Coronaviruses in farm animals: Epidemiology and public health implications

Vet Med Sci. 2021 Mar;7(2):322-347. doi: 10.1002/vms3.359. Epub 2020 Sep 25.

Abstract

Coronaviruses (CoVs) are documented in a wide range of animal species, including terrestrial and aquatic, domestic and wild. The geographic distribution of animal CoVs is worldwide and prevalences were reported in several countries across the five continents. The viruses are known to cause mainly gastrointestinal and respiratory diseases with different severity levels. In certain cases, CoV infections are responsible of huge economic losses associated or not to highly public health impact. Despite being enveloped, CoVs are relatively resistant pathogens in the environment. Coronaviruses are characterized by a high mutation and recombination rate, which makes host jumping and cross-species transmission easy. In fact, increasing contact between different animal species fosters cross-species transmission, while agriculture intensification, animal trade and herd management are key drivers at the human-animal interface. If contacts with wild animals are still limited, humans have much more contact with farm animals, during breeding, transport, slaughter and food process, making CoVs a persistent threat to both humans and animals. A global network should be established for the surveillance and monitoring of animal CoVs.

Keywords: Coronaviruses; domestic animals; host jump; public health; widespread.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Animals, Domestic / virology*
  • COVID-19* / economics
  • COVID-19* / epidemiology
  • COVID-19* / transmission
  • COVID-19* / virology
  • Coronavirus / classification*
  • Coronavirus / pathogenicity
  • Coronavirus / physiology
  • Coronavirus Infections / economics
  • Coronavirus Infections / epidemiology
  • Coronavirus Infections / veterinary*
  • Coronavirus Infections / virology
  • Humans
  • Public Health* / economics
  • Public Health* / statistics & numerical data
  • Public Health* / trends