Scalable Health Labs

Towards Bio-Behavioral Medicine


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.

CovidSense is an ongoing study — please register by clicking the button below.


  • 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.
  • All adults can participate in this citizen science study at from anywhere – no app download needed. The participant register with their mobile phones, and then text messages with survey links are sent automatically by the system. The participants can click on the link and their browser is used to answer all questions. 
  • No private info will be shared. Only anonymized data will be used for all analysis.


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

As of June 23, 2020


Total Enrolled Participants (from 14 countries)


Total number of surveys completed


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.


[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