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Reconstructing the course of the COVID-19 epidemic over 2020 for US states and counties: Results of a Bayesian evidence synthesis model.
Chitwood, Melanie H; Russi, Marcus; Gunasekera, Kenneth; Havumaki, Joshua; Klaassen, Fayette; Pitzer, Virginia E; Salomon, Joshua A; Swartwood, Nicole A; Warren, Joshua L; Weinberger, Daniel M; Cohen, Ted; Menzies, Nicolas A.
Afiliación
  • Chitwood MH; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut United States of America.
  • Russi M; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut United States of America.
  • Gunasekera K; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut United States of America.
  • Havumaki J; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut United States of America.
  • Klaassen F; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts United States of America.
  • Pitzer VE; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut United States of America.
  • Salomon JA; Department of Health Policy, Stanford University, Stanford, California United States of America.
  • Swartwood NA; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts United States of America.
  • Warren JL; Department of Biostatistics and Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut United States of America.
  • Weinberger DM; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut United States of America.
  • Cohen T; Department of Epidemiology of Microbial Diseases and Public Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, Connecticut United States of America.
  • Menzies NA; Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts United States of America.
PLoS Comput Biol ; 18(8): e1010465, 2022 08.
Article en En | MEDLINE | ID: mdl-36040963
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Epidemias / COVID-19 Tipo de estudio: Policy_brief / Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Epidemias / COVID-19 Tipo de estudio: Policy_brief / Prognostic_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2022 Tipo del documento: Article