Evidence map›Paper›PMID 40529692›Full record

ArticleFrontiers in public health2025

Analysis of COVID-19 reinfection and its influencing factors among primary healthcare workers in Jiangsu Province: a study based on the omicron variant epidemic.

Mingwang Fu, Hualing Chen, Yongkang Qian, Yongjie Zhang, Haijian Guo, Ya Shen, Biyun Xu, Wantong Han, Haoran Zhou, Jinshui Xu and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Mingwang FuDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Hualing ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Yongkang QianDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Yongjie ZhangJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Haijian GuoJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Ya ShenJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Biyun XuMedical Statistics and Analysis Center, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China.
Wantong HanDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Haoran ZhouDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.
Jinshui XuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Bingwei ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Southeast University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 h 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). Conclusion: 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 h 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.

Indexed as

COVID-19Health PersonnelPrimary Health CareReinfectionAdultChinaFemaleHumansMaleMiddle AgedRisk FactorsSARS-CoV-2Surveys and QuestionnairesCOVID-19COVID-19 reinfectionomicron variantprimary healthcare workersSARS-CoV-2

Identifiers

PMID40529692
PMCPMC12171365

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.