Artificial intelligence can help patients interpret hometests for COVID-19
At the time of writing this paper, COVID-19 pandemic continues to evolve. Despite tremendous amount of work across the globe, it is unclear if a vaccine will be available to the public or if other measures will be used country-wide and internationally. It is our belief that there will be a need to monitor symptoms, contacts, and movements of people for some time in order to slow spread of the disease.
The presented results are a combination of data collected as part of university efforts to control COVID-19 spread and a research project that aims at studying social distancing. In this work, we were unable to link movements to the actual COVID-19 cases, because of very few cases within the university population and none in the movement study cohort. Such linking would employ supervised learning to construct models for predicting risk of infection based on symptoms and movements.
Nivette A, Ribeaud D, Murray AL, Steinhoff A, Bechtiger L, Hepp U, … & Eisner M Non-compliance with COVID-19-related public health measures among young adults: insights from a longitudinal cohort study
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