Bhawana Vaishnav
Bhawana Vaishnav has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Akash Kumar
Department of Geography, Central University of South Bihar, Gaya, India
1 shared publication - Kiran Kumari
Professor, Department of Geography, Central University of South Bihar https://dx.doi.org/206411 Gaya, Bihar India
1 shared publication - Sanjay Kumar
Research Scholar, Department of Development Studies, Central University of South Bihar https://dx.doi.org/206411 Gaya, Bihar India
1 shared publication
Latest Publications
- 29 July 2026
- Published by Walter de Gruyter GmbH in African and Asian Studies
- p. 1-19
Spatial Accessibility Inequities and Socioeconomic Barriers to Health Care in Alwar, Rajasthan
This study examines health care access challenges in the Alwar District and analyses the socioeconomic, geographical, and infrastructural barriers residents face. The study uses primary survey data and statistical techniques, i.e., principal component analysis and multivariate regression modeling. The results signify that marginalized populations, low-income families, and the elderly are disproportionately affected by inadequate access to health care. Most respondents were unaware of the government-sponsored health care programs, with nearly half forced to travel more than ten kilometers to access any health care facility, accentuated by the unavailability of transportation services. In this study the statistical models highlight the critical role of socioeconomic variables in predicting health care utilization and identifying high-risk population groups that require immediate intervention. This research provides policymaking suggestions to improve health care delivery and reduce inequities in underserved rural areas.
- 29 July 2026
- Published by Walter de Gruyter GmbH in African and Asian Studies
- p. 1-19
Spatial Accessibility Inequities and Socioeconomic Barriers to Health Care in Alwar, Rajasthan
This study examines health care access challenges in the Alwar District and analyses the socioeconomic, geographical, and infrastructural barriers residents face. The study uses primary survey data and statistical techniques, i.e., principal component analysis and multivariate regression modeling. The results signify that marginalized populations, low-income families, and the elderly are disproportionately affected by inadequate access to health care. Most respondents were unaware of the government-sponsored health care programs, with nearly half forced to travel more than ten kilometers to access any health care facility, accentuated by the unavailability of transportation services. In this study the statistical models highlight the critical role of socioeconomic variables in predicting health care utilization and identifying high-risk population groups that require immediate intervention. This research provides policymaking suggestions to improve health care delivery and reduce inequities in underserved rural areas.