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. |
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| 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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