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

Innovative Methods in Public Health and Surveillance (306) Infectious Diseases (non-STD/STI) (1485) Public (e)Health, Digital Epidemiology and Public Health Informatics (641) Surveillance Systems (428) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (788)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43790, first published .
Improving Surveillance of Human Tick-Borne Disease Risks: Spatial Analysis Using Multimodal Databases

Improving Surveillance of Human Tick-Borne Disease Risks: Spatial Analysis Using Multimodal Databases

Improving Surveillance of Human Tick-Borne Disease Risks: Spatial Analysis Using Multimodal Databases

Authors of this article:

Sarah P Maxwell1 Author Orcid Image ;   Chris Brooks2 Author Orcid Image ;   Dohyeong Kim1 Author Orcid Image ;   Connie L McNeely3 Author Orcid Image ;   Seonga Cho4 Author Orcid Image ;   Kevin C Thomas2 Author Orcid Image
Article Authors Cited by (4) Tweetations (7) Metrics

Sarah P Maxwell   1 , PhD ;   Chris Brooks   2 , PhD ;   Dohyeong Kim   1 , PhD ;   Connie L McNeely   3 , PhD ;   Seonga Cho   4 , MA ;   Kevin C Thomas   2 , PhD

1 School of Economic, Political and Policy Sciences, University of Texas at Dallas, Richardson, TX, United States

2 Laboratory for Human Neurobiology, Boston University School of Medicine, Boston, MA, United States

3 Schar School of Policy and Government, George Mason University, Fairfax, VA, United States

4 Department of Geography, University of California, Santa Barbara, Santa Barbara, CA, United States

Corresponding Author:

  • Sarah P Maxwell, PhD
  • School of Economic, Political and Policy Sciences
  • University of Texas at Dallas
  • 800 West Campbell Avenue
  • Richardson, TX, 75080
  • United States
  • Phone: 1 972-883-6469
  • Email: sarah.maxwell@utdallas.edu