Evidence map›Paper›PMID 33162142›Full record

ArticleThe Science of the total environment2021

Risk assessment of SARS-CoV-2 in Antarctic wildlife.

Andrés Barbosa, Arvind Varsani, Virginia Morandini, Wray Grimaldi, Ralph E T Vanstreels, Julia I Diaz, Thierry Boulinier, Meagan Dewar, Daniel González-Acuña, Rachael Gray and 5 more

Abstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Long-term maintenance of aMicrobiology spectrum · 2025
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  15. Predicting the zoonotic capacity of mammals to transmit SARS-CoV-2.bioRxiv : the preprint server for biology · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Andrés BarbosaEvolutionary Ecology Dpt. Museo Nacional de Ciencias Naturales, CSIC, C/José Gutierrez Abascal, 2, 28006 Madrid, Spain. Electronic address: barbosa@mncn.csic.es.
Arvind VarsaniThe Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA; Structural Biology Research Unit, Department of Integrative Biomedical Sciences, University of Cape Town, Observatory, Cape Town, South Africa.
Virginia MorandiniOregon Cooperative Fish and Wildlife Research Unit, Department of Fisheries and Wildlife, Oregon State University, Oregon, USA.
Wray GrimaldiPO Box 231938, Encinitas, CA, USA.
Ralph E T VanstreelsInstitute of Research and Rehabilitation of Marine Animals (IPRAM), Rodovia, Cariacica, Brazil.
Julia I DiazCentro de Estudios Parasitológicos y de Vectores (CEPAVE-UNLP-CONICET), La Plata, Buenos Aires, Argentina.
Thierry BoulinierCentre d'Ecologie Fonctionnelle et Evolutive, CNRS, Université de Montpellier, EPHE, Université Paul Valéry Montpellier 3, IRD, Montpellier, France.
Meagan DewarSchool of Science, Psychology and Sport, Federation University Australia, Australia.
Daniel González-AcuñaLaboratorio de Parásitos y Enfermedades de Fauna Silvestre, Facultad de Ciencias Veterinarias, Universidad de Concepción, Chillán, Chile.
Rachael GraySydney School of Veterinary Science, Faculty of Science, The University of Sydney, NSW, Australia.
Clive R McMahonIMOS Animal Satellite Tagging, Sydney Institute of Marine Science, Mosman, New South Wales, Australia.
Gary MillerDiscipline of Microbiology and Immunology, University of Western Australia, Crawley, WA 6009, Australia.
Michelle PowerDepartment of Biological Sciences, Macquarie University, NSW 2109, Australia.
Amandine GambleDepartment of Ecology and Evolution, University of California Los Angeles, CA, USA.
Michelle WilleMarie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, New South Wales, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This pathogen has spread rapidly across the world, causing high numbers of deaths and significant social and economic impacts. SARS-CoV-2 is a novel coronavirus with a suggested zoonotic origin with the potential for cross-species transmission among animals. Antarctica can be considered the only continent free of SARS-CoV-2. Therefore, concerns have been expressed regarding the potential human introduction of this virus to the continent through the activities of research or tourism to minimise the effects on human health, and the potential for virus transmission to Antarctic wildlife. We assess the reverse-zoonotic transmission risk to Antarctic wildlife by considering the available information on host susceptibility, dynamics of the infection in humans, and contact interactions between humans and Antarctic wildlife. The environmental conditions in Antarctica seem to be favourable for the virus stability. Indoor spaces such as those at research stations, research vessels or tourist cruise ships could allow for more transmission among humans and depending on their movements between different locations the virus could be spread across the continent. Among Antarctic wildlife previous in silico analyses suggested that cetaceans are at greater risk of infection whereas seals and birds appear to be at a low infection risk. However, caution needed until further research is carried out and consequently, the precautionary principle should be applied. Field researchers handling animals are identified as the human group posing the highest risk of transmission to animals while tourists and other personnel pose a significant risk only when in close proximity (< 5 m) to Antarctic fauna. We highlight measures to reduce the risk as well as identify of knowledge gaps related to this issue.

Indexed as

COVID-19ZoonosesAnimalsAntarctic RegionsHumansRisk AssessmentSARS-CoV-2AntarcticaCoronavirusCOVID-19Mitigation measuresReverse zoonosesTransmission

Identifiers

PMID33162142
PMCPMC7598351

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.