Effectiveness of Monovalent Rotavirus Vaccine After Programmatic Implementation in Botswana: A Multisite Prospective Case-Control Study
Bibliographic record
Abstract
BACKGROUND: Botswana introduced monovalent G1P rotavirus vaccine (RV1) in July 2012, providing one of the first opportunities to assess the effectiveness of routine RV1 vaccination in a high-burden setting in Africa. We sought to determine the effectiveness of RV1 against rotavirus diarrhea hospitalization using a case-control evaluation. METHODS: Vaccine age-eligible children <5 years of age admitted with diarrhea at 4 hospitals in Botswana were enrolled from June 2013 to April 2015. Card-confirmed vaccine history was compared between case patients (children with laboratory-confirmed rotavirus diarrhea) and nonrotavirus "test-negative" diarrhea controls. Vaccine effectiveness (VE) was computed using unconditional logistic regression models adjusting for age, birth month/year, and hospital. Sequence-based genotyping was performed on antigen-positive samples. RESULTS: Among 242 case patients and 368 controls, 82% (199/242) and 92% (339/368), respectively, had received ≥1 doses of RV1. Effectiveness of a full series (2 doses) of RV1 against rotavirus diarrhea requiring hospitalization was 54% (95% confidence interval [CI], 23%-73%); 1 dose of RV1 was 48% (95% CI, 1%-72%) effective. Effectiveness was 59% (95% CI, 4%-83%) against rotavirus caused by G2P, the most common (37%) circulating genotype. However, the effectiveness of 2 RV1 doses was significantly higher in children with no undernutrition (VE, 75% [95% CI, 41%-89%]), compared to those with moderate or severe undernutrition (VE, -28% [95% CI, -309% to 60%]) (P= .02). CONCLUSIONS: Routine RV1 vaccination in Botswana showed effectiveness similar to that in clinical trials in Africa, including against a serotype fully heterotypic to the vaccine. Undernutrition may in part explain the lower rotavirus VE in low-income settings.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".