Evidence map›Paper›PMID 35714075›Full record

ArticlePloS one2022

COVID-19 cases among medical laboratory services staff in South Africa, 2020-2021: A cohort study.

Kerry Sidwell Wilson, Vusi Ntlebi, Felix Made, Natasha Sanabria, Melissa Vetten, Jitcy Joseph, Graham Chin, David Jones, Nonhlanhla Tlotleng

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
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  5. Protecting healthcare workers during a pandemic: what can a WHO collaborating centre research partnership contribute?Revista panamericana de salud publica = Pan American journal of public health · 2023
    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 at 1 institution in 1 country.

Kerry Sidwell WilsonEpidemiology and Surveillance Section, National Institute for Occupational Health, A Division of National Health Laboratory Service, Braamfontein, Johannesburg, South Africa.ORCID 0000-0002-7933-0031
Vusi NtlebiEpidemiology and Surveillance Section, National Institute for Occupational Health, A Division of National Health Laboratory Service, Braamfontein, Johannesburg, South Africa.
Felix MadeEpidemiology and Surveillance Section, National Institute for Occupational Health, A Division of National Health Laboratory Service, Braamfontein, Johannesburg, South Africa.
Natasha SanabriaToxicology and Biochemistry Department, National Institute for Occupational Health, A Division of National Health Laboratory Service, Braamfontein, South Africa.ORCID 0000-0002-1613-6178
Melissa VettenToxicology and Biochemistry Department, National Institute for Occupational Health, A Division of National Health Laboratory Service, Braamfontein, South Africa.
Jitcy JosephToxicology and Biochemistry Department, National Institute for Occupational Health, A Division of National Health Laboratory Service, Braamfontein, South Africa.
Graham ChinNational Safety Health and Environment Department, National Institute for Occupational Health, A Division of National Health Laboratory Services, Braamfontein, South Africa.
David JonesNational Safety Health and Environment Department, National Institute for Occupational Health, A Division of National Health Laboratory Services, Braamfontein, South Africa.
Nonhlanhla TlotlengEpidemiology and Surveillance Section, National Institute for Occupational Health, A Division of National Health Laboratory Service, Braamfontein, Johannesburg, South Africa.
National Health Laboratory Service · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical laboratory workers may have an increased risk of COVID-19 due to their interaction with biological samples received for testing and contamination of documents. Records of COVID-19 laboratory-confirmed positive cases within the medical laboratory service were routinely collected in the company's Occupational Health and Safety Information System (OHASIS). Surveillance data from the OHASIS system were extracted from 1 April 2020 to 31 March 2021. An epidemic curve was plotted and compared to that for the country, along with prevalence proportions and incidence rates. The odds of COVID-19 infection were categorised by job and compared to the US Occupational Risk Scores. A logistic regression model assessed the risk of COVID-19 infection per occupational group. A total of 2091 (26% of staff) COVID-19 positive cases were reported. The number of COVID-19 cases was higher in the first wave at 46% (967/2091) of cases, than in the second wave 40% (846/2091) of cases. There was no significant difference in COVID-19 prevalence between male and female employees. The job categories with the most increased risk were laboratory managers [AOR 3.2 (95%CI 1.9-5.1)] and laboratory support clerks [AOR 3.2 (95%CI 1.9-5.2)]. Our study confirms that some categories of medical laboratory staff are at increased risk for COVID-19; this is a complex interaction between workplace risk factors, community interaction, socioeconomic status, personal habits, and behaviour. Targeted interventions are recommended for high-risk groups. OHASIS has the potential to generate data for surveillance of health care workers and contribute towards a South African risk profile.

Indexed as

COVID-19Cohort StudiesFemaleHealth PersonnelHumansMaleSouth AfricaWorkplace

Identifiers

PMID35714075
PMCPMC9205487
OpenAlexW4283027571

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.