CovidSense
CovidSense study is now complete. Please check this website for our analysis of the data and other updates.
For millions affected globally by Covid-19 – patients, caregivers, healthcare professionals and everyone else either stuck at home or having to work in this pandemic – mental well-being is now under threat. Rice University and Baylor College of Medicine researchers have joined forces in a citizen science project, CovidSense, to understand the Covid’s impact on people’s mental well-being.
Design
- CovidSense is an adaptive longitudinal study, that adapts to both the societal conditions and on the replies of each participant. This includes addition of new questions in some cases, change of frequency of questions and adapting to each participant’s state.
- No private info will be shared. Only anonymized data will be used for all analysis.
- All participants in this citizen science study registered at CovidSense.org – no app download was needed. The participants registered with their mobile phones, and then text messages with survey links were sent automatically by the system. The participants could click on the link and their browser was used to answer all questions.
As of December 31, 2020
| Total Enrolled Participants (from 22 countries) | 1190 |
| Total number of surveys completed | 18,783 |
Participant Demographics
Mental health conditions include depression, anxiety disorder, obsessive compulsive disorder (OCD), addiction (drugs, alcohol), bipolar disorder, or any other serious mental health issues
The Quick Inventory of Depressive Symptomatology (QIDS) [1, 2] rates depression symptoms via self-assessment
Team
Dr. Ashok Veeraraghavan
Professor, ECE
Dr. Nidal Moukaddam
Psychiatry, Baylor College of Medicine
Dr. Ashutosh Sabharwal
Chair and Professor, ECE
Mr. R. Matt Barnett
Senior Research Programmer (CRC), Scalable Health Labs
Mr. Anil Kumar Vadathya
Research Engineer, Scalable Health Labs
Dr. Vishwanath Saragadam
Post-doctoral Researcher, ECE
Ms. Mahsan Abbasi
Graduate Student, ECE
Reference
[1] Rush AJ, Giles DE, Schlesser MA, Fulton CL, Weissenburger J, Burns C. The Inventory for Depressive Symptomatology (IDS): preliminary findings. Psychiatry Res. 1986;18(1):65-87. doi:10.1016/0165-1781(86)90060-0
[2] Rush AJ, Trivedi MH, Ibrahim HM, et al. The 16-Item Quick Inventory of Depressive Symptomatology (QIDS), clinician rating (QIDS-C), and self-report (QIDS-SR): a psychometric evaluation in patients with chronic major depression [published correction appears in Biol Psychiatry. 2003 Sep 1;54(5):585]. Biol Psychiatry. 2003;54(5):573-583. doi:10.1016/s0006-3223(02)01866-8