Emerging health implications of climate change: dengue outbreaks and beyond in Bangladesh
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
The combination of the sharp spike in the number of dengue cases in Bangladesh in 2023 and the undeniably altering climate patterns clearly elucidates the intricate nexus between environmental changes and public health ramifications. As of Oct 28, 2023, the nation recorded 1327 dengue-induced fatalities, with a staggering 265 862 individuals grappling with the infection,1 thereby positioning this year as the most disastrous since the report of the epidemic in 2000 (appendix).2 To contextualise the severity, the death toll from dengue in the country in 2023 starkly eclipsed the preceding year's count, registering approximately four times the dengue-related fatalities reported in 2022 (ie, 281 fatalities).
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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) | 0.001 | 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 | 0.001 |
| 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