Wastewater-based epidemiology: A Brazilian SARS-COV-2 surveillance experience

Bueno, Rodrigo de Freitas; Claro, Ieda Carolina Mantovani; Augusto, Matheus Ribeiro; Duran, Adriana Feliciano Alves; Camillo, Lívia de Moraes Bomediano; Cabral, Aline Diniz; Sodré, Fernando Fabriz; Brandão, Cristina Célia Silveira; Vizzotto, Carla Simone; Silveira, Rafaella; Mendes, Geovana de Melo; Arruda, Andréa F.; Brito, Núbia Natália de; Machado, Bruna Aparecida Souza; Duarte, Gabriela Rodrigues Mendes; Oliveira, Maria de Lourdes Aguiar

doi:10.1016/j.jece.2022.108298

Cited by 26 publications

(14 citation statements)

References 65 publications

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“…We reported the SARS-CoV-2 viral amount in wastewater as concentration, viral gene copies per litre, and were able to show that the viral concentration is directly correlated with the reported number of infections. Other studies reported their data as concentration [ 34 , 36 , 37 , 38 ], and some even demonstrated that the normalization of clinical data using wastewater flow rate and percentage of sanitary flow did not significantly improve the correlation between the SARS-CoV-2 concentrations in wastewater and COVID-19 clinical cases in communities during the study period [ 33 , 39 ].…”

Section: Discussionmentioning

confidence: 99%

Anthropogenic Sewage Water Circuit as Vector for SARS-CoV-2 Viral ARN Transport and Public Health Assessment, Monitoring and Forecasting—Sibiu Metropolitan Area (Transylvania/Romania) Study Case

Boeraș

Curtean–Bănăduc

Bănăduc

et al. 2022

IJERPH

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Water is a risk factor for epidemics of waterborne diseases with effects on human health. In 2019, new viral pneumonia cases occurred in China and spread worldwide. The aim of this study was to assess the feasibility and accuracy of a wastewater-based epidemiological (WBE) monitoring tool in a SARS-CoV-2 hot spot (Sibiu City metropolitan area), namely to highlight the correlation between the number of infections on the days of sampling and the amount of viral RNA detected in wastewater. Wastewater samples were collected once a week, and viral RNA was extracted and quantified. In parallel, the daily number of SARS-CoV-2 infections was obtained from the local council. The correlation between the number of infections and viruses detected in sewage was measured by Pearson correlation coefficients. The results show the amount of viral RNA in the wastewater is directly correlated with the number of infections reported in the week up to the sampling day and also the number of infections reported for the sampling day. Moreover, correlation coefficients show the amount of viral RNA in wastewater increases in advance of the increase in reported infection cases. Therefore, WBE can be used as a tool for monitoring virus spread trends in human communities and can help anticipate the trend of this type of viral infection.

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Section: Discussionmentioning

confidence: 99%

Anthropogenic Sewage Water Circuit as Vector for SARS-CoV-2 Viral ARN Transport and Public Health Assessment, Monitoring and Forecasting—Sibiu Metropolitan Area (Transylvania/Romania) Study Case

Boeraș

Curtean–Bănăduc

Bănăduc

et al. 2022

IJERPH

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“…Moreover, 88.2 µL of the 1:10000 dilution is added to 10 mL of wastewater to result in 300 cp/mL of wastewater. Given the wide range of concentrations of SARS-CoV-2 present in wastewater samples, shown by other studies [36] – [38] , we are aiming to show the capability of our method across this wide range of concentrations. After spiking, the samples were vortexed for 1 minute and then kept at 4℃ for at least 30 minutes before starting the manual/automated process.…”

Section: Methodsmentioning

confidence: 99%

Improving wastewater-based epidemiology performance through streamlined automation

Banadaki

Torabi

Strike

et al. 2023

Journal of Environmental Chemical Engineering

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“…Background: During the 2020 pandemic, several Brazilian cities started health surveillance projects using Wastewater Based Epidemiology (WBE) to identify the spread of COVID-19 [1], [2] following successful methods applied in other countries such as Spain [3], Holland [4], Israel [5], and Japan [6] . The literature that seeks to adopt WBE results to build Machine Learning (ML) predictive models reports that it is necessary to apply an intermediate data processing step due to limitations of available data.…”

Section: Objectivesmentioning

confidence: 99%

WBE joins AI: improving WBE protocols to support the construction of predictive ML models

Bonifácio¹,

Krempser

Pedroso

et al. 2023

Preprint

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Wastewater Based Epidemiology (WBE) supports sanitary surveillance enablingan early identification of viral spread. The procedure involves the genome copy(GC) of SARS-CoV-2 capture from sewage samples infected by symptomatic andasymptomatic people. During the pandemic of COVID-19 in Brazil(2020/2021)the WBE studies followed different guidelines still incipient, revealinglow concern for a common agreed-upon procedure. As a result, when compilingthe available WBE data for the training of Artificial Intelligence (AI) models forCOVID-19 number of cases prediction, we found few quantity, obtained throughdifferent adopted procedures and difficult to co-related to extra information. Thelack of a common WBE procedure makes it hard to build useful predictiveMachine Learning (ML) models. In this context, guidelines that link ML andWBE are explored here. We aim at raising an alert highlighting the relevance onthe design of useful strategies to join WBE and IA. The proposal aims atstandardization and consistency without any detriment to the initial objective ofsurveillance. The approach includes processes related to: the definition of samplecollection approach, sampling frequency, related information, physical andtemporal sample characteristics, laboratory methods for genes amplification anddetection and results dissemination.

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Wastewater-based epidemiology: A Brazilian SARS-COV-2 surveillance experience

Cited by 26 publications

References 65 publications

Anthropogenic Sewage Water Circuit as Vector for SARS-CoV-2 Viral ARN Transport and Public Health Assessment, Monitoring and Forecasting—Sibiu Metropolitan Area (Transylvania/Romania) Study Case

Anthropogenic Sewage Water Circuit as Vector for SARS-CoV-2 Viral ARN Transport and Public Health Assessment, Monitoring and Forecasting—Sibiu Metropolitan Area (Transylvania/Romania) Study Case

Improving wastewater-based epidemiology performance through streamlined automation

WBE joins AI: improving WBE protocols to support the construction of predictive ML models

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