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)
Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
30986900
PubMed Central
PMC6479554
DOI
10.3390/ijerph16071173
PII: ijerph16071173
Knihovny.cz E-zdroje
- Klíčová slova
- Ixodes ricinus, Lyme borreliosis, geographical information systems, risk modeling, tick, tick-borne encephalitis,
- MeSH
- geografické informační systémy MeSH
- incidence MeSH
- klíště mikrobiologie MeSH
- klíšťová encefalitida epidemiologie MeSH
- lidé MeSH
- lymeská nemoc epidemiologie MeSH
- nadmořská výška MeSH
- pravděpodobnost MeSH
- prevalence MeSH
- roční období MeSH
- teplota MeSH
- viry klíšťové encefalitidy MeSH
- zvířata MeSH
- Check Tag
- lidé MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
- Evropa MeSH
- Německo epidemiologie MeSH
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.
Faculty of Science University of South Bohemia Branisovska 31 370 05 Ceske Budejovice Czech Republic
Institute of Parasitology Slovak Academy of Sciences Hlinkova 3 040 01 Kosice Slovakia
Veterinary Research Institute Hudcova 296 621 00 Brno Czech Republic
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