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...
Autores principales: | , , , , , , , , , |
---|---|
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 |