Multivariate Analysis of Wasting and Stunting Among Under-Five Children in Case of Segen Area People and South Omo Zone, SNNPR, Ethiopia
Belayneh Debasu Kelkay,
Kassaye Wudu Seid
Issue:
Volume 7, Issue 3, June 2019
Pages:
26-35
Received:
4 November 2018
Accepted:
27 November 2018
Published:
4 July 2019
Abstract: Nutrition is the intake of food, considered in relation to the body’s dietary needs. Good nutrition – an adequate, well balanced diet combined with regular physical activity – is a cornerstone of good health. Poor nutrition can lead to reduced immunity, increased susceptibility to disease, impaired physical and mental development, and reduced productivity. The aim of this study was to analyze the determinants of Stunting and Wasting among Under-five Children of Segen Area People and South Omo Zone, Ethiopia. A total of 339 children are selected from 5 woreda using self-administered questionnaire. From these 148 children are females and 191 are males and 35.4% of children are wasted and 54.9% are stunted. Binary logistic regression model was used to analyze the data. Among the various socio-economic, demographic and child health and care practices characteristics considered, residence, Primary mothers education level, sex of the child (female) are significantly associated with wasting. Rural residence, mothers’ education level and female child were remained to be significantly associated with stunting. The prevalence rate of malnutrition in the study area was found high and this was coupled with association of many independent variables. Family religion, mothers’ occupation, mothers education level, family food source, source of drinking water (public tap), child sex, child order, duration of breast feeding, vaccination status, prenatal and postnatal care, Diharrea and Fever are associated with wasting and stunting.
Abstract: Nutrition is the intake of food, considered in relation to the body’s dietary needs. Good nutrition – an adequate, well balanced diet combined with regular physical activity – is a cornerstone of good health. Poor nutrition can lead to reduced immunity, increased susceptibility to disease, impaired physical and mental development, and reduced produ...
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Statistical Analysis of Health Insurance and Cash and Carry Systems in Cape Coast Teaching Hospital of Ghana
Bridget Sena Borbor,
Bosson-Amedenu Senyefia,
Daniel Gbormittah
Issue:
Volume 7, Issue 3, June 2019
Pages:
36-44
Received:
10 July 2019
Accepted:
14 August 2019
Published:
30 August 2019
Abstract: The passage of National Health Insurance Scheme to replace the old system (called cash and carry) in Ghana seems to have raised many questions as to whether it has increased the rate at which people attend hospital and abolished cash and carry system. The data collected were hospital attendance for both health insurance and cash and carry system on monthly basis across age groups and gender for 2008-2017, obtained from Cape Coast Teaching Hospital. Chi-Square tests and the Box-Jenkins’s methodology of time series analysis were employed to analyse the data. From the findings, the autocorrelation function (ACF) and partial autocorrelation function (PACF) plot suggested an AR process with order 1. Candidate models were obtained using the minimum AIC criteria to select adequate models and appropriate models were obtained as SARIMA (1,0,0) (0,1,0)12 model for insured (NHIS) and SARIMA (1,1,1) (2,0,1)12 model for uninsured (Cash and Carry system). Model diagnostics tests were performed using Ljung-Box test. The Chi-square tests inferred dependence in hospital attendance between insured and non-insured patients on gender and the years, In conclusion, insured patients will be increasing throughout the age groups and non-insured patients will be increasing for specific age groups 0-28 days to 15-17 years for the next 24 months. This research recommended among others that education should be given to the general public about the importance of health insurance, it registration and operations especially age group 0-28days to 15-17 years because they seem to continue the use of Cash and Carry System in seeking healthcare regardless of the introduction of NHIS.
Abstract: The passage of National Health Insurance Scheme to replace the old system (called cash and carry) in Ghana seems to have raised many questions as to whether it has increased the rate at which people attend hospital and abolished cash and carry system. The data collected were hospital attendance for both health insurance and cash and carry system on...
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Application of Association Rule Mining in Talent Introduction Analysis
Zixuan Chen,
Jiepin Ding,
Zhiguang Zhou,
Yin Zhu,
Wenyu Zhang
Issue:
Volume 7, Issue 3, June 2019
Pages:
45-50
Received:
5 August 2019
Published:
27 September 2019
Abstract: With the advancement of higher education, many colleges have given increasing attention to talent introduction. On the other hand, the association rule mining technique is a useful method which extracts the useful association rules from the complex data repositories. This study takes the example of 245 academic staff from Zhejiang University of Finance and Economics, China and uses Apriori algorithm to explore the association rules on whether an academic staff can obtain the Natural Science Foundation of China (NSFC) within three years after s/he is recruited to the university. The aim of this study is to better introduce talents for colleges so that the academic levels of colleges can be improved. The results of association rule mining have shown that having published high quality papers such as SCI paper and SSCI paper has an important effect on the probability of academic staff to obtain NSFC within three years. Besides, the grade of PhD school has also an effect on the probability of academic staff to obtain NSFC within three years. The higher the grade of a staff’s PhD school is, the easier for him to obtain NSFC within three years.
Abstract: With the advancement of higher education, many colleges have given increasing attention to talent introduction. On the other hand, the association rule mining technique is a useful method which extracts the useful association rules from the complex data repositories. This study takes the example of 245 academic staff from Zhejiang University of Fin...
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