{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T01:19:27Z","timestamp":1788311967802,"version":"build-2803163510"},"reference-count":49,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T00:00:00Z","timestamp":1679961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Microorganisms"],"abstract":"<jats:p>The extent of tick-borne diseases (TBDs) in the United States is largely unknown and underreported. Equitable diagnostic and treatment options may vary by geographic location. Triangulating multi-modal data sources informed by a One Health approach provides robust proxies for human TBD risk. Using data from the Indiana Department of Natural Resources collected from hunters during the white-tailed deer (Odocoileus virginianus) hunting season and other sources, we employ a mixed-methods approach based on thematic mapping and mixed effects modelling to determine if deer population density aligns with official disease data at the county level from (1) positive canine serological reports for, anaplasmosis, and Lyme Disease (LD); (2) positive human cases of ehrlichiosis, anaplasmosis, LD, and Spotted Fever rickettsioses; and (3) tick infectivity. We propose the need for multimodal data analysis using a variety of potential proxies to better estimate disease risk and inform public health policy and practice. We find similar spatial distributions between deer population density and human and canine TBDs in northeastern and southern Indiana, which are rural and mixed geographic areas. Overall, LD is more prevalent in the northwest, central-western, and southeastern counties, while ehrlichiosis is more common in the southern counties. These findings hold true across humans, canines, and deer.<\/jats:p>","DOI":"10.3390\/microorganisms11040865","type":"journal-article","created":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T04:37:15Z","timestamp":1679978235000},"page":"865","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Understanding Habitats and Environmental Conditions of White-Tailed Deer Population Density and Public Health Data to Aid in Assessing Human Tick-Borne Disease Risk"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2452-6114","authenticated-orcid":false,"given":"Sarah P.","family":"Maxwell","sequence":"first","affiliation":[{"name":"School of Economic, Political & Policy Sciences, University of Texas at Dallas, Richardson, TX 75080, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9511-5390","authenticated-orcid":false,"given":"Chris","family":"Brooks","sequence":"additional","affiliation":[{"name":"Laboratory for Human Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pyung","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Economic, Political & Policy Sciences, University of Texas at Dallas, Richardson, TX 75080, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1428-1451","authenticated-orcid":false,"given":"Dohyeong","family":"Kim","sequence":"additional","affiliation":[{"name":"School of Economic, Political & Policy Sciences, University of Texas at Dallas, Richardson, TX 75080, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Connie L.","family":"McNeely","sequence":"additional","affiliation":[{"name":"Center for Science, Technology, and Innovation Policy, George Mason University, Arlington, VA 22201, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kevin","family":"Thomas","sequence":"additional","affiliation":[{"name":"Laboratory for Human Neurobiology, Boston University School of Medicine, Boston, MA 02118, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"114041","DOI":"10.1088\/1748-9326\/ac9ece","article-title":"Linking Lyme disease ecology and epidemiology: Reservoir host identity, not richness, determines tick infection and human disease in California","volume":"17","author":"MacDonald","year":"2022","journal-title":"Environ. 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