Author:
Ambrosis Nicolás,Martin Aispuro Pablo,Belhart Keila,Bottero Daniela,Crisp Renée Leonor,Dansey María Virginia,Gabrielli Magali,Filevich Oscar,Genoud Valeria,Giordano Alejandra,Lin Min Chih,Lodeiro Anibal,Marceca Felipe,Pregi Nicolás,Lenicov Federico Remes,Rocha-Viegas Luciana,Rudi Erika,Solovey Guillermo,Zurita Eugenia,Pecci Adali,Etchenique Roberto,Hozbor Daniela
Abstract
Background: The high COVID-19 dissemination rate demands active surveillance to identify asymptomatic, presymptomatic, and oligosymptomatic (APO) SARS-CoV-2-infected individuals. This is of special importance in communities inhabiting closed or semi-closed institutions such as residential care homes, prisons, neuropsychiatric hospitals, etc., where risk people are in close contact. Thus, a pooling approach—where samples are mixed and tested as single pools—is an attractive strategy to rapidly detect APO-infected in these epidemiological scenarios.Materials and Methods: This study was done at different pandemic periods between May 28 and August 31 2020 in 153 closed or semi-closed institutions in the Province of Buenos Aires (Argentina). We setup pooling strategy in two stages: first a pool-testing followed by selective individual-testing according to pool results. Samples included in negative pools were presumed as negative, while samples from positive pools were re-tested individually for positives identification.Results: Sensitivity in 5-sample or 10-sample pools was adequate since only 2 Ct values were increased with regard to single tests on average. Concordance between 5-sample or 10-sample pools and individual-testing was 100% in the Ct ≤ 36. We tested 4,936 APO clinical samples in 822 pools, requiring 86–50% fewer tests in low-to-moderate prevalence settings compared to individual testing.Conclusions: By this strategy we detected three COVID-19 outbreaks at early stages in these institutions, helping to their containment and increasing the likelihood of saving lives in such places where risk groups are concentrated.
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4 articles.
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