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<pubDate>Thu, 21 Aug 2008 14:06:08 BST</pubDate>


	<title>CiteULike: neteler's Kolár</title>
	<description>CiteULike: neteler's Kolár</description>


	<link>http://www.citeulike.org/user/neteler/author/Kolár</link>
	<dc:publisher>CiteULike.org</dc:publisher>
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        <rdf:li rdf:resource="http://www.citeulike.org/user/neteler/article/262545"/>

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<item rdf:about="http://www.citeulike.org/user/neteler/article/276952">
    <title>Predictive map of Ixodes ricinus high-incidence habitats and a tick-borne encephalitis risk assessment using satellite data.</title>
    <link>http://www.citeulike.org/user/neteler/article/276952</link>
    <description>&lt;i&gt;Exp Appl Acarol, Vol. 22, No. 7. (July 1998), pp. 417-433.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;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.</description>
    <dc:title>Predictive map of Ixodes ricinus high-incidence habitats and a tick-borne encephalitis risk assessment using satellite data.</dc:title>

    <dc:creator>M Daniel</dc:creator>
    <dc:creator>J Kolár</dc:creator>
    <dc:creator>P Zeman</dc:creator>
    <dc:creator>K Pavelka</dc:creator>
    <dc:creator>J Sádlo</dc:creator>
    <dc:source>Exp Appl Acarol, Vol. 22, No. 7. (July 1998), pp. 417-433.</dc:source>
    <dc:date>2005-08-08T19:18:15-00:00</dc:date>
    <prism:publicationYear>1998</prism:publicationYear>
    <prism:publicationName>Exp Appl Acarol</prism:publicationName>
    <prism:issn>0168-8162</prism:issn>
    <prism:volume>22</prism:volume>
    <prism:number>7</prism:number>
    <prism:startingPage>417</prism:startingPage>
    <prism:endingPage>433</prism:endingPage>
    <prism:category>disease</prism:category>
    <prism:category>encephalitis</prism:category>
    <prism:category>habitat</prism:category>
    <prism:category>ixodes</prism:category>
    <prism:category>remote-sensing</prism:category>
    <prism:category>risk</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/neteler/article/263984">
    <title>GIS tools for tick and tick-borne disease occurrence.</title>
    <link>http://www.citeulike.org/user/neteler/article/263984</link>
    <description>&lt;i&gt;Parasitology, Vol. 129 Suppl (2004)&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Geographic information systems (GIS), their fundamental components and technologies are described. GIS is a computer-based system enabling the storage, integration, query, display and analysis of data using information on data location. Further, remote sensing (RS) methods and their application in landscape characterization are described. Landscape pattern analysis, combined with statistical analysis, allows the determination of landscape predictors of disease risk. This makes RS/GIS a powerful set of tools for disease surveillance, enabling the prediction of potential disease outbreaks and targeting intervention programs. The 'pre-GIS era' is briefly described including the early mapping of tick distribution, analyses and the display of biogeographical and medical data. The theory of natural focality of diseases (NFD) is explained and its significance in tick-borne diseases (TBD) research is discussed. Many problems of tick ecology and TBD epidemiology and epizootology have been addressed by means of GIS and examples of these studies are presented and discussed.</description>
    <dc:title>GIS tools for tick and tick-borne disease occurrence.</dc:title>

    <dc:creator>M Daniel</dc:creator>
    <dc:creator>J Kolár</dc:creator>
    <dc:creator>P Zeman</dc:creator>
    <dc:source>Parasitology, Vol. 129 Suppl (2004)</dc:source>
    <dc:date>2005-07-24T22:32:25-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Parasitology</prism:publicationName>
    <prism:issn>0031-1820</prism:issn>
    <prism:volume>129 Suppl</prism:volume>
    <prism:category>disease</prism:category>
    <prism:category>gis</prism:category>
    <prism:category>machine-learning</prism:category>
    <prism:category>tick-borne</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/neteler/article/262545">
    <title>Tick-borne encephalitis and Lyme borreliosis: comparison of habitat risk assessments using satellite data (an experience from the Central Bohemian region of the Czech Republic).</title>
    <link>http://www.citeulike.org/user/neteler/article/262545</link>
    <description>&lt;i&gt;Cent Eur J Public Health, Vol. 7, No. 1. (February 1999), pp. 35-39.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;The vegetation types have been used as the indicators of an ecosystem suitable for high incidence of Ixodes ricinus ticks and their hosts, for the circulation of tick-borne diseases pathogens and, accordingly, for the existence 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 wood types, both TBE and LB data suggest a specific position of the heterogeneous deciduous wood class (including mainly young 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).</description>
    <dc:title>Tick-borne encephalitis and Lyme borreliosis: comparison of habitat risk assessments using satellite data (an experience from the Central Bohemian region of the Czech Republic).</dc:title>

    <dc:creator>M Daniel</dc:creator>
    <dc:creator>J Kolár</dc:creator>
    <dc:creator>P Zeman</dc:creator>
    <dc:creator>K Pavelka</dc:creator>
    <dc:creator>J Sádlo</dc:creator>
    <dc:source>Cent Eur J Public Health, Vol. 7, No. 1. (February 1999), pp. 35-39.</dc:source>
    <dc:date>2005-07-22T14:17:08-00:00</dc:date>
    <prism:publicationYear>1999</prism:publicationYear>
    <prism:publicationName>Cent Eur J Public Health</prism:publicationName>
    <prism:issn>1210-7778</prism:issn>
    <prism:volume>7</prism:volume>
    <prism:number>1</prism:number>
    <prism:startingPage>35</prism:startingPage>
    <prism:endingPage>39</prism:endingPage>
    <prism:category>disease</prism:category>
    <prism:category>remote-sensing</prism:category>
    <prism:category>risk</prism:category>
    <prism:category>ticks</prism:category>
</item>



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