Prevalence and determinants of under-five mortality in low- and lower-middle-income countries: A analysis from Demographic and Health Survey data

Under-five mortality is considered a big threat in the child health sector. The rate of under-five mortality is strongly related to different socio-economic and demographic factors in low-and lower-middle-income countries. To achieve Millennium Development Goal, it is necessary to reduce under-five mortality. However, neonatal, infant and child mortality belongs to the under-five mortality. This research aims to identify which socioeconomic and demographic factors are significantly influence related to under-five mortality. To find out the prevalence of under-five mortality (infant, neonatal and child mortality) for different characteristics of variables descriptive statistics will be used. Chi-square test will be used to identify whether there is any association between child mortality and factors. Along with this, different statistical models such as binary logistic regression, multilevel logistic regression and poison regression model will be used to determine the effect of various factors on under-five mortality. We will consider a significant level at 5% as a cut point to assess the significance of associations in all analyses. This research will be collaborative research that will be helpful for a researcher as well as enrich the knowledge of statistics. Policymakers will easily understand whether the initiatives need to take to reduce under-five mortality for a healthier world.           

• Research Project