Clinical Characteristics and Outcome of Jamestown Canyon Virus Infection in Hospitalized Wisconsin Patients
Bibliographic record
Abstract
Background: Jamestown Canyon virus (JCV) is an emerging arboviral pathogen transmitted by mosquitoes in the United States and Canada. It is associated with neuroinvasive diseases and a wide spectrum of clinical presentations. Methods: A retrospective chart review was conducted at the Mayo Clinic Health System in Northwest Wisconsin from January 2018 to December 2024, analyzing data from 12 hospitalized patients diagnosed with JCV infection. This study aimed to characterize the clinical, laboratory, imaging, and outcome profiles of the disease. The cohort included individuals aged 19 to 75 years, predominantly male (75%), with all patients reporting outdoor activity and 75% being pet owners. Results: were found in 33% of cases, while 16.7% of cases were seropositive to La Crosse virus. Magnetic resonance imaging of the brain was obtained in 5 patients and was nonspecific. Cerebrospinal fluid analysis demonstrated lymphocytic or monocytic pleocytosis in all cases where the test was performed. Conclusions: All patients experienced clinical improvement, with only 1 developing lingering neurological symptoms in the form of brain fog. This study highlights the clinical heterogeneity of JCV infections and underscores the importance of including JCV in the differential diagnosis for patients residing in or traveling from endemic areas.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".