Environmental and Ecological Factors Influencing Japanese Encephalitis Transmission
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
Japanese Encephalitis (JE) is a significant vector-borne zoonotic disease primarily affecting Southeast Asia, with potential for expansion into new regions due to various environmental and ecological factors. This study examines the multifaceted influences on JE transmission, including vector ecology, climate variables, and anthropogenic changes. The primary vectors, predominantly Culex species, play a crucial role in the transmission dynamics, with environmental conditions such as temperature, rainfall, and humidity significantly impacting vector competence and virus dissemination. Additionally, the role of amplifying hosts like pigs and birds, along with the potential for new vector species to emerge in non-endemic regions, underscores the complexity of JE epidemiology. Increased surveillance, vector control, and public health interventions are essential to mitigate the risk of JE outbreaks in both endemic and susceptible regions. This study synthesizes current knowledge and identifies gaps for future research to better understand and control JE transmission.
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 | 0.001 | 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 | 0.001 |
| 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 it