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Title: | Modeling co-infection of Ixodes tick-borne pathogens | Authors: | Lou, YJ Liu, L Gao, DZ |
Issue Date: | Oct-2017 | Source: | Mathematical biosciences and engineering, Oct. & Dec. 2017, v. 14, no. 5-6, p. 1301-1316 | Abstract: | Ticks, including the Ixodes ricinus and Ixodes scapularis hard tick species, are regarded as the most common arthropod vectors of both human and animal diseases in Europe and the United States capable of transmitting a large number of bacteria, viruses and parasites. Since ticks in larval and nymphal stages share the same host community which can harbor multiple pathogens, they may be co-infected with two or more pathogens, with a sub-sequent high likelihood of co-transmission to humans or animals. This paper is devoted to the modeling of co-infection of tick-borne pathogens, with special focus on the co-infection of Borrelia burgdorferi (agent of Lyme disease) and Babe siamicroti (agent of human babesiosis). Considering the effect of co-infection, we illustrate that co-infection with B.burgdorferi increases the likelihood of B. microti transmission, by increasing the basic reproduction number of B. microti below the threshold smaller than one to be possibly above the threshold for persistence. The study con firms a mechanism of the ecological fitness paradox, the establishment of B. microti which has weak fitness (basic reproduction number less than one). Furthermore, co-infection could facilitate range expansion of both pathogens. | Keywords: | Co-infection Tick-borne pathogens Mathematical model |
Publisher: | American Institute of Mathematical Sciences | Journal: | Mathematical biosciences and engineering | ISSN: | 1547-1063 | EISSN: | 1551-0018 | DOI: | 10.3934/mbe.2017067 | Rights: | © 2017 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0) The following publication Yijun Lou, Li Liu, Daozhou Gao. Modeling co-infection of Ixodes tick-borne pathogens. Mathematical Biosciences & Engineering, 2017, 14 (5&6) : 1301-1316 is available at http://www.aimspress.com/article/doi/10.3934/mbe.2017067 |
Appears in Collections: | Journal/Magazine Article |
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