A method for intelligent allocation of diagnostic testing by leveraging data from commercial wearable devices: a case study on COVID-19 - npj Digital Medicine

Smartwatches can help guide COVID-19 testing NaturePortfolio

). The superior performance of the ITA model using RHR-only features over the ITA model using steps-only and the ITA model using both steps and RHR features may be attributed to the nonspecific nature of the steps features, which can experience changes unrelated to COVID-19 .

We further explored how the ITA model performs in symptomatic versus asymptomatic COVID-19-positive individuals in each cohort. We considered participants to be symptomatic who reported any symptoms in the detection period or on the diagnostic test date.

In this work, we demonstrated that wearable device data can be used to strategically target the allocation of diagnostic tests to where they are most useful. This approach not only increases testing efficiency and allocation but also reduces the costs and supply chain burden of surveillance testing which is an ongoing challenge.

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