Published on in Vol 6, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32360, first published .
Quantifying the Quality of Web-Based Health Information on Student Health Center Websites Using a Software Tool: Design and Development Study

Quantifying the Quality of Web-Based Health Information on Student Health Center Websites Using a Software Tool: Design and Development Study

Quantifying the Quality of Web-Based Health Information on Student Health Center Websites Using a Software Tool: Design and Development Study

Anagha Kulkarni   1 , PhD ;   Mike Wong   1 , MSc ;   Tejasvi Belsare   1 , MSc ;   Risha Shah   1 , MSc ;   Diana Yu Yu   1 , BSc ;   Bera Coskun   1 , BSc ;   Carrie Holschuh   2 * , PhD ;   Venoo Kakar   3 * , PhD ;   Sepideh Modrek   3 * , PhD ;   Anastasia Smirnova   4 * , PhD

1 Department of Computer Science, San Francisco State University, San Francisco, CA, United States

2 School of Nursing, San Francisco State University, San Francisco, CA, United States

3 Department of Economics, San Francisco State University, San Francisco, CA, United States

4 Department of English Language and Literature, San Francisco State University, San Francisco, CA, United States

*these authors contributed equally

Corresponding Author:

  • Anagha Kulkarni, PhD
  • Department of Computer Science
  • San Francisco State University
  • 1600 Holloway Ave
  • San Francisco, CA, 94132
  • United States
  • Phone: 1 4153381008
  • Email: ak@sfsu.edu