Use of GIS for mapping of ticks and tick-borne pathogens in South Bohemia.

被引：0

作者：

Svec, Pavel ^{[1
]}

Hoenig, Vaclav ^{[2
,3
]}

Daniel, Milan ^{[4
]}

Danielova, Vlasta ^{[5
]}

Grubhoffer, Libor ^{[2
,3
]}

机构：

[1] Tech Univ Ostrava, Inst Geoinformatiky, VSB, Ostrava 70833, Czech Republic

[2] Jihoceske Univ, Prirodovedecka Fak, Ceske Budejovice 37005, Czech Republic

[3] Biol Ctr AV CR, Ceske Budejovice 37005, Czech Republic

[4] Inst Postgrad Uzdelavani Zdravotnictvi, Prague 10005 10, Czech Republic

[5] Statni Zdravotni Ustav, Prague 10042 10, Czech Republic

来源：

GEOGRAFIE | 2009年 / 114卷 / 03期

关键词：

GIS; ticks; tick-borne encephalitis; mapping; Lyme borreliosis; ArcGIS; RISK-ASSESSMENT; IXODES-RICINUS;

D O I：

暂无

中图分类号：

P9 [自然地理学]; K9 [地理];

学科分类号：

0705 ; 070501 ;

摘要：

P. Svec, V. Honig, M. Daniel, V. Danielova, L. Grubhoffer: Use of GIS for mapping of ticks and tick-borne pathogens in South Bohemia. - Geografie-Sbornik CGS, 114, 3, pp. 157-168 (2009). - Ticks and tick-borne diseases (TBD) represent a serious health risk in numerous European countries, including Czechia. The South Bohemian Region is a TBD high-risk area. The aims of the current project are: to map the distribution of ticks and tick-borne diseases in the South Bohemian Region, to identify the key factors determining their distribution and to use the obtained data for creation of a TBD risk prediction model. The current article deals with the use of the geographic information system (GIS) for selection of localities for field work (tick collections, estimation of tick activity). Data sources and methods of their processing are described, examples of the main outputs are presented, further possibilities of GIS use in the project are outlined. The field work confirmed GIS analysis as an efficient approach to identification of appropriate sites for field analysis of tick activity.

引用

页码：157 / 168

页数：12

共 24 条

[1]

Bucek A., 1999, GEOBIOCENOLOGIE

[2]

Daniel M, 2008, TICKS: BIOLOGY, DISEASE AND CONTROL, P377, DOI 10.1017/CBO9780511551802.018

[3] Predictive map of Ixodes vicinus high-incidence habitats and a tick-borne encephalitis risk assessment using satellite data [J].