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Implementation of Practical Surface SARS-CoV-2 Surveillance in School Settings.
Cantú, Victor J; Belda-Ferre, Pedro; Salido, Rodolfo A; Tsai, Rebecca; Austin, Brett; Jordan, William; Asudani, Menka; Walster, Amanda; Magallanes, Celestine G; Valentine, Holly; Manjoonian, Araz; Wijaya, Carrissa; Omaleki, Vinton; Sanders, Karenina; Aigner, Stefan; Baer, Nathan A; Betty, Maryann; Castro-Martínez, Anelizze; Cheung, Willi; Crescini, Evelyn S; De Hoff, Peter; Eisner, Emily; Hakim, Abbas; Kapadia, Bhavika; Lastrella, Alma L; Lawrence, Elijah S; Ngo, Toan T; Ostrander, Tyler; Sathe, Shashank; Seaver, Phoebe; Smoot, Elizabeth W; Carlin, Aaron F; Yeo, Gene W; Laurent, Louise C; Manlutac, Anna Liza; Fielding-Miller, Rebecca; Knight, Rob.
Afiliación
  • Cantú VJ; Department of Bioengineering, University of California San Diegogrid.266100.3, La Jolla, California, USA.
  • Belda-Ferre P; Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Salido RA; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Tsai R; Department of Bioengineering, University of California San Diegogrid.266100.3, La Jolla, California, USA.
  • Austin B; Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Jordan W; San Diego County Public Health Lab, San Diego, California, USA.
  • Asudani M; San Diego County Public Health Lab, San Diego, California, USA.
  • Walster A; San Diego County Public Health Lab, San Diego, California, USA.
  • Magallanes CG; San Diego County Public Health Lab, San Diego, California, USA.
  • Valentine H; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, California, USA.
  • Manjoonian A; Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, California, USA.
  • Wijaya C; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, California, USA.
  • Omaleki V; Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, California, USA.
  • Sanders K; Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, California, USA.
  • Aigner S; San Diego State University, San Diego, California, USA.
  • Baer NA; Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, California, USA.
  • Betty M; Herbert Wertheim School of Public Health, University of California San Diego, La Jolla, California, USA.
  • Castro-Martínez A; Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Cheung W; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Crescini ES; Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, California, USA.
  • De Hoff P; Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California, USA.
  • Eisner E; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Hakim A; Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Kapadia B; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Lastrella AL; Rady Children's Hospital, San Diego, California, USA.
  • Lawrence ES; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Ngo TT; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Ostrander T; Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, California, USA.
  • Sathe S; San Diego State University, San Diego, California, USA.
  • Seaver P; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Smoot EW; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Carlin AF; Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, California, USA.
  • Yeo GW; Sanford Consortium of Regenerative Medicine, University of California San Diego, La Jolla, California, USA.
  • Laurent LC; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Manlutac AL; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Fielding-Miller R; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Knight R; Expedited COVID Identification Environment (EXCITE) Laboratory, Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
mSystems ; 7(4): e0010322, 2022 08 30.
Article en En | MEDLINE | ID: mdl-35703437
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.g., schools, prisons, group homes, etc.) and may be used to leverage existing investments in infrastructure. IMPORTANCE The ongoing COVID-19 pandemic has claimed the lives of over 5 million people worldwide. Due to high density occupancy of indoor spaces for prolonged periods of time, schools are often of concern for transmission, leading to widespread school closings to combat pandemic spread when cases rise. Since pediatric clinical testing is expensive and difficult from a consent perspective, we have deployed surface sampling in SASEA (Safer at School Early Alert), which allows for detection of SARS-CoV-2 from surfaces within a classroom. In this previous work, we developed a high-throughput method which requires robotic automation and specific reagents that are often not available for public health laboratories such as the San Diego County Public Health Laboratory (SDPHL). Therefore, we benchmarked our method (Thermo pipeline) against SDPHL's (PerkinElmer) more widely used method for the detection and prediction of SARS-CoV-2 exposure. While our method shows superior sensitivity (false-negative rate of 9% versus 27% for SDPHL), the SDPHL pipeline is sufficient to support surface surveillance in indoor settings. These findings are important since they show that existing investments in infrastructure can be leveraged to slow the spread of SARS-CoV-2 not in just the classroom but also in prisons, nursing homes, and other high-risk, indoor settings.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies / Screening_studies Límite: Child / Humans Idioma: En Revista: MSystems Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies / Screening_studies Límite: Child / Humans Idioma: En Revista: MSystems Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos