Diarrheal disease and associations with water access and sanitation in Indigenous Shawi children along the Armanayacu River basin in Peru
Notice bibliographique
Résumé
INTRODUCTION: Diarrheal disease, particularly in children under 5 years old, remains a global health challenge due to its high prevalence and chronic health consequences. Public health interventions that reduce diarrheal disease risk include improving access to water, sanitation, and hygiene. Although Peru achieved the 2015 Millennium Development Goal (MDG) indicators for water access, less progress was achieved on sanitation. Furthermore, many Indigenous Peoples were overlooked in the MDG indicators, resulting in a prioritization of Indigenous Peoples in the 2030 Sustainable Development Goals (SDGs). This study aimed to estimate the prevalence of childhood diarrhea, characterize access to water and sanitation, and determine the association of childhood diarrhea with water access and sanitation indicators in 10 Shawi Indigenous communities along the Armanayacu River in the Peruvian Amazon. METHODS: A cross-sectional survey (n=82) that captured data on diarrheal disease, sociodemographic variables, and water and sanitation exposures was conducted in 10 Shawi communities. Nutritional status of children under 5 was also assessed via physical examination. Descriptive and comparative statistics were conducted. RESULTS: A small proportion (n=7; 8.54%) of participating children reported an episode of diarrhea in the previous month. Almost half (46.30%) of participating children had stunting, wasting, or both. Although not statistically significant, children living in households that used latrines were 4.29 times (95% confidence interval (CI) 1.01-18.19) more likely to report an episode of diarrhea than children living in households that practiced open defecation. Although not statistically significant, children living in households that used water treatment methods were 4.25 times (95%CI 0.54-33.71) more likely to report an episode of diarrhea than children living in households that did not. CONCLUSION: The prevalence of childhood diarrhea was lower for Shawi than for other Amazon areas. The higher prevalence of childhood diarrhea in households that used latrines and water treatments warrants further investigation into local risk and protective factors. These Shawi communities scored low for the WHO/UNICEF Joint Monitoring Programme indicators for water and sanitation, indicating that they should be prioritized in future water, sanitation, and hygiene initiatives. Research will be required to understand and incorporate local Indigenous values and cultural practices into water, sanitation, and hygiene initiatives to maximize intervention uptake and effectiveness.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».