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A quantitative assessment of epidemiological parameters required to investigate COVID-19 burden.
Zardini, Agnese; Galli, Margherita; Tirani, Marcello; Cereda, Danilo; Manica, Mattia; Trentini, Filippo; Guzzetta, Giorgio; Marziano, Valentina; Piccarreta, Raffaella; Melegaro, Alessia; Ajelli, Marco; Poletti, Piero; Merler, Stefano.
Afiliación
  • Zardini A; Bruno Kessler Foundation, Trento, Italy.
  • Galli M; Bruno Kessler Foundation, Trento, Italy; Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy.
  • Tirani M; Directorate General for Health, Lombardy Region, Milan, Italy; Health Protection Agency of the Metropolitan Area of Milan, Milano, Italy.
  • Cereda D; Directorate General for Health, Lombardy Region, Milan, Italy.
  • Manica M; Bruno Kessler Foundation, Trento, Italy.
  • Trentini F; Bruno Kessler Foundation, Trento, Italy; Dondena Centre for Research on Social Dynamics and Public Policy, and CovidCrisisLab, Bocconi University, Milan, Italy.
  • Guzzetta G; Bruno Kessler Foundation, Trento, Italy.
  • Marziano V; Bruno Kessler Foundation, Trento, Italy.
  • Piccarreta R; Dondena Centre for Research on Social Dynamics and Public Policy, and CovidCrisisLab, Bocconi University, Milan, Italy; Department of Decision Sciences, Bocconi University, Milan, Italy.
  • Melegaro A; Dondena Centre for Research on Social Dynamics and Public Policy, and CovidCrisisLab, Bocconi University, Milan, Italy; Department of Social and Political Sciences, Bocconi University, Milan, Italy.
  • Ajelli M; Laboratory for Computational Epidemiology and Public Health, Indiana University School of Public Health, Bloomington, United States.
  • Poletti P; Bruno Kessler Foundation, Trento, Italy. Electronic address: poletti@fbk.eu.
  • Merler S; Bruno Kessler Foundation, Trento, Italy.
Epidemics ; 37: 100530, 2021 12.
Article en En | MEDLINE | ID: mdl-34826786
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Epidemics Año: 2021 Tipo del documento: Article País de afiliación: Italia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Epidemics Año: 2021 Tipo del documento: Article País de afiliación: Italia