Environmental factors of diarrhea prevalence among under five children in rural area of North Gondar zone, Ethiopia

In the sub-Saharan countries, many of the children including found in health facilities are not having sufficient care of diarrhea. Diarrheal disease in these countries is one of the main causes of deaths for under-five children. A community-based cross-sectional study design was used to collect dat...

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Bibliographic Details
Published in:Italian journal of pediatrics 2018-08, Vol.44 (1), p.95-7, Article 95
Main Authors: Getachew, Atalay, Tadie, Alebachew, G Hiwot, Mulat, Guadu, Tadesse, Haile, Daniel, G Cherkos, Teklay, Gizaw, Zemichael, Alemayehu, Marta
Format: Article
Language:English
Subjects:
Age Distribution
Analysis of Variance
Child, Preschool
Children
Children & youth
Cross-Sectional Studies
Data collection
Developing Countries
Diarrhea
Diarrhea - diagnosis
Diarrhea - epidemiology
Disease
Environment
Environmental factors
Environmental health
Ethiopia - epidemiology
Feces
Female
Health facilities
Health risk assessment
Households
Humans
Hygiene
Infant
Logistic Models
Male
North Gondar zone
Prevalence
Public health
Risk Assessment
Rural areas
Rural Population
Sample size
Sanitation
Severity of Illness Index
Sex Distribution
Socioeconomic Factors
Standard scores
Studies
Surveys and Questionnaires
Under-five children
Urban areas
Waste disposal
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Summary:In the sub-Saharan countries, many of the children including found in health facilities are not having sufficient care of diarrhea. Diarrheal disease in these countries is one of the main causes of deaths for under-five children. A community-based cross-sectional study design was used to collect data from May-June, 2016 to determine environmental factors of diarrhea prevalence among under five children in North Gondar Zone. Structured interview questionnaire and observational checklist were used to collect data. Using probability proportion to size, number of households was determined in each district. The multivariable binary logistic regression analysis with a 95% confidence interval and p 
ISSN:1824-7288
1720-8424
1824-7288
DOI:10.1186/s13052-018-0540-7