Impact of measles vaccination on clinical characteristics and outcomes in children in Ramadi, Iraq
Bibliographic record
Abstract
BACKGROUND Measles is a highly contagious disease that caused by a measles virus. While measles vaccination is highly effective in preventing the disease, those who are unvaccinated or have not completed the vaccine series are at significant risk. AIM To assess the clinical characteristics and outcomes of measles in vaccinated vs unvaccinated children in Ramadi city. METHODS Clinically confirmed cases of measles at Al-Ramadi Teaching Hospital for Maternity and Children, identified between June and December 2023, were enrolled in this prospective cohort study. The cases were divided into two groups (vaccinated and unvaccinated). The clinical characteristics and outcomes were compared between unvaccinated and vaccinated children. RESULTS Of 289 kids, there were 222 (76.8%) children under 5 years old, and 161 (55.7%) boys. Around 2/3rd children were unvaccinated. Besides, only 5 (4.9%) kids from the vaccinated group received three doses. Fever, maculopapular rashes, and cough were the most common manifestations. Unvaccinated children had higher rate of developing complications (pneumonia and diarrhea with P values 0.001 and 0.01 respectively), longer hospital admission period (P value = 0.008), and the need for respiratory care unit (RCU) admission comparing with the vaccinated children (4 cases for unvaccinated group vs 1 case for vaccinated group). CONCLUSION Unvaccinated kids were associated with more complications, longer admission hospital stays, and RCU admission. We recommend that public health directors utilize artificial intelligence tools to help control future measles epidemics.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".