The role of climate change in the spread of vectors and vector-borne disease in Windsor-Essex County
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.000 |
| 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 it