{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T18:06:48Z","timestamp":1792606008713,"version":"4.5.0"},"reference-count":44,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,11,1]],"date-time":"2024-11-01T00:00:00Z","timestamp":1730419200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81903372"],"award-info":[{"award-number":["81903372"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82402069"],"award-info":[{"award-number":["82402069"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["82373704"],"award-info":[{"award-number":["82373704"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Science of The Total Environment"],"published-print":{"date-parts":[[2024,11]]},"DOI":"10.1016\/j.scitotenv.2024.175830","type":"journal-article","created":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T22:35:23Z","timestamp":1724711723000},"page":"175830","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":16,"special_numbering":"C","title":["Estimating epidemic trajectories of SARS-CoV-2 and influenza A virus based on wastewater monitoring and a novel machine learning algorithm"],"prefix":"10.1016","volume":"951","author":[{"given":"Songzhe","family":"Fu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yixiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yinghui","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ziqiang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Du","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuejing","family":"Peng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhijiao","family":"Yue","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qinghua","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.scitotenv.2024.175830_bb0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2022.161023","article-title":"Occurrence of multiple respiratory viruses in wastewater in Queensland, Australia: potential for community disease surveillance","volume":"864","author":"Ahmed","year":"2023","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0010","doi-asserted-by":"crossref","first-page":"2067","DOI":"10.1080\/03007995.2021.1980868","article-title":"Positivity rate: an indicator for the spread of COVID-19","volume":"37","author":"Al Dallal","year":"2021","journal-title":"Curr. Med. Res. Opin."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0015","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2023.162694","article-title":"Impact of the COVID-19 pandemic on the prevalence of influenza A and respiratory syncytial viruses elucidated by wastewater-based epidemiology","volume":"880","author":"Ando","year":"2023","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.scitotenv.2024.175830_bb2000","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2023.162800","article-title":"A wastewater-based risk index for SARS-CoV-2 infections among three cities on the Canadian Prairie","volume":"876","author":"Asadi","year":"2023","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0020","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1021\/acs.estlett.3c00385","article-title":"More than a Tripledemic: influenza a virus, respiratory syncytial virus, SARS-CoV-2, and human metapneumovirus in wastewater during winter 2022\u20132023","volume":"10","author":"Boehm","year":"2023","journal-title":"Environ. Sci. Technol. Lett."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0025","doi-asserted-by":"crossref","first-page":"e340","DOI":"10.1016\/S2666-5247(22)00386-X","article-title":"Wastewater concentrations of human influenza, metapneumovirus, parainfluenza, respiratory syncytial virus, rhinovirus, and seasonal coronavirus nucleic-acids during the COVID-19 pandemic: a surveillance study","volume":"4","author":"Boehm","year":"2023","journal-title":"The Lancet Microbe"},{"key":"10.1016\/j.scitotenv.2024.175830_bb0030","doi-asserted-by":"crossref","first-page":"326","DOI":"10.1111\/j.1469-0691.2010.03167.x","article-title":"Rhinoviruses delayed the circulation of the pandemic influenza A (H1N1) 2009 virus in France","volume":"16","author":"Casalegno","year":"2010","journal-title":"Clin. Microbiol. Infect."},{"issue":"5","key":"10.1016\/j.scitotenv.2024.175830_bb0035","doi-asserted-by":"crossref","first-page":"1430","DOI":"10.1093\/infdis\/jiad402","article-title":"Viral interference during influenza A-SARS-CoV-2 coinfection of the human airway epithelium and reversal by oseltamivir","volume":"229","author":"Cheemarla","year":"2024","journal-title":"J. Infect. Dis."},{"key":"10.1016\/j.scitotenv.2024.175830_bb1000","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2023.164519","article-title":"Wastewater-based prediction of COVID-19 cases using a random forest algorithm with strain prevalence data: a case study of five municipalities in Latvia","volume":"891","author":"Dejus","year":"2023","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0040","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijid.2024.107052","article-title":"Global analysis of respiratory viral circulation and timing of epidemics in the pre-COVID-19 and COVID-19 pandemic eras, based on data from the Global Influenza Surveillance and Response System (GISRS)","volume":"144","author":"Del Riccio","year":"2024","journal-title":"Int. J. Infect. Dis."},{"issue":"15","key":"10.1016\/j.scitotenv.2024.175830_bb0045","doi-asserted-by":"crossref","first-page":"332","DOI":"10.46234\/ccdcw2024.063","article-title":"Early detection of the emerging SARS-CoV-2 BA.2.86 lineage through wastewater surveillance using a mediator probe PCR assay - Shenzhen City, Guangdong Province, China, 2023","volume":"6","author":"Du","year":"2024","journal-title":"China CDC Wkly"},{"key":"10.1016\/j.scitotenv.2024.175830_bb0050","doi-asserted-by":"crossref","first-page":"2884","DOI":"10.1038\/s41467-022-30485-3","article-title":"Off-season RSV epidemics in Australia after easing of COVID-19 restrictions","volume":"13","author":"Eden","year":"2022","journal-title":"Nat. Commun."