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drives the attention of the policymakers towards the need to make our youth more aware when it comes to their
health issues.
667 A study of prevalence of disability in seeing in Maharashtra: An Analysis of 2011
Census Data
Ravi Gawai
Tata Institute of Social Sciences, Mumbai, India
Categories
10. Special population groups (Youth, Persons with Disability, etc.)
Abstract
Disability in seeing is one of the widespread common disabilities in the world. Disability is both public health
concerns and a social issue. People with disability in seeing still have to struggle to be an active and independent
section of the society. They constitute 50 million populations in India according to Indian census-2011. This study
attempts to analyze the census of India 2011 data on disability in seeing for India and especially Maharashtra and
also their oppressed condition.
The objectives of this paper are to study the distribution of the populations of disability in seeing in Indian and
district-wise distribution in Maharashtra. This paper discusses their social, educational, occupational, economic and
political conditions.
For the methodology, the Census of India-2011 data is used in particular for this paper. the prevalence of disability
in seeing (per one lakh population) is calculated for the following categories for India and Maharashtra: prevalence
by age, sex, and residence for India and Maharashtra, prevalence by sex for states and prevalence by sex for districts
of Maharashtra.
I discuss some of the troubles of people with disabilities in seeing in Maharashtra and how the overall atmosphere
brought a challenge for them also will suggest some recommendations.
635 Understanding the Inequalities in Full Immunization Coverage in India: A
Decomposition Approach
Vinod Joseph K J
International Institute for Population Sciences, Mumbai, India
Categories
11. Population and Economy: Demographic Dividend, Labor Market and Population Policies
Abstract
The importance of immunization in healthy child growth and development has been well recognised globally. It is
widely evidenced that low socio-economic status is associated with child immunization and health care utilization
but the inequalities caused are poorly quantified. This study uses the latest National family health survey-4 data.
The methods of analysis include bivariate statistics, Chi-Square, test binary logistic regression, concentration indices
and its decomposition. The result of the study reveals that the inequality in vaccination coverage is predominant in
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