Digital SARS-CoV-2 Detection Among Hospital Employees: Participatory Surveillance Study.
Onicio LealThomas EggerMatthias SchlegelDomenica FluryJohannes SumerWerner C AlbrichBaharak Babouee FluryStefan P KusterPietro VernazzaChristian R KahlertPhilipp P KohlerPublished in: JMIR public health and surveillance (2021)
Loss of taste was the symptom that was most aligned with COVID-19 activity at the population level. At the individual level-using machine learning-based random forest classification-reporting loss of taste and limb/muscle pain as well as the absence of runny nose and red eyes were the best predictors of COVID-19.
Keyphrases
- sars cov
- coronavirus disease
- respiratory syndrome coronavirus
- chronic pain
- adverse drug
- machine learning
- public health
- climate change
- pain management
- skeletal muscle
- optical coherence tomography
- emergency department
- neuropathic pain
- loop mediated isothermal amplification
- label free
- patient reported
- spinal cord
- cataract surgery
- sensitive detection