Utilizing AI for Community Protection: Leveraging Open Data to Monitor and Identify Infectious Disease Outbreaks Instantly
Year: 2025
Type: conference-paper
Abstract: Artificial Intelligence (AI) improves public health safety by providing better monitoring of infectious disease outbreaks.This document analyzes AI outbreak detection solutions based on ML technology that combine NLP and GIS systems to process social media and medical data for monitoring early warning indicators.The technological advances create barriers to public health security by generating algorithmic prejudice as well as incorrect data and privacy worries and complex predictive modeling systems.Earth-tested solutions are needed because they guarantee the reliability of AI health monitoring systems.Research examines contemporary AI frameworks in epidemiology while showing their strengths and evaluating weaknesses followed by a study of AI interventions throughout the COVID-19 outbreak time.The advancement of predictive tools through AI requires immediate establishment of country-based research networks as well as ethical regulations for healthcare AI applications.AI technology ensures worldwide health safety because it joins technological development with ethical principles to build superior detection and response systems for diseases.
Authors: Debanjali Barman Roy, Purvesh Kolpe, Subham Kumar, Anushka Singh, Manasvi Kalode, Yashodhan Sonwane, Shalini Kushwaha, Swati Suryawanshi
Institution: Ajeenkya DY Patil University
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4411095472