Groundwater quality assessment for domestic purposes in Mpherembe, northwest of Mzimba district, Rural Malawi
Bibliographic record
Abstract
Abstract Access to potable water is a public health problem in Malawi. Knowledge of water quality can significantly reduce waterborne diseases amongst users. The present study examines the groundwater quality for domestic use in Mpherembe, northwest of Mzimba district rural Malawi. Ten (10) water samples were collected from various sources and subsequently tested for physio-chemical and microbiological parameters using standard methods. The results obtained were compared against the Malawi Bureau of Standards (MS 733:2005) and World Health Organization (WHO) guidelines for drinking water quality. The microbiological examination of water samples revealed the presence of E. coli bacteria (range 62-136cfu/100m), and high levels of turbidity (range 5.58–46.8 NTU) in wells. However, Magnesium hardness and Electrical Conductivity (EC) were recorded high in boreholes compared to wells. The presence of faecal matter and high mineral concentration in domestic water is a health risk when consumed prior to treatment. To ensure public health safety, interventions that focus on household water treatment such as chlorination are recommended in this study area.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".