Evidence map›Paper›PMID 39415154›Full record

ArticleBMC public health2024

Occupational differences in SARS-CoV-2 infection: the Japan COVID-19 and Society Internet Survey (JACSIS) study in 2022.

Ayane Sato, Hirokazu Tanaka, Takahiro Tabuchi, Kota Katanoda

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ayane SatoFaculty of Medicine, Mie University, 1577 Kurimamachiya-cho, Tsu City, Mie, 514-8507, Japan.
Hirokazu TanakaDivision of Population Data Science, National Cancer Center Institute for Cancer Control, 5-1-1, Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan. hitanak@ncc.go.jp.
Takahiro TabuchiDivision of Epidemiology, School of Public Health, Graduate School of Medicine, Tohoku University, 2-1, Seiryomachi, Aoba-ku, Sendai City, Miyagi, 980-0872, Japan.
Kota KatanodaDivision of Population Data Science, National Cancer Center Institute for Cancer Control, 5-1-1, Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the coronavirus disease (COVID-19) pandemic, essential workers (e.g. medical workers) may be at a high prevalence of contracting COVID-19; however, the trend remains unclear in Japan. This study aimed to investigate occupational differences in the prevalence of COVID-19.

methodsData were retrieved from the 2022 Japan COVID-19 and Society Internet Survey. We analyzed the self-reported SARS-CoV-2 infection as of October 2022. We included 21,875 participants aged 20-64 years. Participants were classified into five occupation groups ("medical workers," "off-site medical workers," "care workers," "other essential workers", and "non-essential workers"), as well as those unemployed. The prevalence ratio of COVID-19 was computed using Poisson regression. We included sex, age, SARS-CoV-2 vaccination history, number of households, education level, and residential area as covariates. Additionally, we performed similar analyses for three time periods: (1) August-September 2022, (2) October 2021 to July 2022, and (3) before September 2021.

resultsThe overall cumulative prevalence of COVID-19, as of October 2022, was 16.5%. Regarding occupation, medical workers had a higher prevalence than non-essential workers (23.5% vs 16.2% (difference: 7.2% point [95% confidence interval (CI): 4.2-10.2])). Similar results were observed among care workers compared with non-essential workers (22.1% vs 16.2% (difference: 5.9% point [95% CI: 2.5%-9.3%])). Other essential workers had a similar prevalence to non-essential workers (17.6% vs 16.2% (difference: 1.4% point [95% CI: -0.1%-2.8%]). In relative terms, medical workers and care workers were associated with an increased prevalence of COVID-19 (prevalence ratio: 1.44 [95% CI: 1.20-1.73] and 1.36 [95% CI: 1.11-1.66], respectively). In addition, we found that younger age, living in endemic region (e.g., Tokyo and Osaka), and living with more than four people contributed to the higher prevalence. According to the time period, the prevalence was significantly higher in medical and care workers than in non-essential workers only during August-September 2022, which corresponded to the severest outbreak period in Japan.

conclusionsIn Japan, medical and care workers had a higher prevalence of contracting COVID-19 compared to non-essential workers. However, this trend emerged during the peak of the COVID-19 spreading in the summer of 2022.

Indexed as

COVID-19OccupationsAdultFemaleHealth PersonnelHumansInternetJapanMaleMiddle AgedPrevalenceSARS-CoV-2Surveys and QuestionnairesYoung AdultCoronavirus diseaseEssential workersOccupational differencesSocioeconomic statusVaccination history

Identifiers

PMID39415154
PMCPMC11481273

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LicenceCC BY-NC-ND
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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.