An updated inventory of mosquito-borne viruses in the Maritimes and provincial targeted surveillance plans for vector species
Bibliographic record
Abstract
Across Canada, the prevalence of arthropod-borne viruses (arboviruses) has historically been low due to our cool, temperate climate, and thus many provinces, including the Maritimes, do not complete regular mosquito or arbovirus surveillance. However, this lack of surveillance limits our understanding of the drivers of mosquito and arbovirus prevalence across Canada, as well as our ability to predict the increasing risks of arboviruses associated with climate change. To improve our ability to predict the future of arbovirus risk in the Maritimes, the objectives of my research were to 1) update the baseline inventory of mosquito species in New Brunswick and Prince Edward Island, and detect if West Nile virus, eastern equine encephalitis virus, and the California serogroup viruses are present in these populations, and 2) develop a targeted arbovirus surveillance plan for eight vector species of West Nile virus, eastern equine encephalitis virus, and the California serogroup viruses under current and future climate change scenarios using species distribution modeling. Overall, we collected over 50,000 mosquitoes and detected a total of eight new species records in New Brunswick, seven in Prince Edward Island and two in Nova Scotia, of which many are vectors of arboviruses present in Canada. In addition, we detected the California serogroup viruses across all three provinces, and one positive pool of eastern equine encephalitis virus in New Brunswick. We did not detect any West Nile virus, but created degree day models to explore potential thermal limits of this virus in the region. Species distribution models also suggested that most vector species are currently limited by temperature, and thus habitat suitability will continue to increase with climate change. As habitat suitability increases, it will next be important to use these updated baselines to continue targeted surveillance of the arbovirus vectors in the Maritimes as a proactive approach to mitigating the risks of mosquito-borne disease with climate change.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".