Journal article
Predicting the potential for zoonotic transmission and host associations for novel viruses
PS Pandit, SJ Anthony, T Goldstein, KJ Olival, MM Doyle, NR Gardner, B Bird, WA Smith, D Wolking, K Gilardi, C Monagin, T Kelly, M Uhart, JH Epstein, C Machalaba, MK Rostal, P Dawson, E Hagan, A Sullivan, H Li Show all
Communications Biology | NATURE PORTFOLIO | Published : 2022
Open access
Abstract
Host-virus associations have co-evolved under ecological and evolutionary selection pressures that shape cross-species transmission and spillover to humans. Observed virus-host associations provide relevant context for newly discovered wildlife viruses to assess knowledge gaps in host-range and estimate pathways for potential human infection. Using models to predict virus-host networks, we predicted the likelihood of humans as hosts for 513 newly discovered viruses detected by large-scale wildlife surveillance at high-risk animal-human interfaces in Africa, Asia, and Latin America. Predictions indicated that novel coronaviruses are likely to infect a greater number of host species than virus..
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Awarded by National Institutes of Health
Funding Acknowledgements
This work was supported by the United States Agency for International Development (USAID) Emerging Pandemic Threat PREDICT program (Cooperative Agreement nos. GHN-A-00-09-00010-00 and AID-OAA-A-14-00102). P.S.P., C.K.J, M.U., K.G., and N.R.G. are also supported by the National Institute Of Allergy And Infectious Diseases of the National Institutes of Health under Award Number U01AI151814. The content is solely the responsibility of the authors and does not necessarily represent the official views of the USAID, National Institutes of Health, or the United States Government. We thank the governments of Bangladesh, Bolivia, Brazil, Cambodia, Cameroon, China, DR Congo, Egypt, Ethiopia, Gabon, Ghana, Guinea, India, Indonesia, Ivory Coast, Jordan,Kenya, Lao PDR, Liberia, Malaysia, Mexico, Mongolia, Myanmar, Nepal, Peru, Republic of Congo, Rwanda, Senegal, Sierra Leone, Tanzania, Thailand, Uganda, and Vietnam for permission to conduct this study, and the field teams and collaborating laboratories that performed sample collection and testing.