Apr 2020 DOI 10.14302/issn.2474-7785.jarh-20-3301
Amjad KarismaCorresponding author
PhD Fellow, Institute of Social Welfare and Research, University of Dhaka, Bangladesh.
Bangladesh many older people spend their life in not only the unwell health but also in poverty which is major risk for the elderly population. This is especially true for older women, who suffer from various difficulties ensuing from prejudices to gender, widowhood and old age. Climate migrants start living in urban slums are in search of better and secure life. But urban slums located mostly in low lying environmentally hazardous area coupled with inadequate facilities like food, shelter, sanitation, health care make their life even worse. Older Women are the vulnerable groups in society in terms of climate change, movement; haphazard growth and unhealthy environment are the target group for this research. This study represents the nature and extent of elderly abuse of climate migrant urban poor women slum dwellers in Dhaka city in Bangladesh context. Besides, this paper also observe the socio-economic status of the study respondents and try to find out the self-stated reasons of elderly abuse. This study conducted both quantitative and qualitative types study on two slums of Dhaka with purposive sample survey, KII and in depth qualitative interview of selected climate migrant slum dwellers while purposive sample size of 50. Decreasing in earning capacity, inability and economic dependency, health hazard, maladjustment, changing social values have a separate role in the connection of older abuse. Planned migration, awareness program implantations against elderly abuse and secured socioeconomic factors are suggested through this paper to lessen exposure to further neglecting of elderly climate migrant women in urban slums.
Jan 2019 DOI 10.14302/issn.2643-6655.jcap-18-2541
S.O OyamakinCorresponding author
Department of Statistics, University of Ibadan, Nigeria
Many researchers have devoted considerable attention to the impact of individual-level factors on child mortality, but little is known about how family and community characteristics affect health of children. Trend in child mortality as well as its determinants, has long been the subject of academic and policy debates. In spite of this, the problem of child mortality remains as daunting as ever. In fact, advancement in medical sciences and the upsurge in information and telecommunication technology equipment have not significantly reduced child mortality in the country, unlike in the West. The Multilevel proportional hazards model for data that are hierarchically clustered at three levels was applied to the study of covariates of child mortality in Nigeria. This study merges two parallel developments of statistical tools for data analysis: statistical methods known as hazard models that are used for analyzing event-duration data and statistical methods for analyzing hierarchically clustered data known as multilevel models. These developments have rarely been integrated in research practice and the formalization and estimation of models for hierarchically clustered survival data remain largely uncharted. The model was estimated using the Newton-Raphsons numerical search approach. The model accounts for hierarchical clustering with three random effects or frailty effects. We assume that the random effects are independent and follow the Exponential and Weibull distribution. The results indicate that bio-demographic factors are more important in infancy while socioeconomic factors and household and environmental conditions have a greater effect in childhood. Furthermore, there is significant variation in child mortality risks even after controlling for measured determinants of mortality. Also, factors that fall under family and community level are more significant indicating that child survival is most controlled or determined by family and community factors and variables at the child level is not weighty. This suggests that there may exits unobserved or unobservable factors related to mortality.