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0055","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2023.120751","article-title":"Longitudinal wastewater surveillance of four key pathogens during an unprecedented large-scale COVID-19 outbreak in China facilitated a novel strategy for addressing public health priorities\u2013a proof of concept study","volume":"247","author":"Fu","year":"2023","journal-title":"Water Res."},{"key":"10.1016\/j.scitotenv.2024.175830_bb3000","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2024.121463","article-title":"Urban wastewater-based epidemiology for multi-viral pathogen surveillance in the Valencian region, Spain","volume":"255","author":"Gir\u00f3n-Guzm\u00e1n","year":"2024","journal-title":"Water Res."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0060","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1055\/s-2007-976490","article-title":"Rhinovirus and coronavirus infections","volume":"28","author":"Greenberg","year":"2007","journal-title":"Semin. Respir. Crit. Care Med."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0065","doi-asserted-by":"crossref","DOI":"10.1016\/j.envres.2024.118568","article-title":"Towards development of functional climate-driven early warning systems for climate-sensitive infectious diseases: statistical models and recommendations","volume":"249","author":"Haque","year":"2024","journal-title":"Environ. Res."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0070","first-page":"1422","article-title":"Wastewater surveillance predicts large-scale flu, RSV trends","volume":"330","author":"Harris","year":"2023","journal-title":"JAMA"},{"key":"10.1016\/j.scitotenv.2024.175830_bb0075","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2022.158458","article-title":"Understanding the dynamic relation between wastewater SARS-CoV-2 signal and clinical metrics throughout the pandemic","volume":"853","author":"Hegazy","year":"2022","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0080","first-page":"373","article-title":"Comparative global epidemiology of influenza, respiratory syncytial and parainfluenza viruses, 2010\u20132015","volume":"79","author":"Lam","year":"2019","journal-title":"J. Inf. Secur."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0085","doi-asserted-by":"crossref","DOI":"10.1002\/jmv.29249","article-title":"Resurgence of influenza during COVID-19 in Chongqing, China: a retrospective analysis","volume":"95","author":"Li","year":"2023","journal-title":"J. Med. Virol."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0090","doi-asserted-by":"crossref","first-page":"19354","DOI":"10.2807\/ese.14.40.19354-en","article-title":"Does viral interference affect spread of influenza?","volume":"14","author":"Linde","year":"2009","journal-title":"Euro Surveill."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.virusres.2024.199371","article-title":"Interaction and antiviral treatment of coinfection between SARS-CoV-2 and influenza in vitro","volume":"345","author":"Liu","year":"2024","journal-title":"Virus Res."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0100","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/rmv.2205","article-title":"How artificial intelligence may help the Covid-19 pandemic: pitfalls and lessons for the future","volume":"31","author":"Malik","year":"2021","journal-title":"Rev. Med. Virol."},{"issue":"1","key":"10.1016\/j.scitotenv.2024.175830_bb0105","first-page":"282","article-title":"Modelling epidemic growth models for lumpy skin disease cases in Thailand using nationwide outbreak data, 2021-2022","volume":"8","author":"Moonchai","year":"2023","journal-title":"Infect Dis Model"},{"key":"10.1016\/j.scitotenv.2024.175830_bb0110","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1016\/S0140-6736(10)60206-1","article-title":"Global burden of acute lower respiratory infections due to respiratory syncytial virus in young children: a systematic review and meta-analysis","volume":"375","author":"Nair","year":"2010","journal-title":"Lancet"},{"issue":"7","key":"10.1016\/j.scitotenv.2024.175830_bb0115","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1097\/INF.0000000000004314","article-title":"Respiratory syncytial virus bronchiolitis before and after COVID-19 pandemic: has the immunity debt been paid off?","volume":"43","author":"Nenna","year":"2024","journal-title":"Pediatr. Infect. Dis. J."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0120","doi-asserted-by":"crossref","first-page":"821","DOI":"10.3390\/vaccines10050821","article-title":"Out-of-season influenza during a COVID-19 void in the State of Rio de Janeiro, Brazil: temperature matters","volume":"10","author":"Nott","year":"2022","journal-title":"Vaccines"},{"issue":"15","key":"10.1016\/j.scitotenv.2024.175830_bb0125","doi-asserted-by":"crossref","DOI":"10.1128\/jvi.00765-22","article-title":"The host response to influenza a virus interferes with SARS-CoV-2 replication during coinfection","volume":"96","author":"Oishi","year":"2022","journal-title":"J. Virol."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0130","doi-asserted-by":"crossref","first-page":"3681","DOI":"10.1111\/ajt.16381","article-title":"Decreased influenza activity during the COVID-19 pandemic\u2014United States, Australia, Chile, and South Africa, 2020","volume":"20","author":"Olsen","year":"2020","journal-title":"Am. J. Transplant."},{"issue":"8","key":"10.1016\/j.scitotenv.2024.175830_bb0135","doi-asserted-by":"crossref","first-page":"1358","DOI":"10.1093\/cid\/ciac941","article-title":"Influenza vaccine effectiveness against influenza A(H3N2)-related illness in the United States during the 2021-2022 influenza season","volume":"76","author":"Price","year":"2023","journal-title":"Clin. Infect. Dis."