Thesis Proposal
Harnessing Technology & Behavior for Smarter Public Health
This thesis explores how combining behavioral insights and digital health technologies, such as AI and biosensors, can revolutionize disease prevention, surveillance, and management. By integrating these approaches, the study aims to develop innovative interventions that enhance health outcomes and inform policy in a rapidly evolving public health landscape.
Click here: Join the Future of Epidemiology: Data, Behavior, and Innovation
This research examines the transformative potential of integrating behavioral and technological epidemiology to strengthen health systems globally. Through a mixed-method approach, including case studies, data analysis, and conceptual modeling, the study demonstrates how real-time digital tools like AI, biosensors, and mobile health platforms can complement behavioral insights to improve disease surveillance, early intervention, and health promotion strategies. Emphasizing the importance of cross-sector collaboration, it highlights ethical considerations such as privacy and inclusivity. The proposed framework aims to optimize disease prevention, facilitate data-driven policymaking, and advance personalized health interventions. By fostering education in data literacy and behavioral sciences, this study positions itself to contribute significantly to the future of public health innovation aligned with global sustainability goals.
Atlantic International University
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