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Epidemiological modeling of SARS-CoV-2 in white-tailed deer (Odocoileus virginianus) reveals conditions for introduction and widespread transmission.
Rosenblatt, Elias; Cook, Jonathan D; DiRenzo, Graziella V; Grant, Evan H Campbell; Arce, Fernando; Pepin, Kim M; Rudolph, F Javiera; Runge, Michael C; Shriner, Susan; Walsh, Daniel P; Mosher, Brittany A.
Afiliação
  • Rosenblatt E; Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, Vermont, United States of America.
  • Cook JD; U.S. Geological Survey, Eastern Ecological Science Center, Laurel, Maryland, United States of America.
  • DiRenzo GV; U. S. Geological Survey, Massachusetts Cooperative Fish and Wildlife Research Unit, University of Massachusetts, Amherst, Massachusetts, United States of America.
  • Grant EHC; Department of Environmental Conservation, University of Massachusetts, Amherst, Massachusetts, United States of America.
  • Arce F; U.S. Geological Survey, Eastern Ecological Science Center, Turner's Falls, Massachusetts, United States of America.
  • Pepin KM; Department of Environmental Conservation, University of Massachusetts, Amherst, Massachusetts, United States of America.
  • Rudolph FJ; National Wildlife Research Center, USDA, APHIS, Fort Collins, Colorado, United States of America.
  • Runge MC; U.S. Geological Survey, Eastern Ecological Science Center, Laurel, Maryland, United States of America.
  • Shriner S; Department of Ecosystem Sciences and Management, Pennsylvania State University, University Park, Pennsylvania, United States of America.
  • Walsh DP; U.S. Geological Survey, Eastern Ecological Science Center, Laurel, Maryland, United States of America.
  • Mosher BA; National Wildlife Research Center, USDA, APHIS, Fort Collins, Colorado, United States of America.
PLoS Comput Biol ; 20(7): e1012263, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38995977
ABSTRACT
Emerging infectious diseases with zoonotic potential often have complex socioecological dynamics and limited ecological data, requiring integration of epidemiological modeling with surveillance. Although our understanding of SARS-CoV-2 has advanced considerably since its detection in late 2019, the factors influencing its introduction and transmission in wildlife hosts, particularly white-tailed deer (Odocoileus virginianus), remain poorly understood. We use a Susceptible-Infected-Recovered-Susceptible epidemiological model to investigate the spillover risk and transmission dynamics of SARS-CoV-2 in wild and captive white-tailed deer populations across various simulated scenarios. We found that captive scenarios pose a higher risk of SARS-CoV-2 introduction from humans into deer herds and subsequent transmission among deer, compared to wild herds. However, even in wild herds, the transmission risk is often substantial enough to sustain infections. Furthermore, we demonstrate that the strength of introduction from humans influences outbreak characteristics only to a certain extent. Transmission among deer was frequently sufficient for widespread outbreaks in deer populations, regardless of the initial level of introduction. We also explore the potential for fence line interactions between captive and wild deer to elevate outbreak metrics in wild herds that have the lowest risk of introduction and sustained transmission. Our results indicate that SARS-CoV-2 could be introduced and maintained in deer herds across a range of circumstances based on testing a range of introduction and transmission risks in various captive and wild scenarios. Our approach and findings will aid One Health strategies that mitigate persistent SARS-CoV-2 outbreaks in white-tailed deer populations and potential spillback to humans.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cervos / SARS-CoV-2 / COVID-19 Limite: Animals / Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cervos / SARS-CoV-2 / COVID-19 Limite: Animals / Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos