Towards a Unilateral Sensing System for Detecting Person-to-Person Contacts
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 design...
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| Format: | Others |
| Language: | English |
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University of North Texas
2018
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| Online Access: | https://digital.library.unt.edu/ark:/67531/metadc1703441/ |