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, US

2 School of Nursing, San Francisco State University , San Francisco, CA, US

3 Department of Economics, San Francisco State University , San Francisco, CA, US

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

*these authors contributed equally

Corresponding Author:

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