Literature DB >> 15522350

Seasonal population dynamics of ticks, and its influence on infection transmission: a semi-discrete approach.

Mini Ghosh1, Andrea Pugliese.   

Abstract

In this paper, a simple semi-discrete (ticks' feeding is assumed to occur only during the summers of each year) model for tick population dynamics is presented. Conditions for existence, uniqueness, and stability of a positive equilibrium are found; the system is then studied numerically using parameter estimates calibrated for the tick Ixodes ricinus in Trentino, Italy, and the sensitivity to parameters is examined. Then, this model is extended to consider a tick-transmitted infection of one species of hosts, while other hosts are incompetent to the infection. Assuming, for simplicity, that the infection is not affecting the total number either of hosts or ticks, a threshold condition for infection persistence is obtained. The dependence of the equilibrium infection prevalence on parameters is studied numerically; in particular, we considered how infection prevalence depends on host densities. This analysis reveals that a 'dilution effect' occurs both for competent and for incompetent hosts; this means that, besides a lower threshold for host densities for infection to persist, there exists also an upper threshold: if host densities were higher than the upper threshold, the infection would go to extinction. Numerically, it is found that, for realistic parameter values, the upper threshold is not much higher than observed densities.

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Year:  2004        PMID: 15522350     DOI: 10.1016/j.bulm.2004.03.007

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  4 in total

1.  Delay differential systems for tick population dynamics.

Authors:  Guihong Fan; Horst R Thieme; Huaiping Zhu
Journal:  J Math Biol       Date:  2014-10-28       Impact factor: 2.259

2.  Impact of biodiversity and seasonality on Lyme-pathogen transmission.

Authors:  Yijun Lou; Jianhong Wu; Xiaotian Wu
Journal:  Theor Biol Med Model       Date:  2014-11-28       Impact factor: 2.432

Review 3.  Modeling Lyme disease transmission.

Authors:  Yijun Lou; Jianhong Wu
Journal:  Infect Dis Model       Date:  2017-05-19

4.  Assessing systemic and non-systemic transmission risk of tick-borne encephalitis virus in Hungary.

Authors:  Kyeongah Nah; Felicia Maria G Magpantay; Ákos Bede-Fazekas; Gergely Röst; Attila János Trájer; Xiaotian Wu; Xue Zhang; Jianhong Wu
Journal:  PLoS One       Date:  2019-06-04       Impact factor: 3.240

  4 in total

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