IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i7p1173-d219115.html
   My bibliography  Save this article

Model of Risk of Exposure to Lyme Borreliosis and Tick-Borne Encephalitis Virus-Infected Ticks in the Border Area of the Czech Republic (South Bohemia) and Germany (Lower Bavaria and Upper Palatinate)

Author

Listed:
  • Václav Hönig

    (Institute of Parasitology, Biology Centre, Academy of Sciences of Czech Republic, Branisovska 31, 370 05 Ceske Budejovice, Czech Republic
    Faculty of Science, University of South Bohemia, Branisovska 31, 370 05 Ceske Budejovice, Czech Republic
    Veterinary Research Institute, Hudcova 296, 621 00 Brno, Czech Republic)

  • Pavel Švec

    (Department of Geoinformatics, VSB—Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic)

  • Lukáš Marek

    (GeoHealth Laboratory, Geospatial Research Institute, University of Canterbury, Private Bag 4800, Christchurch 8140, New Zealand)

  • Tomáš Mrkvička

    (Faculty of Economics, University of South Bohemia, Studentska 13, 370 05 Ceske Budejovice, Czech Republic)

  • Zubriková Dana

    (Institute of Comparative Tropical Medicine and Parasitology, Ludwig-Maximilians-Universität München, Leopoldstr. 5, 80802 Munich, Germany
    Institute of Parasitology, Slovak Academy of Sciences, Hlinkova 3, 040 01 Kosice, Slovakia)

  • Maria (Vögerl) Wittmann

    (Institute of Comparative Tropical Medicine and Parasitology, Ludwig-Maximilians-Universität München, Leopoldstr. 5, 80802 Munich, Germany)

  • Ondřej Masař

    (Department of Geoinformatics, VSB—Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic)

  • Daniela Szturcová

    (Department of Geoinformatics, VSB—Technical University of Ostrava, 17. listopadu 15, 708 00 Ostrava, Czech Republic)

  • Daniel Růžek

    (Institute of Parasitology, Biology Centre, Academy of Sciences of Czech Republic, Branisovska 31, 370 05 Ceske Budejovice, Czech Republic
    Faculty of Science, University of South Bohemia, Branisovska 31, 370 05 Ceske Budejovice, Czech Republic
    Veterinary Research Institute, Hudcova 296, 621 00 Brno, Czech Republic)

  • Kurt Pfister

    (Institute of Comparative Tropical Medicine and Parasitology, Ludwig-Maximilians-Universität München, Leopoldstr. 5, 80802 Munich, Germany)

  • Libor Grubhoffer

    (Institute of Parasitology, Biology Centre, Academy of Sciences of Czech Republic, Branisovska 31, 370 05 Ceske Budejovice, Czech Republic
    Faculty of Science, University of South Bohemia, Branisovska 31, 370 05 Ceske Budejovice, Czech Republic)

Abstract

In Europe, Lyme borreliosis (LB) and tick-borne encephalitis (TBE) are the two vector-borne diseases with the largest impact on human health. Based on data on the density of host-seeking Ixodes ricinus ticks and pathogen prevalence and using a variety of environmental data, we have created an acarological risk model for a region where both diseases are endemic (Czech Republic—South Bohemia and Germany—Lower Bavaria, Upper Palatinate). The data on tick density were acquired by flagging 50 sampling sites three times in a single season. Prevalence of the causative agents of LB and TBE was determined. Data on environmental variables (e.g., altitude, vegetation cover, NDVI, land surface temperature) were obtained from various sources and processed using geographical information systems. Generalized linear models were used to estimate tick density, probability of tick infection, and density of infected ticks for the whole area. A significantly higher incidence of human TBE cases was recorded in South Bohemia compared to Bavarian regions, which correlated with a lower tick density in Bavaria. However, the differences in pathogen prevalence rates were not significant. The model outputs were made available to the public in the form of risk maps, indicating the distribution of tick-borne disease risk in space.

Suggested Citation

  • Václav Hönig & Pavel Švec & Lukáš Marek & Tomáš Mrkvička & Zubriková Dana & Maria (Vögerl) Wittmann & Ondřej Masař & Daniela Szturcová & Daniel Růžek & Kurt Pfister & Libor Grubhoffer, 2019. "Model of Risk of Exposure to Lyme Borreliosis and Tick-Borne Encephalitis Virus-Infected Ticks in the Border Area of the Czech Republic (South Bohemia) and Germany (Lower Bavaria and Upper Palatinate)," IJERPH, MDPI, vol. 16(7), pages 1-17, April.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:7:p:1173-:d:219115
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/7/1173/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/7/1173/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marion Ripoche & Leslie Robbin Lindsay & Antoinette Ludwig & Nicholas H. Ogden & Karine Thivierge & Patrick A. Leighton, 2018. "Multi-Scale Clustering of Lyme Disease Risk at the Expanding Leading Edge of the Range of Ixodes scapularis in Canada," IJERPH, MDPI, vol. 15(4), pages 1-19, March.
    2. Roberto Rosà & Veronica Andreo & Valentina Tagliapietra & Ivana Baráková & Daniele Arnoldi & Heidi Christine Hauffe & Mattia Manica & Fausta Rosso & Lucia Blaňarová & Martin Bona & Marketa Derdáková &, 2018. "Effect of Climate and Land Use on the Spatio-Temporal Variability of Tick-Borne Bacteria in Europe," IJERPH, MDPI, vol. 15(4), pages 1-15, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Massimiliano Colucci & Marco Fonzo & Liana Miccolis & Irene Amoruso & Sara Mondino & Andrea Trevisan & Romina Cazzaro & Tatjana Baldovin & Chiara Bertoncello, 2023. "Emergency Department Syndromic Surveillance to Monitor Tick-Borne Diseases: A 6-Year Small-Area Analysis in Northeastern Italy," IJERPH, MDPI, vol. 20(19), pages 1-12, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chongshi Gu & Xiao Fu & Chenfei Shao & Zhongwen Shi & Huaizhi Su, 2020. "Application of Spatiotemporal Hybrid Model of Deformation in Safety Monitoring of High Arch Dams: A Case Study," IJERPH, MDPI, vol. 17(1), pages 1-25, January.
    2. Bob E. H. van Oort & Grete K. Hovelsrud & Camilla Risvoll & Christian W. Mohr & Solveig Jore, 2020. "A Mini-Review of Ixodes Ticks Climate Sensitive Infection Dispersion Risk in the Nordic Region," IJERPH, MDPI, vol. 17(15), pages 1-15, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:7:p:1173-:d:219115. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.