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

Authors

D. T. S. Hayman, University of CambridgeFollow
R. A. Bowen, Colorado State University
P. M. Cryan, U.S. Geological SurveyFollow
G. M. McCracken, University of Tennessee
T. J. O'Shea, U.S. Geological Survey
A. J. Peel, University of Cambridge
A. T. Gilbert, National Center for Emerging and Zoonotic Infectious DiseasesFollow
C. T. Webb, Colorado State UniversityFollow
J. L. N. Wood, University of Cambridge

Document Type

Article

Date of this Version

2013

Citation

Hayman, D.T.S., R.A. Bowen, P.M. Cryan, G.F. McCracken, T.J. O’Shea, A.J. Peel, A .Gilbert, C.T. Webb, and J.L.N. Wood. 2013. Ecology of zoonotic infectious diseases in bats: Current knowledge and future directions. Zoonoses and Public Health 60(1):2-21. doi: 10.1111/zph.12000.

Comments

U.S. government work.

Abstract

Bats 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.