Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/35615
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dc.contributor.authorPayne, Kathleen V.-
dc.contributor.authorGriffin, Sean P.-
dc.contributor.authorLyon, Susan L.-
dc.contributor.authorLopez, Robin E.-
dc.contributor.authorWayant, Nicole M.-
dc.date.accessioned2020-02-20T14:11:15Z-
dc.date.available2020-02-20T14:11:15Z-
dc.date.issued2020-02-
dc.identifier.govdocERDC/GRL TR-20-2-
dc.identifier.urihttps://hdl.handle.net/11681/35615-
dc.identifier.urihttp://dx.doi.org/10.21079/11681/35615-
dc.descriptionTechnical Report-
dc.description.abstractThe purpose of this technical report is to present results of an investigation of the spatial distribution of the deer tick, Ixodes scapularis, and the three parasites it carries that cause serious diseases (Lyme disease, anaplasmosis, and babesiosis) in humans. The study used the maximum entropy (MaxEnt) species niche modeling technique to produce maps predicting the probability of the presence of Ixodes scapularis in the eastern United States. The model makes predictions based on tick and disease surveillance data from the Army Public Health Center, and environmental data collected from satellite remote sensing platforms. Geospatial analysis was also used to locate patterns between the disease-causing parasites. The resulting prediction maps of deer tick location can be used to inform vector interception planning, which attempts to lower the risk of disease-carrying ticks from infecting humans. The maps comparing the spatial distribution of the diseases related to deer ticks can be used as a launch point for further public health study into the drivers behind parasite spread, or to direct treatment resources.en_US
dc.description.sponsorshipUnited States. Army. Corps of Engineers.en_US
dc.description.tableofcontentsAbstract ................................ ................................ ................................ ................................ .......................... ii Figures ................................ ................................ ................................ ................................ ............................ iv Preface Preface ................................ ................................ ................................ ................................ ............................. v 1 Introduction ................................ ................................ ................................ ................................ ............ 1 1.1 1.1 Background ................................ ................................ ................................ .................... 1 1.2 1.2 Objective ................................ ................................ ................................ ........................ 1 1.3 1.3 Approach ................................ ................................ ................................ ........................ 2 2 Data and Methods ................................ ................................ ................................ ................................ 3 3 Results and Discussion ................................ ................................ ................................ ........................ 7 3.1 3.1 Habitat suitability model for Ixodes scapularis ................................ ............................ 7 3.2 3.2 Pathogen Presence Model for Borrelia burgdorferi ................................ ..................... 9 3.3 3.3 Pathogen presence model for Anaplasma phagocytophilum ................................ ... 12 3.4 3.4 Pathogen presence model for Babesia spp.. ................................ .............................. 14 3.5 3.5 Discussion of compared pathogen models ................................ ................................ 16 3.5.1 Probability of Borrelia burgdorferi presence vs. probability of Babesia spp. presence ..................................................................................................................................... 16 3.5.2 Probability of Borrelia burgdorferi presence vs. probability of Anaplasma phagocytophilum presence ....................................................................................................... 17 3.6 3.6 Limitations and Areas for Further Study ................................ ................................ .... 18 4 Summary ................................ ................................ ................................ ................................ ............... 20 References ................................ ................................ ................................ ................................ ................... 21 Appendix A: Distribution Maps ................................ ................................ ................................ ................. 23 Unit Conversion Factors ................................ ................................ ................................ ............................ 29 Acronyms ................................ ................................ ................................ ................................ ...................... 30 Report Documentation Page-
dc.format.extent38 pages / 3.593 Mb-
dc.format.mediumPDF/A-
dc.language.isoen_USen_US
dc.publisherGeospatial Research Laboratory (U.S.)en_US
dc.publisherEngineer Research and Development Center (U.S.)-
dc.relation.ispartofseriesTechnical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC/GRL TR-20-2-
dc.rightsApproved for Public Release; Distribution is Unlimited-
dc.sourceThis Digital Resource was created in Microsoft Word and Adobe Acrobat-
dc.subjectIxodes scapularis--Geographical distribution--Mathematical modelsen_US
dc.subjectHabitat (Ecology)--Mathematical modelsen_US
dc.subjectPathogensen_US
dc.subjectLyme diseaseen_US
dc.subjectMilitary basesen_US
dc.titleSpecies distribution modeling of Ixodes scapularis and associated pathogens in states east of the Mississippi Riveren_US
dc.typeReporten_US
Appears in Collections:Technical Report

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