Published on in Vol 24, No 1 (2022): January

Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis

Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis

Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis

Gabriela Gonzalez   1 , MD, MPH ;   Kristina Vaculik   2 , MPH ;   Carine Khalil   2 , PhD ;   Yuliya Zektser   3 , MD ;   Corey Arnold   4 , PhD ;   Christopher V Almario   2 , MD, MSHPM ;   Brennan Spiegel   2 , MD, MSHS ;   Jennifer Anger   5 , MD, MPH

1 Department of Urology, Davis School of Medicine, University of California, Davis, Sacramento, CA, United States

2 Cedars-Sinai Center for Outcomes Research and Education, Los Angeles, CA, United States

3 David Geffen School of Medicine, University of California, Los Angeles, CA, United States

4 Computational Diagnostics, Departments of Radiology and Pathology, University of California, Los Angeles, CA, United States

5 Department of Urology, University of California San Diego, La Jolla, CA, United States

Corresponding Author:

  • Gabriela Gonzalez, MD, MPH
  • Department of Urology
  • Davis School of Medicine
  • University of California, Davis
  • 4860 Y Street, Suite 3500
  • Sacramento, CA, 95817
  • United States
  • Phone: 1 9167342222
  • Email: drggonzalez@ucdavis.edu