Understanding the dynamic relation between wastewater SARS-CoV-2 signal and clinical metrics throughout the pandemic

Hegazy, Nada; Cowan, Aaron; D’Aoust, Patrick M.; Mercier, Élisabeth; Towhid, Syeda Tasneem; Jia, Jianjun; Wan, Shungang; Zhang, Zhihao; Kabir, Md Pervez; Fang, Wanting; Graber, Tyson E.; MacKenzie, Alex; Guilherme, Stéphanie; Delatolla, Robert

doi:10.1016/j.scitotenv.2022.158458

Cited by 37 publications

(19 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An analysis of these clusters revealed that cluster #0 “electrochemical biosensors” mainly focused on the development of novel electrochemical immunosensors and aptasensors for rapid antigen tests [ 34 , 41 ]. Cluster #1 “humidity” focused on wastewater surveillance and risk assessment for the community-wide monitoring of COVID-19 disease incidence [ 42 , 43 ]. Cluster #2 “saliva” was related to detection of SARS-CoV-2 using saliva as a specimen [ 14 , 33 ].…”

Section: Resultsmentioning

confidence: 99%

Saliva-based detection of SARS-CoV-2: a bibliometric analysis of global research

et al. 2023

View full text Add to dashboard Cite

Saliva has emerged as a promising noninvasive biofluid for the diagnosis of oral and systemic diseases, including viral infections. During the coronavirus disease 2019 (COVID-19) pandemic, a growing number of studies focused on saliva-based detection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Taking advantage of the WoS core collection (WoSCC) and CiteSpace, we retrieved 1021 articles related to saliva-based detection of SARS-CoV-2 and conducted a comprehensive bibliometric analysis. We analyzed countries, institutions, authors, cited authors, and cited journals to summarize their contribution and influence and analyzed keywords to explore research hotspots and trends. From 2020 to 2021, research focused on viral transmission via saliva and verification of saliva as a reliable specimen, whereas from 2021 to the present, the focus of research has switched to saliva-based biosensors for SARS-CoV-2 detection. By far, saliva has been verified as a reliable specimen for SARS-CoV-2 detection, although a standardized procedure for saliva sampling and processing is needed. Studies on saliva-based detection of SARS-CoV-2 will promote the development of saliva-based diagnostics and biosensors for viral detection. Collectively, our findings could provide valuable information to help scientists perceive the basic knowledge landscapes on saliva-based detection of SARS-CoV-2, the past and current research hotspots, and future opportunities.

show abstract

Section: Resultsmentioning

confidence: 99%

Saliva-based detection of SARS-CoV-2: a bibliometric analysis of global research

et al. 2023

View full text Add to dashboard Cite

show abstract

“…Wastewater-based epidemiology has successfully been used to detect the spread of SARS-CoV-2 by quantifying viral RNA levels in wastewater over time 6,3,7,8 . Wastewater-focused surveillance programs have previously been implemented on university buildings and dormitories, and have been shown to be a successful proactive tool for outbreak monitoring on university campuses 9,10 .…”

Section: Introductionmentioning

confidence: 99%

Predicting COVID-19 cases across a large university campus using complementary built environment and wastewater surveillance approaches

