The COVID-CORE dataset, one of the COVID-19 Social Media datasets created by the U-M School of Information (UMSI) and MIDAS, contains a sequential sample of Tweets that have explicitly mentioned various synonyms, aliases, or hashtags of the COVID-19 disease, the SARS-CoV-2 virus, or the pandemic. The team curated a list of keywords to generate filtering queries. By applying these queries to the Decahose stream (~10% sequential sample) of Tweets, we are able to retrieve millions of Tweets per month. The extracted Tweets start January 1, 2020. COVID-19 datasets filtered for medical/health and social/economic impact will be available soon. Please contact the creators, Dr. Xuan Lu (firstname.lastname@example.org) and Dr. Qiaozhu Mei (email@example.com) for technical questions or for special needs of extraction. If you currently have access to the Twitter decahose, contact Kristin Burgard (firstname.lastname@example.org) to access the COVID-CORE. If you do not already have access to the Twitter decahose, you will need to first request access.
ICPSR has created a new archive for data examining the social, behavioral, public health, and economic impact of the novel coronavirus global pandemic. The COVID-19 Data Repository is a free, self-publishing option for any researcher or journalist who wants to share data related to COVID-19. The data will be available to any interested user for secondary analysis.
The Academic Data Science Alliance is working with partners to pull together data and data science resources related to the COVID-19 pandemic. This is a living list of resources and we welcome additions, suggestions, and collaborations. Please send additions, corrections, comments, and suggestions to us using this feedback form.
Offering the symptom survey datasets to academic and nonprofit researchers with a privacy-minded approach enables experts to generate more impactful insights to aid public health responses. Facebook and partner universities created a centralized webpage for researchers with more information about the symptom surveys and how they can use the data for their research.