TY - JOUR
AU - Carlson, Colin J.
AU - Farrell, Maxwell J.
AU - Grange, Zoe
AU - Han, Barbara A.
AU - Mollentze, Nardus
AU - Phelan, Alexandra L.
AU - Rusmassen, Angela L.
AU - Albery, Gregory F.
AU - Bett, Bernard
AU - Brett-Major, David M.
AU - Cohen, Lily E.
AU - Dallas, Tad A.
AU - Eskew, Evan A.
AU - Fagre, Anna C.
AU - Forbes, Kristian M.
AU - Gibb, Rory
AU - Halabi, Sam
AU - Hammer, Charlotte C.
AU - Katz, Rebecca
AU - Kindrachuk, Jason
AU - Muylaert, Renata L.
AU - Nutter, Felicia B.
AU - Ogola, Joseph
AU - Olival, Kevin J.
AU - Rourke, Michelle
AU - Ryan, Sadie J.
AU - Ross, Noam
AU - Seifert, Stephanie N.
AU - Sironen, Tarja
AU - Standley, Claire J.
AU - Taylor, Kishana
AU - Venter, Mariertjie
AU - Webala, Paul W.
PY - 2021
DA - September
TI - The future of zoonotic risk prediction
JO - Philosophical Transactions of the Royal Society of London Series B: Biological Sciences
VL - 376
IS - 1837
DO - https://doi.org/10.1098/rstb.2020.0358
AB - In the light of the urgency raised by the COVID-19 pandemic, global investment in wildlife virology is likely to increase, and new surveillance programmes will identify hundreds of novel viruses that might someday pose a threat to humans. To support the extensive task of laboratory characterization, scientists may increasingly rely on data-driven rubrics or machine learning models that learn from known zoonoses to identify which animal pathogens could someday pose a threat to global health. We synthesize the findings of an interdisciplinary workshop on zoonotic risk technologies to answer the following questions. What are the prerequisites, in terms of open data, equity and interdisciplinary collaboration, to the development and application of those tools? What effect could the technology have on global health? Who would control that technology, who would have access to it and who would benefit from it? Would it improve pandemic prevention? Could it create new challenges?
PB - The Royal Society
UR - https://publichealthscotland.scot/id/43261
KW - Coronavirus (COVID-19)
KW - Digital health and technology
ER