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The science of the host-virus network.
Albery, Gregory F; Becker, Daniel J; Brierley, Liam; Brook, Cara E; Christofferson, Rebecca C; Cohen, Lily E; Dallas, Tad A; Eskew, Evan A; Fagre, Anna; Farrell, Maxwell J; Glennon, Emma; Guth, Sarah; Joseph, Maxwell B; Mollentze, Nardus; Neely, Benjamin A; Poisot, Timothée; Rasmussen, Angela L; Ryan, Sadie J; Seifert, Stephanie; Sjodin, Anna R; Sorrell, Erin M; Carlson, Colin J.
Afiliación
  • Albery GF; Department of Biology, Georgetown University, Washington DC, USA. gfalbery@gmail.com.
  • Becker DJ; Department of Biology, University of Oklahoma, Norman, OK, USA.
  • Brierley L; Institute of Translational Medicine, University of Liverpool, Liverpool, UK.
  • Brook CE; Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
  • Christofferson RC; Department of Pathobiological Sciences, Louisiana State University, Baton Rouge, LA, USA.
  • Cohen LE; Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Dallas TA; Department of Biological Sciences, University of South Carolina, Columbia, SC, USA.
  • Eskew EA; Department of Biology, Pacific Lutheran University, Tacoma, WA, USA.
  • Fagre A; Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA.
  • Farrell MJ; Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario, Canada.
  • Glennon E; Disease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
  • Guth S; Department of Integrative Biology, University of California, Berkeley, Berkeley, CA, USA.
  • Joseph MB; Earth Lab, Cooperative Institute for Research in Environmental Science, University of Colorado Boulder, Boulder, CO, USA.
  • Mollentze N; Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.
  • Neely BA; MRC - University of Glasgow Centre for Virus Research, Glasgow, UK.
  • Poisot T; National Institute of Standards and Technology, Charleston, SC, USA.
  • Rasmussen AL; Québec Centre for Biodiversity Sciences, Montréal, Québec, Canada.
  • Ryan SJ; Département de Sciences Biologiques, Université de Montréal, Montréal, Québec, Canada.
  • Seifert S; Vaccine and Infectious Disease Organization, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
  • Sjodin AR; Department of Biochemistry, Microbiology, and Immunology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
  • Sorrell EM; Department of Geography, University of Florida, Gainesville, FL, USA.
  • Carlson CJ; Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Nat Microbiol ; 6(12): 1483-1492, 2021 12.
Article en En | MEDLINE | ID: mdl-34819645
ABSTRACT
Better methods to predict and prevent the emergence of zoonotic viruses could support future efforts to reduce the risk of epidemics. We propose a network science framework for understanding and predicting human and animal susceptibility to viral infections. Related approaches have so far helped to identify basic biological rules that govern cross-species transmission and structure the global virome. We highlight ways to make modelling both accurate and actionable, and discuss the barriers that prevent researchers from translating viral ecology into public health policies that could prevent future pandemics.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Virosis / Fenómenos Fisiológicos de los Virus / Interacciones Huésped-Patógeno Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Nat Microbiol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Virosis / Fenómenos Fisiológicos de los Virus / Interacciones Huésped-Patógeno Tipo de estudio: Prognostic_studies Límite: Animals / Humans Idioma: En Revista: Nat Microbiol Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos