Postmortem Chikungunya Diagnosis
Bibliographic record
Abstract
Chikungunya is a mosquito-transmitted viral illness with clinical hallmarks of rash, fever, arthralgia, and myalgia. It is rarely fatal, although vulnerable populations, to include elderly, children, and those with multiple comorbid illnesses, are more susceptible to severe infection and death. There have been multiple areas of the world with periodic chikungunya epidemics. With increased immigration, foreign travel, epidemics, and global spread of the virus, it is prudent to consider chikungunya as a diagnosis both clinically and postmortem when a patient presents with rash, fevers, and arthralgia. We present a case of a patient with recent foreign travel, a rash, fever, and arthralgia with mosquito bites who succumbed to chikungunya viral infection with pneumonia. His diagnosis was established postmortem. A review of the literature is included in this report. This case stresses the delayed time to diagnose chikungunya with serologic testing and the importance of using reverse transcriptase-polymerase chain reaction to aid in rapid and accurate diagnosis and management.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".