Mosquito‐Borne Diseases in Canada: Integrated Perspectives on Disease Management and Influences of Environmental and Anthropogenic Factors Affecting the Transmission Cycle
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
ABSTRACT Globally, mosquito‐borne diseases (MBD) cause the highest morbidity and mortality in humans and animals. Currently, in Canada, endemic MBDs that are significant public health problems are all zoonoses and are caused primarily by West Nile virus, Eastern equine encephalitis virus, and Californian serogroup viruses, including the Jamestown Canyon and the Snowshoe hare viruses. The transmission cycles of these viruses are changing, linked to global population movements (including vectors) and climate and land use changes. Here, we present the state of knowledge, related to MBDs in Canada, as well as salient surveillance approaches carried out to monitor them and their infection rates. We propose a few theoretical and operational research avenues in order to improve our understanding of transmission cycle changes, as well as the potential of new surveillance tools such as citizen science, metagenomics, artificial intelligence, and remote sensing to help reduce disease burdens on Canadians. This will support public and animal health responses to these zoonoses and help proactively manage such diseases under changing environmental conditions.
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 | 0.000 | 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