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Impact of biodiversity and seasonality on Lyme-pathogen transmission

Lyme disease imposes increasing global public health challenges. To better understand the joint effects of seasonal temperature variation and host community composition on the pathogen transmission, a stage-structured periodic model is proposed by integrating seasonal tick development and activity,...

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Detalles Bibliográficos
Autores principales: Lou, Yijun, Wu, Jianhong, Wu, Xiaotian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4396072/
https://www.ncbi.nlm.nih.gov/pubmed/25432469
http://dx.doi.org/10.1186/1742-4682-11-50
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author Lou, Yijun
Wu, Jianhong
Wu, Xiaotian
author_facet Lou, Yijun
Wu, Jianhong
Wu, Xiaotian
author_sort Lou, Yijun
collection PubMed
description Lyme disease imposes increasing global public health challenges. To better understand the joint effects of seasonal temperature variation and host community composition on the pathogen transmission, a stage-structured periodic model is proposed by integrating seasonal tick development and activity, multiple host species and complex pathogen transmission routes between ticks and reservoirs. Two thresholds, one for tick population dynamics and the other for Lyme-pathogen transmission dynamics, are identified and shown to fully classify the long-term outcomes of the tick invasion and disease persistence. Seeding with the realistic parameters, the tick reproduction threshold and Lyme disease spread threshold are estimated to illustrate the joint effects of the climate change and host community diversity on the pattern of Lyme disease risk. It is shown that climate warming can amplify the disease risk and slightly change the seasonality of disease risk. Both the “dilution effect” and “amplification effect” are observed by feeding the model with different possible alternative hosts. Therefore, the relationship between the host community biodiversity and disease risk varies, calling for more accurate measurements on the local environment, both biotic and abiotic such as the temperature and the host community composition.
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spelling pubmed-43960722015-04-14 Impact of biodiversity and seasonality on Lyme-pathogen transmission Lou, Yijun Wu, Jianhong Wu, Xiaotian Theor Biol Med Model Research Lyme disease imposes increasing global public health challenges. To better understand the joint effects of seasonal temperature variation and host community composition on the pathogen transmission, a stage-structured periodic model is proposed by integrating seasonal tick development and activity, multiple host species and complex pathogen transmission routes between ticks and reservoirs. Two thresholds, one for tick population dynamics and the other for Lyme-pathogen transmission dynamics, are identified and shown to fully classify the long-term outcomes of the tick invasion and disease persistence. Seeding with the realistic parameters, the tick reproduction threshold and Lyme disease spread threshold are estimated to illustrate the joint effects of the climate change and host community diversity on the pattern of Lyme disease risk. It is shown that climate warming can amplify the disease risk and slightly change the seasonality of disease risk. Both the “dilution effect” and “amplification effect” are observed by feeding the model with different possible alternative hosts. Therefore, the relationship between the host community biodiversity and disease risk varies, calling for more accurate measurements on the local environment, both biotic and abiotic such as the temperature and the host community composition. BioMed Central 2014-11-28 /pmc/articles/PMC4396072/ /pubmed/25432469 http://dx.doi.org/10.1186/1742-4682-11-50 Text en © Lou et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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.
spellingShingle Research
Lou, Yijun
Wu, Jianhong
Wu, Xiaotian
Impact of biodiversity and seasonality on Lyme-pathogen transmission
title Impact of biodiversity and seasonality on Lyme-pathogen transmission
title_full Impact of biodiversity and seasonality on Lyme-pathogen transmission
title_fullStr Impact of biodiversity and seasonality on Lyme-pathogen transmission
title_full_unstemmed Impact of biodiversity and seasonality on Lyme-pathogen transmission
title_short Impact of biodiversity and seasonality on Lyme-pathogen transmission
title_sort impact of biodiversity and seasonality on lyme-pathogen transmission
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4396072/
https://www.ncbi.nlm.nih.gov/pubmed/25432469
http://dx.doi.org/10.1186/1742-4682-11-50
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