Factors Associated with Chikungunya Relapse in Acapulco, Mexico: A Cross-Sectional Study
Bibliographic record
Abstract
Objective: To estimate the occurrence of self-reported chikungunya relapse and identify associated factors. Materials and Methods: A cross-sectional study in December 2015 included 1305 homes in eight urban clusters considered representative of Acapulco in southern Mexico. Administered questionnaires collated information on 5870 individuals, including sociodemographic variables, a history of chronic conditions, and the self-reporting of chikungunya. Bivariate and multivariate analyses relied on a cluster-adjusted Mantel–Haenszel procedure to identify the factors associated with chikungunya and its relapse. Results: Some 66% (3531/5870) of the population reported suffering chikungunya and 31.1% (1098/3531) reported a relapse. Factors associated with relapse included the severity of the chikungunya case (odds ratio [OR]: 3.35; clusters adjusted 95% confidence interval [95% CIca]: 3.16–3.55); history of arthralgia (OR: 2.96; 95% CIca: 2.27–3.86); age 30 years or older (OR: 1.85; 95% CIca: 1.72–1.98); female (OR: 1.64; 95% CIca: 1.42–1.90); and higher education households (OR: 1.18; 95% CIca: 1.11–1.27). Conclusions: The high occurrence of chikungunya and its relapse are a public health problem. The factors associated with relapse do not immediately suggest specific prevention strategies but emphasize the dire need for effective approaches to vector control.
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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 | 0.000 | 0.001 |
| 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".