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Data analytics and machine learning for COVID-19 presentations and outcome; An internet based survey

COVID-19 Research Area(s): Diagnostics, Genomics & Transmission Dynamics

We designed an online anonymous survey to understand: (1) The clinical picture of COVID-19 infection among responders with positive test results including symptoms severity and duration, treatment received, hospitalization status and the final outcome. (2) Potential risk factors and comorbidities in COVID-19 infection. This is a study led by clinical colleagues at the US institution and the UBC team will only provide data/statistical analysis of anonymized data.

Post date: 
Oct 7, 2020