Ranking the risk of animal-to-human spillover for newly discovered viruses
Ranking the risk of animal-to-human spillover for newly discovered viruses
About this item
Full title
Author / Creator
Grange, Zoë L. , Goldstein, Tracey , Johnson, Christine K. , Anthony, Simon , Gilardi, Kirsten , Daszak, Peter , Olival, Kevin J. , O’Rourke, Tammie , Murray, Suzan , Olson, Sarah H. , Togami, Eri , Vidal, Gema , Mazet, Jonna A. K. , PREDICT Consortium , Expert Panel , Expert Panel , PREDICT Consortium , those who wish to remain anonymous , University of Edinburgh Epigroup members and University of Edinburgh Epigroup members those who wish to remain anonymous
Publisher
United States: National Academy of Sciences
Journal title
Language
English
Formats
Publication information
Publisher
United States: National Academy of Sciences
Subjects
More information
Scope and Contents
Contents
The death toll and economic loss resulting from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic are stark reminders that we are vulnerable to zoonotic viral threats. Strategies are needed to identify and characterize animal viruses that pose the greatest risk of spillover and spread in humans and inform public health inter...
Alternative Titles
Full title
Ranking the risk of animal-to-human spillover for newly discovered viruses
Authors, Artists and Contributors
Author / Creator
Goldstein, Tracey
Johnson, Christine K.
Anthony, Simon
Gilardi, Kirsten
Daszak, Peter
Olival, Kevin J.
O’Rourke, Tammie
Murray, Suzan
Olson, Sarah H.
Togami, Eri
Vidal, Gema
Mazet, Jonna A. K.
PREDICT Consortium
Expert Panel
Expert Panel
PREDICT Consortium
those who wish to remain anonymous
University of Edinburgh Epigroup members
University of Edinburgh Epigroup members those who wish to remain anonymous
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8053939
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8053939
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.2002324118
