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

GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (95) Addiction Medicine (20) Descriptive Epidemiology and Population Size Estimates (87) Substance Abuse (383)

Published on in Vol 5, No 2 (2019): Apr-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12110, first published .
Detection of Spatiotemporal Prescription Opioid Hot Spots With Network Scan Statistics: Multistate Analysis

Detection of Spatiotemporal Prescription Opioid Hot Spots With Network Scan Statistics: Multistate Analysis

Detection of Spatiotemporal Prescription Opioid Hot Spots With Network Scan Statistics: Multistate Analysis

Authors of this article:

Arinjoy Basak1 Author Orcid Image ;   Jose Cadena2 Author Orcid Image ;   Achla Marathe3, 4 Author Orcid Image ;   Anil Vullikanti3, 5 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

Arinjoy Basak   1 , BE ;   Jose Cadena   2 , PhD ;   Achla Marathe   3, 4 , PhD ;   Anil Vullikanti   3, 5 , PhD

1 Biocomplexity Institute of Virginia Tech, Blacksburg, VA, United States

2 Lawrence Livermore National Laboratory, Livermore, CA, United States

3 Network Systems Science and Advanced Computing Division, Biocomplexity Institute and Initiative, University of Virginia, Charlottesville, VA, United States

4 Department of Public Health Sciences, University of Virginia, Charlottesville, VA, United States

5 Department of Computer Science, University of Virginia, Charlottesville, VA, United States

Corresponding Author:

  • Anil Vullikanti, PhD
  • Network Systems Science and Advanced Computing Division
  • Biocomplexity Institute and Initiative
  • University of Virginia
  • PO Box 400298
  • Charlottesville, VA, 22904
  • United States
  • Phone: 1 434 982 2200
  • Fax: 1 434 982 2214
  • Email: vsakumar@virginia.edu