Evidence map›Paper›PMID 39800813›Full record

SynthesisOccupational medicine (Oxford, England)2025

Prevalence and symptoms of Long Covid-19 in the workplace.

H Mohd Yusoff, S Q Yew, A Mohammed Nawi, O Htwe, N Mohd Tohit, Z Mohamed, M A Muhamad Noordin, N Che Mohamed, F H Mohd

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Occupational medicine (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Patients seeking occupational health advice before and after COVID-19.Occupational medicine (Oxford, England) · 2026
    Article
  3. 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

9 authors.

H Mohd YusoffDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000 Kuala Lumpur, Malaysia.
S Q YewDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000 Kuala Lumpur, Malaysia.
A Mohammed NawiDepartment of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000 Kuala Lumpur, Malaysia.
O HtweDepartment of Orthopaedics and Traumatology, Faculty of Medicine, Universiti Sultan Zainal Abidin, Gong Badak, 21300 Kuala Nerus, Terengganu, Malaysia.
N Mohd TohitDepartment of Family Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Cheras, 56000 Kuala Lumpur, Malaysia.
Z MohamedNegeri Sembilan State Health Department, Jalan Rasah, Negeri Sembilan, 70300 Seremban, Malaysia.
M A Muhamad NoordinResearch Management Center, Research and Development Department, National Institute of Occupational Safety and Health, 43650 Bandar Baru Bangi, Selangor, Malaysia.
N Che MohamedProject Management, UKM Pakarunding, Level 3, Bangunan Wawasan, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.
F H MohdProject Management, UKM Pakarunding, Level 3, Bangunan Wawasan, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia.

Funding

National Institute of Occupational Safety and Health (NIOSH) Malaysia UKMP-S230424
6 · The paper itself

Abstract

backgroundThe symptoms of Long coronavirus disease 2019 (Covid-19) are heterogeneous, creating uncertainty for employers regarding the diagnosis. The prevalence of Long Covid-19 in the workforce is also unknown. Furthermore, workers affected by Long Covid-19 encounter considerable difficulties in ensuring work safety and returning to their jobs due to this condition.

aimsThis review is aimed to identify the prevalence of Long Covid-19 in the workplace and to determine the various symptoms of Long Covid-19 experienced by the workers.

methodsA meta-analysis was conducted to calculate the pooled estimates for the prevalence of Long Covid-19. Heterogeneity among the estimates was evaluated using the I² statistic.

resultsThe pooled prevalence of Long Covid-19 among workers across the 11 studies was 38% (95% CI 23-56). A total of 43 symptoms associated with Long Covid-19 were identified in the workplace, with the top five symptoms being dyspnoea at moderate activity (51%, 95% CI 39-62), mental symptoms (38%, 95% CI 6-87), dyspnoea at mild activity (35%, 95% CI 25-47), fatigue (26%, 95% CI 3-78) and effort intolerance (24%, 95% CI 15-35).

conclusionsThe review indicates a significant burden of long-lasting symptoms within the workforce. The top five reported symptoms of Long Covid-19 were dyspnoea during mild and moderate activities, mental symptoms, fatigue and effort intolerance.

Indexed as

COVID-19WorkplaceDyspneaFatigueHumansMalePost-Acute COVID-19 SyndromePrevalenceSARS-CoV-2

Identifiers

PMID39800813
PMCPMC11973416

What OpenQuestion 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 OpenQuestion graph.