ArticleThe American journal of tropical medicine and hygiene2023
Wastewater-Based Surveillance of Antimicrobial Resistance in Niger: An Exploratory Study.
Article in The American journal of tropical medicine and hygiene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Integration of poliovirus and enteropathogen sewage surveillance in Dhaka Bangladesh: a longitudinal surveillance study, June 2019-June 2020.The Lancet. Microbe · 2026Article
- Household wastewater as a sentinel for community-level antimicrobial resistance: a cross-sectional study in Gombe, Nigeria.Scientific reports · 2026Article
- The surveillance of antimicrobial resistance in wastewater from a one health perspective: A global scoping and temporal review (2014-2024).One health (Amsterdam, Netherlands) · 2025Article
- A Perspective on Wastewater and Environmental Surveillance as a Public Health Tool for Low- and Middle-Income Countries.Microorganisms · 2025Article
Corrections and comments
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Authors and funding
16 authors at 4 institutions in 2 countries.
Funding
Abstract
Wastewater-based surveillance is increasingly recognized as an important approach to monitoring population-level antimicrobial resistance (AMR). In this exploratory study, we examined the use of metagenomics to evaluate AMR using untreated wastewater samples routinely collected by the Niger national polio surveillance program. Forty-eight stored samples from two seasons each year over 4 years (2016-2019) in three regions were selected for inclusion in this study and processed using unbiased DNA deep sequencing. Normalized number of reads of genetic determinants for different antibiotic classes were compared over time, by season, and by location. Correlations in resistance were examined among classes. Changes in reads per million per year were demonstrated for several classes, including decreases over time in resistance determinants for phenicols (-3.3, 95% CI: -8.7 to -0.1, P = 0.029) and increases over time for aminocoumarins (3.8, 95% CI: 0.0 to 11.4, P = 0.043), fluoroquinolones (6.8, 95% CI: 0.0 to 20.5, P = 0.048), and beta-lactams (0.85, 95% CI: 0.1 to 1.7, P = 0.006). Sulfonamide resistance was higher in the post-rainy season compared with the dry season (5.2-fold change, 95% CI: 3.4 to 7.9, P < 0.001). No differences were detected when comparing other classes by season or by site for any antibiotic class. Positive correlations were identified in genetic determinants of resistance among several antibiotic classes. These results demonstrate the potential utility of leveraging existing wastewater sample collection in this setting for AMR surveillance.
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Registered trials
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