Predictive Map of Ixodes Ricinus High-incidence Habitats and a Tick-borne Encephalitis Risk Assessment Using Satellite Data
Overview
Affiliations
The main objective of this project was to predict Ixodes ricinus abundant habitats reliably as a means of tick-borne encephalitis (TBE) risk assessment for the prevention of this disease. The vegetation types were used as the indicators of an ecosystem suitable for tick occurrence, for TBE virus circulation and, accordingly, for the existence of natural foci of this infection. Remote sensing methods were used to determine the indicative plant cover. Satellite data covering an experimental area of 70 x 70 km in Central Bohemia, the Czech Republic, was acquired by the Landsat 5 TM scanner. Nine forest classes were recognized in the experimental area by successive supervised and unsupervised classifications and identified in a field-checking botanical survey. An epidemiological TBE map based on human cases contracted in the territory under study was exploited for the evaluation of risk in particular forest classes. Predictive maps are expressed both in digital and in printed forms at a scale of 1:300,000 for an overall risk evaluation and at a scale of 1:25,000 for a detailed local orientation.
The Historical Baseline of Hard Tick Records in Spain (1985-2024).
Estrada-Pena A, Martinez-Estellez M, Pradera C, Castella J Pathogens. 2025; 14(2).
PMID: 40005548 PMC: 11858077. DOI: 10.3390/pathogens14020173.
History of Arbovirus Research in the Czech Republic.
Hubalek Z Viruses. 2021; 13(11).
PMID: 34835140 PMC: 8622538. DOI: 10.3390/v13112334.
Management Options for -Associated Pathogens: A Review of Prevention Strategies.
cerny J, Lynn G, Hrnkova J, Golovchenko M, Rudenko N, Grubhoffer L Int J Environ Res Public Health. 2020; 17(6).
PMID: 32178257 PMC: 7143654. DOI: 10.3390/ijerph17061830.
Response to resources and parasites depends on health status in extensively grazed sheep.
Liddell C, Morgan E, Bull K, Ioannou C Proc Biol Sci. 2020; 287(1920):20192905.
PMID: 32019442 PMC: 7031671. DOI: 10.1098/rspb.2019.2905.
Honig V, Svec P, Marek L, Mrkvicka T, Dana Z, Wittmann M Int J Environ Res Public Health. 2019; 16(7).
PMID: 30986900 PMC: 6479554. DOI: 10.3390/ijerph16071173.