Publications by authors named "Qingyu Zhan"
Article Synopsis
- - Wastewater-based epidemiology (WBE) is used to monitor COVID-19 infections by detecting SARS-CoV-2 RNA in wastewater, with the effectiveness possibly changing due to virus mutations over time.
- - This study examined wastewater samples from the University of Miami and Miami-Dade County across different COVID-19 variant periods, comparing RNA levels to clinical COVID-19 cases and hospitalizations.
- - While correlations were generally strong, they varied by variant; the Omicron period showed a steeper relationship between wastewater RNA levels and case numbers, while the Initial wave had the strongest correlation for hospitalizations.
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in wastewater has been used to track community infections of coronavirus disease-2019 (COVID-19), providing critical information for public health interventions. Since levels in wastewater are dependent upon human inputs, we hypothesize that tracking infections can be improved by normalizing wastewater concentrations against indicators of human waste [Pepper Mild Mottle Virus (PMMoV), β-2 Microglobulin (B2M), and fecal coliform]. In this study, we analyzed SARS-CoV-2 and indicators of human waste in wastewater from two sewersheds of different scales: a University campus and a wastewater treatment plant.
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