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)

0519675 - BC 2020 RIV CH eng J - Článek v odborném periodiku
Hönig, Václav - Švec, P. - Marek, L. - Mrkvička, T. - Zubríková, D. - Wittmann, M. - Masař, O. - Szturcova, D. - Růžek, Daniel - Pfister, K. - Grubhoffer, Libor
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. Roč. 16, č. 7 (2019), č. článku 1173. ISSN 1661-7827. E-ISSN 1660-4601
Grant CEP: GA ČR GD206/09/H026
Institucionální podpora: RVO:60077344
Klíčová slova: ixodes-ricinus ticks * burgdorferi sensu-lato * environmental-factors * information-systems * prevalence * diseases * density * epidemiology * prediction * abundance * tick * Lyme borreliosis * tick-borne encephalitis * Ixodes ricinus * risk modeling * geographical information systems
Obor OECD: Genetics and heredity (medical genetics to be 3)
Impakt faktor: 2.849, rok: 2019
Způsob publikování: Open access
https://www.mdpi.com/1660-4601/16/7/1173

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.
Trvalý link: http://hdl.handle.net/11104/0304671