Epidemiological Surveillance Innovative Applications for Community and Public Health: A Systematic Review
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Abstract
The paper explores the transformative impact of digital media on epidemiological surveillance. We are aiming to highlight innovative technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Blockchain, and Wearable Devices role in collecting surveillance data. Through predictive modeling, image recognition, and Geographic Information Systems (GIS), the integration of digital tools has revolutionized disease detection, outbreak prediction, and resource allocation aiding in overall data surveillance system. Cases including Arogya Setu, BlueDot, and HealthMap illustrate the efficacy of AI-driven surveillance during the COVID-19 pandemic. Challenges persist, necessitating a holistic approach encompassing technological advancement, regulatory frameworks, and ethical considerations to optimize the benefits of digital surveillance while safeguarding privacy and equity
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