Utilizing Whole Genome Sequencing to Investigate a COVID-19 Cluster Among Healthcare Workers in a Tertiary Care Facility in the Philippines: Insights and Implications for Infection Prevention and Control.
case_series · Level IV
Where this comes from
- Record sourced from PubMed, PMID 40590532.
- Also identified by DOI 10.1093/cid/ciaf057 and PMC identifier 12272845.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has highlighted the importance of genomic surveillance and whole genome sequencing (WGS) for identifying mutations and supporting epidemiologic investigations. Healthcare workers (HCWs) face unique risks for COVID-19, potentially amplifying outbreaks within healthcare facilities (HCFs). This report details the use of WGS to retrospectively investigate a COVID-19 cluster among HCWs in a tertiary care HCF in the Philippines. Epidemiologic investigation was conducted by the HCF infection prevention and control (IPC) staff. The Global Action in Healthcare Network (GAIHN) COVID-19 variant characterization project retrospectively conducted WGS on selected HCW and inpatient respiratory specimens associated with the cluster with reverse-transcription polymerase chain reaction cycle threshold ≤32. Phylogenetic analyses were conducted using Nextstrain. Subclusters were defined by shared severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage and epidemiologic data. Investigation by IPC staff identified 19 HCWs with COVID-19 diagnosed during 2-9 September 2022 from a single nursing unit. Specimens for WGS were collected from 8 of these HCWs and from 43 additional HCF staff and inpatients with COVID-19 diagnosed from 1 August through 30 September 2022. Phylogenetic analyses identified 12 unique SARS-CoV-2 lineages and 2 subclusters: subcluster A (BA.5.2 lineage, n = 6) and subcluster B (BA.5.10.1 lineage, n = 7). Pairwise substitution-by-site analyses, combined with epidemiological data, provided support for multiple potential transmission events. WGS identified SARS-CoV-2 subclusters associated with high-risk exposure settings among HCWs in a tertiary care facility, providing essential insights into transmission pathways and demonstrating its potential to guide targeted IPC interventions and improve outbreak response strategies.
Medical subject headings
- COVID-19
- Health Personnel
- Whole Genome Sequencing
- SARS-CoV-2