Bibliographic record
Abstract
PURPOSE: To discuss the effects of forced displacement on maternal and child health, highlight the major pitfalls in delivering humanitarian services to this vulnerable group, and underscore the need for multilayered interventions to improve health, protect rights, and reduce vulnerabilities during forced displacements. METHODS: A comprehensive literature search was undertaken from databases including Medline, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), EBSCOhost, Google Scholar, Scopus, and ProQuest. No restrictions were placed on geographical region, type, and year of publication. The key words used were displacement, children, women, health, challenges, disaster response, emergency medicine, terrorism, maladjustment, morbidity, disaster response, cultural sensitivity, and interventions. CONCLUSIONS: Forced displacement negatively affects maternal and child health. The key challenges during forced displacement include food insecurity, lack of shelter, unavailability of clean water and sanitation, poor infrastructure of healthcare services, unavailability of birth attendants and healthcare professionals to manage medical emergencies, inaccessibility to educational and training facilities, and lack of cultural sensitivity of humanitarian workers. The ultimate outcome of forced displacement is a sudden rise in maternal and child mortality and morbidity, maladjustment, psychological issues, altered familial roles, displaced parenting, and vulnerability to exploitation. In view of Bronfenbrenner's socio-ecological framework, multilayered interventions are proposed to improve maternal and child health during forced displacements. CLINICAL RELEVANCE: In view of the effects of forced displacement on maternal and child health and considering the major pitfalls in the delivery of humanitarian services to this vulnerable group, the proposed multilayered interventions can improve health, protect rights, and reduce vulnerabilities surrounding maternal and child health during forced displacements.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".