BIG DATA ANALYSIS TO IMPROVE EMERGENCY RESPONSES: COLLECT AND ANALYZE DATA RELATED TO ACCIDENTS AND INJURIES TO IDENTIFY COMMON PATTERNS AND DEVELOP BETTER RESPONSE STRATEGIES: A REVIEW

Big data analysis is transforming emergency response systems by enabling the collection and analysis of vast datasets related to accidents and injuries. By leveraging data from various sources, including emergency medical services, geospatial data, weather information, and social media, emergency management agencies can identify common patterns and risk factors. Advanced analytics, such as predictive modeling, geospatial analysis, and real-time data processing, allow for improved resource allocation, faster response times, and proactive risk mitigation. This article explores the role of big data in enhancing emergency response strategies, the methods used to analyze data, and the potential challenges in implementing these solutions.

Keywords: Big data analysis, Emergency response, Accident patterns, Predictive analytics, Resource optimization, Real-time data