Protocol for Scoping Review of Mediators of Women’s Care-seeking Behaviour During Infectious Disease Outbreaks in Sub-sahara Africa (SSA)
Bibliographic record
Abstract
Abstract Globally, there continues to be a surge in infectious disease outbreaks. While old diseases are re-emerging, new ones are also emerging. This speed of emergence and re-emergence is accelerated by human development, changes in demographics, population, and the environment. We continue to see new patterns of disease infections from their natural hosts to humans, with pathogens now travelling beyond traditional vector areas and spreading to previously unaffected environments. Lessons from Ebola tell us that women and children will be disproportionately affected by infectious disease outbreaks. A mother’s health-seeking behaviour has direct implications for the health of her children and the entire family. The way women reach health decisions could be the deciding factor in whether they or their children live. The broad objective of this review of the literature is to explore, identify, and map gaps in the literature on factors resulting from infectious diseases outbreak that could impact women’s health care decision-making. The review will compare health-seeking behaviour in sub-Sahara Africa during outbreak and non-outbreak periods, to generate a comparative analysis of the health behaviour of women of reproductive age and factors impacting on their health-seeking behaviour when there is an outbreak versus no outbreak. It is anticipated to be of interest to sub-Saharan Africa governments, national and international policymakers, and researchers, seeking to expand their attention to mothers and their children’s needs in emergency preparedness.
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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 | 0.090 | 0.162 |
| Meta-epidemiology (narrow) | 0.005 | 0.008 |
| Meta-epidemiology (broad) | 0.013 | 0.014 |
| Bibliometrics | 0.019 | 0.017 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.011 | 0.009 |
| Insufficient payload (model declined to judge) | 0.235 | 0.037 |
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".