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0145","doi-asserted-by":"crossref","first-page":"20542","DOI":"10.1021\/acs.est.3c07526","article-title":"United States influenza 2022\u20132023 season characteristics as inferred from wastewater solids, influenza hospitalization, and syndromic data","volume":"57","author":"Schoen","year":"2023","journal-title":"Environ. Sci. Technol."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0150","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2023.167709","article-title":"Estimating COVID-19 cases on a university campus based on wastewater surveillance using machine learning regression models","volume":"906","author":"Senaratna","year":"2024","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0155","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2022.109750","article-title":"Forecasting on Covid-19 infection waves using a rough set filter driven moving average models","volume":"131","author":"Srivastava","year":"2022","journal-title":"Appl. Soft Comput."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2023.164495","article-title":"Monitoring influenza and respiratory syncytial virus in wastewater. Beyond COVID-19","volume":"892","author":"Toribio-Avedillo","year":"2023","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2022.159748","article-title":"An exploration of challenges associated with machine learning for time series forecasting of COVID-19 community spread using wastewater-based epidemiological data","volume":"858","author":"Vaughan","year":"2023","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0170","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/j.cmi.2015.05.027","article-title":"Burden, seasonal pattern and symptomatology of acute respiratory illnesses with different viral aetiologies in children presenting at outpatient clinics in Hong Kong","volume":"21","author":"Wei","year":"2015","journal-title":"Clin. Microbiol. Infect."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0180","doi-asserted-by":"crossref","DOI":"10.1016\/j.mehy.2020.110049","article-title":"Cross-immunity between respiratory coronaviruses may limit COVID-19 fatalities","volume":"144","author":"Yaqinuddin","year":"2020","journal-title":"Med. Hypotheses"},{"key":"10.1016\/j.scitotenv.2024.175830_bb0185","doi-asserted-by":"crossref","DOI":"10.1029\/2023GH000866","article-title":"Machine learning for detecting virus infection hotspots via wastewater-based epidemiology: the case of SARS-CoV-2 RNA","volume":"7","author":"Zehnder","year":"2023","journal-title":"Geohealth"},{"key":"10.1016\/j.scitotenv.2024.175830_bb0190","doi-asserted-by":"crossref","first-page":"3262","DOI":"10.1038\/s41598-019-39871-2","article-title":"Predicting seasonal influenza epidemics using cross-hemisphere influenza surveillance data and local internet query data","volume":"9","author":"Zhang","year":"2019","journal-title":"Sci. Rep."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0195","doi-asserted-by":"crossref","DOI":"10.1016\/j.jhazmat.2024.134635","article-title":"Wastewater surveillance together with metaviromic data revealed the unusual resurgence of infectious diseases after the first wave of the COVID-19 outbreak","volume":"473","author":"Zhang","year":"2024","journal-title":"J. Hazard. Mater."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0200","doi-asserted-by":"crossref","DOI":"10.1016\/j.scitotenv.2022.161152","article-title":"Simple methods for early warnings of COVID-19 surges: lessons learned from 21 months of wastewater and clinical data collection in Detroit, Michigan, United States","volume":"864","author":"Zhao","year":"2023","journal-title":"Sci. Total Environ."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0205","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2023.120594","article-title":"Development and application of influenza virus wastewater surveillance in Hong Kong","volume":"245","author":"Zheng","year":"2023","journal-title":"Water Res."},{"key":"10.1016\/j.scitotenv.2024.175830_bb0210","doi-asserted-by":"crossref","DOI":"10.1016\/j.watres.2022.119560","article-title":"A rapid, high-throughput, and sensitive PEG-precipitation method for SARS-CoV-2 wastewater surveillance","volume":"230","author":"Zheng","year":"2023","journal-title":"Water Res."},{"issue":"4","key":"10.1016\/j.scitotenv.2024.175830_bb0215","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1007\/s10661-024-12516-2","article-title":"Sensitivity analysis of coastal cities to effects of rainstorm and flood disasters","volume":"196","author":"Zhu","year":"2024","journal-title":"Environ. Monit. Assess."}],"container-title":["Science of The Total Environment"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0048969724059862?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0048969724059862?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,11]],"date-time":"2026-08-11T22:00:06Z","timestamp":1786485606000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0048969724059862"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11]]},"references-count":44,"alternative-id":["S0048969724059862"],"URL":"https:\/\/doi.org\/10.1016\/j.scitotenv.2024.175830","relation":{},"ISSN":["0048-9697"],"issn-type":[{"value":"0048-9697","type":"print"}],"subject":[],"published":{"date-parts":[[2024,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Estimating epidemic trajectories of SARS-CoV-2 and influenza A virus based on wastewater monitoring and a novel machine learning algorithm","name":"articletitle","label":"Article Title"},{"value":"Science of The Total Environment","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.scitotenv.2024.175830","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"175830"}}