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

Early Results in Infodemiology and Infoveillance (31) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1327) Opioid and Related Substance Abuse Crisis (76) Infodemiology and Infoveillance (1053) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (869) Development and Evaluation of Research Methods, Instruments and Tools (210)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42162, first published .
Estimating County-Level Overdose Rates Using Opioid-Related Twitter Data: Interdisciplinary Infodemiology Study

Estimating County-Level Overdose Rates Using Opioid-Related Twitter Data: Interdisciplinary Infodemiology Study

Estimating County-Level Overdose Rates Using Opioid-Related Twitter Data: Interdisciplinary Infodemiology Study

Authors of this article:

Raphael Cuomo 1, 2 Author Orcid Image ;   Vidya Purushothaman 2, 3 Author Orcid Image ;   Alec J Calac 1, 2 Author Orcid Image ;   Tiana McMann 2, 3, 4, 5 Author Orcid Image ;   Zhuoran Li 2, 3, 5 Author Orcid Image ;   Tim Mackey 2, 3, 4, 5 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics

Raphael Cuomo   1, 2 , MPH, PhD ;   Vidya Purushothaman   2, 3 , MBBS, MAS, MPH ;   Alec J Calac   1, 2 , BS ;   Tiana McMann   2, 3, 4, 5 , MAS ;   Zhuoran Li   2, 3, 5 , MS ;   Tim Mackey   2, 3, 4, 5 , MAS, PhD

1 School of Medicine, University of California, San Diego, La Jolla, CA, US

2 Global Health Policy and Data Institute, San Diego, CA, US

3 San Diego Supercomputer Center, San Diego, CA, US

4 Department of Anthropology, University of California, San Diego, La Jolla, CA, US

5 S-3 Research, San Diego, CA, US

Corresponding Author:

  • Raphael Cuomo, MPH, PhD
  • School of Medicine
  • University of California, San Diego
  • 9500 Gilman Dr
  • La Jolla, CA, 92093
  • US
  • Phone: 1 3104352218
  • Email: racuomo@ucsd.edu