Literature DB >> 33878111

How accurately can we assess zoonotic risk?

Michelle Wille1, Jemma L Geoghegan2,3, Edward C Holmes1.   

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.

Entities:  

Year:  2021        PMID: 33878111     DOI: 10.1371/journal.pbio.3001135

Source DB:  PubMed          Journal:  PLoS Biol        ISSN: 1544-9173            Impact factor:   8.029


  12 in total

Review 1.  Diversity and evolution of the animal virome.

Authors:  Erin Harvey; Edward C Holmes
Journal:  Nat Rev Microbiol       Date:  2022-01-04       Impact factor: 60.633

Review 2.  The science of the host-virus network.

Authors:  Gregory F Albery; Daniel J Becker; Liam Brierley; Cara E Brook; Rebecca C Christofferson; Lily E Cohen; Tad A Dallas; Evan A Eskew; Anna Fagre; Maxwell J Farrell; Emma Glennon; Sarah Guth; Maxwell B Joseph; Nardus Mollentze; Benjamin A Neely; Timothée Poisot; Angela L Rasmussen; Sadie J Ryan; Stephanie Seifert; Anna R Sjodin; Erin M Sorrell; Colin J Carlson
Journal:  Nat Microbiol       Date:  2021-11-24       Impact factor: 30.964

3.  Mammal virus diversity estimates are unstable due to accelerating discovery effort.

Authors:  Rory Gibb; Gregory F Albery; Nardus Mollentze; Evan A Eskew; Liam Brierley; Sadie J Ryan; Stephanie N Seifert; Colin J Carlson
Journal:  Biol Lett       Date:  2022-01-05       Impact factor: 3.703

Review 4.  Selected Livestock-Associated Zoonoses as a Growing Challenge for Public Health.

Authors:  Kacper Libera; Kacper Konieczny; Julia Grabska; Wiktoria Szopka; Agata Augustyniak; Małgorzata Pomorska-Mól
Journal:  Infect Dis Rep       Date:  2022-01-13

Review 5.  Challenges in modelling the dynamics of infectious diseases at the wildlife-human interface.

Authors:  Mick Roberts; Andrew Dobson; Olivier Restif; Konstans Wells
Journal:  Epidemics       Date:  2021-11-19       Impact factor: 5.324

6.  Biological invasions facilitate zoonotic disease emergences.

Authors:  Lin Zhang; Jason Rohr; Ruina Cui; Xuan Liu; Yusi Xin; Lixia Han; Xiaona Yang; Shimin Gu; Yuanbao Du; Jing Liang; Xuyu Wang; Zhengjun Wu; Qin Hao
Journal:  Nat Commun       Date:  2022-04-01       Impact factor: 17.694

Review 7.  Animal alphacoronaviruses found in human patients with acute respiratory illness in different countries.

Authors:  Anastasia N Vlasova; Teck-Hock Toh; Jeffrey Soon-Yit Lee; Yong Poovorawan; Phillip Davis; Marli S P Azevedo; John A Lednicky; Linda J Saif; Gregory C Gray
Journal:  Emerg Microbes Infect       Date:  2022-12       Impact factor: 7.163

8.  Bats host the most virulent-but not the most dangerous-zoonotic viruses.

Authors:  Sarah Guth; Nardus Mollentze; Katia Renault; Daniel G Streicker; Elisa Visher; Mike Boots; Cara E Brook
Journal:  Proc Natl Acad Sci U S A       Date:  2022-03-29       Impact factor: 12.779

9.  Estimation of Ebola's spillover infection exposure in Sierra Leone based on sociodemographic and economic factors.

Authors:  Sena Mursel; Nathaniel Alter; Lindsay Slavit; Anna Smith; Paolo Bocchini; Javier Buceta
Journal:  PLoS One       Date:  2022-09-01       Impact factor: 3.752

10.  Identifying and prioritizing potential human-infecting viruses from their genome sequences.

Authors:  Nardus Mollentze; Simon A Babayan; Daniel G Streicker
Journal:  PLoS Biol       Date:  2021-09-28       Impact factor: 8.029

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