The vegetation types have been used as the indicators of an ecosystem suitable for high incidence of Ioxydes ricinus ticks and their hosts, for the circulation of tick-borne diseases pathogens and, accordingly, for the exixtence of natural foci of these infections, namely tick-borne encephalitis (TBE) and Lyme borreliosis (LB).
The method of remote sensing offers a suitable solution to this problem.
We attempted to prepare the habitat risk assessment maps on the territory (11,500 km2) of Central Bohemia (Czech Republic) using Landsat 5 TM imagery.
Nine forest classes have been recognized in the satellite data and further identified in a field checking botanical survey.
Beside the conclusions dealing with the importance of different plant types for I. ricinus occurrence, also the epidemiological TBE and LB maps based on human cases contracted in the territory under study were exploited for the evaluation of particular forest classes significance, and for the comparison of results achieved.
Apart from a general pattern of risk gradation from coniferous to deciduous stands and stand ecotones with highly heterogeneous structure).
Epidemiological significance of the other particular forest classes was assessed by the degrees of positive class-to-risk associations (see Table 1 and 2).
Mots-clés Pascal : Encéphalite à tique, Arbovirose, Virose, Infection, Lyme maladie, Borréliose, Spirochétose, Bactériose, Homme, Prévention, Etude comparative, Lutte sanitaire, Vecteur, Répartition géographique, Ixodes ricinus, Ixodidae, Ixodida, Parasitiformes, Acari, Arachnida, Arthropoda, Invertebrata, Facteur risque, République tchèque, Europe, Epidémiologie, Système nerveux pathologie, Système nerveux central pathologie, Encéphale pathologie
Mots-clés Pascal anglais : Tick borne encephalitis, Arbovirus disease, Viral disease, Infection, Lyme disease, Borrelia infection, Spirachaetosis, Bacteriosis, Human, Prevention, Comparative study, Sanitary control, Vector, Geographic distribution, Ixodes ricinus, Ixodidae, Ixodida, Parasitiformes, Acari, Arachnida, Arthropoda, Invertebrata, Risk factor, Czech Republic, Europe, Epidemiology, Nervous system diseases, Central nervous system disease, Cerebral disorder
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 99-0481717
Code Inist : 002B05B02L6. Création : 22/03/2000.