ORIGINAL RESEARCH article

Front. Public Health

Sec. Infectious Diseases: Epidemiology and Prevention

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1521658

This article is part of the Research TopicEmerging concepts for respiratory viruses after the pandemicView all 9 articles

Analysis of COVID-19 Reinfection and Its Influencing Factors Among Primary Healthcare Workers in Jiangsu Province: A Study Based on the Omicron Variant Epidemic

Provisionally accepted
  • 1Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu Province, China
  • 2Jiangsu Provincial Center for Disease Control And Prevention, Nanjing, Jiangsu Province, China
  • 3Medical Statistics and Analysis Center, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, Liaoning Province, China
  • 4MoE Key Laboratory of Environmental Medicine Engineering, School of Public Health, Southeast University, Nanjing, Jiangsu Province, China

The final, formatted version of the article will be published soon.

Objectives. Since the global outbreak of SARS-CoV-2 in 2019, COVID-19 reinfection has become an increasing concern, particularly during the spread of the Omicron variant. Despite numerous international studies on COVID-19 reinfection, research focusing on healthcare workers, particularly those in primary care settings in mainland China, remains limited. This study aims to evaluate COVID-19 reinfection rates among primary healthcare workers (PHWs) in Jiangsu Province and to explore potential risk factors contributing to reinfection.Methods. This study utilized a combination of online questionnaires and on-site surveys to conduct two waves of investigation targeting PHWs after epidemic control policy adjustment in Jiangsu Province. Differences between the infection at the baseline visit and re-infection at the follow-up visit were analyzed, and multivariate logistic regression was used to assess the factors influencing reinfection.Results. A total of 5,541 PHWs were included in the study. At the baseline visit, the initial infection rate was 85.85% [95% confidence interval (CI): 84.93%-86.77%], and the self-reported reinfection rate was 40.05% (95% CI: 38.65%-41.44%). After adjustment, the reinfection rate was 29.41% (95% CI: 28.12%-30.71%). The median reinfection interval between the two infections was 146 days (Interquartile range: 129-164 days). Logistic regression model revealed that female sex [odds ratio (OR) = 1.376, 95% CI: 1.190-1.592], history of fever clinic work (OR = 1.179, 95% CI: 1.045- 1.330), working over 8 hours per day (OR = 1.178, 95% CI: 1.040-1.336), being a nurse (OR = 1.201, 95% CI: 1.029-1.402), and a "less meat, more vegetables" diet (OR = 1.206, 95% CI: 1.020-1.426) were significant risk factors for reinfection. Additionally, regular physical exercise was found to be a protective factor (OR = 0.861, 95% CI: 0.754-0.983).COVID-19 reinfection rates were relatively high among PHWs in Jiangsu Province, particularly among women, nurses, those with fever clinic experience and working over 8 hours per day. This study offers valuable insights for the prevention of COVID-19 reinfection and the development of protection strategies for PHWs. It is recommended that more targeted protective measures be implemented for high-risk groups, including appropriate work arrangements, regular health monitoring, and the promotion of healthy lifestyle habits.

Keywords: COVID-19, COVID-19 reinfection, SARS-CoV-2, Primary healthcare workers, Omicron variant

Received: 02 Nov 2024; Accepted: 19 May 2025.

Copyright: © 2025 Fu, Chen, Qian, Zhang, Guo, Shen, Xu, Han, Zhou, Xu and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Jinshui Xu, Jiangsu Provincial Center for Disease Control And Prevention, Nanjing, 210028, Jiangsu Province, China
Bingwei Chen, Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, Jiangsu Province, China

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