Evidence map›Paper›PMID 42428926›Full record

ArticleFrontiers in public health2026

COVID-19 symptom duration: evidence from a survey of infected workers in Tokyo.

Asako Chiba, Taisuke Nakata, Naohisa Shobako, Reo Takaku

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Asako ChibaDepartment of Economics, Keio University, Minato-ku, Tokyo, Japan.
Taisuke NakataGraduate School of Economics, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Naohisa ShobakoGraduate School of Agriculture, Kyoto University, Sakyo-ku, Kyoto, Japan.
Reo TakakuGraduate School of Economics, Hitotsubashi University, Kunitachi, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The prevalence and duration of symptoms following COVID-19 infection vary substantially across individuals. However, little is known about the relationship between workers' job characteristics and the persistence of post-COVID symptoms. This study investigated the prevalence and duration of symptoms following COVID-19 infection and examined their associations with occupational characteristics. Methods: We conducted a large-scale retrospective survey of infected workers in February 2023. The survey collected information on symptom duration, job characteristics, and individual demographic, health, and socio-economic characteristics. We estimated adjusted odds ratios for prolonged symptoms using a three-month threshold while controlling for potential confounding factors. A sensitivity analysis was conducted using a one-month symptom-duration threshold. Results: Most infected workers experienced symptoms for less than one month. However, approximately 5% reported symptoms lasting three months or longer. Part-time workers had higher adjusted odds of experiencing symptoms for three months or more. Service workers, managers, and transportation workers tended to have lower odds of prolonged symptoms. However, the associations observed for occupational groups were not robust in the sensitivity analysis using a one-month threshold. Discussion: The findings suggest that the persistence of symptoms following COVID-19 infection varies across employment types and occupations. In particular, part-time workers may be at greater risk of long-lasting symptoms.

Indexed as

COVID-19OccupationsAdultEmploymentFemaleFrontline WorkersHumansMaleMiddle AgedPost-Acute COVID-19 SyndromePrevalenceRetrospective StudiesSARS-CoV-2Surveys and QuestionnairesTime FactorsTokyoattributesCOVID-19duration (time)prevalencesymptoms

Identifiers

PMID42428926
PMCPMC13346185

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.