Effect of rodent density on tick and tick-borne pathogen populations: consequences for infectious disease risk

Aleksandra I Krawczyk1,2, Gilian L A van Duijvendijk3, Arno Swart4

  • 1Laboratory of Entomology, Wageningen University and Research Centre, Wageningen, The Netherlands. aleksandra.i.krawczyk@gmail.com.

Parasites & Vectors
|January 22, 2020
PubMed
Abstract

Insights

Rodent density significantly impacts tick-borne disease risk. Higher rodent numbers increase infected nymphs for some pathogens, while others show varied responses, highlighting the importance of pathogen biology in disease transmission.

Area of Science:

  • Ecology
  • Epidemiology
  • Vector-borne diseases

Background:

  • Rodents are key hosts for Ixodes ricinus ticks and amplify tick-borne pathogens.
  • Understanding rodent density's role is crucial for managing disease risk.

Purpose of the Study:

  • To determine how rodent density affects tick-borne disease risk.
  • To identify pathogens for which rodents synergistically increase the density of infected nymphs (DIN).

Main Methods:

  • Manipulated rodent densities in woodland plots via food supplementation or removal.
  • Collected and tested nymphs and rodent ear biopsies for seven tick-borne microorganisms.
  • Utilized linear models to analyze associations between rodent density, nymphal density, and pathogen prevalence.

Main Results:

  • Rodent density positively correlated with nymphal density and the density of infected nymphs (DIN) for Borrelia afzelii and Neoehrlichia mikurensis.
  • Nymphal infection prevalence (NIP) of Borrelia garinii decreased with rodent density.
  • DINs for Borrelia miyamotoi and Rickettsia helvetica increased moderately with rodent density.

Conclusions:

  • Rodent density influences tick-borne pathogen dynamics, with varied effects on DINs based on pathogen biology.
  • Pathogen transmission mode is critical for understanding disease risk and developing control strategies.
  • Rodent-associated pathogens relying on horizontal transmission showed the strongest density dependence.

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