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Real-time public health communication of local SARS-CoV-2 genomic epidemiology.
Kalinich, Chaney C; Jensen, Cole G; Neugebauer, Peter; Petrone, Mary E; Peña-Hernández, Mario; Ott, Isabel M; Wyllie, Anne L; Alpert, Tara; Vogels, Chantal B F; Fauver, Joseph R; Grubaugh, Nathan D; Brito, Anderson F.
  • Kalinich CC; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Jensen CG; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Neugebauer P; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Petrone ME; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Peña-Hernández M; Department of Microbial Pathogenesis, Yale School of Medicine, New Haven, Connecticut, United States of America.
  • Ott IM; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Wyllie AL; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Alpert T; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Vogels CBF; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Fauver JR; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Grubaugh ND; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
  • Brito AF; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, United States of America.
PLoS Biol ; 18(8): e3000869, 2020 08.
Article in English | MEDLINE | ID: covidwho-727315
ABSTRACT
Genomic epidemiology can provide a unique, real-time understanding of SARS-CoV-2 transmission patterns. Yet the potential for genomic analyses to guide local policy and community-based behavioral decisions is limited because they are often oriented towards specially trained scientists and conducted on a national or global scale. Here, we propose a new paradigm Phylogenetic analyses performed on a local level (municipal, county, or state), with results communicated in a clear, timely, and actionable manner to strengthen public health responses. We believe that presenting results rapidly, and tailored to a non-expert audience, can serve as a template for effective public health response to COVID-19 and other emerging viral diseases.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Public Health / Coronavirus Infections / Information Dissemination / Betacoronavirus Type of study: Observational study / Randomized controlled trials Limits: Humans Language: English Journal: PLoS Biol Journal subject: Biology Year: 2020 Document Type: Article Affiliation country: Journal.pbio.3000869

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Public Health / Coronavirus Infections / Information Dissemination / Betacoronavirus Type of study: Observational study / Randomized controlled trials Limits: Humans Language: English Journal: PLoS Biol Journal subject: Biology Year: 2020 Document Type: Article Affiliation country: Journal.pbio.3000869