Activity of ticks
The incidence of tick-borne encephalitis
The incidences of Lyme borreliosi(LB)
Topographic basemapAdministrative division
The map portal integrates results of several years of cross-border co-operative research at the Faculty of Science University of South Bohemia, Institute of Parasitology Biology Centre AS CR, v.v.i., Ceske Budejovice and Institute of Comparative Tropical Medicine and Parasitology, Ludwig Maximilians University Munich, in cooperation with , Institute of Geoinformatics, Faculty of Mining and Geology, VŠB – Technical University.
Complex information on the project Ticks and Tick-borne Diseases in South Bohemia and Bavaria are available here including contacts. The main purpose of the map portal is to make the data on the occurrence of ticks and tick-borne pathogens in South Bohemia, Lower Bavaria and Upper Palatinate available to the public. Descriptions of the different map layers to be displayed are available here.
The map outputs present, apart from epidemiological data (numbers of disease cases), also visualizations of mathematical models of tick activity, probability of infection of a tick by the two most important and wide-spread pathogens (agents of Lyme borreliosis and tick-borne encephalitis). The distribution of ticks, tick-borne pathogens and tick-borne diseases is highly focal – the intensity of occurrence fluctuates in time and space. We are not able to estimate the occurrence of ticks and pathogens in each point of the mapped area, although the information on distribution of the risk is the most important one for the protection of public health. The best way, how to evaluate the risk of infection in the whole area is to apply mathematical models. Shortly, we estimate the selected parameters (tick activity, occurrence of tick-borne pathogens), than we identify the crucial factors, which influence these parameters (environmental factors like altitude, vegetation cover, temperature etc.) and express the relationships between the parameters and environmental factors mathematically. Subsequently, we are able to predict the values of the parameters (risk of tick occurrence, risk of infected tick occurrence) from the values of environmental factors.
Please be aware that mathematical models are only approximations of the real world mechanisms and hence have only limited accuracy. Moreover, they work with probability. Therefore the model results should be considered only as a guide to differentiate between high and low risk areas. There is no guarantee, you won´t meet an infected tick in a low risk region, only the probability is lower than in a high risk area. Therefore, it is advised to take the appropriate “anti-tick“ preventive measures even when entering a lower risk rated area.
In case, you are interested in our data, you have further questions, remarks or ideas for improvement, please don't hesitate and contact us!
If you would like to cite our research, please use some of these publications:
Honig, V. et al. 2015: Ticks and tick-borne pathogens in South Bohemia (Czech Republic) - Spatial variability in Ixodes ricinus abundance, Borrelia burgdorferi and tick-borne encephalitis virus prevalence. Ticks and Tick-borne Diseases. Vol. 6., No. 5., 559-567.
Švec, P. et al. 2013: Use of GIS in spatial epidemiology - tick borne-diseases as a model example. SGEM 2013 : 13th international multidisciplinary scientific geoconference, conference proceedings. [Book 2].
Švec, P. et al. 2009. Use of GIS for mapping of ticks and tick-borne pathogens in South Bohemia. Geografie, 114, Vol. 2009/3, pp. 157-168.