bioRxiv preprint doi: https://doi.org/10.1101/2020.05.22.111344; this version posted August 5, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Optimizing predictive models to prioritize viral discovery in zoonotic reservoirs Daniel J. Becker1,, Gregory F. Albery2,, Anna R. Sjodin3, Timothée Poisot4, Laura M. Bergner5,6, Tad A. Dallas7, Evan A. Eskew8, Maxwell J. Farrell9, Sarah Guth10, Barbara A. Han11, Nancy B. Simmons12, Michiel Stock13, Emma C. Teeling14, and Colin J. Carlson2,15,16,* These authors share lead author status * Corresponding author:
[email protected] 1. Department of Biology, University of Oklahoma, Norman, OK, U.S.A. 2. Department of Biology, Georgetown University, Washington, D.C., U.S.A. 3. Department of Biological Sciences, University of Idaho, Moscow, ID, U.S.A. 4. Université de Montréal, Département de Sciences Biologiques, Montréal, QC, Canada. 5. Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, U.K. 6. MRC–University of Glasgow Centre for Virus Research, Glasgow, U.K. 7. Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, U.S.A. 8. Department of Biology, Pacific Lutheran University, Tacoma, WA, U.S.A. 9. Department of Ecology & Evolutionary Biology, University of Toronto, Toronto, ON, Canada. 10. Department of Integrative Biology, University of California Berkeley, Berkeley, CA, U.S.A. 11. Cary Institute of Ecosystem Studies, Millbrook, NY, U.S.A.