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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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. |