Host Determinants of Diarrhea Incidence among Toddlers in Indonesia: A Systematic Review
Bibliographic record
Abstract
Background: Toddler diarrhea is a major Indonesian health concern. Toddler diarrhea rates differ in the 2021 SSGI data. West Sulawesi, NTB, and Maluku have the most diarrhea. This study investigates the causes of Indonesian toddler diarrhea. Objectives: This research is intended to systematically analyze host-related determinants that contribute to the occurrence of diarrhea in Indonesian toddlers from 2021 to 2025. Methods: PRISMA 2020 guided systematic reviews. Google Scholar, ScienceDirect, and PubMed provided data. Eight 2021–2025 studies examined Indonesian toddler diarrhea risk variables. Newcastle-Ottawa Scale and internal validation questions rated quality. Results: From the screening process, eight studies were determined to satisfy the inclusion criteria. The synthesis of these studies showed that several host characteristics, including toddler’s age, practice of exclusive breastfeeding, and immunization completeness, show a meaningful association with diarrhea prevalence among young children in Indonesia. Conclusion: Age, exclusive breastfeeding, and immunization status significantly affected Indonesian toddler diarrhea incidence, although nutritional condition and gender did not.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".