Transovarial transmission of dengue 1 virus in <i>Aedes aegypti</i> larvae: real-time PCR analysis in a Brazilian city with high mosquito population density
Bibliographic record
Abstract
Transovarial transmission is among the reported factors able to influence environmental maintenance of dengue virus (DENV). Endemic areas with active transmission of dengue are suitable for studying transovarial transmission. Brazil is a country where dengue is endemic and where DENV-1 is the most common disease-related virus serotype. This study aimed to identify transovarial transmission of DENV-1 in Aedes aegypti larvae by reverse-transcriptase nested real-time polymerase chain reaction. Between March and October 2016, Culicidae larvae were collected using traps in 3 locations in Taubaté, São Paulo, Brazil, which has a high occurrence of dengue. The collected larvae were sacrificed in the 3rd or 4th larval stage, classified, and stored at -20 °C. The A. aegypti larvae samples (n = 910) were separated into 91 pools of 10 specimens each from which RNA was extracted, reverse transcribed into cDNA, and analyzed by nested qPCR. None of the pools tested positive for DENV-1. Due to the absence of detectable virus in the evaluated samples, we concluded that transovarial transmission may not be the primary mechanism for maintenance of DENV-1 in this particular environment.
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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 | 0.000 | 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 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".