Exploring Associations Between WaSH-Related Health Outcomes and Terrorist Activities in the Sahel: A Scoping Review
Bibliographic record
Abstract
Objectives: The G5 Sahel countries have faced political instability and terrorist activities for over a decade. With the regional lack of water, sanitation and hygiene (WaSH), there is an increased risk of adverse health outcomes. This scoping review aims to document WaSH-related health outcomes associated with terrorist activities, identify gaps in the humanitarian and political response and propose actionable recommendations to address them. Methods: We followed the PRISMA standards, including literature from PubMed and Web of Science. Country-specific timeframes for terrorist activities were used. Results: Data was extracted from 54 out of 2,320 publications on 22 December 2023. While malnutrition and diarrheal diseases were frequently reported as health outcomes - consistent with inadequate WaSH services - the lack of studies directly linking these outcomes to terrorist activities is notable. Only one article explicitly established a direct link between health outcomes and terrorist activities. Conclusion: The scarcity of studies directly linking terrorist activities to health outcomes reveals a significant research gap and highlight the need for more focused investigations into the health impacts of political violence in the Sahel 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 | 0.007 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.012 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".