Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75851
PIRA download icon_1.1View/Download Full Text
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

Files in This Item:
File Description SizeFormat 
2066_10.3934_mbe.2017067.pdf1.17 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

131
Last Week
0
Last month
Citations as of Apr 14, 2024

Downloads

30
Citations as of Apr 14, 2024

SCOPUSTM   
Citations

12
Last Week
0
Last month
Citations as of Apr 19, 2024

WEB OF SCIENCETM
Citations

12
Last Week
0
Last month
Citations as of Apr 18, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.