Cargando…

Incidence of and risk factors for suspected COVID-19 reinfection in Kyoto City: a population-based epidemiological study

To determine the clinical characteristics of and risk factors for suspected reinfection with coronavirus 2019 (COVID-19). This was a retrospective cohort study using population-based notification records of residents in Kyoto City (1.4 M) with laboratory-confirmed COVID-19 infection between 1 March...

Descripción completa

Detalles Bibliográficos
Autores principales: Nagao, Miki, Matsumura, Yasufumi, Yamamoto, Masaki, Shinohara, Koh, Noguchi, Taro, Yukawa, Satomi, Tsuchido, Yasuhiro, Teraishi, Haruma, Inoue, Hiromi, Ikeda, Takeshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241120/
https://www.ncbi.nlm.nih.gov/pubmed/37273038
http://dx.doi.org/10.1007/s10096-023-04625-6
_version_ 1785053916365324288
author Nagao, Miki
Matsumura, Yasufumi
Yamamoto, Masaki
Shinohara, Koh
Noguchi, Taro
Yukawa, Satomi
Tsuchido, Yasuhiro
Teraishi, Haruma
Inoue, Hiromi
Ikeda, Takeshi
author_facet Nagao, Miki
Matsumura, Yasufumi
Yamamoto, Masaki
Shinohara, Koh
Noguchi, Taro
Yukawa, Satomi
Tsuchido, Yasuhiro
Teraishi, Haruma
Inoue, Hiromi
Ikeda, Takeshi
author_sort Nagao, Miki
collection PubMed
description To determine the clinical characteristics of and risk factors for suspected reinfection with coronavirus 2019 (COVID-19). This was a retrospective cohort study using population-based notification records of residents in Kyoto City (1.4 M) with laboratory-confirmed COVID-19 infection between 1 March 2020 and 15 April 2022. Reinfection was defined by two or more positive COVID-19 test results ≧ 90 days apart. Demographic characteristics, the route and timing of infection and history of vaccination were analysed to identify risk factors for reinfection. Among the cohort of 107,475 patients, reinfection was identified in 0.66% (n = 709). The age group with the highest reinfection rate was 18–39 years (1.06%), followed by 40–59 years (0.58%). Compared to the medical and nursing professionals, individuals who worked in the construction and manufacturing industry (odds ratio [OR]: 2.86; 95% confidence interval [CI]: 1.66–4.92) and hospitality industry (OR: 2.05; 95% CI: 1.28–.31) were more likely to be reinfected. Symptomatic cases at initial infection, receiving more than 2 doses of vaccination and risk factors for severe infection at initial infection were protective factors against reinfection. Of the reinfected individuals, the reinfection route was unknown in 65%. Reinfection with COVID-19 is uncommon, with suspected reinfections more likely in adults, those with high exposure and unvaccinated individuals; the reinfection route was unknown in the majority of cases. This study confirmed the need to continue with self-protection efforts and to implement vaccination programs in high-risk populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10096-023-04625-6.
format Online
Article
Text
id pubmed-10241120
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-102411202023-06-06 Incidence of and risk factors for suspected COVID-19 reinfection in Kyoto City: a population-based epidemiological study Nagao, Miki Matsumura, Yasufumi Yamamoto, Masaki Shinohara, Koh Noguchi, Taro Yukawa, Satomi Tsuchido, Yasuhiro Teraishi, Haruma Inoue, Hiromi Ikeda, Takeshi Eur J Clin Microbiol Infect Dis Original Article To determine the clinical characteristics of and risk factors for suspected reinfection with coronavirus 2019 (COVID-19). This was a retrospective cohort study using population-based notification records of residents in Kyoto City (1.4 M) with laboratory-confirmed COVID-19 infection between 1 March 2020 and 15 April 2022. Reinfection was defined by two or more positive COVID-19 test results ≧ 90 days apart. Demographic characteristics, the route and timing of infection