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      Estimation of community-wide multi-chemical exposure via water-based chemical mining: Key research gaps drawn from a comprehensive multi-biomarker multi-city dataset

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          First confirmed detection of SARS-CoV-2 in untreated wastewater in Australia: A proof of concept for the wastewater surveillance of COVID-19 in the community

          Infection with SARS-CoV-2, the etiologic agent of the ongoing COVID-19 pandemic, is accompanied by the shedding of the virus in stool. Therefore, the quantification of SARS-CoV-2 in wastewater affords the ability to monitor the prevalence of infections among the population via wastewater-based epidemiology (WBE). In the current work, SARS-CoV-2 RNA was concentrated from wastewater in a catchment in Australia and viral RNA copies were enumerated using reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) resulting in two positive detections within a six day period from the same wastewater treatment plant (WWTP). The estimated RNA copy numbers observed in the wastewater were then used to estimate the number of infected individuals in the catchment via Monte Carlo simulation. Given the uncertainty and variation in the input parameters, the model estimated a median range of 171 to 1090 infected persons in the catchment, which is in reasonable agreement with clinical observations. This work highlights the viability of WBE for monitoring infectious diseases, such as COVID-19, in communities. The work also draws attention to the need for further methodological and molecular assay validation for enveloped viruses in wastewater.
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            Wastewater-Based Epidemiology: Global Collaborative to Maximize Contributions in the Fight Against COVID-19

            Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel member of the Coronaviridae family, has been identified as the etiologic agent of an ongoing pandemic of severe pneumonia known as COVID-19. 1 To date there have been millions of cases of COVID-19 diagnosed in 184 countries with case fatality rates ranging from 1.8% in Germany to 12.5% in Italy. 2 Limited diagnostic testing capacity and asymptomatic and oligosymptomatic infections result in significant uncertainty in the estimated extent of SARS-CoV-2 infection. 3 Recent reports have documented that infection with SARS-CoV-2 is accompanied by persistent shedding of virus RNA in feces in 27% 4 to 89% of patients at densities from 0.8 to 7.5 log10 gene copies per gram. 5 The presence of SARS-CoV-2 RNA in feces raises the potential to survey sewage for virus RNA to inform epidemiological monitoring of COVID-19, which we refer to as wastewater-based epidemiology (WBE), 6 but is also known as environmental surveillance. 7 Several studies have reported the detection of SARS-CoV-2 RNA in wastewater in the early stages of local outbreaks, further supporting the technical viability of WBE. 8−10 WBE could be especially informative given that asymptomatic and oligosymptomatic infections are unlikely to be detected during clinical surveillance. In such instances, WBE can be used to determine the burden of undiagnosed infections at the population level, which is critical to refining estimates of case-fatality rates. Additionally, wastewater offers an aggregate sample from an entire community that is more easily accessible than pooled clinical samples. 11 Along with clinical data and other technological approaches, such as contact tracing, WBE could provide critical monitoring of SARS-CoV-2 transmission within a community including the beginning, tapering, or re-emergence of an epidemic (Figure 1 ). This approach mirrors previous efforts in environmental monitoring, for example poliovirus RNA, to inform mechanistic models of pathogen transmission dynamics. 12 Figure 1 In wastewater-based epidemiology (WBE), the prevalence of SARS-CoV-2 infections in a community could be estimated by enumerating the virus RNA in that community’s sewage and performing mass balances on virus shedding using population and sewage flow rate data. Such information can then inform public health responses to the outbreak. The ongoing pandemic provides a meaningful opportunity to field-test the hypothesis that WBE can be used to detect and manage infectious disease transmission in communities. Many research groups across the globe are mobilizing to monitor wastewater for SARS-CoV-2 RNA for this purpose. However, the quantitative relationship between RNA densities in sewage and human infection prevalence is dependent on many spatial and temporal variables. Importantly, these relationships must be examined in both urban settings with centralized wastewater facilities and rural and low-income settings with decentralized wastewater infrastructure. Assessing variation and uncertainty across such diverse settings requires the systematic harmonization and validation of methodologies across research groups. Therefore, to maximize the potential of the diverse WBE efforts underway, we propose a global effort to coordinate methodologies and data-sharing to maximize the yields of WBE for the current and future outbreaks of disease. The community will also benefit from including appropriate quantitative controls and standards as described previously by Bustin et al. 13 to ensure cross laboratory comparability and data defensibility. Efficient harmonization of sampling, quality control, and analysis methods in the near term and, in the future, widespread dissemination of the resulting data sets and publications will help to ensure a high-quality evaluation of WBE. In partnership with the Sewage Analysis CORe group Europe (SCORE) network and the Global Water Pathogen Project, we have launched the COVID-19 WBE Collaborative (https://www.covid19wbec.org/) as a hub to coordinate and promote the efforts of research groups undertaking WBE for COVID-19. The Web site will include content such as press releases, commentaries, and media content for public outreach and will be used to solicit participation in the collaborative and advertise events relevant to WBE. In the future, the site could also be used to host data sets and promulgate publications and presentations that result from the COVID-19 WBE Collaborative. We are pleased to invite our colleagues to join this effort at a level commensurate with their discretion. The Web site also links to two important platforms for ongoing collaboration. The first is a protocols.io workshare platform for methodological coordination. Research groups currently undertaking wastewater surveillance for SARS-CoV-2 RNA are invited to share their protocols to help produce comparable results across geographies and time scales. Important details include, but are not limited to, the timing, frequency, location, and volume of sampling, relevant metadata, sample storage, means of concentration, extraction, and quantification of nucleic acids and observed processing recoveries. As previously mentioned, harmonization in the execution, or at a minimum, the reporting of relevant details, will greatly enhance the robustness of resulting data sets for analyzing transmission dynamics at various spatial and temporal levels. The second platform linked through the Web site is a Slack workspace for informal communication regarding COVID-19 WBE. The ongoing COVID-19 pandemic continues to evolve rapidly; therefore, any collaborative effort must include a platform for rapid communication. As we work to sample sewage in the midst of this pandemic, biosafety remains paramount. Beyond protocols for sample analysis, we encourage all interested parties to work together to ensure appropriate biosafety measures while conducting this important work. Additionally, we ask funding agencies and the wastewater industry to consider funding for collaborative research related to COVID-19 WBE. The ongoing COVID-19 pandemic requires engineers and scientists to collaborate with population-based scientists, including epidemiologists, mathematical modelers and public health agencies. A multidisciplinary approach on a global scale is required for timely and high impact results to help society. To that end, we have established the COVID-19 WBE Collaborative to facilitate such collaboration and we encourage all interested parties to join us.
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              Implementation of environmental surveillance for SARS-CoV-2 virus to support public health decisions: opportunities and challenges

