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)

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F19%3A43899312" target="_blank" >RIV/60076658:12310/19:43899312 - isvavai.cz</a>

Alternative codes found

RIV/60076658:12510/19:43899312

Result on the web

<a href="https://www.mdpi.com/1660-4601/16/7/1173/htm" target="_blank" >https://www.mdpi.com/1660-4601/16/7/1173/htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/ijerph16071173" target="_blank" >10.3390/ijerph16071173</a>

Result language

angličtina

Original language name

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)

Original language description

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 RepublicSouth Bohemia and GermanyLower 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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30302 - Epidemiology

Project

<a href="/en/project/GD206%2F09%2FH026" target="_blank" >GD206/09/H026: Parasite-host relationships and the evolution of parasitism</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

International Journal of Environmental Research and Public Health

ISSN

1661-7827

e-ISSN

—

Volume of the periodical

16

Issue of the periodical within the volume

7

Country of publishing house

CH - SWITZERLAND

Number of pages

17

Pages from-to

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UT code for WoS article

000465595800086

EID of the result in the Scopus database

2-s2.0-85064920982