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

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, United States

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

3 San Diego Supercomputer Center, San Diego, CA, United States

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

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

Corresponding Author:

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