              Analysing wastewater can be used to track infectious disease agents that are shed via stool and urine. Sewage surveillance of SARS-CoV-2 has been suggested as tool to determine the extent of COVID-19 in cities and serve as early warning for (re-)emergence of SARS-CoV-2 circulation in communities. The focus of this review is on the strength of evidence, opportunities and challenges for the application of sewage surveillance to inform public health decision making. Considerations for undertaking sampling programs are reviewed including sampling sites, strategies, sample transport, storage and quantification methods; together with the approach and evidence base for quantifying prevalence of infection from measured wastewater concentration. Published SARS-CoV-2 sewage surveillance studies (11 peer reviewed, and 10 pre-prints) were reviewed to demonstrate the current status of implementation to support public health decisions. Whilst being very promising, a number of areas were identified requiring additional research to further strengthen this approach and take full advantage of its potential. In particular, design of adequate sampling strategies, spatial and temporal resolution of sampling, sample storage, replicate sampling and analysis, controls for the molecular methods used for quantification of SARS-CoV-2 RNA in wastewater. The use of appropriate prevalence data and methods to correlate or even translate SARS-CoV-2 concentrations in wastewater to prevalence of virus shedders in the population is discussed.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Environment International
                Environment International
                Elsevier BV
                01604120
                February 2021
                February 2021
                : 147
                : 106331
                Article
                10.1016/j.envint.2020.106331
                33385925
                b6cbedf0-ec0e-4efb-aa23-d3a90778931a
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

                http://creativecommons.org/licenses/by/4.0/

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