Predictive Analytics for Public Health Management Using Big Data in Urban Gujarat

Abstract

The growing urban population in Gujarat has placed considerable stress on public health infrastructure. To tackle emerging health challenges in urban areas, governments and healthcare institutions are turning to predictive analytics powered by big data. This research explores how predictive analytics can be effectively deployed in Gujarat’s urban centers to enhance public health surveillance, predict disease outbreaks, optimize resource allocation, and support data-driven policymaking. By analyzing real-world datasets and studying pilot projects in cities like Ahmedabad, Surat, and Vadodara, this paper identifies success factors, technological tools, implementation barriers, and strategic recommendations.