What can machine learning offer COVID-19? - Livestream

Current Situation

- A novel virus, Covid-19, known to cause severe pneumonia and death, but with highly uncertain information on transmission behavior, human susceptibility, and immunity.
- Protective human behavioral and governmental responses driven by uncertainty and threat resulting in unprecedented economic disruption and unemployment.
- Secondary social and health harms including anxiety, delayed medical care, domestic violence, etc.
- Long term risks of maladaptive human behaviors, including economic depression, worsening social division and inequality.

Machine learning might ….

- Better understand or predict viral behavior both naturally and under different scenarios of control (e.g. disease modeling).
- Create an early warning indicator for hospital demand.
- Estimate real-time, location, specific individualized risks of Covid-19 disease at the individual, community, and business levels in real time. For example, what’s my risk of going to a restaurant in San Francisco tonight or taking a vacation to New York City.
- Sense where knowledge is converging and where uncertainty remains.
- Identify unexpected consequences, e.g. 3rd and 4th order effects, blind spots.

Speaker: Dr. Rajiv Bhatia, Physician

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