Effectiveness of BNT162b2 and ChAdOx1 Vaccines against Symptomatic COVID-19 among Healthcare Workers in Kuwait: A Retrospective Cohort Study.

Middle East coronavirus disease healthcare professionals infectious diseases public health vaccine effectiveness

Journal

Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525

Informations de publication

Date de publication:
07 Dec 2021
Historique:
received: 23 10 2021
revised: 28 11 2021
accepted: 03 12 2021
entrez: 24 12 2021
pubmed: 25 12 2021
medline: 25 12 2021
Statut: epublish

Résumé

Estimating vaccine effectiveness (VE) against severe, acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among healthcare workers (HCWs) is necessary to demonstrate protection from the disease. Between 24 December 2020 and 15 June 2021, we determined the factors associated with vaccine coverage and estimated VE against SARS-CoV-2 infection in HCWs at a secondary hospital in Kuwait. We extracted sociodemographic, occupational, SARS-CoV-2 infection, and vaccination data for eligible HCWs from the hospital records. Vaccine coverage percentages were cross-tabulated with the HCW factors. Cox regression was used to estimate hazard ratios in vaccinated versus unvaccinated. 3246 HCWs were included in the analysis, of which 82.1% received at least one vaccine dose (50.4% only one dose of ChAdOx1, 3.3% only one dose of BNT162b2, and 28.3% two doses of BNT162b2). However, 17.9% of HCWs were unvaccinated. A significantly lower vaccination coverage was reported amongst female HCWs, younger age group (20-30 years), and administrative/executive staff. The adjusted VE of fully vaccinated HCWs was 94.5% (95% CI = 89.4-97.2%), while it was 75.4% (95% CI = 67.2-81.6%) and 91.4% (95% CI = 65.1-97.9%) in partially vaccinated for ChAdOx1 and BNT162b2, respectively. BNT162b2 and ChAdOx1 vaccines prevented most symptomatic infections in HCWs across age groups, nationalities, and occupations.

Sections du résumé

BACKGROUND BACKGROUND
Estimating vaccine effectiveness (VE) against severe, acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among healthcare workers (HCWs) is necessary to demonstrate protection from the disease. Between 24 December 2020 and 15 June 2021, we determined the factors associated with vaccine coverage and estimated VE against SARS-CoV-2 infection in HCWs at a secondary hospital in Kuwait.
METHODS METHODS
We extracted sociodemographic, occupational, SARS-CoV-2 infection, and vaccination data for eligible HCWs from the hospital records. Vaccine coverage percentages were cross-tabulated with the HCW factors. Cox regression was used to estimate hazard ratios in vaccinated versus unvaccinated.
RESULTS RESULTS
3246 HCWs were included in the analysis, of which 82.1% received at least one vaccine dose (50.4% only one dose of ChAdOx1, 3.3% only one dose of BNT162b2, and 28.3% two doses of BNT162b2). However, 17.9% of HCWs were unvaccinated. A significantly lower vaccination coverage was reported amongst female HCWs, younger age group (20-30 years), and administrative/executive staff. The adjusted VE of fully vaccinated HCWs was 94.5% (95% CI = 89.4-97.2%), while it was 75.4% (95% CI = 67.2-81.6%) and 91.4% (95% CI = 65.1-97.9%) in partially vaccinated for ChAdOx1 and BNT162b2, respectively.
CONCLUSIONS CONCLUSIONS
BNT162b2 and ChAdOx1 vaccines prevented most symptomatic infections in HCWs across age groups, nationalities, and occupations.

Identifiants

pubmed: 34946418
pii: healthcare9121692
doi: 10.3390/healthcare9121692
pmc: PMC8701668
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Walid Q Alali (WQ)

Department of Epidemiology & Biostatistics, Faculty of Public Health, Kuwait University, Kuwait City 13060, Kuwait.

Lamiaa A Ali (LA)

Department of Public Health, Faculty of Medicine, Fayoum University, Fayoum 63514, Egypt.

Mohammad AlSeaidan (M)

Department of Public Health, Ministry of Health, Kuwait City 12009, Kuwait.

Mohammad Al-Rashidi (M)

Hospital Administration, Farwaniya Hospital, Kuwait City 85000, Kuwait.

Classifications MeSH