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Wastewater surveillance provides 10-days forecasting of COVID-19 hospitalizations superior to cases and test positivity: A prediction study.

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Title: Wastewater surveillance provides 10-days forecasting of COVID-19 hospitalizations superior to cases and test positivity: A prediction study.
Authors: Hill DT; Department of Public Health, Syracuse University, Syracuse, NY, 13244, USA., Alazawi MA; Center for Environmental Health, New York State Department of Health, Albany, NY, USA., Moran EJ; Center for Environmental Health, New York State Department of Health, Albany, NY, USA.; CDC Foundation, Atlanta, GA, USA., Bennett LJ; Center for Environmental Health, New York State Department of Health, Albany, NY, USA.; CDC Foundation, Atlanta, GA, USA., Bradley I; Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, USA., Collins MB; School of Marine and Atmospheric Sciences, Sustainability Studies Division, Stony Brook University, Stony Brook, NY, USA.; Institute for Advanced Computational Science, Stony Brook University, Stony Brook, NY, USA., Gobler CJ; New York State Center for Clean Water Technology, Stony Brook University, Stony Brook, NY, USA.; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, USA., Green H; Department of Environmental Biology, State University of New York College of Environmental Science and Forestry, Syracuse, NY, USA., Insaf TZ; Center for Environmental Health, New York State Department of Health, Albany, NY, USA.; Department of Epidemiology and Biostatistics, School of Public Health, University at Albany, Rensselaer, NY, USA., Kmush B; Department of Public Health, Syracuse University, Syracuse, NY, 13244, USA., Neigel D; Center for Environmental Health, New York State Department of Health, Albany, NY, USA.; CDC Foundation, Atlanta, GA, USA., Raymond S; Center for Environmental Health, New York State Department of Health, Albany, NY, USA.; CDC Foundation, Atlanta, GA, USA., Wang M; New York State Center for Clean Water Technology, Stony Brook University, Stony Brook, NY, USA.; Department of Civil Engineering, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY, USA., Ye Y; Department of Civil, Structural and Environmental Engineering, University at Buffalo, Buffalo, NY, USA., Larsen DA; Department of Public Health, Syracuse University, Syracuse, NY, 13244, USA.
Source: Infectious Disease Modelling [Infect Dis Model] 2023 Oct 31; Vol. 8 (4), pp. 1138-1150. Date of Electronic Publication: 2023 Oct 31 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: KeAi Communications Co., Ltd Country of Publication: China NLM ID: 101692406 Publication Model: eCollection Cited Medium: Internet ISSN: 2468-0427 (Electronic) Linking ISSN: 24680427 NLM ISO Abbreviation: Infect Dis Model Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Wastewater surveillance provides 10-days forecasting of COVID-19 hospitalizations superior to cases and test positivity: A prediction study.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22KeAi+Communications+Co%2E%2C+Ltd%22">KeAi Communications Co., Ltd </searchLink><i>Country of Publication: </i>China <i>NLM ID: </i>101692406 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2468-0427 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2224680427%22">24680427 </searchLink><i>NLM ISO Abbreviation: </i>Infect Dis Model <i>Subsets: </i>PubMed not MEDLINE
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