Towards a Unilateral Sensing System for Detecting Person-to-Person Contacts
Description:
The contact patterns among individuals can significantly affect the progress of an infectious outbreak within a population. Gathering data about these interaction and mixing patterns is essential to assess computational modeling of infectious diseases. Various self-report approaches have been designed in different studies to collect data about contact rates and patterns. Recent advances in sensing technology provide researchers with a bilateral automated data collection devices to facilitate co…
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Date:
December 2018
Creator:
Amara, Pavan Kumar
Partner:
UNT Libraries