CoviDash-SM: A PUBLIC COVID19 DASHBOARD FOR SOCIAL MEDIA DATA-BASED
RESEARCH AND SURVEILLANCE
Sahithi Lakamana, MS, Mohammed Ali Al-Garadi, PhD, Yuan-Chi Yang, PhD, Abeed Sarker, PhD
Department of Biomedical Informatics, School of Medicine, Emory University, Atlanta, GA 30322
Social media is of particularly high
utility during the COVID19 pandemic
as it has become the primary mode
of communication for many.
Social media is rich with COVID19
related information, which can be
characterized and curated via natural
language processing (NLP) and
machine learning methods.
Our dashboards (global & US) will
provide aggregated statistics derived
via NLP methods.
Data Collected: 346,179,203
Self Reports: 167,845
Data Collected: 1,522,833
Self Reports: 3,505
DASHBOARD LINKS & CONTACTS
Dashboards can be accessed at:
Sentiment Analysis Syndromic SurveillanceTopic Modelling