Evidence map›Paper›PMID 39732854›Full record

ArticleScientific reports2024

Profession and role-based analysis of occupational exposure for COVID-19 among frontline healthcare workers in the pandemic: a risk assessment study.

Habib Jalilian, Parvin Mohammadi, Ahmad Moradi, Maryam Nikbina, Amrollah Sayfouri, Anita Namdari Birgani, Nayeb Fadaei Dehcheshmeh

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. 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

7 authors.

Habib JalilianDepartment of Health Services Management, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Parvin MohammadiDepartment of Midwifery, School of Nursing and Midwifery, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Ahmad MoradiDepartment of Public Health, Shoushtar faculty of Medical Sciences, Shoushtar, Iran.
Maryam NikbinaDepartment of Midwifery, Shoushtar faculty of Medical Sciences, Shoushtar, Iran.
Amrollah SayfouriDepartment of Health Services Management, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Anita Namdari BirganiDepartment of Masjedsoleyman Health Network, Deputy of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Nayeb Fadaei DehcheshmehDepartment of Public Health, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran. fadaei-n@shoushtarums.ac.ir.ORCID 0000-0003-2290-2833

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare workers are exposed to a high risk of COVID-19 infection due to close contact with infected patients in healthcare centers. This study aimed to investigate the level of exposure and risk of COVID-19 virus infection among healthcare workers working in primary healthcare centers in Khuzestan province, Iran. This cross-sectional study was conducted among 599 healthcare workers working in primary healthcare centers in the northern region of Khuzestan province, Iran, in 2022. Participants were recruited using a multistage and proportional stratified random sampling method. The WHO COVID-19 risk assessment tool was used to collect data. Data were analyzed using STATA

Indexed as

COVID-19Health PersonnelOccupational ExposureAdultCross-Sectional StudiesFemaleHumansIranMaleMiddle AgedPandemicsPrevalencePrimary Health CareRisk AssessmentSARS-CoV-2COVID-19Infection prevention and controlOccupational exposurePrimary healthcare professionalsRisk assessment

Identifiers

PMID39732854
PMCPMC11682111

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.