Monitoring human arboviral diseases through wastewater surveillance: challenges, progress and future opportunities
Arboviral diseases are caused by a group of viruses spread by the bite of infected
arthropods. Amongst these, dengue, Zika, west nile fever and yellow fever cause the …
arthropods. Amongst these, dengue, Zika, west nile fever and yellow fever cause the …
Wastewater surveillance could serve as a pandemic early warning system for COVID‐19 and beyond
Wastewater‐based surveillance can be used as an early warning system to identify COVID‐
19 outbreaks because the viral load can be observed in sewage before it is clinically …
19 outbreaks because the viral load can be observed in sewage before it is clinically …
Wastewater-based epidemiology predicts COVID-19-induced weekly new hospital admissions in over 150 USA counties
Although the coronavirus disease (COVID-19) emergency status is easing, the COVID-19
pandemic continues to affect healthcare systems globally. It is crucial to have a reliable and …
pandemic continues to affect healthcare systems globally. It is crucial to have a reliable and …
Does normalization of SARS-CoV-2 concentrations by Pepper Mild Mottle Virus improve correlations and lead time between wastewater surveillance and clinical data …
R Maal-Bared, Y Qiu, Q Li, T Gao, SE Hrudey… - Science of The Total …, 2023 - Elsevier
Wastewater-based surveillance (WBS) data normalization is an analyte measurement
correction that addresses variations resulting from dilution of fecal discharge by non-sanitary …
correction that addresses variations resulting from dilution of fecal discharge by non-sanitary …
[HTML][HTML] Metrics to relate COVID-19 wastewater data to clinical testing dynamics
Wastewater surveillance has emerged as a useful tool in the public health response to the
COVID-19 pandemic. While wastewater surveillance has been applied at various scales to …
COVID-19 pandemic. While wastewater surveillance has been applied at various scales to …
[HTML][HTML] Wastewater-based prediction of COVID-19 cases using a highly sensitive SARS-CoV-2 RNA detection method combined with mathematical modeling
Wastewater-based epidemiology (WBE) has the potential to predict COVID-19 cases;
however, reliable methods for tracking SARS-CoV-2 RNA concentrations (C RNA) in …
however, reliable methods for tracking SARS-CoV-2 RNA concentrations (C RNA) in …
[HTML][HTML] Wastewater surveillance of SARS-CoV-2 and chemical markers in campus dormitories in an evolving COVID− 19 pandemic
S Mohapatra, S Bhatia, KYK Senaratna… - Journal of Hazardous …, 2023 - Elsevier
In this study, we report the implementation of a comprehensive wastewater surveillance
testing program at a university campus in Singapore to identify Severe Acute Respiratory …
testing program at a university campus in Singapore to identify Severe Acute Respiratory …
[HTML][HTML] Impact of the COVID-19 pandemic on the prevalence of influenza A and respiratory syncytial viruses elucidated by wastewater-based epidemiology
Since the COVID-19 pandemic, a decrease in the prevalence of Influenza A virus (IAV) and
respiratory syncytial virus (RSV) has been suggested by clinical surveillance. However …
respiratory syncytial virus (RSV) has been suggested by clinical surveillance. However …
[HTML][HTML] Campus node-based wastewater surveillance enables COVID-19 case localization and confirms lower SARS-CoV-2 burden relative to the surrounding …
J Lee, N Acosta, BJ Waddell, K Du, K Xiang… - Water Research, 2023 - Elsevier
Wastewater-based surveillance (WBS) has been established as a powerful tool that can
guide health policy at multiple levels of government. However, this approach has not been …
guide health policy at multiple levels of government. However, this approach has not been …
Quantification of SARS-CoV-2 RNA in wastewater treatment plants mirrors the pandemic trend in Hong Kong
Wastewater-based epidemiology (WBE) for the SARS-CoV-2 virus in wastewater treatment
plants (WWTPs) has emerged as a cost-effective and unbiased tool for population-level …
plants (WWTPs) has emerged as a cost-effective and unbiased tool for population-level …