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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)

Bibliographic Data

ID15514972
AuthorsVáclav Hönig (0000-0003-0469-4604, University of South Bohemia in České Budějovice, corresponding author), Pavel Švec (0000-0001-9789-292X, VSB - Technical University of Ostrava), Lukáš Marek (0000-0001-5473-8930, University of Canterbury), Tomáš Mrkvička (0000-0003-1613-2780, University of South Bohemia in České Budějovice), Dana Zubríková (0000-0003-0882-7806, Slovak Academy of Sciences), Maria Wittmann (Ludwig-Maximilians-Universität München), Ondřej Masař (VSB - Technical University of Ostrava), Daniela Szturcová (0000-0003-3294-8122, VSB - Technical University of Ostrava), Daniel Růžek (0000-0003-4655-2380, University of South Bohemia in České Budějovice), Kurt Pfister (Ludwig-Maximilians-Universität München), Libor Grubhoffer (0000-0003-0885-1849, University of South Bohemia in České Budějovice)
Year2019
Volume16
Issue7
Pages1173-1173
Publication date2019-04-02
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph16071173
PMID30986900
OpenAlexW2927389510
LanguageEN
References cited57

In 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

Amblyomma variegatum · Biology · Czech · Encephalitis · Geography · Ixodes ricinus · Ixodidae · Lyme disease · Tick · Tick-borne disease · Tick-borne encephalitis · Vector (molecular biology · Veterinary medicine · Medicine · Vector-Borne Animal Diseases · Vector-borne infectious diseases · Viral Infections and Vectors · Ecology · Forestry · Virology

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