Environmental health factors influencing dengue: a systematic review with thematic categorization
Bibliographic record
Abstract
mosquito breeding. This systematic review aimed to identify and synthesize environmental health factors associated with dengue risk. A comprehensive search across multiple databases yielded 64 studies conducted in urban, peri-urban, and rural settings. Data were extracted and categorized thematically, and risk of bias was assessed using the JBI Checklists, Newcastle-Ottawa Scale, and ROBINS-I tool, depending on study design. Eight key environmental health factors were identified: water storage practices, solid waste disposal, housing characteristics, drainage and standing water, vegetation and shaded areas, urbanization and population density, climate and seasonal variation, and water supply reliability. Improper water storage and unmanaged waste were consistently linked to higher mosquito entomological indices. Poor housing conditions and densely populated urban areas also correlated with increased dengue risk. Seasonal rainfall and unreliable water infrastructure intensified vulnerability, particularly in resource-limited contexts. Findings emphasize that environmental health conditions are central to dengue prevention. Effective control requires multi-sectoral strategies that integrate infrastructure upgrades, environmental management, and behavioural change. Future research should prioritize evaluating environmental interventions and developing predictive models incorporating climate, infrastructure, and human behaviour to guide public health responses.
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 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 | 0.002 | 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 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".