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Early insights from statistical and mathematical modeling of key epidemiologic parameters of COVID-19

Authors :
Jordan W Tappero
Matthew Biggerstaff
Benjamin J. Cowling
Linh Dinh
Michael A. Johansson
Andrew Rambaut
Jonathan A. Polonsky
K Lane Warmbrod
Jessica Y. Wong
Natsuko Imai
Sarah Kada
Talia M. Quandelacy
Ana Pastore y Piontti
Neil M. Ferguson
Alessandro Vespignani
Verity Hill
Oliver Morgan
Huizhi Gao
Zulma M. Cucunubá
Katelijn Vandemaele
Pragati V. Prasad
Medical Research Council
Source :
Biggerstaff, M, Cowling, B J, Cucunubá, Z M, Dinh, L, Ferguson, N M, Gao, H, Hill, V, Imai, N, Johansson, M A, Kada, S, Morgan, O, Pastore y Piontti, A, Polonsky, J A, Venkata Prasad, P, Quandelacy, T M, Rambaut, A, Tappero, J W, Vandemaele, K A, Vespignani, A, Warmbrod, K L & Wong, J Y 2020, ' Early insights from statistical and mathematical modeling of key epidemiologic parameters of COVID-19 ', Emerging Infectious Diseases, vol. 26, no. 11 . https://doi.org/10.3201/eid2611.201074, Emerging Infectious Diseases, Emerging Infectious Diseases, Vol 26, Iss 11, Pp-(2020)
Publication Year :
2020
Publisher :
Centers for Disease Control and Prevention (CDC), 2020.

Abstract

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.

Details

Database :
OpenAIRE
Journal :
Biggerstaff, M, Cowling, B J, Cucunubá, Z M, Dinh, L, Ferguson, N M, Gao, H, Hill, V, Imai, N, Johansson, M A, Kada, S, Morgan, O, Pastore y Piontti, A, Polonsky, J A, Venkata Prasad, P, Quandelacy, T M, Rambaut, A, Tappero, J W, Vandemaele, K A, Vespignani, A, Warmbrod, K L & Wong, J Y 2020, ' Early insights from statistical and mathematical modeling of key epidemiologic parameters of COVID-19 ', Emerging Infectious Diseases, vol. 26, no. 11 . https://doi.org/10.3201/eid2611.201074, Emerging Infectious Diseases, Emerging Infectious Diseases, Vol 26, Iss 11, Pp-(2020)
Accession number :
edsair.doi.dedup.....d986694b38cec2ea6265585cd702cf92
Full Text :
https://doi.org/10.3201/eid2611.201074