Hinz,

Moggridge,

et al. 2024

Preprint

View full text Add to dashboard Cite

BackgroundEnvironmental surveillance of SARS-CoV-2 via wastewater has become an invaluable tool for population-level surveillance. Built environment sampling may provide complementary spatially-refined detection for viral surveillance in congregate settings such as universities.MethodsWe conducted a prospective environmental surveillance study at the University of Ottawa between September 2021 and April 2022. Floor surface samples were collected twice weekly from six university buildings. Samples were analyzed for the presence of SARS-CoV-2 using RT-qPCR. A Poisson regression was used to model the campus-wide COVID-19 cases predicted from the fraction of floor swabs positive for SARS-CoV-2 RNA, building CO2levels, Wi-Fi usage, and SARS-CoV-2 RNA levels in regional wastewater. We used a mixed-effects Poisson regression analysis to model building-level cases using viral copies detected in floor samples as a predictor. A random intercepts logistic regression model tested whether floor samples collected in high-traffic areas were more likely to have SARS-CoV-2 present than low-traffic areas.ResultsOver the 32-week study period, we collected 554 floor swabs at six university buildings. Overall, 13% of swabs were PCR-positive for SARS-CoV-2, with positivity ranging between 4.8% and 32.7% among university buildings. Both floor swab positivity (Spearman r = 0.74, 95% CI: 0.53-0.87) and regional wastewater signal (Spearman r = 0.50, 95% CI: 0.18-0.73) were positively correlated with on-campus COVID-19 cases. In addition, built environment detection was a predictor of cases linked to individual university buildings (IRlog10(copies) + 1= 17, 95% CI: 7-44). There was no significant difference in detection between floors sampled in high-traffic versus low-traffic areas (OR = 1.3, 95% CI: 0.8-2.1).ConclusionsDetection of SARS-CoV-2 RNA on floors and viral RNA levels found in wastewater were strongly associated with the incidence of COVID-19 cases on a university campus. These data suggest a potential role for institutional built environment sampling, used together with wastewater surveillance, for predicting COVID-19 cases at both campus-wide and building level scales.

show abstract

“…In the light of this, wastewater-based surveillance (WBS) has been described as a potential tool that could be adapted for this purpose. Indeed, WBS has proven transformative in understanding the COVID-19 pandemic (Acosta et al 2021; Acosta et al 2022; Acosta et al 2023; Peccia et al 2020; Randazzo et al 2020; Miyani et al 2021; Zhu et al 2021; Xiao et al 2021; Zhan et al 2022; Galani et al 2022; Hegazy et al 2022; Hubert et al 2022). WBS’s major advantage is its ability to objectively monitor entire populations passively and comprehensively, making it accurate, inclusive and cost-effective (Choi 2020; Sims and Kasprzyk-Hordern 2020).…”

Section: Introductionmentioning

confidence: 99%

Metagenomic analysis after selective culture enrichment of wastewater demonstrates increased burden of antibiotic resistant genes in hospitals relative to the community

Acosta

Lee

Bautista

et al. 2023

Preprint

View full text Add to dashboard Cite

Antimicrobial resistance (AMR) is an ever-increasing threat to global health. Wastewater-based surveillance is an emerging methodology that objectively enables an inclusive and comprehensive assessment of population AMR in an observed sewershed. Here we compared the resistome of two tertiary-care hospitals with two separate neighborhoods, using complimentary targeted qPCR and metagenomics of wastewater before and after selective culture enrichment for clinically important Gram negatives. In total 26 ARG-type (1225 ARG-subtypes) were found across all samples, in which beta-lactam ARG was the richest (the number of different ARG-subtypes found) followed by multidrug, fluoroquinolone, macrolide-lincosamide-streptogramin (MLS) and aminoglycoside. The composition of ARGs in wastewater differed between raw wastewater pellets and culture-enriched wastewater samples and the resistomes clustered based on the type of location (Hospitals vs neighborhoods). Hospital wastewater was found to have higher diversity and greater abundance of ARGs compared to neighborhood wastewater when the composition profiles of ARGs in both raw and culture-enriched wastewater pellets. Clinically relevant ARG (i.e., VIM, NDM metallo-beta-lactamases) were detected in culture enrichment samples that were not identified in raw samples, despite a lower targeted sequencing depth. Wastewater-based surveillance is an effective, and potentially extremely important and powerful tool that could be developed to augment hospital-based infection control and antimicrobial stewardship programs, creating a safer space for those receiving care.

show abstract

Understanding the dynamic relation between wastewater SARS-CoV-2 signal and clinical metrics throughout the pandemic

Cited by 37 publications

References 56 publications

Saliva-based detection of SARS-CoV-2: a bibliometric analysis of global research

Saliva-based detection of SARS-CoV-2: a bibliometric analysis of global research

Predicting COVID-19 cases across a large university campus using complementary built environment and wastewater surveillance approaches

Metagenomic analysis after selective culture enrichment of wastewater demonstrates increased burden of antibiotic resistant genes in hospitals relative to the community

Contact Info

Product

Resources

About