and history of vaccination were analysed to identify risk factors for reinfection. Among the cohort of 107,475 patients, reinfection was identified in 0.66% (n = 709). The age group with the highest reinfection rate was 18–39 years (1.06%), followed by 40–59 years (0.58%). Compared to the medical and nursing professionals, individuals who worked in the construction and manufacturing industry (odds ratio [OR]: 2.86; 95% confidence interval [CI]: 1.66–4.92) and hospitality industry (OR: 2.05; 95% CI: 1.28–.31) were more likely to be reinfected. Symptomatic cases at initial infection, receiving more than 2 doses of vaccination and risk factors for severe infection at initial infection were protective factors against reinfection. Of the reinfected individuals, the reinfection route was unknown in 65%. Reinfection with COVID-19 is uncommon, with suspected reinfections more likely in adults, those with high exposure and unvaccinated individuals; the reinfection route was unknown in the majority of cases. This study confirmed the need to continue with self-protection efforts and to implement vaccination programs in high-risk populations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10096-023-04625-6. Springer Berlin Heidelberg 2023-06-05 /pmc/articles/PMC10241120/ /pubmed/37273038 http://dx.doi.org/10.1007/s10096-023-04625-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Nagao, Miki
Matsumura, Yasufumi
Yamamoto, Masaki
Shinohara, Koh
Noguchi, Taro
Yukawa, Satomi
Tsuchido, Yasuhiro
Teraishi, Haruma
Inoue, Hiromi
Ikeda, Takeshi
Incidence of and risk factors for suspected COVID-19 reinfection in Kyoto City: a population-based epidemiological study
title Incidence of and risk factors for suspected COVID-19 reinfection in Kyoto City: a population-based epidemiological study
title_full Incidence of and risk factors for suspected COVID-19 reinfection in Kyoto City: a population-based epidemiological study
title_fullStr Incidence of and risk factors for suspected COVID-19 reinfection in Kyoto City: a population-based epidemiological study
title_full_unstemmed Incidence of and risk factors for suspected COVID-19 reinfection in Kyoto City: a population-based epidemiological study
title_short Incidence of and risk factors for suspected COVID-19 reinfection in Kyoto City: a population-based epidemiological study
title_sort incidence of and risk factors for suspected covid-19 reinfection in kyoto city: a population-based epidemiological study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241120/
https://www.ncbi.nlm.nih.gov/pubmed/37273038
http://dx.doi.org/10.1007/s10096-023-04625-6
work_keys_str_mv AT nagaomiki incidenceofandriskfactorsforsuspectedcovid19reinfectioninkyotocityapopulationbasedepidemiologicalstudy
AT matsumurayasufumi incidenceofandriskfactorsforsuspectedcovid19reinfectioninkyotocityapopulationbasedepidemiologicalstudy
AT yamamotomasaki incidenceofandriskfactorsforsuspectedcovid19reinfectioninkyotocityapopulationbasedepidemiologicalstudy
AT shinoharakoh incidenceofandriskfactorsforsuspectedcovid19reinfectioninkyotocityapopulationbasedepidemiologicalstudy
AT noguchitaro incidenceofandriskfactorsforsuspectedcovid19reinfectioninkyotocityapopulationbasedepidemiologicalstudy
AT yukawasatomi incidenceofandriskfactorsforsuspectedcovid19reinfectioninkyotocityapopulationbasedepidemiologicalstudy
AT tsuchidoyasuhiro incidenceofandriskfactorsforsuspectedcovid19reinfectioninkyotocityapopulationbasedepidemiologicalstudy
AT teraishiharuma incidenceofandriskfactorsforsuspectedcovid19reinfectioninkyotocityapopulationbasedepidemiologicalstudy
AT inouehiromi incidenceofandriskfactorsforsuspectedcovid19reinfectioninkyotocityapopulationbasedepidemiologicalstudy
AT ikedatakeshi incidenceofandriskfactorsforsuspectedcovid19reinfectioninkyotocityapopulationbasedepidemiologicalstudy