4.2 Article

Using Stochastic Modeling to Predict the Effect of Culling and Colony Dispersal of Bats on Zoonotic Viral Epidemics

Journal

VECTOR-BORNE AND ZOONOTIC DISEASES
Volume 21, Issue 5, Pages 369-377

Publisher

MARY ANN LIEBERT, INC
DOI: 10.1089/vbz.2020.2700

Keywords

culling; colony dispersal; flying fox; Hendra virus; metapopulation; stochastic simulation

Funding

  1. Commonwealth of Australia
  2. state of New South Wales under the National Hendra Virus Research Program through the Rural Industries Research and Development Corporation (RIRDC)
  3. state of Queensland under the National Hendra Virus Research Program through the Rural Industries Research and Development Corporation (RIRDC)
  4. Griffith University Postgraduate Research Scholarship
  5. Griffith University International Postgraduate Research Scholarship
  6. Ocean Frontier Institute
  7. DARPA [BAAHR001118S0017 D18AC00031]
  8. National Science Foundation [DEB-1716698]

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The frequent outbreaks of emerging infectious diseases from wild animals have emphasized the importance of managing wildlife populations to prevent zoonotic spillover. In east Australia, outbreaks of Hendra virus (HeV) infection in horses and humans have led to proposed management strategies such as bat culling and colony dispersal. However, modeling results suggest that these strategies may not be effective in controlling HeV epidemics in flying foxes, as reducing colony numbers could actually increase the probability of epidemic occurrence within the bat population.
Frequent outbreaks of emerging infectious diseases originating from wild animals have highlighted the necessity of managing wildlife populations to prevent zoonotic spillover, and the appropriate development of management protocols required attention on gaining a better understanding of viral dynamics in wild animal populations. In east Australia, there have been outbreaks of Hendra virus (HeV) infection in horses and humans following spillover from the virus's reservoir hosts, flying foxes (family Pteropodidae), and bat culling and colony dispersal have been proposed as appropriate management strategies. A key factor relating to flying fox population structure that influences HeV dynamics is that these bats form metapopulations, and consequently, to assess this factor, we designed an epidemic dynamics model of HeV transmission, focusing on bat metapopulation dynamics. Specifically, using flying fox movement data, we stochastically simulated models for a hypothetical metapopulation of flying foxes to examine the impact of metapopulation-related parameters, and subsequently simulated probable scenarios of culling and colony dispersal to estimate their effects on the probability of epidemic occurrence. Modeling of the hypothetical metapopulation revealed that a reduction in the number of large-sized colonies would lead to an increase in the probability of epidemic occurrence within the bat population, whereas the strong spatial coupling among colonies was found to dilute the effects of altering the number of colonies and the number of bats in each colony through culling or colony dispersal of bats on the probability that an epidemic within the bat population would occur. Culling and colony dispersal scenarios showed no significantly beneficial effect with respect to reducing the probability of an HeV epidemic occurring in flying foxes, and may indeed prove counterproductive. In conclusion, the modeling results indicate that bat culling and colony dispersal may not be an effective strategy to control HeV epidemics.

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