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Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana
المؤلفون المشاركون
Iddrisu, Abdul-Karim
Tawiah, Kassim
Bukari, Francis Kwame
Kumi, Williams
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-06
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Background.
Child mortality is a global health problem.
The United Nations’ 2018 report on levels and trends on child mortality indicated that under-five mortality is one of the major public health problems in Ghana with a rate of 60 deaths per 1000 live births.
To further mitigate this problem, it is important to identify the drivers of under-five mortality in order to achieve the United Nations SDG Goal 3 target 2.
Methods.
In this study, we investigated the effects of some selected risk factors on child mortality using data from the 2014 Ghana Demographic Health Survey.
We modelled the relationship between child mortality and the risk factors using a logistic regression model under the frequentist and Bayesian frameworks.
We used the Metropolis-Hastings Algorithm to simulate parameter estimates from the posterior distributions, and statistical analyses were carried out using STATA version 14.1.
Results.
Results from the frequentist framework are in line with those from the Bayesian framework.
The results showed an increased risk of death among children who were delivered through caesarean and reduced relative odds of death among children whose sizes are average or large at birth and whose mothers have formal education.
Conclusions.
There is a need for improved health facilities for better health-care for mothers and children.
Education should, among other things, emphasise on the need for mothers to go for regular check-ups during antinatal and postnatal periods for improved mother and child health.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Iddrisu, Abdul-Karim& Tawiah, Kassim& Bukari, Francis Kwame& Kumi, Williams. 2020. Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1137338
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Iddrisu, Abdul-Karim…[et al.]. Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1137338
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Iddrisu, Abdul-Karim& Tawiah, Kassim& Bukari, Francis Kwame& Kumi, Williams. Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1137338
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1137338
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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