Essential epidemiological parameters of COVID-19 for clinical and mathematical modeling purposes: a rapid review and meta-analysis
Essential epidemiological parameters of COVID-19 for clinical and mathematical modeling purposes: a rapid review and meta-analysis
Abstract We present a literature review and meta-analysis of relevant epidemiological parameters (24 for adults, 7 for children) of COVID-19. Standardization of these parameters is key to performing valid clinical and mathematical modeling, as well as forecasts, helping us to improve our understanding about the characteristics and impact of the pandemic.
Navarro Miriam、Fonfr¨aa Eva S.、Herrador Zaida、Vigo Mar¨aa Isabel、Bordehore Cesar、Garc¨aa-Garc¨aa David
Multidisciplinary Institute for Environmental Studies ?°Ramon Margalef?±, University of Alicante||Department of Public Health, Science History and Gynecology, Universidad Miguel Hern¨￠ndezMultidisciplinary Institute for Environmental Studies ?°Ramon Margalef?±, University of AlicanteNational Centre of Tropical Medicine, Instituto de Salud Carlos IIIDepartment of Applied Mathematics, University of AlicanteMultidisciplinary Institute for Environmental Studies ?°Ramon Margalef?±, University of Alicante||Department of Ecology, University of AlicanteDepartment of Applied Mathematics, University of Alicante
医学研究方法预防医学基础医学
COVID-19epidemiological parametersmathematical modelingreviewmeta-analysis
Navarro Miriam,Fonfr¨aa Eva S.,Herrador Zaida,Vigo Mar¨aa Isabel,Bordehore Cesar,Garc¨aa-Garc¨aa David.Essential epidemiological parameters of COVID-19 for clinical and mathematical modeling purposes: a rapid review and meta-analysis[EB/OL].(2025-03-28)[2025-05-05].https://www.medrxiv.org/content/10.1101/2020.06.17.20133587.点此复制
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