Human Health Vulnerability to Climate Variability: The Cases of Cholera and Meningistis in Some Urban Areas of the Far North Region of Cameroon
Bibliographic record
Abstract
Vector-borne diseases and their incidence in the northern Cameroon particularly the Far North Region have been recurrent and are on the increase. This paper assesses the impact of climate variability on the health of the population of the Far North Region of Cameroon which is characterised by a tropical semi-arid climate in the vicinity of the Lake Chad. Secondary data sources (Epidemiologic, climatic, ecologic, socio-economic data), questionnaires, interviews and focus group discussions provided relevant data. The paper examines the relationship between the outbreak of diseases and variations in some climatic elements. It highlights the relationship that exists between the direct effects of climate variations and the development of vector-borne diseases and their effect on human health. The results reveal a strong positive correlation between changes in the climatic elements and the incidence of vector-borne diseases particularly cholera and meningitis. The study makes proposals on ways of militating against the impact of vector-borne diseases on human development in the region.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".