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SARS-CoV-2 Distribution in Residential Housing Suggests Contact Deposition and Correlates with Rothia
Victor J. Cantú; Rodolfo A. Salido; Shi Huang; Gibraan Rahman; Rebecca Tsai; Holly D. Valentine; Celestine G Magallanes; Stefan Aigner; Nathan A. Baer; Tom Barber; Pedro Belda-Ferre; Maryan Betty; MacKenzie Bryant; Martín Casas Maya; Anelizze Castro-Martínez; Marisol Chacón; Willi Cheung; Evelyn S. Crescini; Peter De Hoff; Emily Eisner; Sawyer Farmer; Abbas Hakim; Laura Kohn; Alma L. Lastrella; Elijah S. Lawrence; Sydney C Morgan; Toan T. Ngo; Alhakam Nouri; R. Tyler Ostrander; Ashley Plascencia; Christopher A. Ruiz; Shashank Sathe; Phoebe Seaver; Tara Schwartz; Elizabeth W. Smoot; Thomas Valles; Gene W. Yeo; Louise Laurent; Rebecca Fielding-Miller; Rob Knight.
Affiliation
  • Victor J. Cantú; University of California, San Diego
  • Rodolfo A. Salido; University of California, San Diego
  • Shi Huang; University of California, San Diego
  • Gibraan Rahman; University of California San Diego
  • Rebecca Tsai; University of California, San Diego
  • Holly D. Valentine; University of California, San Diego
  • Celestine G Magallanes; University of California, San Diego
  • Stefan Aigner; University of California, San Diego
  • Nathan A. Baer; University of California, San Diego
  • Tom Barber; University of California, San Diego
  • Pedro Belda-Ferre; University of California, San Diego
  • Maryan Betty; University of California, San Diego
  • MacKenzie Bryant; University of California, San Diego
  • Martín Casas Maya; University of California, San Diego
  • Anelizze Castro-Martínez; University of California, San Diego
  • Marisol Chacón; University of California, San Diego
  • Willi Cheung; University of California, San Diego
  • Evelyn S. Crescini; University of California, San Diego
  • Peter De Hoff; University of California, San Diego
  • Emily Eisner; University of California, San Diego
  • Sawyer Farmer; University of California, San Diego
  • Abbas Hakim; University of California, San Diego
  • Laura Kohn; University of California, San Diego
  • Alma L. Lastrella; University of California, San Diego
  • Elijah S. Lawrence; University of California, San Diego
  • Sydney C Morgan; University of California, San Diego
  • Toan T. Ngo; University of California, San Diego
  • Alhakam Nouri; University of California, San Diego
  • R. Tyler Ostrander; University of California, San Diego
  • Ashley Plascencia; University of California, San Diego
  • Christopher A. Ruiz; University of California, San Diego
  • Shashank Sathe; University of California, San Diego
  • Phoebe Seaver; University of California, San Diego
  • Tara Schwartz; University of California San Diego
  • Elizabeth W. Smoot; University of California, San Diego
  • Thomas Valles; University of California, San Diego
  • Gene W. Yeo; University of California, San Diego
  • Louise Laurent; University of California, San Diego
  • Rebecca Fielding-Miller; University of California, San Diego
  • Rob Knight; University of California, San Diego
Preprint in English | medRxiv | ID: ppmedrxiv-21267101
ABSTRACT
Monitoring severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on surfaces is emerging as an important tool for identifying past exposure to individuals shedding viral RNA. Our past work has demonstrated that SARS-CoV-2 reverse transcription-quantitative PCR (RT-qPCR) signals from surfaces can identify when infected individuals have touched surfaces such as Halloween candy, and when they have been present in hospital rooms or schools. However, the sensitivity and specificity of surface sampling as a method for detecting the presence of a SARS-CoV-2 positive individual, as well as guidance about where to sample, has not been established. To address these questions, and to test whether our past observations linking SARS-CoV-2 abundance to Rothia spp. in hospitals also hold in a residential setting, we performed detailed spatial sampling of three isolation housing units, assessing each sample for SARS-CoV-2 abundance by RT-qPCR, linking the results to 16S rRNA gene amplicon sequences to assess the bacterial community at each location and to the Cq value of the contemporaneous clinical test. Our results show that the highest SARS-CoV-2 load in this setting is on touched surfaces such as light switches and faucets, but detectable signal is present in many non-touched surfaces that may be more relevant in settings such as schools where mask wearing is enforced. As in past studies, the bacterial community predicts which samples are positive for SARS-CoV-2, with Rothia sp. showing a positive association. ImportanceSurface sampling for detecting SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), is increasingly being used to locate infected individuals. We tested which indoor surfaces had high versus low viral loads by collecting 381 samples from three residential units where infected individuals resided, and interpreted the results in terms of whether SARS-CoV-2 was likely transmitted directly (e.g. touching a light switch) or indirectly (e.g. by droplets or aerosols settling). We found highest loads where the subject touched the surface directly, although enough virus was detected on indirectly contacted surfaces to make such locations useful for sampling (e.g. in schools, where students do not touch the light switches and also wear masks so they have no opportunity to touch their face and then the object). We also documented links between the bacteria present in a sample and the SARS-CoV-2 virus, consistent with earlier studies.
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Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Observational study / Prognostic study Language: English Year: 2021 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Diagnostic study / Observational study / Prognostic study Language: English Year: 2021 Document type: Preprint
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