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14 June 2023 Agent-based modeling for evaluation of a wearable-sensor-based disease surveillance network (Conference Presentation)
Ivan Stanish, Jane E. Valentine, Damon Duquaine, Joe Warfield, Ariel Greenberg, James Howard
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Proceedings Volume PC12548, Smart Biomedical and Physiological Sensor Technology XX; PC1254807 (2023) https://doi.org/10.1117/12.2663848
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States
Abstract
Public Health (PH) surveillance of disease outbreaks is slowed by delays in reporting and testing, potentially leading to increased morbidity and mortality. We propose a two-tier human sentinel network (HSN) of wearable sensors with algorithms processing physiological data generating alerts in response to infections. Individuals would be prompted to seek testing and alerts/results would be reported to a secure platform. Agent-Based Modeling results comparing detection timelines for traditional PH surveillance and the HSN indicate that an HSN covering ~5% of the population can identify the onset of the influenza season 5 – 14 days earlier than current surveillance approaches.
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Ivan Stanish, Jane E. Valentine, Damon Duquaine, Joe Warfield, Ariel Greenberg, and James Howard "Agent-based modeling for evaluation of a wearable-sensor-based disease surveillance network (Conference Presentation)", Proc. SPIE PC12548, Smart Biomedical and Physiological Sensor Technology XX, PC1254807 (14 June 2023); https://doi.org/10.1117/12.2663848
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KEYWORDS
Surveillance
Performance modeling
Diagnostic tests
Diagnostics
Pathogens
Sensors
Surveillance systems
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