The role of climate change in the spread of vectors and vector-borne disease in Windsor-Essex County
Bibliographic record
Abstract
West Nile virus (WNV) and Lyme disease have emerged as significant public health concerns in many parts of Canada. Vector-borne diseases (VBDs) are susceptible to climate change and changing weather patterns because mosquitoes’ and ticks’ lifecycles are significantly impacted by temperature, precipitation, and humidity. Over the last several decades, weather patterns related to climate change in Windsor-Essex County demonstrate tendencies for the further proliferation of invasive mosquito species in the area. In this study, increasing maximum January and February temperatures and number of days in May with temperatures above 30 °C demonstrated a positive impact on the number of WNV-positive pools and the annual rate of WNV. Given the results of this study, health units should consider adapting their vector-borne management strategies and risk assessment tools to include these parameters, which can help health units assess VBD risks for people during the season and develop risk communication strategies to protect public health.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".