Evidence map›Paper›PMID 36662835›Full record

ArticlePloS one2023

Assessment of potential risk factors for COVID-19 among health care workers in a health care setting in Delhi, India -a cohort study.

Mridu Dudeja, Aqsa Shaikh, Farzana Islam, Yasir Alvi, Mohammad Ahmad, Varun Kashyap, Vishal Singh, Anisur Rahman, Meely Panda, Neetu Shree and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

12 authors at 4 institutions in 1 country.

Mridu DudejaDepartment of Microbiology, Hamdard Institute of Medical Sciences and Research, New Delhi, India.
Aqsa ShaikhDepartment of Community Medicine, Hamdard Institute of Medical Sciences and Research, New Delhi, India.
Farzana IslamDepartment of Community Medicine, Hamdard Institute of Medical Sciences and Research, New Delhi, India.
Yasir AlviDepartment of Community Medicine, Hamdard Institute of Medical Sciences and Research, New Delhi, India.ORCID 0000-0002-8601-4440
Mohammad AhmadWorld Health Organization, Country Office, New Delhi, India.
Varun KashyapDepartment of Community Medicine, Hamdard Institute of Medical Sciences and Research, New Delhi, India.
Vishal SinghZonal AEFI Coordinator, Ministry of Health and Family Welfare, Government of India, New Delhi, India.ORCID 0000-0003-2028-4939
Anisur RahmanWorld Health Organization, Country Office, New Delhi, India.
Meely PandaDepartment of Community and Family Medicine, All India Institute of Medical Science, Telangana, India.
Neetu ShreeDepartment of Microbiology, Hamdard Institute of Medical Sciences and Research, New Delhi, India.
Shyamasree NandyDepartment of Community Medicine, Hamdard Institute of Medical Sciences and Research, New Delhi, India.
Vineet JainDepartment of Medicine, Hamdard Institute of Medical Sciences and Research, New Delhi, India.
Jamia Hamdard · INWorld Health Organization - India · INAll India Institute of Medical Sciences · INGovernment of India · IN

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionHealthcare workers (HCW) are most vulnerable to contracting COVID-19 infection. Understanding the extent of human-to-human transmission of the COVID-19 infection among HCWs is critical in managing this infection and for policy making. We did this study to estimate new infection by seroconversion among HCWs in recent contact with COVID-19 and predict the risk factors for infection.

methodsA cohort study was conducted at a tertiary care COVID-19 hospital in New Delhi during the first and second waves of the COVID-19 pandemic. All HCWs working in the hospital during the study period who came in recent contact with the patients were our study population. The data was collected by a detailed face-to-face interview, serological assessment for anti- COVID-19 antibodies at baseline and end line, and daily symptoms. Potential risk factors for seroprevalence and seroconversion were analyzed by logistic regression keeping the significance at p<0.05.

resultsA total of 192 HCWs were recruited in this study, out of which 119 (62.0%) were seropositive. Almost all were wearing Personal protective equipment (PPE) and following Infection prevention and control (IPC) measures during their recent contact with a COVID-19 patient. Seroconversion was observed among 36.7% of HCWs, while 64.0% had a serial rise in the titer of antibodies during the follow-up period. Seropositivity was negatively associated with being a doctor (odds ratio [OR] 0.35, 95% Confidence Interval [CI] 0.18-0.71), having COVID-19 symptoms (OR 0.21, 95% CI 0.05-0.82), having comorbidities (OR 0.14, 95% CI 0.03-0.67), and received IPC training (OR 0.25, 95% CI 0.07-0.86), while positively associated with partial (OR 3.30, 95% CI 1.26-8.69), as well as complete vaccination for COVID-19 (OR 2.43, 95% CI 1.12-5.27). Seroconversion was positively associated with doctor as a profession (OR 13.04, 95% CI 3.39-50.25) and with partially (OR 4.35, 95% CI 1.07-17.65), as well as fully vaccinated for COVID-19 (OR 6.08, 95% CI 1.73-21.4). No significant association was observed between adherence to any IPC measures and PPE adopted by the HCW during the recent contact with COVID-19 patients and seroconversion.

conclusionAlmost all the HCW practiced IPC measures in these settings. High seropositivity and seroconversion are most likely due to concurrent vaccination against COVID-19 rather than recent exposure to COVID-19 patients. Further studies using anti-N antibodies serology may help us find the reason for the seropositivity and seroconversion among HCWs.

Indexed as

COVID-19Cohort StudiesDelivery of Health CareHealth PersonnelHumansIndiaPandemicsRisk FactorsSARS-CoV-2Seroepidemiologic Studies

Identifiers

PMID36662835
PMCPMC9858779
OpenAlexW4317553497

What OpenQuestion 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 OpenQuestion graph.