Abstract:Wastewater-based epidemiology (WBE) is an unobtrusive method used to observe patterns in illicit drug use, poliovirus, and severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The pandemic and need for surveillance measures have led to the rapid acceleration of WBE research and development globally. With the infrastructure available to monitor SARS-CoV-2 from wastewater in 58 countries globally, there is potential to expand targets and applications for public health protection, such as other viral pat… Show more
“…In contrast to clinical surveillance, which only detects cases that seek treatment, WBS could reveal the community-level disease prevalence, including subclinical infections. 13 For example, based on wastewater data, the spread of COVID-19 has been shown to be much higher than it was according to clinical data. 14 Respiratory viruses, such as RSV, may cause mild symptoms, and these cases have not been clinically tested.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the virus may enter wastewater from both symptomatic and asymptomatic individuals, and wastewater-based surveillance (WBS) could provide a new way of monitoring RSV infections in the population. In contrast to clinical surveillance, which only detects cases that seek treatment, WBS could reveal the community-level disease prevalence, including subclinical infections . For example, based on wastewater data, the spread of COVID-19 has been shown to be much higher than it was according to clinical data .…”
The purpose of this study was to evaluate the potential
of wastewater-based
surveillance in the monitoring of epidemics at the national level
in Finland. The 2021–2022 respiratory syncytial virus epidemic
in Finland was analyzed from wastewater and the Finnish National Infectious
Diseases Register. The study was performed using 150 samples that
were collected monthly from May 2021 to July 2022 from ten wastewater
treatment plants that cover 40% of the Finnish population. Respiratory
syncytial virus detection in 24 h composite samples of influent wastewater
was performed using reverse-transcription quantitative polymerase
chain reaction (RT-qPCR). Respiratory syncytial virus wastewater data
were positively correlated with the National Infectious Diseases Register-based
sampling week incidence (correlation coefficient, CC min = 0.412,
max = 0.865) and the four-week cumulative incidence (CC min = 0.482,
max = 0.814), showing the potential of wastewater-based surveillance
in estimating the course of epidemics. When the register-based incidence
of respiratory syncytial virus was at least four cases/100,000 persons/sampling
week, it was detected in all wastewater samples. This study showed
that wastewater surveillance can be used to surveil respiratory syncytial
virus epidemics at the national level, and its potential in the surveillance
of other epidemics should be explored further.
“…In contrast to clinical surveillance, which only detects cases that seek treatment, WBS could reveal the community-level disease prevalence, including subclinical infections. 13 For example, based on wastewater data, the spread of COVID-19 has been shown to be much higher than it was according to clinical data. 14 Respiratory viruses, such as RSV, may cause mild symptoms, and these cases have not been clinically tested.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, the virus may enter wastewater from both symptomatic and asymptomatic individuals, and wastewater-based surveillance (WBS) could provide a new way of monitoring RSV infections in the population. In contrast to clinical surveillance, which only detects cases that seek treatment, WBS could reveal the community-level disease prevalence, including subclinical infections . For example, based on wastewater data, the spread of COVID-19 has been shown to be much higher than it was according to clinical data .…”
The purpose of this study was to evaluate the potential
of wastewater-based
surveillance in the monitoring of epidemics at the national level
in Finland. The 2021–2022 respiratory syncytial virus epidemic
in Finland was analyzed from wastewater and the Finnish National Infectious
Diseases Register. The study was performed using 150 samples that
were collected monthly from May 2021 to July 2022 from ten wastewater
treatment plants that cover 40% of the Finnish population. Respiratory
syncytial virus detection in 24 h composite samples of influent wastewater
was performed using reverse-transcription quantitative polymerase
chain reaction (RT-qPCR). Respiratory syncytial virus wastewater data
were positively correlated with the National Infectious Diseases Register-based
sampling week incidence (correlation coefficient, CC min = 0.412,
max = 0.865) and the four-week cumulative incidence (CC min = 0.482,
max = 0.814), showing the potential of wastewater-based surveillance
in estimating the course of epidemics. When the register-based incidence
of respiratory syncytial virus was at least four cases/100,000 persons/sampling
week, it was detected in all wastewater samples. This study showed
that wastewater surveillance can be used to surveil respiratory syncytial
virus epidemics at the national level, and its potential in the surveillance
of other epidemics should be explored further.
