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Accounting for Imported Cases in Estimating the Time-Varying Reproductive Number of Coronavirus Disease 2019 in Hong Kong
Author(s) -
Tim K. Tsang,
Peng Wu,
Eric H. Y. Lau,
Benjamin J. Cowling
Publication year - 2021
Publication title -
the journal of infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.69
H-Index - 252
eISSN - 1537-6613
pISSN - 0022-1899
DOI - 10.1093/infdis/jiab299
Subject(s) - outbreak , covid-19 , estimation , disease , transmissibility (structural dynamics) , contact tracing , coronavirus , pandemic , infectious disease (medical specialty) , medicine , demography , geography , virology , economics , physics , management , vibration isolation , quantum mechanics , sociology , vibration
Estimating the time-varying reproductive number, Rt, is critical for monitoring transmissibility of an infectious disease. The impact of imported cases on the estimation is rarely explored. We developed a model to estimate separately the Rt for local cases and imported cases, accounting for imperfect contact tracing of cases. We applied this framework to data on coronavirus disease 2019 outbreaks in Hong Kong. The estimated Rt for local cases rose above 1 in late March 2020, which was undetected by other commonly used methods. When imported cases account for a considerable proportion of all cases, their impact on estimating Rt is critical.

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