Predictors of under Five Years Old Diarrhoeal Disease in Mataniko Informal Settlements in Solomon Islands
Bibliographic record
Abstract
BACKGROUND: Diarrhoea remains a serious health problem among children under five years (U5y) in the world. Though diarrhoea is a preventable disease, U5y are often at high risk to diarrhoea infection. OBJECTIVE: To determine the predictors of diarrhoeal disease among children U5y, in Mataniko informal settlements, in Honiara, Solomon Islands. METHODS: A prospective cross sectional study was conducted at three out of the six randomly selected Mataniko informal settlements situated along the Mataniko River corridor, in Honiara, Solomon Islands. Caregivers with children U5y were included in this study. A total of 205 caregivers being interviewed using a pre-tested survey questionnaire. Data were analyzed using descriptive statistics, followed by binary logistic regression to explore the relationship between the investigated variables. A p-value less than 0.05 was considered to be statistically significant. RESULTS: The results of this study showed that 45.9% of all caregivers had reported that their U5y children had suffered with at least one episode of diarrhoea within the last 2 weeks prior to the study. Age of children, number of U5y children per caregiver, and fortnightly income level below $1500 (SBD) were significantly associated with under-five diarrhoea (p<0.05). CONCLUSION: This study showed different factors which were associated with U5y diarrhoea in Solomon Islands. To address these exposures, relevant programmes and preventive strategies should be considered.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".