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

dc.contributor.authorPranav Pandit
dc.contributor.authorSimon J. Anthony
dc.contributor.authorTracey Goldstein
dc.contributor.authorKevin J. Olival
dc.contributor.authorMegan Doyle
dc.contributor.authorNicole R. Gardner
dc.contributor.authorBrian H. Bird
dc.contributor.authorWoutrina Smith
dc.contributor.authorDavid J. Wolking
dc.contributor.authorK Gilardi
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T20:43:35Z
dc.date.available2026-03-22T20:43:35Z
dc.date.issued2022
dc.descriptionCitaciones: 3
dc.description.abstract<title>Abstract</title> 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 host 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.
dc.identifier.doi10.21203/rs.3.rs-846253/v1
dc.identifier.urihttps://doi.org/10.21203/rs.3.rs-846253/v1
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/83710
dc.language.isoen
dc.sourceUniversity of California, Davis
dc.subjectHost (biology)
dc.subjectTransmission (telecommunications)
dc.subjectVirology
dc.subjectBiology
dc.titlePredicting the potential for zoonotic transmission and host associations for novel viruses
dc.typepreprint

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