Children with disabilities in low-income countries
Bibliographic record
Abstract
Disability is a major public health concern worldwide and the situation for children with disabilities is even more serious. The present article will focus on the issue of children with disabilities in low-income countries. Approximately one-third of the world's disabled population is children and many of these disabling conditions are preventable. In Africa, one the foremost causes of disability is infectious and communicable disease; the incidence of these diseases have been greatly reduced or eliminated in higher income countries. Other causes include war, trauma, accidents, and congenital and noninfectious diseases. The recent HIV/AIDS epidemic has further contributed to the prevalence of disability because many people living with HIV develop different types of impairments and functional limitations. Community-based rehabilitation is one approach that has been used in many low-income countries and which often focuses on children and their families. The work of one organization providing community-based rehabilitation in Tanzania is highlighted. The experiences of the coauthors in their work in Tanzania provide some field examples. For those readers who would like to become involved in international health, opportunities for engagement are described, including short-and long-term volunteer service or research experiences.
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".