What can machine learning offer to COVID-19 researchers?

SF Bay ACM Chapter
SF Bay ACM Chapter
Public group

Online event

This event has passed


By Rajiv Bhatia, MD, MPH, Stanford University

The event is jointly organized by ValleyML and SF Bay ACM.

7:00 Announcements, Chapter Election and Presentation

ZOOM link: For SFBay ACM members only. If you have not received the invitation, but wish to joint online before the meeting time, please click http://www.sfbayacm.org/join-us/ and send your receipt to Bill to vote for our new executive council.

Youtube live stream: https://youtu.be/JEpV9T8jM1E

Before the event, please contribute your perspectives by taking the 12 multiple choice Covid-19 Open Questions Survey using group number[masked]https://docs.google.com/forms/d/e/1FAIpQLSch_XdCZVms4VN-eMgBBIMHfTKO9bxrLNM8jqsC0SAcX6v2xA/viewform
More about the Project:

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 Bio

Dr. Rajiv Bhatia is a physician and internationally recognized health systems innovator. From 1998 through 2013, he led San Francisco's pioneering work on health impact assessment (HIA), community health indicators, and open civic data — all strategies to generate actionable civic intelligence on the health externalities of social and economic systems beyond healthcare. He currently works as a practicing primary care physician and as a consultant to civil society organizations, healthcare systems, and governments designing and implementing informatics practices to address the community, economic, and environmental roots of health.

Some Reading

The Pandemic Doesn't Have to Be This Confusing https://t.co/4N687Gm5IH
Projecting the transmission dynamics of SARS-CoV-2 through the post pandemic period https://t.co/RR8kAH5BJ7
COVIDView Weekly Summary https://bit.ly/2ViFflZ
Hospitalization Rates and Characteristics of Patients Hospitalized with Laboratory-Confirmed Coronavirus Disease 2019 https://www.cdc.gov/mmwr/volumes/69/wr/mm6915e3.htm
Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2) https://science.sciencemag.org/content/368/6490/489
COVID-induced economic uncertainty and its consequences | VOX, CEPR Policy Portal https://voxeu.org/article/covid-induced-economic-uncertainty-and-its-consequences
My Health Today, Or Your Health Tomorrow - Rajiv Bhatia, MD https://medium.com/@rajivbhatia/my-health-today-or-your-health-tomorrow-3d9948135d49
If the world fails to protect the economy, COVID-19 will damage health not just now but also in the future https://t.co/RgM1xfAQ2q
Unexpected Scientific Insights into COVID-19 From AI Machine Learning Tool https://t.co/FtYaTKY7Ny
More readings please see the comment section.