Publications by authors named "M J Betty"
Surface sampling for SARS-CoV-2 RNA detection has shown considerable promise to detect exposure of built environments to infected individuals shedding virus who would not otherwise be detected. Here, we compare two popular sampling media (VTM and SDS) and two popular workflows (Thermo and PerkinElmer) for implementation of a surface sampling program suitable for environmental monitoring in public schools. We find that the SDS/Thermo pipeline shows superior sensitivity and specificity, but that the VTM/PerkinElmer pipeline is still sufficient to support surface surveillance in any indoor setting with stable cohorts of occupants (e.
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- A study investigates using sentinel cards for monitoring SARS-CoV-2 traces in indoor environments, especially schools, to support safe in-person learning.* -
- The research tests various cleaning solutions to maintain the effectiveness of these cards while preventing interference from previously detected viral loads.* -
- RNase Away proved the best cleaner for all conditions, helping differentiate between new infections and residual virus, thereby offering a practical monitoring solution in settings with privacy concerns.*
Article Synopsis
- Monitoring SARS-CoV-2 on surfaces can help identify past exposure, especially in places like hospitals and schools, by detecting viral RNA left by infected individuals.
- A study collected samples from isolation housing units to investigate where SARS-CoV-2 accumulates, finding high viral loads on frequently touched surfaces like light switches but also on untouched ones like floors.
- The bacterial community in these environments seems to predict the presence of SARS-CoV-2, suggesting a potential link between certain bacterial types and higher viral detection.
Article Synopsis
- - Monitoring the presence of SARS-CoV-2 on surfaces helps to identify past exposures to infected individuals, assisting in tracking the virus’s spread, particularly in areas like hospitals and schools.
- - Research indicates that the highest viral loads are found on frequently touched surfaces (e.g., light switches, faucets), with detectable levels also present on non-touched surfaces, making sampling strategies important for environments where people are mask-wearing.
- - The study also linked SARS-CoV-2 levels to the surrounding bacterial community, finding that certain bacterial species can predict the likelihood of samples being positive for the virus, emphasizing the relationship between surface type and viral presence.
Article Synopsis
- - Environmental monitoring can help identify surfaces contaminated with COVID-19, providing crucial data for infection control and quarantine measures.
- - Research shows that the detection of viral RNA using RT-qPCR on surfaces remains stable for up to 7 days, with differences in signal intensity based on surface material (rough vs. smooth).
- - These findings highlight the need for cleaning surfaces after sampling to track virus decay and indicate that heat-inactivated viral particles can improve the efficiency of environmental monitoring in public health settings.