Abstract

Identifying the animal reservoirs from which zoonotic viruses will likely emerge is central to understanding the determinants of disease emergence. Accordingly, there has been an increase in studies attempting zoonotic “risk assessment.” Herein, we demonstrate that the virological data on which these analyses are conducted are incomplete, biased, and rapidly changing with ongoing virus discovery. Together, these shortcomings suggest that attempts to assess zoonotic risk using available virological data are likely to be inaccurate and largely only identify those host taxa that have been studied most extensively. We suggest that virus surveillance at the human–animal interface may be more productive.

Highlights

  • Determining which animal species harbour viruses that could potentially infect humans is central to studies of disease emergence

  • A number of studies that assess zoonotic risk understandably rely only on those virus species that have been officially ratified by the International Committee on Taxonomy of Viruses (ICTV) or other databases that rely on ICTV data (e.g., RefSeq, https://www.ncbi.nlm.nih.gov/refseq/)

  • As a case in point, one study [5] that relied on ICTV data analysed 66 avian viruses, only about 14% of the total number of viruses known to infect birds and is likely biased against those viruses recently sampled in apparently healthy animals and that are not associated with zoonotic infection

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Summary

OPEN ACCESS

Citation: Wille M, Geoghegan JL, Holmes EC (2021) How accurately can we assess zoonotic risk? PLoS Biol 19(4): e3001135. https://doi.org/ 10.1371/journal.pbio.3001135 Funding: E.C.H. is funded by an Australian Research Council Australian Laureate Fellowship (FL170100022). M.W. is supported by an Australian Research Council Discovery Early Career Researcher Award (DE200100977). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing interests: The authors have declared that no competing interests exist

Introduction
Limitations of zoonotic risk assessment
The extent and structure of virus data structure have changed markedly
Virus species ratified by the ICTV underestimate viral richness
Limitations of metagenomics for assessing zoonotic risk
Findings
Methods for zoonotic risk assessment
Full Text
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