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...
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KeAi Communications Co., Ltd.
2017-05-01
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Series: | Infectious Disease Modelling |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2468042717300076 |
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doaj-b752dc44b9934e3084c0c0282e9dd9482021-02-02T06:38:06ZengKeAi Communications Co., Ltd.Infectious Disease Modelling2468-04272017-05-0122229243Modeling Lyme disease transmissionYijun Lou0Jianhong Wu1Department of Applied Mathematics, The Hong Kong Polytechnic University, Kowloon, Hong Kong; Corresponding author.Department of Mathematics and Statistics, York University, Toronto, Ontario, M3J 1P3, CanadaLyme 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. Keywords: Mathematical model, Lyme disease, Tick-borne disease, Basic reproduction number, Seasonality, Spatial model, Biodiversity, Co-infection, Bird migrationhttp://www.sciencedirect.com/science/article/pii/S2468042717300076 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yijun Lou Jianhong Wu |
spellingShingle |
Yijun Lou Jianhong Wu Modeling Lyme disease transmission Infectious Disease Modelling |
author_facet |
Yijun Lou Jianhong Wu |
author_sort |
Yijun Lou |
title |
Modeling Lyme disease transmission |
title_short |
Modeling Lyme disease transmission |
title_full |
Modeling Lyme disease transmission |
title_fullStr |
Modeling Lyme disease transmission |
title_full_unstemmed |
Modeling Lyme disease transmission |
title_sort |
modeling lyme disease transmission |
publisher |
KeAi Communications Co., Ltd. |
series |
Infectious Disease Modelling |
issn |
2468-0427 |
publishDate |
2017-05-01 |
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. Keywords: Mathematical model, Lyme disease, Tick-borne disease, Basic reproduction number, Seasonality, Spatial model, Biodiversity, Co-infection, Bird migration |
url |
http://www.sciencedirect.com/science/article/pii/S2468042717300076 |
work_keys_str_mv |
AT yijunlou modelinglymediseasetransmission AT jianhongwu modelinglymediseasetransmission |
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1724301010485116928 |