The use of wastewater surveillance to estimate SARS-CoV-2 fecal viral shedding pattern and identify time periods with intensified transmission DOI Creative Commons
Wan Yang,

Enoma Omoregie,

Aaron L. Olsen

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 24, 2025

Wastewater-based surveillance is an important tool for monitoring the COVID-19 pandemic. However, it remains challenging to translate wastewater SARS-CoV-2 viral load infection number, due unclear shedding patterns in and potential differences between variants. We utilized comprehensive data estimates of prevalence (i.e., source shedding) available New York City (NYC) characterize fecal pattern over multiple waves. collected measurements NYC during August 31, 2020 – 29, 2023 (N = 3794 samples). Combining with (number infectious individuals including those not detected as cases), we estimated time-lag, duration, per-infection rate ancestral/Iota, Delta, Omicron variants, separately. also developed a procedure identify occasions intensified transmission. Models suggested likely starts around same time lasts slightly longer than respiratory tract shedding. Estimated was highest ancestral/Iota variant wave, at 1.44 (95% CI: 1.35 1.53) billion RNA copies per day (measured by RT-qPCR), decreased 20% 50-60% Delta wave period, respectively. identified 200 which exceeded expected level any city's 14 sewersheds. These anomalies disproportionally occurred late January, April—early May, early August, from late-November late-December, frequencies exceeding expectation assuming random occurrence (P < 0.05; bootstrapping test). may be useful understanding changes underlying help quantify transmission severity time. have demonstrated that can support identification periods potentially

Language: Английский

The use of wastewater surveillance to estimate SARS-CoV-2 fecal viral shedding pattern and identify time periods with intensified transmission DOI Creative Commons
Wan Yang,

Enoma Omoregie,

Aaron L. Olsen

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 24, 2025

Wastewater-based surveillance is an important tool for monitoring the COVID-19 pandemic. However, it remains challenging to translate wastewater SARS-CoV-2 viral load infection number, due unclear shedding patterns in and potential differences between variants. We utilized comprehensive data estimates of prevalence (i.e., source shedding) available New York City (NYC) characterize fecal pattern over multiple waves. collected measurements NYC during August 31, 2020 – 29, 2023 (N = 3794 samples). Combining with (number infectious individuals including those not detected as cases), we estimated time-lag, duration, per-infection rate ancestral/Iota, Delta, Omicron variants, separately. also developed a procedure identify occasions intensified transmission. Models suggested likely starts around same time lasts slightly longer than respiratory tract shedding. Estimated was highest ancestral/Iota variant wave, at 1.44 (95% CI: 1.35 1.53) billion RNA copies per day (measured by RT-qPCR), decreased 20% 50-60% Delta wave period, respectively. identified 200 which exceeded expected level any city's 14 sewersheds. These anomalies disproportionally occurred late January, April—early May, early August, from late-November late-December, frequencies exceeding expectation assuming random occurrence (P < 0.05; bootstrapping test). may be useful understanding changes underlying help quantify transmission severity time. have demonstrated that can support identification periods potentially

Language: Английский

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