Evidence map›Paper›PMID 38539124›Full record

ArticleBMC infectious diseases2024

The symptoms and interval of Omicron SARS-CoV-2 reinfection among healthcare workers in a hospital of Southern China: a cross-sectional study.

Xiaoju Ma, Zheng Wang, Youpeng Chen, Zhanjie Li

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Xiaoju Ma *Department of Hospital Acquired Infection Control and Public Health Management, The Seventh Affiliated Hospital, Sun Yat-sen University, No.628 Zhenyuan Road, 518107, Shenzhen, Guangdong, China.
Zheng Wang *Department of Hospital Acquired Infection Control and Public Health Management, The Seventh Affiliated Hospital, Sun Yat-sen University, No.628 Zhenyuan Road, 518107, Shenzhen, Guangdong, China.
Youpeng ChenDepartment of Hospital Acquired Infection Control and Public Health Management, The Seventh Affiliated Hospital, Sun Yat-sen University, No.628 Zhenyuan Road, 518107, Shenzhen, Guangdong, China. chenyoupeng@sysush.com.
Zhanjie LiDepartment of Infection Control, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, 210029, Nanjing, Jiangsu, China. lzj070591@163.com.
Sun Yat-sen University · CNNanjing Medical University · CNThe Seventh Affiliated Hospital of Sun Yat-sen University · CN

Funding

Jiangsu Province Hospital Management Innovation Research Project JSYGY-3-2023-559Jiangsu Provincial Association for Science and Technology Young Science and Technology Talent Support Project (Health Field) JSTJ-2023-WJ006Jiangsu Science and Technology Think Tank Program (Youth) Project JSKX24055Project of Chinese Hospital Reform and Development Institute, Nanjing University NDYG2023039the third Outstanding Young and Middle-aged Talents Training Program of Jiangsu Provincial People's Hospital YNRCQN0314Young Scholars Fostering Fund of the First Affiliated Hospital of Nanjing Medical University PY2022017
6 · The paper itself

Abstract

backgroundThe prevalence and distinction between first Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and reinfection with the Omicron variant among healthcare workers (HCWs) remain unclear.

methodsA cross-sectional study was conducted at a hospital in Southern China. The study included 262 HCWs who were infected with SARS-CoV-2 between April and June 2023, with 101 cases of first infection and 161 ones of reinfection. Student's t-test, Analysis of Variance (ANOVA), and Mann-Whitney U tests were used based on the distribution of quantitative variables. Pearson's chi-square and Fisher's exact tests were used based on the expected frequencies of categorical variables.

resultsThe reinfection rate among HCWs was 11.5% (161/1406). The majority of the infected HCWs were female (212/262, 80.9%, first infection vs. reinfection: 76.2% vs. 83.9%). The nursing staff, had the highest percentage of SARS-CoV-2 infection (42.0%), especially of its reinfection (47.8%). Out of the 262 infected individuals, 257 had received SARS-CoV-2 vaccination, primarily inactivated vaccines (243/257, 91.1%). The first infection group, which received four doses (24, 23.8%), was significantly higher than that in the reinfection group (6, 3.7%) (P < 0.001). The proportion of asymptomatic infections among HCWs in the two groups was 1.0% and 1.2%. The main symptoms during the first infection and reinfection were fever (83.2% and 50.9%) and sore throat (78.2% and 77.0%). There were significant differences in the prevalence of fever (83.2% vs. 50.9%), rhinorrhea (45.5% vs. 60.9%) and myalgia (56.4% vs. 37.9%) between the first infection and reinfection (P < 0.05). The average interval for SARS-CoV-2 reinfection was 149.9 (range: 114-182, SD = 11.9) days. Notably, physicians had the shortest average interval of 142.8 (8.8) days, while management and administrative staff had the longest average interval of 153.8 (13.5) days.

conclusionsAlthough the symptoms of HCWs during reinfection with SARS-CoV-2 were milder, the high reinfection rate and short interval between infections indicate the need to enhance monitoring and protective measures for HCWs during the epidemic.

Indexed as

COVID-19SARS-CoV-2COVID-19 VaccinesCross-Sectional StudiesFemaleFeverHealth PersonnelHospitalsHumansMaleReinfectionCOVID-19 VaccinesCOVID-19Healthcare workersOmicronReinfectionSARS-CoV-2 infection

Identifiers

PMID38539124
PMCPMC10967136
OpenAlexW4393247276

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.