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.orgno 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

Dr. Ashok Veeraraghavan

Professor, ECE

Dr. Nidal Moukaddam

Dr. Nidal Moukaddam

Psychiatry, Baylor College of Medicine

Dr. Ashutosh Sabharwal

Dr. Ashutosh Sabharwal

Chair and Professor, ECE

Mr. R. Matt Barnett

Mr. R. Matt Barnett

Senior Research Programmer (CRC), Scalable Health Labs

Mr. Anil Kumar Vadathya

Mr. Anil Kumar Vadathya

Research Engineer, Scalable Health Labs

Dr. Vishwanath Saragadam

Dr. Vishwanath Saragadam

Post-doctoral Researcher, ECE

Ms. Mahsan Abbasi

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