Longitudinal wastewater-based surveillance of SARS-CoV-2 during 2023 in Ethiopia

IntroductionAlthough wastewater-based epidemiology (WBE) successfully functioned as a tool for monitoring the coronavirus disease 2019 (COVID-19) pandemic globally, relatively little is known about its utility in low-income countries. This study aimed to quantify severe acute respiratory syndrome co...

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Main Authors: Daniel Abera Dinssa (Author), Gebremedhin Gebremicael (Author), Yohannes Mengistu (Author), Noah C. Hull (Author), Dinknesh Chalchisa (Author), Girma Berhanu (Author), Atsbeha Gebreegziabxier (Author), Ashley Norberg (Author), Sarah Snyder (Author), Sarah Wright (Author), Waktole Gobena (Author), Adugna Abera (Author), Yohannes Belay (Author), Dawit Chala (Author), Melaku Gizaw (Author), Mesay Getachew (Author), Kirubel Tesfaye (Author), Mesfin Tefera (Author), Mahlet Belachew (Author), Tegegne Mulu (Author), Solomon Ali (Author), Abebaw Kebede (Author), Daniel Melese (Author), Saro Abdella (Author), Tobias F. Rinke de Wit (Author), Yenew Kebede (Author), Mesay Hailu (Author), Dawit Wolday (Author), Masresha Tessema (Author), Getachew Tollera (Author)
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Published: Frontiers Media S.A., 2024-10-01T00:00:00Z.
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100 1 0 |a Daniel Abera Dinssa  |e author 
700 1 0 |a Gebremedhin Gebremicael  |e author 
700 1 0 |a Yohannes Mengistu  |e author 
700 1 0 |a Noah C. Hull  |e author 
700 1 0 |a Dinknesh Chalchisa  |e author 
700 1 0 |a Girma Berhanu  |e author 
700 1 0 |a Atsbeha Gebreegziabxier  |e author 
700 1 0 |a Ashley Norberg  |e author 
700 1 0 |a Sarah Snyder  |e author 
700 1 0 |a Sarah Wright  |e author 
700 1 0 |a Waktole Gobena  |e author 
700 1 0 |a Adugna Abera  |e author 
700 1 0 |a Yohannes Belay  |e author 
700 1 0 |a Dawit Chala  |e author 
700 1 0 |a Melaku Gizaw  |e author 
700 1 0 |a Mesay Getachew  |e author 
700 1 0 |a Kirubel Tesfaye  |e author 
700 1 0 |a Mesfin Tefera  |e author 
700 1 0 |a Mahlet Belachew  |e author 
700 1 0 |a Tegegne Mulu  |e author 
700 1 0 |a Solomon Ali  |e author 
700 1 0 |a Abebaw Kebede  |e author 
700 1 0 |a Daniel Melese  |e author 
700 1 0 |a Saro Abdella  |e author 
700 1 0 |a Tobias F. Rinke de Wit  |e author 
700 1 0 |a Yenew Kebede  |e author 
700 1 0 |a Mesay Hailu  |e author 
700 1 0 |a Dawit Wolday  |e author 
700 1 0 |a Masresha Tessema  |e author 
700 1 0 |a Getachew Tollera  |e author 
245 0 0 |a Longitudinal wastewater-based surveillance of SARS-CoV-2 during 2023 in Ethiopia 
260 |b Frontiers Media S.A.,   |c 2024-10-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2024.1394798 
520 |a IntroductionAlthough wastewater-based epidemiology (WBE) successfully functioned as a tool for monitoring the coronavirus disease 2019 (COVID-19) pandemic globally, relatively little is known about its utility in low-income countries. This study aimed to quantify severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in wastewater, estimate the number of infected individuals in the catchment areas, and correlate the results with the clinically reported COVID-19 cases in Addis Ababa, Ethiopia.MethodsA total of 323 influent and 33 effluent wastewater samples were collected from three Wastewater Treatment Plants (WWTPs) using a 24-h composite Moore swab sampling method from February to November 2023. The virus was captured using Ceres Nanotrap® Enhancement Reagent 2 and Nanotrap® Microbiome A Particles, and then nucleic acids were extracted using the Qiagen QIAamp Viral RNA Mini Kit. The ThermoFisher TaqPath™ COVID-19 kit was applied to perform real-time reverse transcriptase polymerase chain reaction (qRT-PCR) to quantify the SARS-CoV-2 RNA. Wastewater viral concentrations were normalized using flow rate and number of people served. In the sampling period, spearman correlation was used to compare the SARS-CoV-2 target gene concentration to the reported COVID-19 cases. The numbers of infected individuals under each treatment plant were calculated considering the target genes' concentration, the flow rate of treatment plants, a gram of feces per person-day, and RNA copies per gram of feces.ResultsSARS-CoV-2 was detected in 94% of untreated wastewater samples. All effluent wastewater samples (n = 22) from the upflow anaerobic sludge blanket (UASB) reactor and membrane bioreactor (MBR) technology were SARS-COV-2 RNA negative. In contrast, two out of 11 effluents from Waste Stabilization Pond were found positive. Positive correlations were observed between the weekly average SARS-CoV-2 concentration and the cumulative weekly reported COVID-19 cases in Addis Ababa. The estimated number of infected people in the Kality Treatment catchment area was 330 times the number of COVID-19 cases reported during the study period in Addis Ababa.DiscussionThis study revealed that SARS-CoV-2 was circulating in the community and confirmed previous reports of more asymptomatic COVID-19 cases in Ethiopia. Additionally, this study provides further evidence of the importance of wastewater-based surveillance in general to monitor infectious diseases in low-income settings.ConclusionWastewater-based surveillance of SARS-CoV-2 can be a useful method for tracking the increment of COVID-19 cases before it spreads widely throughout the community. 
546 |a EN 
690 |a COVID-19 
690 |a SARS-CoV-2 
690 |a qRT-qPCR 
690 |a wastewater treatment plants 
690 |a wastewater-based epidemiology 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 12 (2024) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2024.1394798/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/e4e4ba43d050458b88eab3f8f04e004c  |z Connect to this object online.