“…In developing countries, structural challenges such as low number of wastewater treatment facilities, low service levels or non-functionality of plants and absent or limited testing resources stand in the way of WBE implementation [10]. Challenges shared with developed countries such as uncertainty regarding how to integrate WBE findings into existing surveillance programmes [11] and how to interpret WBE results with regard to actionable thresholds [12], have most likely contributed to reluctance to invest in WBE surveillance programmes. maximise coverage across metros and sentinel sites in provinces with smaller populations.…”
Background: The World Health Organisation recommends wastewater based epidemiology (WBE) for SARS-CoV-2 as a complementary tool for monitoring population-level epidemiological features of the COVID-19 pandemic. Yet, uptake of WBE in low-to-middle income countries (LMIC) is low. We report on findings from SARS-CoV-2 WBE surveillance network in South Africa, and make recommendations regarding implementation of WBE in LMICs Methods: Seven laboratories using different test methodology, quantified influent wastewater collected from 87 wastewater treatment plants (WWTPs) located in all nine South African provinces for SARS-CoV-2 from 01 June 2021 to 31 May 2022 inclusive, during the 3rd and 4th waves of COVID-19. Regression analysis with district laboratory confirmed SARS-CoV-2 case loads, controlling for district, size of plant and testing frequency was determined. The sensitivity and specificity of rules based on WBE data to predict an epidemic wave based on SARS-CoV-2 wastewater levels were determined. Results: Among 2158 wastewater samples, 543/648 (85%) samples taken during a wave tested positive for SARS-CoV-2 compared with 842 positive tests from 1512 (55%) samples taken during the interwave period. Overall, the regression-co-efficient was 0,66 (95% confidence interval=0,6-0,72, R squared=0.59), but ranged from 0.14 to 0.87 by testing laboratory. Early warning of the 4th wave of SARS-CoV-2 in Gauteng Province in November-December 2021 was demonstrated. A 50% increase in log-copies SARS-CoV-2 compared with a rolling mean over the previous 5 weeks was the most sensitive predictive rule (58%) to predict a new wave. Conclusion: Variation in the strength of correlation across testing laboratories, and redundancy of findings across co-located testing plants, suggests that test methodology should be standardised and that surveillance networks may utilise a sentinel site model without compromising the value of WBE findings for public health decision-making. Further research is needed to identify optimal test frequency and the need for normalisation to population size, so as to identify predictive and interpretive rules to support early warning and public health action. Our findings support investment in WBE for SARS-CoV-2 surveillance in low and middle-income countries.
“…Thus, wastewater-based surveillance (WBS) could be used to monitor RSV infections in the population. In contrast to clinical surveillance, which only detects cases that seek treatment, WBS could reveal the community-level disease prevalence, including subclinical infections (Robins et al, 2022). For example, based on wastewater data, the spread of COVID-19 has been shown to be much higher than it was according to clinical data (Wu et al, 2020).…”
The purpose of this study was to evaluate the potential of wastewater-based surveillance in the monitoring of epidemics at the national level in Finland. To discover the correlation of wastewater data and register data, the 2021—2022 respiratory syncytial virus (RSV) epidemic in Finland was analyzed from wastewater and the Finnish National Infectious Diseases Register. The study was performed using samples that were collected monthly from May 2021 to July 2022 from ten wastewater treatment plants that cover 40% of the Finnish population. Respiratory syncytial virus detection in 24-h composite samples of influent wastewater was performed using RT-qPCR. Respiratory syncytial virus wastewater data were positively correlated with the National Infectious Diseases Register data for the sampling week (correlation coefficient, CC min = 0.412, max = 0.865). Furthermore, the cumulative incidence of respiratory syncytial virus from the sampling week to three weeks afterward was strongly correlated with the wastewater data (CC min = 0.482, max = 0.814), showing the potential of wastewater-based surveillance for use in estimating the course of the epidemic. When the register-based incidence of RSV was at least four cases/100,000 persons/week in the sampling week, it was detected in all wastewater samples. This study showed that wastewater surveillance is useful in the surveillance of respiratory syncytial virus epidemics, and its potential in the surveillance of other epidemics should be explored further.
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