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July to September 2025 Article ID: NSS9663 Impact Factor:8.05 Cite Score:91 Download: 7 DOI: https://doi.org/ View PDf
Infant Mortality Among Scheduled Castes in Selected Villages of Mungele District
Dr. Kajal Moitra
Professor (Geography) and Head Department of Social Science, Dr. C V Raman University, Bilaspur (C.G.)Dr. Kaveri Dabhadkar
Head (Department of Geography) Govt. Bilasa Girls PG College, Bilaspur (C.G.)Kaji Aminul Islam
Research Scholar (Geography) Department of Social Science, Dr. C V Raman University, Bilaspur (C.G.)
Introduction:
Infant mortality is widely recognized as a crucial indicator of the
health status and socio-economic development of a region. It reflects not only
the effectiveness of healthcare systems but also the broader living conditions,
including nutrition, sanitation, education, and access to essential services.
In rural India, disparities in infant mortality are particularly evident among
marginalized communities such as Scheduled Castes (SCs), who continue to face
structural inequalities and socio-economic disadvantages.
Scheduled Castes constitute a
significant segment of the rural population in many parts of Chhattisgarh.
Historically subjected to social exclusion and economic deprivation, these
communities often experience limited access to resources, including healthcare,
education, and employment opportunities. As a result, their health outcomes,
especially those related to maternal and child health, remain a matter of
concern.
The present chapter examines
infant mortality among Scheduled Castes in selected villages—Khapri, Karhi,
Bhathra, Achanakpur, Aurabandha, Khudia, Paraswara, Chandrapur, Tenduabhata,
Ghutku, Khairwarpara, and Dhanwarkala. These villages represent diverse
socio-economic and geographical conditions, providing a comprehensive
understanding of the issue.
The chapter aims to analyze
the patterns, causes, and determinants of infant mortality among SC populations
while also exploring the role of socio-economic and environmental factors. It
further seeks to highlight the disparities between villages and identify areas
requiring policy intervention.
