CARE SEEKING PRACTICES ON DIARRHOEA IN A RURAL COMMUNITY IN NIGERIA
Bibliographic record
Abstract
Although diarrhoea is a preventable disease, it still remains a major cause of morbidity and mortality among Nigeria children. A Nigerian child under age of five has an average of 4.3 diarrhoea episodes each year. The transfer to 70 million episodes of diarrhoea in children under five, based on the 1991 census. With case fatality rate of 0.4% (1), Nigeria records 300,000 diarrhoea related deaths each year in children under five years of age. This community survey was conducted in the south west of Irepodun Local Government Area of Kwara state, Nigeria, to enable us determine care-seeking and diarrhoea management practices in a typical rural setting. Four thousand and sixty one (4,061) children under five year of age from nine villages were studied using the standard WHO questionnaire on diarrhoea case management and morbidity. The survey focused mainly on children who had diarrhoea in the 24-hour period prior to the study. Of the 4061 children who were 5 years or below, 876(21.6%) had diarrhoea two weeks prior to the study. There were 207 children (5.1%) who had diarrhoea within 24 hours prior to the study. The rate of use of salt sugar solution (SSS) was 16%, while that of oral rehydration salt (ORS) was 6%. Seventy three percent of mothers interviewed did nothing for the treatment of diarrhoea, nor understood what to do. 16% used various drugs. 69% of the health facilities in these rural districts used antibiotics as their first line anti-diarrhoea treatment. Health education on oral rehydration therapy (ORT) needs to be intensified at the grassroots level. Keywords: Diarrhoea, Children, Care, Rural African Journal Of Clinical And Experimental Microbiology Jan 2004 Vol.5 No.1 119-125
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 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".