{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T18:05:09Z","timestamp":1787162709398,"version":"build-2736575974"},"reference-count":39,"publisher":"Public Library of Science (PLoS)","issue":"5","license":[{"start":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T00:00:00Z","timestamp":1748390400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS One"],"abstract":"<jats:sec id=\"sec017\">\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study was conducted to enhance conventional epidemiological surveillance by implementing city-wide wastewater monitoring of SARS-CoV-2 RNA. The research aimed to develop a quantitative model for estimating infection rates and to compare these predictions with clinical case data. Furthermore, this wastewater surveillance was utilized as an early warning system for potential COVID-19 outbreaks during a large international event, the Chengdu 2023 FISU Games.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec018\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This study employed wastewater based epidemiology (WBE), utilizing samples collected twice a week from nine wastewater treatment plants that serve 66.1% of Chengdu\u2019s residents, totaling 15.2 million people. The samples were collected between January 18, 2023, and June 15, 2023, and were tested for SARS-CoV-2 RNA. A model employed back-calculation of SARS-CoV-2 infections by integrating wastewater viral load measurements with human fecal and urinary shedding rates, as well as population size estimates derived from NH4-N concentrations, utilizing Monte Carlo simulations to quantify uncertainty. The model\u2019s predictions compared with the number of registered cases identified by the Nucleic Acid Testing Platform of Chengdu during the same period. Additionally, we conducted sampling from two manholes in the wastewater pipeline, which encompassed all residents of the Chengdu 2023 FISU World University Games village, and tested for SARS-CoV-2 RNA. We also gathered data on COVID-19 cases from the symptom monitoring system between July 20 and August 11.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec019\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>From the third week to the twenty-fourth week of 2023, the weekly median concentration of SARS-CoV-2 RNA fluctuated, starting at 16.94 copies\/ml in the third week, decreasing to 1.62 copies\/ml by the fifteenth week, then gradually rising to a peak of 41.27 copies\/ml in the twentieth week, before ultimately declining to 8.74 copies\/ml by the twenty-fourth week. During this period, the number of weekly new cases exhibited a similar trend, and the results indicated a significant correlation between the viral concentration and the number of weekly new cases (spearman\u2019s r\u2009=\u20090.93, P\u2009&lt;\u20090.001). The quantitative wastewater surveillance model estimated that approximately 2,258,245 individuals (P5-P95: 847,869 - 3,928,127) potentially contracted COVID-19 during the epidemic wave from March 4th to June 15th, which is roughly 33 times the number of registered cases (68,190 cases) reported on the Nucleic Acid Testing Platform. Furthermore, the infection rates of SARS-CoV-2, as estimated by the model, ranged from 0.012% (P5-P95: 0.004% - 0.020%) at the lowest baseline to 3.27% (P5-P95: 1.23% - 5.69%) at the peak of the epidemic, with 15.1% (P5-P95: 5.65% - 26.2%) of individuals infected during the epidemic wave between March 4th and June 15th. Additionally, we did not observe any COVID-19 outbreaks or cluster infections at the Chengdu 2023 FISU World University Games village, and there was no significant difference in the concentrations of SARS-CoV-2 in athletes before and after check-in at the village.