Literature DB >> 25348048

Delay differential systems for tick population dynamics.

Guihong Fan1, Horst R Thieme2, Huaiping Zhu3.   

Abstract

Ticks play a critical role as vectors in the transmission and spread of Lyme disease, an emerging infectious disease which can cause severe illness in humans or animals. To understand the transmission dynamics of Lyme disease and other tick-borne diseases, it is necessary to investigate the population dynamics of ticks. Here, we formulate a system of delay differential equations which models the stage structure of the tick population. Temperature can alter the length of time delays in each developmental stage, and so the time delays can vary geographically (and seasonally which we do not consider). We define the basic reproduction number [Formula: see text] of stage structured tick populations. The tick population is uniformly persistent if [Formula: see text] and dies out if [Formula: see text]. We present sufficient conditions under which the unique positive equilibrium point is globally asymptotically stable. In general, the positive equilibrium can be unstable and the system show oscillatory behavior. These oscillations are primarily due to negative feedback within the tick system, but can be enhanced by the time delays of the different developmental stages.

Entities:  

Keywords:  Basic reproduction number; Delay differential systems; Global stability; Integral equations; Local stability; Persistence; Stage structure; Tick populations

Mesh:

Year:  2014        PMID: 25348048     DOI: 10.1007/s00285-014-0845-0

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  13 in total

1.  Persistence of tick-borne virus in the presence of multiple host species: tick reservoirs and parasite mediated competition.

Authors:  R Norman; R G Bowers; M Begon; P J Hudson
Journal:  J Theor Biol       Date:  1999-09-07       Impact factor: 2.691

2.  Ticks and tick-borne diseases: a vector-host interaction model for the brown ear tick (Rhipicephalus appendiculatus).

Authors:  H G Mwambi; J Baumgärtner; K P Hadeler
Journal:  Stat Methods Med Res       Date:  2000-06       Impact factor: 3.021

3.  The role of seasonality in the dynamics of deer tick populations.

Authors:  T Awerbuch-Friedlander; R Levins; M Predescu
Journal:  Bull Math Biol       Date:  2005-05       Impact factor: 1.758

4.  Effects of tick population dynamics and host densities on the persistence of tick-borne infections.

Authors:  Roberto Rosà; Andrea Pugliese
Journal:  Math Biosci       Date:  2006-10-19       Impact factor: 2.144

5.  Stability and persistence in ODE models for populations with many stages.

Authors:  Guihong Fan; Yijun Lou; Horst R Thieme; Jianhong Wu
Journal:  Math Biosci Eng       Date:  2015-08       Impact factor: 2.080

6.  A dynamic population model to investigate effects of climate on geographic range and seasonality of the tick Ixodes scapularis.

Authors:  N H Ogden; M Bigras-Poulin; C J O'Callaghan; I K Barker; L R Lindsay; A Maarouf; K E Smoyer-Tomic; D Waltner-Toews; D Charron
Journal:  Int J Parasitol       Date:  2005-04-01       Impact factor: 3.981

7.  The effect of integral conditions in certain equations modelling epidemics and population growth.

Authors:  S Busenberg; K L Cooke
Journal:  J Math Biol       Date:  1980-08       Impact factor: 2.259

8.  Developing a temperature-driven map of the basic reproductive number of the emerging tick vector of Lyme disease Ixodes scapularis in Canada.

Authors:  Xiaotian Wu; Venkata R Duvvuri; Yijun Lou; Nicholas H Ogden; Yann Pelcat; Jianhong Wu
Journal:  J Theor Biol       Date:  2012-12-01       Impact factor: 2.691

9.  Stage-structured infection transmission and a spatial epidemic: a model for Lyme disease.

Authors:  Thomas Caraco; Stephan Glavanakov; Gang Chen; Joseph E Flaherty; Toshiro K Ohsumi; Boleslaw K Szymanski
Journal:  Am Nat       Date:  2002-09       Impact factor: 3.926

10.  The basic reproduction number for complex disease systems: defining R(0) for tick-borne infections.

Authors:  N A Hartemink; S E Randolph; S A Davis; J A P Heesterbeek
Journal:  Am Nat       Date:  2008-06       Impact factor: 3.926

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  3 in total

1.  How ticks keep ticking in the adversity of host immune reactions.

Authors:  Rachel Jennings; Yang Kuang; Horst R Thieme; Jianhong Wu; Xiaotian Wu
Journal:  J Math Biol       Date:  2018-11-26       Impact factor: 2.259

Review 2.  Modeling Lyme disease transmission.

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

3.  Prolongation of Tick-Borne Encephalitis Cycles in Warmer Climatic Conditions.

Authors:  Petr Zeman
Journal:  Int J Environ Res Public Health       Date:  2019-11-15       Impact factor: 3.390

  3 in total

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