Dataset Information

Animal models for COVID-19.

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.

SUBMITTER: Munoz-Fontela C

PROVIDER: S-EPMC8136862 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Animal models for COVID-19.

Muñoz-Fontela César C Dowling William E WE Funnell Simon G P SGP Gsell Pierre-S PS Riveros-Balta A Ximena AX Albrecht Randy A RA Andersen Hanne H Baric Ralph S RS Carroll Miles W MW Cavaleri Marco M Qin Chuan C Crozier Ian I Dallmeier Kai K de Waal Leon L de Wit Emmie E Delang Leen L Dohm Erik E Duprex W Paul WP Falzarano Darryl D Finch Courtney L CL Frieman Matthew B MB Graham Barney S BS Gralinski Lisa E LE Guilfoyle Kate K Haagmans Bart L BL Hamilton Geraldine A GA Hartman Amy L AL Herfst Sander S Kaptein Suzanne J F SJF Klimstra William B WB Knezevic Ivana I Krause Philip R PR Kuhn Jens H JH Le Grand Roger R Lewis Mark G MG Liu Wen-Chun WC Maisonnasse Pauline P McElroy Anita K AK Munster Vincent V Oreshkova Nadia N Rasmussen Angela L AL Rocha-Pereira Joana J Rockx Barry B Rodríguez Estefanía E Rogers Thomas F TF Salguero Francisco J FJ Schotsaert Michael M Stittelaar Koert J KJ Thibaut Hendrik Jan HJ Tseng Chien-Te CT Vergara-Alert Júlia J Beer Martin M Brasel Trevor T Chan Jasper F W JFW García-Sastre Adolfo A Neyts Johan J Perlman Stanley S Reed Douglas S DS Richt Juergen A JA Roy Chad J CJ Segalés Joaquim J Vasan Seshadri S SS Henao-Restrepo Ana María AM Barouch Dan H DH

Nature 20200923 7830

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 urg ...[more]

PMID: 32967005

Similar Datasets

Project description:Recent events related to the measures taken to control the spread of the Coronavirus (SARS-CoV-2) reduced human mobility (i.e. anthropause), potentially opening connectivity opportunities for wildlife populations. In the Italian Alps, brown bears have recovered after reintroduction within a complex anthropogenic matrix, but failed to establish a metapopulation due to reduced connectivity and human disturbance (i.e. infrastructure, land use, and human mobility). Previous work from Peters et al. (2015, Biol. Cons. 186, 123-133) predicted the main corridors and suitable hot spots for road network crossing for this population across all major roads and settlement zones, to link most suitable habitats. Bears used the identified hot spots for road network crossing over the years, but major barriers such as main motor roads were not overcome, possibly due to functional anthropogenic disturbance, specifically human mobility. By analyzing 404 bear occurrences reported to local authorities (as bear-related complaints) collected between 2016 and 2020 (March 9th - May 18th), hence including the COVID-19 related lockdown, we tested the effect of human presence on brown bears' use of space and hot spots for road network crossing. Animals occupied human-dominated spaces and approached hot spots for crossing at a higher rate during the lockdown than in previous years, suggesting that connectivity temporarily increased with reduced human mobility for this population. As a result of their increased use of hot spots, bears expanded their use of suitable areas beyond the population core area. Movement of animals across structural barriers such as roads and human settlements may therefore occur in absence of active disturbance. We also showed the value of predictive models to identify hot spots for animal barrier crossing, the knowledge of which is critical when implementing management solutions to enhance connectivity. Understanding the factors that influence immigration and emigration across metapopulations of large mammals, particularly carnivores that may compete indirectly with humans for space or directly as super-predators, is critical to ensure the long-term viability of conservation efforts for their persistence. We argue that dynamic factors such as human mobility may play a larger role than previously recognized.

Dataset Information

Animal models for COVID-19.

Publications

Animal models for COVID-19.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets