A Case of Intercurrent Dengue and Probable Relapsing Plasmodium vivax Malaria in a Returned Traveler to India: Case Report and Literature Review
Bibliographic record
Abstract
Dengue and malaria are common vector-borne tropical diseases and are associated with high morbidity and mortality. Co-infection of dengue and malaria is underestimated due to parsimonious diagnostic approaches once the diagnosis of either is made, particularly using point-of-care assays, such as rapid diagnostic tests (RDTs). We present a case of dengue and Plasmodium vivax co-infection in a returned traveler from an endemic region, in whom the epidemiology and clinical course are highly suggestive of dengue triggering a P. vivax relapse. The literature on the co-occurrence of dengue and malaria in travelers is reviewed, as is the state of knowledge surrounding dengue as a precipitant to relapsing malaria.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".