Identification of the Factors Influencing Child Immunization in West Bengal: A Case Study of Darjeeling District
- 421 Downloads
This paper mainly concentrated on identifying the most vulnerable groups for immunization coverage, to find mother’s composite health index and finally to identify the factors influencing the vaccination status of the child in Darjeeling district of West Bengal. The study is based on the novel dataset, of 245 children within the age group of 12 months to 2 years from 200 households that have especially been collected to investigate the above-mentioned objectives. Yule’s coefficient of association is used to find out the association of various socioeconomic variables with the phenomenon of child immunization. Mothers’ composite health index has been constructed using the multiple correspondence analysis (MCA). Logistic regression analysis is used in identifying the socioeconomic determinants of such immunization program. We found low rates of participation in vaccination coverage among poor households, minorities, and people living in rural and remote areas. The study concludes that there is difficulty in accessing the governmental health safety net services for both children and mothers.
KeywordsChild immunization Multiple correspondence analysis (MCA) Mothers’ composite health index Logistic regression
JEL ClassificationI00 I15 I18 C25 C401.1
- Anderson, T. W. (1984). An introduction to multivariate statistical analysis (2nd ed.). USA: Wiley.Google Scholar
- Asselin, L. M. (2002). Composite indicator of multidimensional poverty. CECI, June.Google Scholar
- Asselin, L.-M., & Anh, V. T. (2005a). Multidimensional Poverty in Vietnam 1993–1998 according to CBMS indicators. Vietnam Socio-Economic Development Review, 41(Spring), 12–21.Google Scholar
- Asselin, L-M., Gauss, C. F., & Anh, V. T. (2005). Multidimensional poverty and multiple correspondence analysis. Available via http://www.aed.auf.org/IMG/pdf/Louis-Marie_Asselin.pdf. Accessed September 7th, 2013.
- Cayolla da Motta, L. (1979). A summary indicator of health status in the municipalities and districts of portugal for health planning purposes. In Walter W. Holland, Johannes Ipsen & Jan Kostrzewski (Eds.), Measurement of Levels of Health, WHO Regional Publications, European Series (7): 179–193.Google Scholar
- Ki, J. B., Faye, S., & Faye, B. (2005). Multidimensional poverty in senegal: A non-monetary basic needs approach. Final Report, PMMA Working Paper-PEP.Google Scholar
- Maity, S., & Kachari, S. (2015). Socioeconomic status and the factors influencing the socioeconomic status of Bodo Tribes: A case study of Udalguri District, Assam. Socioeconomica — The Scientific Journal for Theory and Practice of Socio-economic Development, 4(8), 1–23.Google Scholar
- Mukhopadhyay, R. (1988). An analysis on spatial patterns and growth of indian agricultural activities: A study on the spatial variations in agricultural situation by district group, 1960–61 to 1980-81. Ph.D. Thesis submitted to Indian Statistical Institute, Calcutta, India.Google Scholar
- Ningaye, P., & Ndjanyou, L. (2006). Multidimensional poverty in cameroon: Its determinants and spatial distribution. Final Report, AERC, Nairobi, Kenya.Google Scholar
- Njong, M. A., (2007). Multidimensional spatial Poverty comparisons in cameroon (Vol. 46, pp. 33–58). Final Report submitted to AERC Research Workshop, Nairobi-Kenya, December and Wealth.Google Scholar
- Njong, A. M., & Ningaye, P. (2008). Characterizing weights in the measurement of multidimensional poverty: An application of data-driven approaches to cameroonian data. OPHI Working Paper 21 August, 2008. Available via www.ophi.org.uk. Accessed March 6th, 2014.
- Pal, M. N. (1971). Quantitative techniques for regional planning. Indian Journal of Regional Science, 3(1), 1–33.Google Scholar
- Pal, M. N. (1990). A generalised formulation of multi-collinear spatial indices for formal regional analysis. Indian Journal of Regional Science, 22(1), 11–33.Google Scholar
- Pathak, P. (1991). Diagnostic regional analysis on the shortfalls in development and utilisation of human resources in india: A statistical study on the spatial variations by Districts of India., Ph.D. Thesis submitted to Indian Statistical Institute, Calcutta, India.Google Scholar
- Pathak, P. (1995). A consistent phase-order preserving equispaced optimal index for regional analysis on non-development of basic skill among boys in India. In Essays on Regional Science: Regional Development and Planning, Vol. (Silver Jubilee Issue), ed. C.R. Pathak, Regional Science Association, India, I.I.T., Kharagpur: 41–56.Google Scholar
- Patra, N. (2006). Universal immunization programme in India: The determinant of childhood immunization. Available at: http://ssrn.com/abstract=881224. Accessed June 27th, 2017.
- Tatlidil, H. (1992). A new approach for human development: Human development scores. Sussex, Mimeo: IDS.Google Scholar
- United Nations Development Programme (UNDP). (1993). Human Development Report 1993. Oxford University Press, Delhi.Google Scholar
- World Health Organisation (WHO). (1994). Global Comparative Assessments in the Health Sector: Disease Burden, Expenditures and Intervention Packages. In C.J.L. Murray and A.D. Lopez (Eds.), Collected reprints from the Bulletin of the World Health Organization. Geneva, World Health Organization, 1994. viii, 196 p.Google Scholar
- Yule, G. U. (1911). An introduction to the theory of statistics. London: Gri-n.Google Scholar
- Yule, G. U. (1912). On the methods of measuring association between two attributes. Journal of the Royal Statistical Society, 75, 579–652.Google Scholar