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

Innovative Methods in Public Health and Surveillance (383) Infectious Diseases (non-STD/STI) (1726) Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Surveillance Systems (514) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (997)

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 (8) Tweetations (7) Metrics

Journals

  1. Rowan S, Mohseni N, Chang M, Burger H, Peters M, Mir S. From Tick to Test: A Comprehensive Review of Tick-Borne Disease Diagnostics and Surveillance Methods in the United States. Life 2023;13(10):2048 View
  2. Vaz-Rodrigues R, Feo Brito F, Guzmán Rodríguez R, Mazuecos L, de la Fuente J. Allergic reactions associated with medically relevant arthropods. Annals of Medicine 2023;55(2) View
  3. Deshpande G, Beetch J, Heller J, Naqvi O, Kuhn K. Assessing the Influence of Climate Change and Environmental Factors on the Top Tick-Borne Diseases in the United States: A Systematic Review. Microorganisms 2023;12(1):50 View
  4. Kim P, Maxwell S, Parijat N, Kim D, McNeely C. Targeted Tick-Borne Disease Recognition: Assessing Risk for Improved Public Health. Healthcare 2024;12(10):984 View
  5. Tao M, Liu Y, Ling F, Ren J, Zhang R, Shi X, Guo S, Jiang J, Sun J. Factors Associated With the Spatial Distribution of Severe Fever With Thrombocytopenia Syndrome in Zhejiang Province, China: Risk Analysis Based on Maximum Entropy. JMIR Public Health and Surveillance 2024;10:e46070 View
  6. Angell K, Jarnefeld J, Schiffman E, Broadhurst M, Dong J, Degarege A, Cortinas R, Brett-Major D. Active and Passive Vector Surveillance Systems in Lyme Endemic Minnesota and Their Correlation to Human Disease. Journal of Public Health Management & Practice 2025;31(5):877 View
  7. Kelly P, Kwark R, Marick H, Davis J, Stark J, Madhava H, Dobler G, Moïsi J. Different environmental factors predict the occurrence of tick-borne encephalitis virus (TBEV) and reveal new potential risk areas across Europe via geospatial models. International Journal of Health Geographics 2025;24(1) View
  8. Kelly P, Willis S, Davidson A, Stark J, Moїsi J, Estrada-Peña A. Variables for habitat and vertebrate hosts of Ixodes scapularis are the best ecological predictors of the spatial spread of Lyme disease in the United States (2010–2019). Parasites & Vectors 2025;18(1) View