Since April 2020, Delphi has conducted a voluntary survey about COVID-19, distributed daily to users in the United States via a partnership with Facebook. This survey asks respondents about COVID-like symptoms, their behavior (such as social distancing), mental health, and economic and health impacts they have experienced as a result of the pandemic. A high-level overview of the survey is posted on the COVIDcast website.
The survey results dashboard
provides a high-level summary of survey results. Geographically aggregated data
from this survey is publicly available through the COVIDcast API
fb-survey data source. Demographic breakdowns of survey
data are publicly available as downloadable contingency tables.
This documentation describes the survey items, data coding, data distribution, and the survey weights computed by Facebook. It also documents the individual response data, which is available to researchers with a signed Data Use Agreement. If you are a researcher and would like to get access to the data, see our page on getting data access.
If you have questions about the survey or getting access to data, contact us at firstname.lastname@example.org.
The COVID-19 Trends and Impact Survey (CTIS) is a project of the Delphi Group at Carnegie Mellon University. Team members include:
- Alex Reinhart, Principal Investigator
- Wichada La Motte-Kerr, Survey Coordinator
- Robin Mejia, survey advisor
- Nat DeFries, statistical developer and data engineer
- plus support from many members of the Delphi team
The survey protocol is reviewed by the Carnegie Mellon University Institutional Review Board.
The support of several institutions makes the survey possible. Facebook supports the survey through recruitment (participants are invited via their News Feed), survey sampling and weighting procedures, technical assistance in survey design and implementation, and coordination with researchers and public health officials. The University of Maryland’s Social Data Science Center conducts a global version of the survey, and we coordinate closely on survey design and implementation. Delphi collects, aggregates, and distributes the US survey data, and retains ultimate responsibility for the US survey instrument and data.
We develop the survey collaboratively with data users, public health officials, and others. If you are interested in getting involved, see our collaboration and survey revision information.
Researchers who use the survey data for research are asked to credit and cite the survey in publications based on the data. Specifically, we ask that you:
- Include the acknowledgment “This research is based on survey results from Carnegie Mellon University’s Delphi Group.”
Cite this web page for details about the survey. For example, you may cite it as
Delphi Group (2021). COVID-19 Trends and Impact Survey. https://cmu-delphi.github.io/delphi-epidata/symptom-survey/
A journal article describing the survey and its methods is currently in preparation, and we will update this page when it is available so that you can cite it instead.
- The data use agreement requires that if you disclose survey microdata, Delphi must agree on the aggregation method that you will use to ensure reported estimates do not disclose any individual identifiable information, including individual survey results. If you are unsure whether a particular aggregation will prevent disclosure of individual survey results, please email us at email@example.com.
- Finally, send a copy of your publication, once it appears publicly as a preprint or journal article, to firstname.lastname@example.org.
When referring to the survey in text, we prefer the following formats:
- Long form (such as in an introduction or methods description): “The Delphi Group at Carnegie Mellon University U.S. COVID-19 Trends and Impact Survey, in partnership with Facebook”.
- Short form (used after the long form has been introduced): “The U.S. COVID-19 Trends and Impact Survey”
- Acronym form: “Delphi US CTIS”
Prior to July 2021, the survey was known as the COVID Symptom Survey (CSS), and some older documentation and publication may still refer to this name. We prefer that new publications and materials refer to the new name.
Table of contents
- Getting Data Access
- Collaboration and Survey Revision
- SFTP Server Access
- Response Files
- Contingency Tables
- Survey Weights
- Questions and Coding
- Survey Modules & Randomization
- Data and Sampling Errors
- Survey Limitations