Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/72152
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Title: Modeling Lyme disease transmission
Authors: Lou, Y 
Wu, J
Issue Date: May-2017
Source: Infectious disease modelling, May 2017, v. 2, no. 2, p. 229-243
Abstract: 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
Publisher: Elsevier
Journal: Infectious disease modelling 
ISSN: 2468-0427
DOI: 10.1016/j.idm.2017.05.002
Rights: © 2017 KeAi Communications Co., Ltd. Production and hosting by Elsevier B.V.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
The following publication Lou, Y., & Wu, J. (2017). Modeling Lyme disease transmission. Infectious Disease Modelling, 2(2), 229-243 is available at https://doi.org/10.1016/j.idm.2017.05.002
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