Gender and exposure pathways to zoonotic infections in communities at the interface of wildlife conservation areas of Uganda: A qualitative study
Bibliographic record
Abstract
The changing climate and increasingly frequent environmental shocks are creating new pressures on land use and intensifying inter-species contact that might foster zoonotic disease transmission. In areas where there are complex interactions between wild/domestic animals and humans, preventing and managing zoonotic infections requires an integrated One Health approach based on interdisciplinary and multisectoral collaboration. We used a One Health approach to investigate how potential zoonotic disease exposures might be gendered based on sociocultural norms. In six conservation areas in Uganda, we focused on three zoonoses: Rift Valley Fever, Brucellosis and Crimean-Congo Haemorrhagic Fever. We conducted in-depth interviews and focus group discussions with 379 purposively selected participants. Interviews/discussions were audio recorded, transcribed, coded and analysed thematically. In all areas, women and girls were responsible for household-related work while men and boys cared for larger livestock outside of the home, with some regional variations in roles. Location-specific cultural norms differentially impacted women's and men's exposures, including male initiation rituals involving consuming raw meat and animal blood reported in one study area. The different activities performed by women and men lead to differential risks of infection, suggesting that gender-sensitive interventions are required to address the risks faced by people living in these settings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".