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Ecology of Zoonotic Infectious Diseases in Bats: Current Knowledge and Future Directions

Authors: Hayman, D. T. S.; Bowen, R. A.; Cryan, P. M.; McCracken, G. M.; O'Shea, T. J.; Peel, A. J.; Gilbert, A. T.; +2 Authors

Ecology of Zoonotic Infectious Diseases in Bats: Current Knowledge and Future Directions

Abstract

SummaryBats are hosts to a range of zoonotic and potentially zoonotic pathogens. Human activities that increase exposure to bats will likely increase the opportunity for infections to spill over in the future. Ecological drivers of pathogen spillover and emergence in novel hosts, including humans, involve a complex mixture of processes, and understanding these complexities may aid in predicting spillover. In particular, only once the pathogen and host ecologies are known can the impacts of anthropogenic changes be fully appreciated. Cross‐disciplinary approaches are required to understand how host and pathogen ecology interact. Bats differ from other sylvatic disease reservoirs because of their unique and diverse lifestyles, including their ability to fly, often highly gregarious social structures, long lifespans and low fecundity rates. We highlight how these traits may affect infection dynamics and how both host and pathogen traits may interact to affect infection dynamics. We identify key questions relating to the ecology of infectious diseases in bats and propose that a combination of field and laboratory studies are needed to create data‐driven mechanistic models to elucidate those aspects of bat ecology that are most critical to the dynamics of emerging bat viruses. If commonalities can be found, then predicting the dynamics of newly emerging diseases may be possible. This modelling approach will be particularly important in scenarios when population surveillance data are unavailable and when it is unclear which aspects of host ecology are driving infection dynamics.

Country
United States
Keywords

filovirus, 570, Epidemiology not elsewhere classified, Biomedical and clinical sciences, Epidemiology, coronavirus, bats, rabies, bat, Nipah virus, Communicable Diseases, Emerging, Models, Biological, Population ecology, veterinary and food sciences, Zoonoses, Chiroptera, Animals, Humans, Animalia, Veterinary epidemiology, Chordata, Disease Reservoirs, Special Issue–Bats, Agricultural, Public health, Ecology, public health, Life Sciences, 500, Biodiversity, Biological sciences, Mammalia, Mathematical modeling, Public Health, Zoology

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
162
Top 1%
Top 10%
Top 1%
Green
hybrid