دورية أكاديمية
أعرض في EDS

Joint binary response modelling for childhood comorbidity in Ethiopia.

التفاصيل البيبلوغرافية
العنوان: Joint binary response modelling for childhood comorbidity in Ethiopia.
المؤلفون: Bokoro TA; Department of Statistics, Haramaya University, Dire Dawa, Ethiopia., Gebresilassie HK; Department of Statistics, Haramaya University, Dire Dawa, Ethiopia., Zeru MA; Department of Statistics, Bahir Dar University, Bahir Dar, Ethiopia.
المصدر: PloS one [PLoS One] 2022 May 18; Vol. 17 (5), pp. e0268040. Date of Electronic Publication: 2022 May 18 (Print Publication: 2022).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
أسماء مطبوعة: Original Publication: San Francisco, CA : Public Library of Science
مواضيع طبية MeSH: Diarrhea*/epidemiology , Respiratory Tract Infections*/epidemiology, Child ; Comorbidity ; Ethiopia/epidemiology ; Female ; Humans ; Infant ; Pregnancy ; Risk Factors
مستخلص: Childhood diarrhea and Acute Respiratory Infection (ARI) are two diseases with similar risk factors in tropical developing regions. The objective of this study was to employ a joint binary response model and identify risk factors for childhood diarrhea and ARI in children under the age of five. A joint binary response model that takes into account the interdependence of the two diseases was used. Explanatory variables such as residence, vaccination, mother's education, and antenatal care visits during pregnancy were found to be statistically significant risk factors for diarrhea in the joint model, whereas residence, the number of children ever born, vaccination, mother's education, and wealth index were found to be statistically significant risk factors for childhood Acute Respiratory Infection. We discovered a common odds ratio value (4.30) greater than one, indicating a positive relationship between the two childhood diseases. As a result, using a joint model to assess the risk factors for diarrhea and acute respiratory infection (ARI) was reasonable. Furthermore, the standard errors of the parameter estimates in the joint response model were found to be smaller than the corresponding standard errors in the separate models. The risk factors such as residence, vaccination, and mother's education all had a significant effect on the two correlated dichotomous response variables, diarrhea and ARI.
Competing Interests: The authors have declared that no competing interests exist. The authors declare that no competing interests exist. We declare that this commercial affiliation does not alter our adherence to PLOS ONE policies on sharing data and materials.
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سلسلة جزيئية: Dryad 10.5061/dryad.6wwpzgn1x
تواريخ الأحداث: Date Created: 20220518 Date Completed: 20220520 Latest Revision: 20220716
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC9116622
DOI: 10.1371/journal.pone.0268040
PMID: 35584190
قاعدة البيانات: MEDLINE
الوصف
تدمد:1932-6203
DOI:10.1371/journal.pone.0268040