Model of Risk of Exposure to Lyme Borreliosis and Tick-Borne Encephalitis Virus-Infected Ticks in the Border Area of the Czech Republic (South Bohemia) and Germany (Lower Bavaria and Upper Palatinate)

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dc.contributor.authorHönig V
dc.contributor.authorŠvec P
dc.contributor.authorMarek L
dc.contributor.authorMrkvička T
dc.contributor.authorDana Z
dc.contributor.authorWittmann M
dc.contributor.authorMasař O
dc.contributor.authorSzturcová D
dc.contributor.authorRůžek D
dc.contributor.authorPfister K
dc.contributor.authorGrubhoffer L
dc.date.accessioned2019-05-21T01:09:31Z
dc.date.available2019-05-21T01:09:31Z
dc.date.issued2019en
dc.date.updated2019-04-04T02:04:08Z
dc.description.abstractIn Europe, Lyme borreliosis (LB) and tick-borne encephalitis (TBE) are the two vector-borne diseases with the largest impact on human health. Based on data on the density of host-seeking Ixodes ricinus ticks and pathogen prevalence and using a variety of environmental data, we have created an acarological risk model for a region where both diseases are endemic (Czech Republic—South Bohemia and Germany—Lower Bavaria, Upper Palatinate). The data on tick density were acquired by flagging 50 sampling sites three times in a single season. Prevalence of the causative agents of LB and TBE was determined. Data on environmental variables (e.g., altitude, vegetation cover, NDVI, land surface temperature) were obtained from various sources and processed using geographical information systems. Generalized linear models were used to estimate tick density, probability of tick infection, and density of infected ticks for the whole area. A significantly higher incidence of human TBE cases was recorded in South Bohemia compared to Bavarian regions, which correlated with a lower tick density in Bavaria. However, the differences in pathogen prevalence rates were not significant. The model outputs were made available to the public in the form of risk maps, indicating the distribution of tick-borne disease risk in space.en
dc.identifier.citationHönig V, Švec P, Marek L, Mrkvička T, Dana Z, Wittmann M, Masař O, Szturcová D, Růžek D, Pfister K, Grubhoffer L Model of Risk of Exposure to Lyme Borreliosis and Tick-Borne Encephalitis Virus-Infected Ticks in the Border Area of the Czech Republic (South Bohemia) and Germany (Lower Bavaria and Upper Palatinate). International Journal of Environmental Research and Public Health. 16(7). 1173-1173.en
dc.identifier.doihttps://doi.org/10.3390/ijerph16071173
dc.identifier.issn1660-4601
dc.identifier.urihttp://hdl.handle.net/10092/16740
dc.languageEnglish
dc.language.isoen
dc.publisherMDPI AGen
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en
dc.subjectticken
dc.subjectLyme borreliosisen
dc.subjecttick-borne encephalitisen
dc.subjectIxodes ricinusen
dc.subjectgeographical information systemsen
dc.subjectrisk modelingen
dc.subject.anzsrcFields of Research::32 - Biomedical and clinical sciences::3207 - Medical microbiology::320704 - Medical parasitologyen
dc.subject.anzsrcFields of Research::40 - Engineering::4013 - Geomatic engineering::401302 - Geospatial information systems and geospatial data modellingen
dc.subject.anzsrcField of Research::04 - Earth Sciences::0406 - Physical Geography and Environmental Geoscience::040699 - Physical Geography and Environmental Geoscience not elsewhere classifieden
dc.titleModel of Risk of Exposure to Lyme Borreliosis and Tick-Borne Encephalitis Virus-Infected Ticks in the Border Area of the Czech Republic (South Bohemia) and Germany (Lower Bavaria and Upper Palatinate)en
dc.typeJournal Articleen
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