Researchers in Canada and the U.S. have demonstrated the potential of digital contact tracing technology in mitigating the COVID-19 pandemic by modeling wearable sensor deployments.
The team designed a compartmental epidemiological model based on a Susceptible, Exposed, Infectious, Removed (SEIR) framework, in which wearables alerted users to potential infection and urged them to seek laboratory-based tests and self-quarantine.
Researchers simulated wearable sensor deployment scenarios during Canada's second COVID-19 pandemic wave; the results suggested deployment eased the burden of infection by shrinking the pool of infectious individuals, although this was heavily dependent on detection algorithm specificity.
The researchers concluded that wearable deployment is generally more beneficial than broad antigen test-based screening approaches.
From News-Medical Life Sciences
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