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Decay pattern of SARS-CoV-2 RNA surface contamination in real residences
Nan Lin1, Bo Zhang2, Rong Shi1
1Department of Environmental Health, School of Public Health, Shanghai Jiao Tong University, 280 South Chongqing Rd, Shanghai, 200025, People's Republic of China.
Scientific Reports
|March 15, 2024
Summary
SARS-CoV-2 RNA contamination on surfaces in homes decays rapidly, with a 90% reduction within three days. This suggests fomite transmission played a limited role in COVID-19 spread during the Omicron wave.
Area of Science:
- Environmental Science
- Epidemiology
- Virology
Background:
- Understanding SARS-CoV-2 RNA decay on surfaces is crucial for pandemic preparedness.
- Limited data exists on fomite contamination patterns in residential settings during the COVID-19 pandemic.
Purpose of the Study:
- To investigate the decay patterns of SARS-CoV-2 RNA on surfaces in COVID-19 patient residences.
- To identify factors associated with surface contamination and determine the persistence of SARS-CoV-2 RNA.
Main Methods:
- Collected 2,233 surface samples from 21 object categories in 141 residences during Shanghai's Omicron wave (Spring 2022).
- Analyzed SARS-CoV-2 RNA presence, decay rates, and associations with patient/residence characteristics.
- Applied a first-order decay model to quantify contamination persistence.
Main Results:
- 8.7% of surface samples tested positive for SARS-CoV-2 RNA.
- Basins, water taps, and sewer inlets showed the highest contamination rates (>20%).
- SARS-CoV-2 RNA levels significantly decreased over time, fitting a first-order decay model (0.77±0.07 day⁻¹), indicating a 90% reduction in 3 days.
- Higher contamination in public corridors correlated with increased new COVID-19 cases in the building.
Conclusions:
- Fomite transmission likely played a limited role in COVID-19 spread, considering rapid RNA decay and potential lower viability.
- Surface contamination of SARS-CoV-2 RNA diminishes significantly within three days in residential environments.
- Findings offer insights into transmission dynamics and inform community-based prevention strategies for future infectious disease threats.
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