Facebook, Carnegie Mellon, U of Maryland team up on COVID-19 symptom data challenge

© Copyright ASC COMMUNICATIONS 2020. Intrigued in LINKING to or REPRINTING this material? View our policies by clicking here.

Difficulty participants will utilize aggregated data from the COVID-19 Symptom Surveys, which were launched in the spring by Facebook Data for Good, University of Marylands joint program in study method and Carnegie Mellon University. Considering that starting the surveys, the companies have actually gotten more than 25 million responses throughout 200-plus countries and territories, according to the Sept. 2 news release.

Applications for the very first stage of the difficulty will be accepted through Sept. 29. This phase needs individuals to summarize their method, techniques, analysis and findings of their analytic technique utilizing the symptom study information.

Participants will develop brand-new analytic techniques to improve situational awareness of coronavirus outbreaks. In addition to the symptom data, participants will also have access to publicly offered datasets to verify predictive abilities of the symptom data.

Facebook Data for Good, Carnegie Mellon University, University of Maryland are partnering with digital health company Catalyst to launch a COVID-19 sign information challenge that aims to support earlier detection of virus break outs.

More articles on data analytics: Texas city removes COVID-19 control panel from site after backlogged data dumpWSJ: Feds might publish names of medical facilities with missing COVID-19 dataThis much unusable and stale data is irresponsible: Florida drops Quest after backlog of 75K COVID-19 test outcomes.

© Copyright ASC COMMUNICATIONS 2020. Interested in LINKING to or REPRINTING this material? View our policies by clicking here.

Jackie Drees –
Wednesday, September 2nd, 2020
Print|Email.

” Symptom survey information has the prospective to point both policy makers and the public to one of the earliest indicators of the virus,” stated Farzad Mostashari, CEO of health tech startup Aledade and obstacle chair. “We think this difficulty is an amazing opportunity for members of the information analytics and visualization communities to utilize syndromic data to establish services that can support the nationwide COVID-19 action.”.