Literature DB >> 18442427

Effect of host populations on the intensity of ticks and the prevalence of tick-borne pathogens: how to interpret the results of deer exclosure experiments.

A Pugliese1, R Rosà.   

Abstract

Deer are important blood hosts for feeding Ixodes ricinus ticks but they do not support transmission of many tick-borne pathogens, so acting as dead-end transmission hosts. Mathematical models show their role as tick amplifiers, but also suggest that they dilute pathogen transmission, thus reducing infection prevalence. Empirical evidence for this is conflicting: experimental plots with deer removal (i.e. deer exclosures) show that the effect depends on the size of the exclosure. Here we present simulations of dynamic models that take into account different tick stages, and several host species (e.g. rodents) that may move to and from deer exclosures; models were calibrated with respect to Ixodes ricinus ticks and tick-borne encephalitis (TBE) in Trentino (northern Italy). Results show that in small exclosures, the density of rodent-feeding ticks may be higher inside than outside, whereas in large exclosures, a reduction of such tick density may be reached. Similarly, TBE prevalence in rodents decreases in large exclosures and may be slightly higher in small exclosures than outside them. The density of infected questing nymphs inside small exclosures can be much higher, in our numerical example almost twice as large as that outside, leading to potential TBE infection risk hotspots.

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Year:  2008        PMID: 18442427     DOI: 10.1017/S003118200800036X

Source DB:  PubMed          Journal:  Parasitology        ISSN: 0031-1820            Impact factor:   3.234


  16 in total

1.  Trends in tick population dynamics and pathogen transmission in emerging tick-borne pathogens in Europe: an introduction.

Authors:  Nienke Hartemink; Willem Takken
Journal:  Exp Appl Acarol       Date:  2016-01-18       Impact factor: 2.132

2.  The role of game (wild boar and roe deer) in the spread of tick-borne encephalitis in the Czech Republic.

Authors:  Bohumir Kriz; Milan Daniel; Cestmir Benes; Marek Maly
Journal:  Vector Borne Zoonotic Dis       Date:  2014-11       Impact factor: 2.133

3.  Study scale determines whether wildlife loss protects against or promotes tick-borne disease.

Authors:  J C Buck; S E Perkins
Journal:  Proc Biol Sci       Date:  2018-05-16       Impact factor: 5.349

4.  Comment on Titcomb et al.'s 'Interacting effects of wildlife loss and climate on ticks and tick-borne disease'.

Authors:  H J Esser; N A Hartemink; W F de Boer
Journal:  Proc Biol Sci       Date:  2018-05-16       Impact factor: 5.349

5.  What explains tick proliferation following large-herbivore exclusion?

Authors:  Georgia Titcomb; Robert M Pringle; Todd M Palmer; Hillary S Young
Journal:  Proc Biol Sci       Date:  2018-05-16       Impact factor: 5.349

6.  Influence of the spatial heterogeneity in tick abundance in the modeling of the seasonal activity of Ixodes ricinus nymphs in Western Europe.

Authors:  Julie Cat; Frédéric Beugnet; Thierry Hoch; Frans Jongejan; Aurélie Prangé; Karine Chalvet-Monfray
Journal:  Exp Appl Acarol       Date:  2017-01-26       Impact factor: 2.132

7.  Co-infection and genetic diversity of tick-borne pathogens in roe deer from Poland.

Authors:  Renata Welc-Falęciak; Joanna Werszko; Krystian Cydzik; Anna Bajer; Jerzy Michalik; Jerzy M Behnke
Journal:  Vector Borne Zoonotic Dis       Date:  2013-03-08       Impact factor: 2.133

8.  Tick burden on European roe deer (Capreolus capreolus).

Authors:  Torsten Vor; Christian Kiffner; Peter Hagedorn; Matthias Niedrig; Ferdinand Rühe
Journal:  Exp Appl Acarol       Date:  2010-01-23       Impact factor: 2.132

9.  Correlation of TBE incidence with red deer and roe deer abundance in Slovenia.

Authors:  Nataša Knap; Tatjana Avšič-Županc
Journal:  PLoS One       Date:  2013-06-11       Impact factor: 3.240

10.  Forest structure and roe deer abundance predict tick-borne encephalitis risk in Italy.

Authors:  Annapaola Rizzoli; Heidi C Hauffe; Valentina Tagliapietra; Markus Neteler; Roberto Rosà
Journal:  PLoS One       Date:  2009-02-02       Impact factor: 3.240

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