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Prolonged viral shedding from noninfectious individuals confounds wastewater-based epidemiology.
Phan, Tin; Brozak, Samantha; Pell, Bruce; Ciupe, Stanca M; Ke, Ruian; Ribeiro, Ruy M; Gitter, Anna; Mena, Kristina D; Perelson, Alan S; Kuang, Yang; Wu, Fuqing.
Afiliação
  • Phan T; Theoretical Biology and Biophysics, Los Alamos National Laboratory, NM 87544, USA.
  • Brozak S; School of Mathematical and Statistical Sciences, Arizona State University, AZ 85281, USA.
  • Pell B; Department of Mathematics and Computer Science, Lawrence Technological University, MI 48075, USA.
  • Ciupe SM; Department of Mathematics, Virginia Tech, Blacksburg, VA 24060, USA.
  • Ke R; Theoretical Biology and Biophysics, Los Alamos National Laboratory, NM 87544, USA.
  • Ribeiro RM; Theoretical Biology and Biophysics, Los Alamos National Laboratory, NM 87544, USA.
  • Gitter A; School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Mena KD; Texas Epidemic Public Health Institute, TX, USA.
  • Perelson AS; School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
  • Kuang Y; Texas Epidemic Public Health Institute, TX, USA.
  • Wu F; Theoretical Biology and Biophysics, Los Alamos National Laboratory, NM 87544, USA.
medRxiv ; 2023 Jun 09.
Article em En | MEDLINE | ID: mdl-37333173
ABSTRACT
Wastewater surveillance has been widely used to track and estimate SARS-CoV-2 incidence. While both infectious and recovered individuals shed virus into wastewater, epidemiological inferences using wastewater often only consider the viral contribution from the former group. Yet, the persistent shedding in the latter group could confound wastewater-based epidemiological inference, especially during the late stage of an outbreak when the recovered population outnumbers the infectious population. To determine the impact of recovered individuals' viral shedding on the utility of wastewater surveillance, we develop a quantitative framework that incorporates population-level viral shedding dynamics, measured viral RNA in wastewater, and an epidemic dynamic model. We find that the viral shedding from the recovered population can become higher than the infectious population after the transmission peak, which leads to a decrease in the correlation between wastewater viral RNA and case report data. Furthermore, the inclusion of recovered individuals' viral shedding into the model predicts earlier transmission dynamics and slower decreasing trends in wastewater viral RNA. The prolonged viral shedding also induces a potential delay in the detection of new variants due to the time needed to generate enough new cases for a significant viral signal in an environment dominated by virus shed by the recovered population. This effect is most prominent toward the end of an outbreak and is greatly affected by both the recovered individuals' shedding rate and shedding duration. Our results suggest that the inclusion of viral shedding from non-infectious recovered individuals into wastewater surveillance research is important for precision epidemiology.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article