Bacteriological and physico-chemical characteristics of the bathing waters of Agroville Town: A case of Agnéby River and Moutcho River
Bibliographic record
Abstract
Background : The United Nations Sustainable Development Goals (SDG) aim to improve the health and well-being of the population, as well as the expansion of universal access to drinking water and sanitation by 2030. It is in this perspective that this study aimed to characterize the bathing waters of the rivers of Moutcho and those of Agneby in Agboville town.
 Materials and Methods:The methodology consisted of conducting eight water sampling campaigns during the twelve consecutive months from December 2017 to November 2018. On these samples, the classical physicochemical parameters were determined by electrochemical, and colourimetric methods and microbiological analysis was carried out by the membrane filtration technique.
 Results: The results showed a low level of chemical mineralization in these waters. River water was distinguished from the other by higher levels of turbidity, colour, sulphate, phosphate, sulphur, and phosphorus and low levels of conductivity, temperature, sodium, and magnesium. Microbiologically, the water of the Agnéby River was of 100% satisfactory quality as per the Ivorian standards. However, it was not in compliance with other international standards (Algerian, Canadian, American, WHO and European). The Moutcho River was more polluted than the Agnéby River and the water quality was inadequate for swimming.
 Conclusion: The waters of the Moucho and Agneby rivers were unsuitable for bathing. Health surveillance must be carried out continuously in these waters to preserve the health of the community.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".