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Predicting the potential for zoonotic transmission and host associations for novel viruses.

Pranav S PanditS J AnthonyTracey GoldsteinKevin J OlivalM M DoyleNicole R GardnerB BirdW A SmithD WolkingK GilardiC MonaginT KellyMarcela Maria UhartJonathan H EpsteinC MachalabaMelinda K RostalP DawsonE HaganA SullivanH LiA A ChmuraA LatinneC LangeT O'RourkeSarah Helen OlsonLucy O KeattsA Patricia MendozaA PerezC Dejuste de PaulaDawn M ZimmermanM ValituttoM LeBretonD McIverAriful IslamVeasna DuongM MouicheZheng-Li ShiP MulembakaniC KumakambaM AliN KebedeU TamoufeS Bel-NonoA CamaraJ PamungkasK CoulibalyEhab A Abu-BashaJ KamauS SilithammavongJ DesmondTom HughesE ShiilegdambaO AungD KarmacharyaJ NzizaD NdiayeA GbakimaZ SijaliS WacharapluesadeeE Alandia RoblesB SsebideG SuzánLuis F AguirreM R SolorioT N DholeN T T NgaPeta L HitchensD O JolyK SaylorsA FineS MurrayW KareshPeter DaszakJ A K Mazetnull nullChristine K Johnson
Published in: Communications biology (2022)
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 viruses from other families. Our models further characterize novel viruses through prioritization scores and directly inform surveillance targets to identify host ranges for newly discovered viruses.
Keyphrases
  • endothelial cells
  • public health
  • genetic diversity
  • healthcare
  • induced pluripotent stem cells
  • human health
  • risk assessment