Introduction, establishment, and distribution of Aedes aegypti and dengue in a temperate capital of Brazil: a retrospective surveillance-based study
Bibliographic record
Abstract
Background Dengue is spreading to southern latitudes in Brazil, where the temperate climate was once a barrier to the primary vector, Aedes aegypti . In this study, our objective was to reconstruct the introduction, establishment, and subsequent expansion of Ae. aegypti and dengue in Porto Alegre, the southernmost state capital of Brazil, located in Rio Grande do Sul state. Methods This ecological study used entomological and epidemiological surveillance data and official reports obtained from municipal health authorities of Porto Alegre, from 2001 to 2021. Descriptive analyses were employed, supplemented by space-time scan statistics to identify high-risk vector abundance and dengue case clusters. Findings Ae. aegypti was first detected in Porto Alegre in 2001, spreading citywide by 2016. The first autochthonous dengue case was recorded in 2010, and by 2021 the disease was detected in 78% of the neighbourhoods. DENV-1 was the dominant serotype and most cases occurred among people aged 20–59. Clusters of vectors and dengue cases were more frequent during summer and autumn, but a few were also identified during winter. High-risk clusters for vectors were more frequent in the Partenon and Northwest regions and for dengue in the East, Centre, Partenon and South. Interpretation Ae. aegypti successfully established and spread within a temperate city in Brazil. The presence of vectors, a susceptible population and socio-environmental characteristics conducive to mosquito proliferation resulted in autochthonous transmission of dengue fever after the continuous introduction of imported cases. The climatic barrier to dengue transmission in the south of Brazil has shifted southward, coinciding with the colonisation of Ae. aegypti and the emergence of dengue in recent years in Porto Alegre. Funding Generalitat de Catalunya, European Commission, and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq).
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How this classification was reachedexpand
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) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".