Geographic Variation in the Prevalence of <i>Candidatus</i> Neoehrlichia procyonis in Raccoons (<i>Procyon lotor</i>) in the United States and Canada
Why this work is in the frame
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Bibliographic record
Abstract
Raccoons (Procyon lotor) are reservoirs for pathogens of other wildlife species, domestic animals, and humans, including several tick-borne pathogens. A relatively understudied organism in raccoons is Candidatus Neoehrlichia procyonis which has been detected in raccoons from the southeastern United States. A related species in Europe and Asia, Neoehrlichia mikurensis, uses rodents as reservoirs and Ixodes spp. as vectors; however, studies on rodents suggest they are not susceptible to Ca. N. procyonis. N. mikurensis has been associated with cases of neoehrlichiosis in people and dogs, which emphasizes the need to better understand the natural history of Ca. N. procyonis. We conducted a molecular survey of raccoons from selected regions of the United States and Canada. Of 394 raccoons tested, 167 (42.4%) were confirmed to be positive for Ca. N. procyonis based on sequence analysis. There was spatial variation in prevalence with significantly higher prevalence (68%, 268/394) being detected in the Southeast region of the United States compared with all other regions, although a high prevalence (55.1%, 217/394) was detected in California. Lower prevalence was detected in the Midwest (3.8%, 15/394) and none of the raccoons from Canada were positive. These data suggest that Ca. N. procyonis is widespread in raccoon populations in the United States but there is spatial variation which may be related to vector distribution or some other factor. Although not known to infect hosts other than raccoons, neoehrlichiosis should be considered in cases of suspected ehrlichiosis in immunocompromised dogs or people that have no known etiologic agent.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it