Evidence map›Paper›PMID 39435409›Full record

ArticleFrontiers in public health2024

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

Daniel Abera Dinssa, Gebremedhin Gebremicael, Yohannes Mengistu, Noah C Hull, Dinknesh Chalchisa, Girma Berhanu, Atsbeha Gebreegziabxier, Ashley Norberg, Sarah Snyder, Sarah Wright and 20 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Environmental surveillance of pathogens in Africa.Applied and environmental microbiology · 2026
    Review
  3. Article
  4. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

30 authors.

Daniel Abera Dinssa *Ethiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Gebremedhin Gebremicael *Ethiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Yohannes MengistuGlobal Health, The Association of Public Health Laboratories (APHL), Addis Ababa, Ethiopia.
Noah C HullGlobal Health and Environmental Health, The APHL, Bethesda, MD, United States.
Dinknesh ChalchisaEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Girma BerhanuEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Atsbeha GebreegziabxierEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Ashley NorbergGlobal Health and Environmental Health, The APHL, Bethesda, MD, United States.
Sarah SnyderGlobal Health and Environmental Health, The APHL, Bethesda, MD, United States.
Sarah WrightEnvironmental Health, The APHL, Bethesda, MD, United States.
Waktole GobenaEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Adugna AberaEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Yohannes BelayEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Dawit ChalaEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Melaku GizawEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Mesay GetachewEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Kirubel TesfayeEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Mesfin TeferaEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Mahlet BelachewEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Tegegne MuluEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Solomon AliDepartment of Microbiology, Immunology and Parasitology, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Abebaw KebedeAfrica Centres for Disease Control and Prevention (Africa CDC), Surveillance and Disease Intelligence Division, Addis Ababa, Ethiopia.
Daniel MeleseEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Saro AbdellaEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Tobias F Rinke de WitAmsterdam Institute of Global Health and Development, Department of Global Health, Amsterdam University Medical Center, Amsterdam, Netherlands.
Yenew KebedeAfrica Centres for Disease Control and Prevention (Africa CDC), Surveillance and Disease Intelligence Division, Addis Ababa, Ethiopia.
Mesay HailuEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Dawit WoldayDepartment of Biochemistry and Biomedical Sciences, Michael G. DeGroote Institute for Infectious Diseases Research and McMaster Immunology Research Center, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.
Masresha TessemaEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.
Getachew TolleraEthiopian Public Health Institute (EPHI), Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although 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. Methods: A 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. Results: SARS-CoV-2 was detected in 94% of untreated wastewater samples. All effluent wastewater samples ( Discussion: This 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. Conclusion: Wastewater-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.

Indexed as

COVID-19RNA, ViralSARS-CoV-2WastewaterEthiopiaHumansLongitudinal StudiesWastewater-Based Epidemiological MonitoringRNA, ViralWastewaterCOVID-19qRT-qPCRSARS-CoV-2wastewater-based epidemiologywastewater treatment plants

Identifiers

PMID39435409
PMCPMC11491403

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.