Education and Religious Beliefs: Supportive Determinants in the Understanding of Health Issues in Sub-Saharan Africa
Bibliographic record
Abstract
In the aftermath of the 1978 WHO conference where the Alma Ata Declaration on primary health care was issued, the Cameroonian government was striving to guarantee equity in health care by developing a policy targeting social justice and assurance of “health for all” by 2000s. From this, a research programme based on health in the urban milieu was conceived in 2000 to address the population’s state of health. The epidemiological and transversal study was carried out in April-May 2005 on children aged between 6 and 59 months in Yaoundé (Cameroon). The objectives of this study were to identify risk factors predisposing people to diarrheas in the city, to measure their prevalence, and ascertain their spatial distribution, all in a bid to evaluate the progress made in infant health since 1978. The microbiological analyses carried out revealed an average diarrhea prevalence rate of 14.4% (437 cases of diarrhea on the 3034 infants tested). Amongst many other factors, the level of education and the religious belief of the household head were seen to be associated with the occurrence of infants’ diarrhea. In addition, it was acknowledged that the level of diarrhea infection in the city varies considerably from one household to another.
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 | 0.002 | 0.010 |
| 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 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".