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Characteristics and risk factors associated with COVID-19 reinfection in Hong Kong: a retrospective cohort study

Published online by Cambridge University Press:  07 February 2025

Wenhua Lin*
Affiliation:
Communicable Disease Branch, Centre for Health Protection, Department of Health, Hong Kong
Kin Hang Kung
Affiliation:
Communicable Disease Branch, Centre for Health Protection, Department of Health, Hong Kong
Chung Lam Chan
Affiliation:
Communicable Disease Branch, Centre for Health Protection, Department of Health, Hong Kong
Shuk Kwan Chuang
Affiliation:
Communicable Disease Branch, Centre for Health Protection, Department of Health, Hong Kong
Ka Wing Au
Affiliation:
Communicable Disease Branch, Centre for Health Protection, Department of Health, Hong Kong
*
Corresponding author: Wenhua Lin; Email: wenhua_lin@dh.gov.hk
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Abstract

We aimed to identify risk factors related to COVID-19 reinfection in Hong Kong. We performed a population-based retrospective cohort study and reviewed case-based data on COVID-19 infections reported to the Centre for Health Protection from 8 January 2020 to 29 January 2023. We analyzed the epidemiology of COVID-19 infections and performed a Cox regression analysis. In this period, 3.32% (103,065/3,106,579) of COVID-19 infections recorded were classified as reinfection. Compared with primarily infected cases, a higher proportion of re-infected cases had chronic diseases (33.54% vs. 27.27%) and were residents of residential care homes (RCH) (10.99% vs. 1.41%). The time interval between the two episodes ranged from 31 to 1,050 days (median 282 days). Cox regression analysis of Omicron cases with the adjustment of covariates showed that being female (Hazard Ratio [HR] 1.12, 95% CI 1.11–1.13), chronic diseases (HR 1.18, 95% CI 1.16–1.20) and RCH residents (HR 6.78, 95% CI 6.61–6.95) were associated with reinfection, while additional vaccination after primary infection was protective (HR 0.80, 95% CI 0.79–0.81). Further analytical studies on the risk factors and protectors of COVID-19 reinfection are needed to guide targeted interventions.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© The Government of the Hong Kong Special Administrative Region, China, 2025. Published by Cambridge University Press
Figure 0

Figure 1. Distribution of reinfections among COVID-19 infections from January 2020 to January 2023

Figure 1

Table 1. Comparison of COVID-19 cases with one and two infections in Hong Kong from 8 January 2020 to 29 January 2023

Figure 2

Figure 2. Distribution of reinfection intervals in Hong Kong

Figure 3

Table 2. Comparison of Omicron cases with one and two infections in Hong Kong from 31 December 2021 to 29 January 2023

Figure 4

Figure 3. Kaplan-Meier curve for whole cohort cases by the date of recruitment before or during Omicron waves

Figure 5

Figure 4. Kaplan-Meier (KM) curve for Omicron cases by demographic characteristics and vaccination

Figure 6

Figure 5. Population selection flow chart

Figure 7

Table 3. Risk factors associated with COVID-19 reinfection in Hong Kong identified by Cox regression

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