ArticlePLOS global public health2024
Wastewater metagenomics in Africa: Opportunities and challenges.
Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- TDKC (Target Distilled K-mer Classifier): Ultrafast and Memory-Efficient Sequence Classification for Target Pathogen Diagnostics.bioRxiv : the preprint server for biology · 2026Article
- Review
- Challenges in bioinformatics education courses organization.Biophysical reviews · 2025Review
- Correction: Wastewater metagenomics in Africa: Opportunities and challenges.PLOS global public health · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advent of metagenomics has dramatically expanded our understanding of microbial communities, particularly through the study of wastewater, which serves as a rich source of microbial data. In Africa, wastewater metagenomics presents unparalleled opportunities for public health monitoring, antimicrobial resistance (AMR) tracking, and the discovery of new microbial species and functions. Utilizing high-throughput sequencing (HTS) technologies, this method allows for direct analysis of nucleic acids from wastewater samples, providing a cost-effective and comprehensive approach for pathogen surveillance. The potential of wastewater metagenomics in Africa is vast. It can revolutionize public health monitoring by acting as an early warning system for infectious disease outbreaks, offering near real-time data to shape effective responses. This is especially critical in densely populated urban areas with poor sanitation, where the risk of disease spread is high. Moreover, this approach enables the detection of emerging pathogens and insights into environmental health. However, the implementation of wastewater metagenomics in Africa faces several challenges. These include variability in wastewater composition due to differing local customs, limited infrastructure for sequencing and data analysis, and a shortage of bioinformatics expertise. Socio-political and ethical issues also complicate data sharing and the equitable distribution of benefits. To overcome these challenges, there is a need to enhance capacity through collaborative training, infrastructural development, and international partnerships. Investing and sustaining local genomics and bioinformatics infrastructure and expertise is crucial. Moreover, establishing robust data governance frameworks and engaging communities are essential for leveraging metagenomics to advance scientific knowledge and deliver tangible health and economic benefits. With strategic planning and collaboration, Africa can harness the transformative potential of wastewater metagenomics to improve disease surveillance, combat AMR, and foster scientific innovation, contributing significantly to sustainable development and improved quality of life.
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.