The future of zoonotic risk prediction
| Autor: | Michelle Rourke, David M. Brett-Major, Noam Ross, Gregory F. Albery, Maxwell J. Farrell, Evan A. Eskew, Kevin J. Olival, Joseph Ogola, Felicia B. Nutter, Kishana Taylor, Anna C. Fagre, Stephanie N. Seifert, Marietjie Venter, Bernard K. Bett, Renata L. Muylaert, Paul W. Webala, Nardus Mollentze, Alexandra Phelan, Colin J. Carlson, Lily E. Cohen, Sadie J. Ryan, Sam F. Halabi, Rory Gibb, Tad A. Dallas, Angela L. Rasmussen, Barbara A. Han, Rebecca Katz, Claire J. Standley, Tarja Sironen, Kristian M. Forbes, Jason Kindrachuk, Zoe Grange, Charlotte C. Hammer |
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| Přispěvatelé: | Carlson, Colin J. [0000-0001-6960-8434], Farrell, Maxwell J. [0000-0003-0452-6993], Han, Barbara A. [0000-0002-9948-3078], Brett-Major, David M. [0000-0002-7583-8495], Dallas, Tad [0000-0003-3328-9958], Eskew, Evan A. [0000-0002-1153-5356], Fagre, Anna C. [0000-0002-0969-5078], Forbes, Kristian M. [0000-0002-2112-2707], Gibb, Rory [0000-0002-0965-1649], Hammer, Charlotte C. [0000-0002-8288-0288], Ryan, Sadie J. [0000-0002-4308-6321], Apollo - University of Cambridge Repository, Helsinki One Health (HOH), Viral Zoonosis Research Unit, Emerging Infections Research Group, Department of Virology, Veterinary Biosciences, Medicum, Carlson, Colin J [0000-0001-6960-8434], Farrell, Maxwell J [0000-0003-0452-6993], Han, Barbara A [0000-0002-9948-3078], Brett-Major, David M [0000-0002-7583-8495], Eskew, Evan A [0000-0002-1153-5356], Fagre, Anna C [0000-0002-0969-5078], Forbes, Kristian M [0000-0002-2112-2707], Hammer, Charlotte C [0000-0002-8288-0288], Ryan, Sadie J [0000-0002-4308-6321] |
| Rok vydání: | 2021 |
| Předmět: |
Disease reservoir
viral ecology EBOLA global health Animals Wild Airborne transmission General Biochemistry Genetics and Molecular Biology access and benefit sharing 03 medical and health sciences Risk Factors Political science Zoonoses PART III: ZOONOTIC DISEASE RISK AND IMPACTS Pandemic SURVEILLANCE Global health Animals SPILLOVER Pandemics Opinion piece 030304 developmental biology Disease Reservoirs 11832 Microbiology and virology 0303 health sciences Equity (economics) epidemic risk Ecology 030306 microbiology business.industry SARS-CoV-2 AIRBORNE TRANSMISSION COVID-19 HUMANS zoonotic risk Public relations 3142 Public health care science environmental and occupational health 3. Good health Open data machine learning Infectious disease (medical specialty) DISEASES Viruses HIV-1 VIRUS HOST-RANGE General Agricultural and Biological Sciences business Laboratories |
| Zdroj: | Philosophical Transactions of the Royal Society B: Biological Sciences |
| ISSN: | 0962-8436 |
| Popis: | 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? This article is part of the theme issue ‘Infectious disease macroecology: parasite diversity and dynamics across the globe’. |
| Databáze: | OpenAIRE |
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