Surveillance and return to work of healthcare workers following SARS-CoV-2 Omicron variant infection, Sheffield, England, 17 January to 7 February 2022
Eurosurveillance·
- DOI
- 10.2807/1560-7917.es.2022.27.11.2200164
- PMID
- 35301977
- PMCID
- PMC8971920
- OpenAlex
- W4220669528
- Study type
- Journal article
- Publisher
- European Centre for Disease Control and Prevention (ECDC)
- Article type
- journal-article
- Integrity
- current
Why this research matters now
The findings support shortened isolation policies for healthcare workers infected with Omicron, potentially helping to maintain healthcare workforce capacity during periods of high transmission while minimizing workplace spread.
Structured evidence summary
Research question
The study evaluated whether shortened COVID-19 isolation periods allow healthcare workers infected with the SARS-CoV-2 Omicron variant to return to work safely while maintaining adequate staffing levels.
Study design
Surveillance study of healthcare workers following SARS-CoV-2 Omicron infection, conducted in Sheffield, England between 17 January and 7 February 2022.
Population and setting
240 healthcare workers at Sheffield Teaching Hospitals, England, who tested positive for SARS-CoV-2 Omicron variant during the study period.
Main findings
Among the healthcare workers studied, 55% could return to work before day 10 of isolation, with over 25% eligible for return by day 6, contingent on two consecutive negative antigen tests.
Public-health relevance
The findings support shortened isolation policies for healthcare workers infected with Omicron, potentially helping to maintain healthcare workforce capacity during periods of high transmission while minimizing workplace spread.
Important limitations
This summary relies on the supplied single-article abstract and metadata. Full assessment of study limitations, including sample representativeness, testing protocol details, and follow-up for secondary transmission, requires review of the complete published paper.
GIDS interpretation
This peer-reviewed journal article is discoverable through GIDS classifiers for COVID-19, SARS, outbreak investigation, surveillance, and transmission dynamics. It addresses a policy-relevant question about return-to-work protocols during the Omicron wave in a healthcare setting.
Related GIDS surveillance
Literature context does not validate, explain, or change a surveillance signal. Exact and contextual relationships are shown separately.
Evidence relationships
This article has 10 auditable classifier relationships to diseases, places, topics, and study design.