Assessing a landscape barrier using genetic simulation modelling: Implications for raccoon rabies management

Rees, Erin E.; Pond, Bruce A.; Cullingham, Catherine I.; Tinline, Rowland R.; Ball, David; Kyle, Christopher J.; White, Bradley N.

doi:10.1016/j.prevetmed.2008.03.007

Cited by 39 publications

(43 citation statements)

References 29 publications

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“…Several mathematical and statistical methods are available to study raccoon and skunk habitat use, with implications for rabies occurrence and other health risks [108, 127, 128, 129, 130, 131, 132, 133, 134]. These methods can also help to elucidate how certain landscape features, such as roads, waterways, and habitat fragmentation, combine with raccoon habitat use to affect rabies-control strategies [56, 57, 108, 134, 135, 136], such as targeted baiting, TVR, or other control methods.…”

Section: Modeling Approaches To Understand Wildlife Rabiesmentioning

confidence: 99%

Management and modeling approaches for controlling raccoon rabies: The road to elimination

et al. 2017

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Rabies is an ancient viral disease that significantly impacts human and animal health throughout the world. In the developing parts of the world, dog bites represent the highest risk of rabies infection to people, livestock, and other animals. However, in North America, where several rabies virus variants currently circulate in wildlife, human contact with the raccoon rabies variant leads to the highest per capita population administration of post-exposure prophylaxis (PEP) annually. Previous rabies variant elimination in raccoons (Canada), foxes (Europe), and dogs and coyotes (United States) demonstrates that elimination of the raccoon variant from the eastern US is feasible, given an understanding of rabies control costs and benefits and the availability of proper tools. Also critical is a cooperatively produced strategic plan that emphasizes collaborative rabies management among agencies and organizations at the landscape scale. Common management strategies, alone or as part of an integrated approach, include the following: oral rabies vaccination (ORV), trap-vaccinate-release (TVR), and local population reduction. As a complement, mathematical and statistical modeling approaches can guide intervention planning, such as through contact networks, circuit theory, individual-based modeling, and others, which can be used to better understand and predict rabies dynamics through simulated interactions among the host, virus, environment, and control strategy. Strategies derived from this ecological lens can then be optimized to produce a management plan that balances the ecological needs and program financial resources. This paper discusses the management and modeling strategies that are currently used, or have been used in the past, and provides a platform of options for consideration while developing raccoon rabies virus elimination strategies in the US.

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Section: Modeling Approaches To Understand Wildlife Rabiesmentioning

confidence: 99%

Management and modeling approaches for controlling raccoon rabies: The road to elimination

et al. 2017

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“…(KZ2 is most likely because the mean of the estimated logarithms of probability of data (ln Pr(XjK ) across KZ1 -5 has the greatest rate of change (DK ) at KZ2, as calculated following Evanno et al (2005) In simulation modelling, the quality of model output depends on appropriate representation of system processes. ORM has been validated (Rees 2008;Rees et al 2008a), so we are confident of its ability to represent raccoon ecology and genetics. Our approach demonstrates the value of using landscape genetics to understand disease spread.…”

Section: Discussionmentioning

confidence: 99%

Landscape modelling spatial bottlenecks: implications for raccoon rabies disease spread

et al. 2009

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A landscape genetic simulation modelling approach is used to understand factors affecting raccoon rabies disease spread in southern Ontario, Canada. Using the Ontario Rabies Model, we test the hypothesis that landscape configuration (shape of available habitat) affects dispersal, as indicated by genetic structuring. We simulated range expansions of raccoons from New York into vacant landscapes in Ontario, in two areas that differed by the presence or absence of a landscape constriction. Our results provide theoretical evidence that landscape constriction acts as a vicariant bottleneck. We discuss implications for raccoon rabies spread.

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“…While monitoring rabies may be done in any area, the variable geography of southeastern Tennessee and Appalachian region requires special attention to assess the landscape for natural barriers or corridors of travel [10] [14]. In contrast to states like Kansas or Oklahoma, which are more prairie-like, eastern Tennessee contains a ridge and valley system that produces a much different arena for the wildlife.…”

Section: Justifying Tennessee's Need For Rabies Monitoringmentioning

confidence: 99%

“…Along with this, a habitat connectivity model could also reveal correlation between habitat types and "disease corridors", where NLCD data will be necessary [10] [14]. However, a level of bias must be considered, as the virus would have had to have been observed by humans and with some proximity to developed areas.…”

Section: Justifying Tennessee's Need For Rabies Monitoringmentioning

confidence: 99%

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Spatiotemporal Analysis and Predictive Modeling of Rabies in Tennessee

Hunt¹,

Carroll²,

Wilson³

2018

JGIS

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Among viruses, Rhabdovirus, more commonly known as rabies, is largely monitored throughout landscapes because of its known risks and deadliness. While vaccination and education efforts have been enforced and apparently successful in the past decades, many questions still exist in some regions about the virus's spread and potential. In the United States, the state of Tennessee's Department of Health has documented rabies reports from the 1940s-2010s, but not as many spatial analyses have been performed to further map and assess rabid animals in this variable landscape. Our study proposed to create distribution and density models to give an idea of the types of locations rabid animals have consistently been found. A predictive model was also created using software that simulated landscape fragmentation and habitat connectivity, to provide further insight for potential disease spread. Our results display that Tennessee's central region, which is a more homogenous landscape, tended to host a lot of rabid animals and maintained a rather consistent distribution throughout the years. The predictive model was simulated on a less homogenous landscape and displayed that spread potential can be affected by natural barriers. Each of these spatial results could be of service in future disease monitoring, hopefully for the benefit of wildlife and people alike.

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Assessing a landscape barrier using genetic simulation modelling: Implications for raccoon rabies management

Cited by 39 publications

References 29 publications

Management and modeling approaches for controlling raccoon rabies: The road to elimination

Management and modeling approaches for controlling raccoon rabies: The road to elimination

Landscape modelling spatial bottlenecks: implications for raccoon rabies disease spread

Spatiotemporal Analysis and Predictive Modeling of Rabies in Tennessee

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