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"sec020\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>This study demonstrates the effectiveness of wastewater surveillance as a long-term sentinel approach for monitoring SARS-CoV-2 and providing early warnings for COVID-19 outbreaks during large international events. This method significantly enhances traditional epidemiological surveillance. The quantitative wastewater surveillance model offers a reliable means of estimating the number of infected individuals, which can be instrumental in informing policy decisions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1371\/journal.pone.0324521","type":"journal-article","created":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T13:35:47Z","timestamp":1748439347000},"page":"e0324521","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":7,"title":["Wastewater surveillance as a predictive tool for COVID-19: A case study in 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perspective on COVID-19 pandemic review, an insight into the global impact","volume":"11","author":"A Vall\u00e9e","year":"2023","journal-title":"Front Public Health"},{"issue":"1","key":"pone.0324521.ref002","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1186\/s12889-022-13845-y","article-title":"The converging influence of social, economic and psychological factors on public responsiveness to the COVID-19 pandemic in South Africa","volume":"22","author":"L-A Swart","year":"2022","journal-title":"BMC Public Health"},{"key":"pone.0324521.ref003","article-title":"Effectiveness of public health measures in reducing the incidence of covid-19, SARS-CoV-2 transmission, and covid-19 mortality: systematic review and meta-analysis","volume":"375","author":"S Talic","year":"2021","journal-title":"BMJ"},{"key":"pone.0324521.ref004","author":"WHO [Internet]","year":"c2023"},{"key":"pone.0324521.ref005","author":"Chinese Government 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COVID-19 strategy","volume":"949","author":"Y Li","year":"2024","journal-title":"Sci Total Environ"},{"key":"pone.0324521.ref023","doi-asserted-by":"crossref","first-page":"170921","DOI":"10.1016\/j.scitotenv.2024.170921","article-title":"Detection of SARS-CoV-2 and Omicron variant RNA in wastewater samples from Manila, Philippines","volume":"919","author":"JGM Inson","year":"2024","journal-title":"Sci Total Environ"},{"issue":"31","key":"pone.0324521.ref024","doi-asserted-by":"crossref","first-page":"76687","DOI":"10.1007\/s11356-023-27926-x","article-title":"20-Month monitoring of SARS-CoV-2 in wastewater of Curitiba, in Southern Brazil","volume":"30","author":"R Belmonte-Lopes","year":"2023","journal-title":"Environ Sci Pollut Res Int"},{"key":"pone.0324521.ref025","doi-asserted-by":"crossref","first-page":"165457","DOI":"10.1016\/j.scitotenv.2023.165457","article-title":"Association of wastewater SARS-CoV-2 load with confirmed COVID-19 cases at a university hospital in Sapporo, Japan during the period from February 2021 to February 2023","volume":"899","author":"K Kagami","year":"2023","journal-title":"Sci Total Environ"},{"key":"pone.0324521.ref026","doi-asserted-by":"crossref","first-page":"117369","DOI":"10.1016\/j.watres.2021.117369","article-title":"A multicenter study investigating SARS-CoV-2 in tertiary-care hospital wastewater. viral burden correlates with increasing hospitalized cases as well as hospital-associated transmissions and outbreaks","volume":"201","author":"N Acosta","year":"2021","journal-title":"Water Res"},{"issue":"10","key":"pone.0324521.ref027","doi-asserted-by":"crossref","first-page":"25050","DOI":"10.1007\/s11356-021-14809-2","article-title":"Municipal wastewater viral pollution in Saudi Arabia: effect of hot climate on COVID-19 disease spreading","volume":"30","author":"HM Alahdal","year":"2023","journal-title":"Environ Sci Pollut Res 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Aires metropolitan region, Argentina, throughout nine months of surveillance: a pilot study","volume":"800","author":"ME Barrios","year":"2021","journal-title":"Sci Total Environ"},{"issue":"12","key":"pone.0324521.ref034","doi-asserted-by":"crossref","DOI":"10.1016\/S2542-5196(21)00230-8","article-title":"COVID-19 wastewater epidemiology: a model to estimate infected populations","volume":"5","author":"CS McMahan","year":"2021","journal-title":"Lancet Planet Health"},{"key":"pone.0324521.ref035","author":"Chinese Center for Disease Control and Prevention [Internet]","year":"c2023"},{"issue":"1","key":"pone.0324521.ref036","first-page":"56","article-title":"Forecast of peak infection and estimate of excess deaths in COVID-19 transmission and prevalence in Taiyuan City, 2022 to 2023","volume":"9","author":"J-L Wang","year":"2023","journal-title":"Infect Dis 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