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Animal models for COVID-19

Author

Listed:
  • César Muñoz-Fontela

    (Bernhard Nocht Institute for Tropical Medicine
    Partner site Hamburg-Lübeck-Borstel-Riems)

  • William E. Dowling

    (Centre for Epidemic Preparedness Innovations (CEPI))

  • Simon G. P. Funnell

    (National Infection Service, Public Health England)

  • Pierre-S. Gsell

    (World Health Organization)

  • A. Ximena Riveros-Balta

    (World Health Organization)

  • Randy A. Albrecht

    (Icahn School of Medicine at Mount Sinai)

  • Hanne Andersen

    (Bioqual Inc)

  • Ralph S. Baric

    (University of North Carolina at Chapel Hill)

  • Miles W. Carroll

    (National Infection Service, Public Health England)

  • Marco Cavaleri

    (European Medicines Agency)

  • Chuan Qin

    (Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College)

  • Ian Crozier

    (Clinical Monitoring Research Program Directorate, Frederick National Laboratory for Cancer Research)

  • Kai Dallmeier

    (Rega Institute, Laboratory of Virology and Chemotherapy)

  • Leon Waal

    (Viroclinics Xplore)

  • Emmie Wit

    (National Institutes of Health)

  • Leen Delang

    (Rega Institute, Laboratory of Virology and Chemotherapy)

  • Erik Dohm

    (University of Alabama at Birmingham)

  • W. Paul Duprex

    (University of Pittsburgh)

  • Darryl Falzarano

    (University of Saskatchewan)

  • Courtney L. Finch

    (National Institute of Allergy and Infectious Diseases, National Institutes of Health)

  • Matthew B. Frieman

    (University of Maryland School of Medicine)

  • Barney S. Graham

    (National Institutes of Health)

  • Lisa E. Gralinski

    (University of North Carolina at Chapel Hill)

  • Kate Guilfoyle

    (Viroclinics Xplore)

  • Bart L. Haagmans

    (Erasmus University Medical Center)

  • Geraldine A. Hamilton

    (Emulate Inc)

  • Amy L. Hartman

    (University of Pittsburgh)

  • Sander Herfst

    (Erasmus University Medical Center)

  • Suzanne J. F. Kaptein

    (Rega Institute, Laboratory of Virology and Chemotherapy)

  • William B. Klimstra

    (University of Pittsburgh)

  • Ivana Knezevic

    (World Health Organization)

  • Philip R. Krause

    (Center for Biologics Evaluation and Research, FDA)

  • Jens H. Kuhn

    (National Institute of Allergy and Infectious Diseases, National Institutes of Health)

  • Roger Grand

    (Université Paris-Saclay)

  • Mark G. Lewis

    (Bioqual Inc)

  • Wen-Chun Liu

    (Icahn School of Medicine at Mount Sinai)

  • Pauline Maisonnasse

    (Université Paris-Saclay)

  • Anita K. McElroy

    (University of Pittsburgh School of Medicine)

  • Vincent Munster

    (National Institutes of Health)

  • Nadia Oreshkova

    (Wageningen University and Research)

  • Angela L. Rasmussen

    (Columbia Mailman |School of Public Health)

  • Joana Rocha-Pereira

    (Rega Institute, Laboratory of Virology and Chemotherapy)

  • Barry Rockx

    (Erasmus University Medical Center)

  • Estefanía Rodríguez

    (Bernhard Nocht Institute for Tropical Medicine
    Partner site Hamburg-Lübeck-Borstel-Riems)

  • Thomas F. Rogers

    (University of California San Diego)

  • Francisco J. Salguero

    (National Infection Service, Public Health England)

  • Michael Schotsaert

    (Icahn School of Medicine at Mount Sinai)

  • Koert J. Stittelaar

    (Viroclinics Xplore)

  • Hendrik Jan Thibaut

    (Rega Institute, Laboratory of Virology and Chemotherapy)

  • Chien-Te Tseng

    (University of Texas Medical Branch)

  • Júlia Vergara-Alert

    (Campus Universitat Autònoma de Barcelona)

  • Martin Beer

    (Institute of Diagnostic Virology, Friedrich-Loeffler-Institut)

  • Trevor Brasel

    (University of Texas Medical Branch)

  • Jasper F. W. Chan

    (The University of Hong Kong)

  • Adolfo García-Sastre

    (Icahn School of Medicine at Mount Sinai)

  • Johan Neyts

    (Rega Institute, Laboratory of Virology and Chemotherapy)

  • Stanley Perlman

    (University of Iowa)

  • Douglas S. Reed

    (University of Pittsburgh)

  • Juergen A. Richt

    (Kansas State University)

  • Chad J. Roy

    (Tulane National Primate Research Center)

  • Joaquim Segalés

    (Campus Universitat Autònoma de Barcelona
    Facultat de Veterinària, UAB)

  • Seshadri S. Vasan

    (Australian Centre for Disease Preparedness, CSIRO, Geelong
    University of York)

  • Ana María Henao-Restrepo

    (World Health Organization)

  • Dan H. Barouch

    (Harvard Medical School)

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the aetiological agent of coronavirus disease 2019 (COVID-19), an emerging respiratory infection caused by the introduction of a novel coronavirus into humans late in 2019 (first detected in Hubei province, China). As of 18 September 2020, SARS-CoV-2 has spread to 215 countries, has infected more than 30 million people and has caused more than 950,000 deaths. As humans do not have pre-existing immunity to SARS-CoV-2, there is an urgent need to develop therapeutic agents and vaccines to mitigate the current pandemic and to prevent the re-emergence of COVID-19. In February 2020, the World Health Organization (WHO) assembled an international panel to develop animal models for COVID-19 to accelerate the testing of vaccines and therapeutic agents. Here we summarize the findings to date and provides relevant information for preclinical testing of vaccine candidates and therapeutic agents for COVID-19.

Suggested Citation

  • César Muñoz-Fontela & William E. Dowling & Simon G. P. Funnell & Pierre-S. Gsell & A. Ximena Riveros-Balta & Randy A. Albrecht & Hanne Andersen & Ralph S. Baric & Miles W. Carroll & Marco Cavaleri & C, 2020. "Animal models for COVID-19," Nature, Nature, vol. 586(7830), pages 509-515, October.
  • Handle: RePEc:nat:nature:v:586:y:2020:i:7830:d:10.1038_s41586-020-2787-6
    DOI: 10.1038/s41586-020-2787-6
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    Cited by:

    1. Lucie Beranová & Marcin P. Joachimiak & Tomáš Kliegr & Gollam Rabby & Vilém Sklenák, 2022. "Why was this cited? Explainable machine learning applied to COVID-19 research literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2313-2349, May.

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