ArticleScientific reports2026
Effects of acid mine drainage from collapsed tailings dam on Zambia's human riparian communities: a fuzzy cognitive model perspective.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acid Mine Drainage (AMD) is a major global environmental and public health concern, particularly in mining areas. Following the collapse of the tailings dam at Sino Metals Leach Limited Mine in Zambia's Copperbelt Province and the subsequent discharge of mining effluents into the Mwambashi River, a cross-sectional study was conducted to assess the impacts on adjoining human riparian communities. Using the Mentor Modeler software for Fuzzy Cognitive Mapping (FCM), we analysed and predicted the socio-ecological effects of AMD on the communities living adjacent to riparian areas. The study revealed that AMD and the consequent decline in water quality triggered a cascade of adverse socio-economic and health impacts among the communities living adjacent to riparian areas. Understanding the FCMs in emergencies related to such impacts is crucial for targeted interventions, particularly in data-limited environments. These insights can inform more effective allocation of limited financial and technical resources, enhance decision-making by the authorities, and support the development of community-based strategies to empower affected communities and mitigate or prevent future AMD-related disasters.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.