Author: Biggerstaff, Matthew; Cowling, Benjamin J.; Cucunubá, Zulma M.; Dinh, Linh; Ferguson, Neil M.; Gao, Huizhi; Hill, Verity; Imai, Natsuko; Johansson, Michael A.; Kada, Sarah; Morgan, Oliver; Pastore y Piontti, Ana; Polonsky, Jonathan A.; Prasad, Pragati Venkata; Quandelacy, Talia M.; Rambaut, Andrew; Tappero, Jordan W.; Vandemaele, Katelijn A.; Vespignani, Alessandro; Warmbrod, K. Lane; Wong, Jessica Y.
Title: Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19 Cord-id: d0vr45ws Document date: 2020_11_25
ID: d0vr45ws
Snippet: We report key epidemiologic parameter estimates for coronavirus disease identified in peer-reviewed publications, preprint articles, and online reports. Range estimates for incubation period were 1.8–6.9 days, serial interval 4.0–7.5 days, and doubling time 2.3–7.4 days. The effective reproductive number varied widely, with reductions attributable to interventions. Case burden and infection fatality ratios increased with patient age. Implementation of combined interventions could reduce ca
Document: We report key epidemiologic parameter estimates for coronavirus disease identified in peer-reviewed publications, preprint articles, and online reports. Range estimates for incubation period were 1.8–6.9 days, serial interval 4.0–7.5 days, and doubling time 2.3–7.4 days. The effective reproductive number varied widely, with reductions attributable to interventions. Case burden and infection fatality ratios increased with patient age. Implementation of combined interventions could reduce cases and delay epidemic peak up to 1 month. These parameters for transmission, disease severity, and intervention effectiveness are critical for guiding policy decisions. Estimates will likely change as new information becomes available.
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