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Modeling Lyme disease transmission
Lyme disease, a typical tick-borne disease, imposes increasing global public health challenges. A growing body of theoretical models have been proposed to better understand various factors determining the disease risk, which not only enrich our understanding on the ecological cycle of disease transm...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001969/ https://www.ncbi.nlm.nih.gov/pubmed/29928739 http://dx.doi.org/10.1016/j.idm.2017.05.002 |
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author | Lou, Yijun Wu, Jianhong |
author_facet | Lou, Yijun Wu, Jianhong |
author_sort | Lou, Yijun |
collection | PubMed |
description | Lyme disease, a typical tick-borne disease, imposes increasing global public health challenges. A growing body of theoretical models have been proposed to better understand various factors determining the disease risk, which not only enrich our understanding on the ecological cycle of disease transmission but also promote new theoretical developments on model formulation, analysis and simulation. In this paper, we provide a review about the models and results we have obtained recently on modeling and analyzing Lyme disease transmission, with the purpose to highlight various aspects in the ecological cycle of disease transmission to be incorporated, including the growth of ticks with different stages in the life cycle, the seasonality, host diversity, spatial disease pattern due to host short distance movement and bird migration, co-infection with other tick-borne pathogens, and climate change impact. |
format | Online Article Text |
id | pubmed-6001969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-60019692018-06-20 Modeling Lyme disease transmission Lou, Yijun Wu, Jianhong Infect Dis Model Article Lyme disease, a typical tick-borne disease, imposes increasing global public health challenges. A growing body of theoretical models have been proposed to better understand various factors determining the disease risk, which not only enrich our understanding on the ecological cycle of disease transmission but also promote new theoretical developments on model formulation, analysis and simulation. In this paper, we provide a review about the models and results we have obtained recently on modeling and analyzing Lyme disease transmission, with the purpose to highlight various aspects in the ecological cycle of disease transmission to be incorporated, including the growth of ticks with different stages in the life cycle, the seasonality, host diversity, spatial disease pattern due to host short distance movement and bird migration, co-infection with other tick-borne pathogens, and climate change impact. KeAi Publishing 2017-05-19 /pmc/articles/PMC6001969/ /pubmed/29928739 http://dx.doi.org/10.1016/j.idm.2017.05.002 Text en © 2017 KeAi Communications Co., Ltd. Production and hosting by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Lou, Yijun Wu, Jianhong Modeling Lyme disease transmission |
title | Modeling Lyme disease transmission |
title_full | Modeling Lyme disease transmission |
title_fullStr | Modeling Lyme disease transmission |
title_full_unstemmed | Modeling Lyme disease transmission |
title_short | Modeling Lyme disease transmission |
title_sort | modeling lyme disease transmission |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6001969/ https://www.ncbi.nlm.nih.gov/pubmed/29928739 http://dx.doi.org/10.1016/j.idm.2017.05.002 |
work_keys_str_mv | AT louyijun modelinglymediseasetransmission AT wujianhong modelinglymediseasetransmission |