed
description SIMPLE SUMMARY: In this study, we present a compartmental population model for Cx. pipiens/restuans, incorporating mosquito life cycle parameters, as well as temperature, precipitation, and geographic latitude. The model was validated against mosquito count data from Cook County (IL, USA). The model fitted the observation data and was able to reproduce between-year differences in the abundance of the Cx. pipiens/restuans mosquitoes, as well as the different seasonal trends. ABSTRACT: Mosquitoes of the genus Culex are important vectors of a variety of arthropod-borne viral infections. In most of the northern parts of the USA, Cx. pipiens/restuans is the predominant representative of this genus. As vectors, they play a key role in the spreading of arboviruses and thus, knowledge of the population dynamic of mosquitoes is important to understand the disease ecology of these viruses. As poikilotherm animals, the vital rates of mosquitoes are highly dependent on ambient temperature, and also on precipitation. We present a compartmental model for the population dynamics of Cx. pipiens/restuans. The model is driven by temperature, precipitation, and daytime length (which can be calculated from the geographic latitude). For model evaluation, we used long-term mosquito capture data, which were averaged from multiple sites in Cook County, Illinois. The model fitted the observation data and was able to reproduce between-year differences in the abundance of the Cx. pipiens/restuans mosquitoes, as well as the different seasonal trends. Using this model, we evaluated the effectiveness of targeting different vital rates for mosquito control strategies. The final model is able to reproduce the weekly mean Cx. pipiens/restuans abundance for Cook County with a high accuracy, and over a long time period of 20 years.
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spelling pubmed-100566202023-03-30 Predicting Culex pipiens/restuans Population Dynamics Using a Weather-Driven Dynamic Compartmental Population Model Bakran-Lebl, Karin Kjær, Lene Jung Conrady, Beate Insects Article SIMPLE SUMMARY: In this study, we present a compartmental population model for Cx. pipiens/restuans, incorporating mosquito life cycle parameters, as well as temperature, precipitation, and geographic latitude. The model was validated against mosquito count data from Cook County (IL, USA). The model fitted the observation data and was able to reproduce between-year differences in the abundance of the Cx. pipiens/restuans mosquitoes, as well as the different seasonal trends. ABSTRACT: Mosquitoes of the genus Culex are important vectors of a variety of arthropod-borne viral infections. In most of the northern parts of the USA, Cx. pipiens/restuans is the predominant representative of this genus. As vectors, they play a key role in the spreading of arboviruses and thus, knowledge of the population dynamic of mosquitoes is important to understand the disease ecology of these viruses. As poikilotherm animals, the vital rates of mosquitoes are highly dependent on ambient temperature, and also on precipitation. We present a compartmental model for the population dynamics of Cx. pipiens/restuans. The model is driven by temperature, precipitation, and daytime length (which can be calculated from the geographic latitude). For model evaluation, we used long-term mosquito capture data, which were averaged from multiple sites in Cook County, Illinois. The model fitted the observation data and was able to reproduce between-year differences in the abundance of the Cx. pipiens/restuans mosquitoes, as well as the different seasonal trends. Using this model, we evaluated the effectiveness of targeting different vital rates for mosquito control strategies. The final model is able to reproduce the weekly mean Cx. pipiens/restuans abundance for Cook County with a high accuracy, and over a long time period of 20 years. MDPI 2023-03-17 /pmc/articles/PMC10056620/ /pubmed/36975978 http://dx.doi.org/10.3390/insects14030293 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bakran-Lebl, Karin
Kjær, Lene Jung
Conrady, Beate
Predicting Culex pipiens/restuans Population Dynamics Using a Weather-Driven Dynamic Compartmental Population Model
title Predicting Culex pipiens/restuans Population Dynamics Using a Weather-Driven Dynamic Compartmental Population Model
title_full Predicting Culex pipiens/restuans Population Dynamics Using a Weather-Driven Dynamic Compartmental Population Model
title_fullStr Predicting Culex pipiens/restuans Population Dynamics Using a Weather-Driven Dynamic Compartmental Population Model
title_full_unstemmed Predicting Culex pipiens/restuans Population Dynamics Using a Weather-Driven Dynamic Compartmental Population Model
title_short Predicting Culex pipiens/restuans Population Dynamics Using a Weather-Driven Dynamic Compartmental Population Model
title_sort predicting culex pipiens/restuans population dynamics using a weather-driven dynamic compartmental population model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10056620/
https://www.ncbi.nlm.nih.gov/pubmed/36975978
http://dx.doi.org/10.3390/insects14030293
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