This paper is in the following e-collection/theme issue:

Innovative Methods in Public Health and Surveillance (336) Quality/Credibility of eHealth Information and Trust Issues (544) Infodemiology and Infoveillance (1369) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (159) Pharmacovigilance (138)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53086, first published .
Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online

Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online

Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online

Authors of this article:

Amir Reza Ashraf1 Author Orcid Image ;   Tim Ken Mackey2, 3, 4 Author Orcid Image ;   András Fittler1 Author Orcid Image
Article Authors Cited by (3) Tweetations (6) Metrics

Amir Reza Ashraf   1 , PharmD ;   Tim Ken Mackey   2, 3, 4 , MAS, PhD ;   András Fittler   1 , PharmD, PhD

1 Department of Pharmaceutics, Faculty of Pharmacy, University of Pécs, Pécs, Hungary

2 Global Health Program, Department of Anthropology, University of California, La Jolla, CA, United States

3 Global Health Policy and Data Institute, San Diego, CA, United States

4 S-3 Research, San Diego, CA, United States

Corresponding Author:

  • Tim Ken Mackey, MAS, PhD
  • Global Health Program
  • Department of Anthropology
  • University of California
  • 9500 Gilman Dr.
  • MC: 0505
  • La Jolla, CA, 92093
  • United States
  • Phone: 1 9514914161
  • Email: tmackey@ucsd.edu