Predictive map of Ixodes ricinus high-incidence habitats and a tick-borne encephalitis risk assessment using satellite data.

@article{citeulike:276952, abstract = {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.}, address = {School of Public Health, Postgraduate Medical School, Prague, Czech Republic.}, author = {Daniel, M. and Kol\'{a}r, J. and Zeman, P. and Pavelka, K. and S\'{a}dlo, J. }, citeulike-article-id = {276952}, issn = {0168-8162}, journal = {Exp Appl Acarol}, keywords = {disease, encephalitis, habitat, ixodes, remote-sensing, risk}, month = {July}, number = {7}, pages = {417--433}, posted-at = {2005-08-08 20:18:52}, priority = {2}, title = {Predictive map of Ixodes ricinus high-incidence habitats and a tick-borne encephalitis risk assessment using satellite data.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/9680691}, volume = {22}, year = {1998} }

TY - JOUR ID - citeulike:276952 L3 - citeulike-article-id:276952 TI - Predictive map of Ixodes ricinus high-incidence habitats and a tick-borne encephalitis risk assessment using satellite data. JF - Exp Appl Acarol VL - 22 IS - 7 SP - 417 EP - 433 AD - School of Public Health, Postgraduate Medical School, Prague, Czech Republic. SN - 0168-8162 N2 - 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. KW - disease KW - encephalitis KW - habitat KW - ixodes KW - remote-sensing KW - risk AU - Daniel, M AU - Kolár, J AU - Zeman, P AU - Pavelka, K AU - Sádlo, J PY - 1998/07// UR - http://view.ncbi.nlm.nih.gov/pubmed/9680691 ER -