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1.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21260627

RESUMO

A number of recent retrospective studies have demonstrated that SARS-CoV-2 RNA concentrations in wastewater are associated with COVID-19 cases in the corresponding sewersheds. Implementing high-resolution, prospective efforts across multiple plants depends on sensitive measurements that are representative of COVID-19 cases, scalable for high throughput analysis, and comparable across laboratories. We conducted a prospective study across eight publicly owned treatment works (POTWs). A focus on SARS-CoV-2 RNA in solids enabled us to scale-up our measurements with a commercial lab partner. Samples were collected daily and results were posted to a website within 24-hours. SARS-CoV-2 RNA in daily samples correlated to incidence COVID-19 cases in the sewersheds; a 1 log10 increase in SARS-CoV-2 RNA in settled solids corresponds to a 0.58 log10 (4X) increase in sewershed incidence rate. SARS-CoV-2 RNA signals measured with the commercial laboratory partner were comparable across plants and to measurements conducted in a university laboratory when normalized by pepper mild mottle virus PMMoV RNA. Results suggest that SARS-CoV-2 RNA should be detectable in settled solids for COVID-19 incidence rates > 1/100,000 (range 0.8 - 2.3 cases per 100,000). These sensitive, representative, scalable, and comparable methods will be valuable for future efforts to scale-up wastewater-based epidemiology. ImportanceAccess to reliable, rapid monitoring data is critical to guide response to an infectious disease outbreak. For pathogens that are shed in feces or urine, monitoring wastewater can provide a cost-effective snapshot of transmission in an entire community via a single sample. In order for a method to be useful for ongoing COVID-19 monitoring, it should be sensitive for detection of low concentrations of SARS-CoV-2, representative of incidence rates in the community, scalable to generate data quickly, and comparable across laboratories. This paper presents a method utilizing wastewater solids to meet these goals, producing measurements of SARS-CoV-2 RNA strongly associated with COVID-19 cases in the sewershed of a publicly owned treatment work. Results, provided within 24 hrs, can be used to detect incidence rates as low as approximately 1/100,000 cases and can be normalized for comparison across locations generating data using different methods.

2.
Rachel M Burke; Sharon Balter; Emily Barnes; Vaughn Barry; Karri Bartlett; Karlyn D Beer; Isaac Benowitz; Holly M Biggs; Hollianne Bruce; Jonathan Bryant-Genevier; Jordan Cates; Kevin Chatham-Stephens; Nora Chea; Howard Chiou; Demian Christiansen; Victoria Chu; Shauna Clark; Sara H. Cody; Max Cohen; Erin E Conners; Vishal Dasari; Patrick Dawson; Traci DeSalvo; Matthew Donahue; Alissa Dratch; Lindsey Duca; Jeffrey Duchin; Jonathan W Dyal; Leora R Feldstein; Marty Fenstersheib; Marc Fischer; Rebecca Fisher; Chelsea Foo; Brandi Freeman-Ponder; Alicia M Fry; Jessica Gant; Romesh Gautom; Isaac Ghinai; Prabhu Gounder; Cheri T Grigg; Jeffrey Gunzenhauser; Aron J Hall; George S Han; Thomas Haupt; Michelle Holshue; Jennifer Hunter; Mireille B Ibrahim; Max W Jacobs; M. Claire Jarashow; Kiran Joshi; Talar Kamali; Vance Kawakami; Moon Kim; Hannah Kirking; Amanda Kita-Yarbro; Rachel Klos; Miwako Kobayashi; Anna Kocharian; Misty Lang; Jennifer Layden; Eva Leidman; Scott Lindquist; Stephen Lindstrom; Ruth Link-Gelles; Mariel Marlow; Claire P Mattison; Nancy McClung; Tristan McPherson; Lynn Mello; Claire M Midgley; Shannon Novosad; Megan T Patel; Kristen Pettrone; Satish K Pillai; Ian W Pray; Heather E Reese; Heather Rhodes; Susan Robinson; Melissa Rolfes; Janell Routh; Rachel Rubin; Sarah L Rudman; Denny Russell; Sarah Scott; Varun Shetty; Sarah E Smith-Jeffcoat; Elizabeth A Soda; Chris Spitters; Bryan Stierman; Rebecca Sunenshine; Dawn Terashita; Elizabeth Traub; Grace E Vahey; Jennifer R Verani; Megan Wallace; Matthew Westercamp; Jonathan Wortham; Amy Xie; Anna Yousaf; Matthew Zahn.
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20081901

RESUMO

BackgroundCoronavirus disease 2019 (COVID-19), the respiratory disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in Wuhan, China and has since become pandemic. As part of initial response activities in the United States, enhanced contact investigations were conducted to enable early identification and isolation of additional cases and to learn more about risk factors for transmission. MethodsClose contacts of nine early travel-related cases in the United States were identified. Close contacts meeting criteria for active monitoring were followed, and selected individuals were targeted for collection of additional exposure details and respiratory samples. Respiratory samples were tested for SARS-CoV-2 by real-time reverse transcription polymerase chain reaction (RT-PCR) at the Centers for Disease Control and Prevention. ResultsThere were 404 close contacts who underwent active monitoring in the response jurisdictions; 338 had at least basic exposure data, of whom 159 had [≥]1 set of respiratory samples collected and tested. Across all known close contacts under monitoring, two additional cases were identified; both secondary cases were in spouses of travel-associated case patients. The secondary attack rate among household members, all of whom had [≥]1 respiratory sample tested, was 13% (95% CI: 4 - 38%). ConclusionsThe enhanced contact tracing investigations undertaken around nine early travel-related cases of COVID-19 in the United States identified two cases of secondary transmission, both spouses. Rapid detection and isolation of the travel-associated case patients, enabled by public awareness of COVID-19 among travelers from China, may have mitigated transmission risk among close contacts of these cases.

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