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Environmental sampling for SARS-CoV-2 in long term care facilities: lessons from a pilot study
Rachel Kwiatkowska1,2,3, Nicola Yaxley4, Ginny Moore4
1Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Wellcome Open Research
|February 26, 2024
Summary
Environmental surveillance detected SARS-CoV-2 RNA in long-term care facilities (LTCF), including elevated surfaces. This suggests potential for environmental sampling to aid infection prevention and control in these vulnerable settings.
Area of Science:
- Infection Prevention and Control
- Environmental Microbiology
- Epidemiology
Background:
- Long-term care facilities (LTCF) are high-risk settings for SARS-CoV-2 transmission.
- Residents of LTCF are particularly vulnerable to severe outcomes from infection.
- Environmental surveillance offers a potential strategy for early pathogen detection and informing control measures.
Purpose of the Study:
- To pilot environmental sampling for SARS-CoV-2 in LTCF during outbreaks.
- To assess the feasibility and utility of detecting SARS-CoV-2 RNA on various surfaces.
- To collect contextual data on LTCF infrastructure, behaviors, and infection control measures.
Main Methods:
- Three LTCF in South West England participated in the pilot study.
- Investigators swabbed common touch-points and elevated surfaces (>1.5m) for SARS-CoV-2 RNA.
- Clinical, epidemiological, and IPC data were collected for context.
Main Results:
- SARS-CoV-2 RNA was detected across sampled LTCF, with higher positivity rates in rooms of infected residents.
- A greater proportion of elevated surfaces tested positive compared to common touch-points.
- Lower contamination levels were observed in a facility with enhanced Infection Prevention and Control (IPC) measures.
Conclusions:
- SARS-CoV-2 RNA is detectable on both frequently touched and elevated surfaces within LTCF during outbreaks.
- Environmental sampling shows promise for infection surveillance in LTCF.
- Further research is warranted to evaluate the feasibility and utility of this approach for IPC.
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