High Prevalence of Acute Respiratory Tract Infections Among Warao Amerindian Children in Venezuela in Relation to Low Immunization Coverage and Chronic Malnutrition
Bibliographic record
Abstract
BACKGROUND: Higher prevalence rates of acute respiratory tract infections (ARTIs) have been described in Australian and Canadian indigenous populations than in nonindigenous age-matched counterparts. Few studies on ARTIs in South American indigenous populations have been published. We performed a cross-sectional survey to describe the prevalence of upper respiratory tract infections and acute lower respiratory tract infections (ALRTIs) and associations with malnutrition and immunization status. METHODS: From December 1, 2009 to May 31, 2010, 487 Warao Amerindian children 0 to 59 months of age living in the Delta Amacuro in Venezuela were included in a cross-sectional survey. Data were obtained through parent questionnaires, vaccination cards, and physical examinations including anthropometric measurements. RESULTS: Of the 487 children, 47% presented with an ARTI. Of these, 60% had upper respiratory tract infections and 40% were ALRTI. Immunization coverage was low, with only 27% of all children presenting a vaccination card being fully immunized. The prevalence of malnutrition was high (52%), with stunting (height-for-age <-2 standard deviations) being the most frequent presentation affecting 45% of children. ARTI and ALRTI prevalence diminished with increasing age (odds ratio for ALRTI in children 25-59 months of age vs. children younger than 12 months, 0.49; 95% confidence interval, 0.26-0.93). Furthermore, significant differences in ARTI prevalence were seen between villages. No significant associations between immunization status or malnutrition and ARTI or ALRTI prevalence were identified. CONCLUSIONS: A high prevalence of ARTIs and chronic malnutrition in combination with a low immunization status highlights the need for an integrated approach to improve the health status of indigenous Venezuelan children.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".