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It has become imperative to disrupt viral transmission by proactively guiding individual behavior in a targeted approach. While broad population-oriented technologies such as digital contact tracing and vaccine passport apps have been tried, advanced privacy-preserving approaches are needed to ingest user information in real-time, and better adapt to changing epidemiological circumstances. In response, this presentation: 1) introduces guided self-regulation as a possible means of disrupting viral transmission via the use of digital technology, and 2) outlines a prototype Rapid Prediction and Response System designed to facilitate guided self-regulation in an advanced privacy-preserving approach.
{"references": ["Sweeney, J., and Vervest, P., \"Disrupting Viral Transmission by Facilitating Guided Self-Regulation\". International Conference on Information Systems (ICIS) 2021 Proceedings. 13. (2021) https://aisel.aisnet.org/icis2021/is_health/is_health/13", "Sweeney, J., Srinivasan, K., and Vervest, P. \"A Rapid Prediction and Response System (RPARS) to Facilitate Guided Self-Regulation During Pandemics\", 17th International Conference on Design Science Research in Information Systems and Technology (2022)"]}
Guided Self-Regulation, Privacy Preservation, Agent-based Simulation, Viral Transmission, Digital Technology, Public Health, Pandemic Prevention.
Guided Self-Regulation, Privacy Preservation, Agent-based Simulation, Viral Transmission, Digital Technology, Public Health, Pandemic Prevention.
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