Imperial College London
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Dr Natsuko Imai

Faculty of Medicine, School of Public Health

Honorary Senior Research Fellow
 
 
 
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Contact

 

n.imai Website

 
 
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Location

 

G26Medical SchoolSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Biggerstaff:2020:10.3201/eid2611.201074,
author = {Biggerstaff, M and Cowling, BJ and Cucunubá, ZM and Dinh, L and Ferguson, NM and Gao, H and Hill, V and Imai, N and Johansson, MA and Kada, S and Morgan, O and Pastore, y Piontti A and Polonsky, JA and Prasad, PV and Quandelacy, TM and Rambaut, A and Tappero, JW and Vandemaele, KA and Vespignani, A and Warmbrod, KL and Wong, JY},
doi = {10.3201/eid2611.201074},
journal = {Emerging Infectious Diseases},
title = {Early insights from statistical and mathematical modeling of key epidemiologic parameters of COVID-19},
url = {http://dx.doi.org/10.3201/eid2611.201074},
volume = {26},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Biggerstaff,M
AU  - Cowling,BJ
AU  - Cucunubá,ZM
AU  - Dinh,L
AU  - Ferguson,NM
AU  - Gao,H
AU  - Hill,V
AU  - Imai,N
AU  - Johansson,MA
AU  - Kada,S
AU  - Morgan,O
AU  - Pastore,y Piontti A
AU  - Polonsky,JA
AU  - Prasad,PV
AU  - Quandelacy,TM
AU  - Rambaut,A
AU  - Tappero,JW
AU  - Vandemaele,KA
AU  - Vespignani,A
AU  - Warmbrod,KL
AU  - Wong,JY
DO  - 10.3201/eid2611.201074
PY  - 2020///
SN  - 1080-6040
TI  - Early insights from statistical and mathematical modeling of key epidemiologic parameters of COVID-19
T2  - Emerging Infectious Diseases
UR  - http://dx.doi.org/10.3201/eid2611.201074
UR  - https://wwwnc.cdc.gov/eid/article/26/11/20-1074_article
UR  - http://hdl.handle.net/10044/1/82558
VL  - 26
ER  -
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