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 subsequent 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 Babesia microti (agent of human babesiosis). Considering the effect of coinfection, 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 confirms 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.
Original language | English |
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Pages (from-to) | 1301-1316 |
Number of pages | 16 |
Journal | Mathematical Biosciences and Engineering |
Volume | 14 |
Issue number | 5-6 |
DOIs | |
Publication status | Published - 1 Oct 2017 |
Keywords
- Co-infection
- Mathematical model
- Tick-borne pathogens
ASJC Scopus subject areas
- Modelling and Simulation
- General Agricultural and Biological Sciences
- Computational Mathematics
- Applied Mathematics