Analysis of re-infection cases and influencing factors post first severe COVID-19 wave in Jiangsu Province, China
Introduction: This study aimed to assess COVID-19 re-infection rates among individuals previously infected between 2020 and November 2022, particularly during the first wave of high-intensity transmission, and to identify the risk factors associated with re-infection in Jiangsu Province, China. M...
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The Journal of Infection in Developing Countries
2024-09-01
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| Series: | Journal of Infection in Developing Countries |
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| Online Access: | https://jidc.org/index.php/journal/article/view/20031 |
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| author | Qigang Dai Changjun Bao Hao Ju Na Li Shizhi Wang Jiaxin Wen Qiang Zhou Liling Chen Yujun Chen Lei Xu Xin Zhou Songning Ding Jianli Hu Fengcai Zhu |
| author_facet | Qigang Dai Changjun Bao Hao Ju Na Li Shizhi Wang Jiaxin Wen Qiang Zhou Liling Chen Yujun Chen Lei Xu Xin Zhou Songning Ding Jianli Hu Fengcai Zhu |
| author_sort | Qigang Dai |
| collection | DOAJ |
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Introduction: This study aimed to assess COVID-19 re-infection rates among individuals previously infected between 2020 and November 2022, particularly during the first wave of high-intensity transmission, and to identify the risk factors associated with re-infection in Jiangsu Province, China.
Methodology: Epidemiological investigations were conducted through telephone interviews and face-to-face visits in February and March 2023. Statistical analyses included the Chi-square or Fisher`s exact test for categorical data, Student’s t-test for numerical data, Poisson regression for influencing factors, and Kaplan–Meier for cumulative re-infection risk.
Results: Among 12,910 individuals surveyed, 957 (7.4%) cases of re-infection were identified. Re-infection rates varied significantly by initial infection period: 42.5% in January–February 2020, 15.5% in July–August 2021, 6.7% in March–April 2022, and 1.1% in September–October 2022. Females and individuals aged 18–50 years were more susceptible to re-infection. A reduced risk of re-infection was observed in those who received four vaccine doses, with a relative risk of 0.25 (p = 0.019).
Conclusions: For populations prone to COVID-19 re-infections, particularly females and young adults aged 18–50 years, receiving four or more vaccine doses effectively reduces the likelihood of repeated infections. These findings emphasize the need to prioritize vaccination and protect high-risk groups in COVID-19 prevention efforts.
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| format | Article |
| id | doaj-art-245d1cfb32b94fd4a2b67e8f69f3c21b |
| institution | OA Journals |
| issn | 1972-2680 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | The Journal of Infection in Developing Countries |
| record_format | Article |
| series | Journal of Infection in Developing Countries |
| spelling | doaj-art-245d1cfb32b94fd4a2b67e8f69f3c21b2025-08-20T02:14:07ZengThe Journal of Infection in Developing CountriesJournal of Infection in Developing Countries1972-26802024-09-011809.110.3855/jidc.20031Analysis of re-infection cases and influencing factors post first severe COVID-19 wave in Jiangsu Province, ChinaQigang Dai0Changjun Bao1Hao Ju2Na Li3Shizhi Wang4Jiaxin Wen5Qiang Zhou6Liling Chen7Yujun Chen8Lei Xu9Xin Zhou10Songning Ding11Jianli Hu12Fengcai Zhu13Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, ChinaJiangsu Provincial Center for Disease Control and Prevention, Nanjing, ChinaJiangsu Provincial Center for Disease Control and Prevention, Nanjing, ChinaXuzhou Center for Disease Control and Prevention, Xuzhou, ChinaSchool of Public Health, Southeast University, Nanjing, ChinaGusu district Center for Disease Control and Prevention, Suzhou, ChinaXuzhou Center for Disease Control and Prevention, Xuzhou, ChinaSuzhou Center for Disease Control and Prevention, Suzhou, ChinaWuxi Center for Disease Control and Prevention, Wuxi, ChinaLianyungang Center for Disease Control and Prevention, Lianyungang, ChinaYangzhou Center for Disease Control and Prevention, Yangzhou, ChinaNanjing Center for Disease Control and Prevention, Nanjing, ChinaJiangsu Provincial Center for Disease Control and Prevention, Nanjing, ChinaJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China Introduction: This study aimed to assess COVID-19 re-infection rates among individuals previously infected between 2020 and November 2022, particularly during the first wave of high-intensity transmission, and to identify the risk factors associated with re-infection in Jiangsu Province, China. Methodology: Epidemiological investigations were conducted through telephone interviews and face-to-face visits in February and March 2023. Statistical analyses included the Chi-square or Fisher`s exact test for categorical data, Student’s t-test for numerical data, Poisson regression for influencing factors, and Kaplan–Meier for cumulative re-infection risk. Results: Among 12,910 individuals surveyed, 957 (7.4%) cases of re-infection were identified. Re-infection rates varied significantly by initial infection period: 42.5% in January–February 2020, 15.5% in July–August 2021, 6.7% in March–April 2022, and 1.1% in September–October 2022. Females and individuals aged 18–50 years were more susceptible to re-infection. A reduced risk of re-infection was observed in those who received four vaccine doses, with a relative risk of 0.25 (p = 0.019). Conclusions: For populations prone to COVID-19 re-infections, particularly females and young adults aged 18–50 years, receiving four or more vaccine doses effectively reduces the likelihood of repeated infections. These findings emphasize the need to prioritize vaccination and protect high-risk groups in COVID-19 prevention efforts. https://jidc.org/index.php/journal/article/view/20031COVID-19re-infectioninfluencing re-infection factorson-site epidemiological investigation |
| spellingShingle | Qigang Dai Changjun Bao Hao Ju Na Li Shizhi Wang Jiaxin Wen Qiang Zhou Liling Chen Yujun Chen Lei Xu Xin Zhou Songning Ding Jianli Hu Fengcai Zhu Analysis of re-infection cases and influencing factors post first severe COVID-19 wave in Jiangsu Province, China Journal of Infection in Developing Countries COVID-19 re-infection influencing re-infection factors on-site epidemiological investigation |
| title | Analysis of re-infection cases and influencing factors post first severe COVID-19 wave in Jiangsu Province, China |
| title_full | Analysis of re-infection cases and influencing factors post first severe COVID-19 wave in Jiangsu Province, China |
| title_fullStr | Analysis of re-infection cases and influencing factors post first severe COVID-19 wave in Jiangsu Province, China |
| title_full_unstemmed | Analysis of re-infection cases and influencing factors post first severe COVID-19 wave in Jiangsu Province, China |
| title_short | Analysis of re-infection cases and influencing factors post first severe COVID-19 wave in Jiangsu Province, China |
| title_sort | analysis of re infection cases and influencing factors post first severe covid 19 wave in jiangsu province china |
| topic | COVID-19 re-infection influencing re-infection factors on-site epidemiological investigation |
| url | https://jidc.org/index.php/journal/article/view/20031 |
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