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Age-sex population adjusted analysis of disease severity in epidemics as a tool to devise public health policies for COVID-19.
Cannistraci, Carlo Vittorio; Valsecchi, Maria Grazia; Capua, Ilaria.
Afiliación
  • Cannistraci CV; Center for Complex Network Intelligence (CCNI) at the Tsinghua Laboratory of Brain and Intelligence (THBI), Department of Biomedical Engineering, Tsinghua University, 160 Chengfu Rd., SanCaiTang Building, Haidian District, Beijing, 100084, China. kalokagathos.agon@gmail.com.
  • Valsecchi MG; Biomedical Cybernetics Group, Biotechnology Center (BIOTEC), Center for Molecular and Cellular Bioengineering (CMCB), Center for Systems Biology Dresden (CSBD), Department of Physics, Technische Universität Dresden, Tatzberg 47/49, 01307, Dresden, Germany. kalokagathos.agon@gmail.com.
  • Capua I; Bicocca Center of Bioinformatics, Biostatistics and Bioimaging, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
Sci Rep ; 11(1): 11787, 2021 06 03.
Article en En | MEDLINE | ID: mdl-34083555
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Política Pública / COVID-19 / Política de Salud Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
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XML
PubMed Links
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Política Pública / COVID-19 / Política de Salud Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: China