1. Wastewater SARS-CoV-2 monitoring as a community-level COVID-19 trend tracker and variants in Ohio, United States
- Author
-
Jiyoung Lee, Fan He, Huolin Tu, Angela Davis, Xiaokang Pan, Yuehan Ai, Stanley Lemeshow, Dan Jones, Peng Ru, and Zuzana Bohrerova
- Subjects
medicine.medical_specialty ,Veterinary medicine ,Wastewater-Based Epidemiological Monitoring ,Environmental Engineering ,Coronavirus disease 2019 (COVID-19) ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Wastewater-based epidemiology ,Biology ,Wastewater ,Article ,law.invention ,law ,Epidemiology ,Pandemic ,medicine ,Environmental Chemistry ,Humans ,N501Y ,Waste Management and Disposal ,Viral Sequencing ,Ohio ,Community level ,SARS-CoV-2 ,COVID-19 ,D614G ,Pollution ,Transmission (mechanics) ,B.1.427/429 ,crAssphage ,Quadratic polynomial model ,PMMoV - Abstract
The global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in more than 129 million confirm cases. Many health authorities around the world have implemented wastewater-based epidemiology as a rapid and complementary tool for the COVID-19 surveillance system and more recently for variants of concern emergence tracking. In this study, three SARS-CoV-2 target genes (N1 and N2 gene regions, and E gene) were quantified from wastewater influent samples (n = 250) obtained from the capital city and 7 other cities in various size in central Ohio from July 2020 to January 2021. To determine human-specific fecal strength in wastewater samples more accurately, two human fecal viruses (PMMoV and crAssphage) were quantified to normalize the SARS-CoV-2 gene concentrations in wastewater. To estimate the trend of new case numbers from SARS-CoV-2 gene levels, different statistical models were built and evaluated. From the longitudinal data, SARS-CoV-2 gene concentrations in wastewater strongly correlated with daily new confirmed COVID-19 cases (average Spearman's r = 0.70, p, Graphical abstract Unlabelled Image
- Published
- 2021