Literature DB >> 9363536

Objective assessment of risk maps of tick-borne encephalitis and Lyme borreliosis based on spatial patterns of located cases.

P Zeman1.   

Abstract

BACKGROUND: Clusters of infection can indicate the underlying risk pattern of an endemic disease. Retrospective epidemiological data have been used to map the risk of tick-borne encephalitis (TBE) and Lyme borreliosis (LB) in the Central Bohemian region of the Czech Republic.
METHODS: Both reported places of infection and patients' residences were entered in a geographical information system; their distance distribution and census data were used to model density of the population at risk. Point-pattern analysis and non-parametric kernel smoothing of points of infection were applied to compute the risk maps. Tick flagging and direct immunofluorescence assay were used to probe true LB-risk in the field.
RESULTS: Tick-borne encephalitis infections proved to be more clustered than those of LB which was widespread; however, the most prominent clusters of both diseases largely correspond to each other. The estimated LB risk correlated well with tangible disease challenge as assessed from the tick abundance and Borrelia infection rates at 15 selected localities surveyed annually.
CONCLUSION: The risk of LB is widely and smoothly distributed over the area studied, apparently following tick habitats wherever they occur, while TBE is confined to a subset of these locations.

Entities:  

Mesh:

Year:  1997        PMID: 9363536     DOI: 10.1093/ije/26.5.1121

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  21 in total

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

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3.  Modelling the seasonality of Lyme disease risk and the potential impacts of a warming climate within the heterogeneous landscapes of Scotland.

Authors:  Sen Li; Lucy Gilbert; Paula A Harrison; Mark D A Rounsevell
Journal:  J R Soc Interface       Date:  2016-03       Impact factor: 4.118

4.  Rodents as sentinels for the prevalence of tick-borne encephalitis virus.

Authors:  Katharina Achazi; Daniel Růžek; Oliver Donoso-Mantke; Mathias Schlegel; Hanan Sheikh Ali; Mathias Wenk; Jonas Schmidt-Chanasit; Lutz Ohlmeyer; Ferdinand Rühe; Torsten Vor; Christian Kiffner; René Kallies; Rainer G Ulrich; Matthias Niedrig
Journal:  Vector Borne Zoonotic Dis       Date:  2011-05-06       Impact factor: 2.133

5.  Localized spatial clustering of HIV infections in a widely disseminated rural South African epidemic.

Authors:  Frank Tanser; Till Bärnighausen; Graham S Cooke; Marie-Louise Newell
Journal:  Int J Epidemiol       Date:  2009-03-04       Impact factor: 7.196

6.  Tickborne encephalitis virus, northeastern Italy.

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Journal:  Emerg Infect Dis       Date:  2006-10       Impact factor: 6.883

7.  Spatial analysis of hemorrhagic fever with renal syndrome in China.

Authors:  Liqun Fang; Lei Yan; Song Liang; Sake J de Vlas; Dan Feng; Xiaona Han; Wenjuan Zhao; Bing Xu; Ling Bian; Hong Yang; Peng Gong; Jan Hendrik Richardus; Wuchun Cao
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8.  Investigation of geo-spatial hotspots for the occurrence of tuberculosis in Almora district, India, using GIS and spatial scan statistic.

Authors:  Neeraj Tiwari; C M S Adhikari; Ajoy Tewari; Vineeta Kandpal
Journal:  Int J Health Geogr       Date:  2006-08-10       Impact factor: 3.918

9.  Using the gravity model to estimate the spatial spread of vector-borne diseases.

Authors:  José Miguel Barrios; Willem W Verstraeten; Piet Maes; Jean-Marie Aerts; Jamshid Farifteh; Pol Coppin
Journal:  Int J Environ Res Public Health       Date:  2012-11-30       Impact factor: 3.390

10.  Vaccination and tick-borne encephalitis, central Europe.

Authors:  Franz X Heinz; Karin Stiasny; Heidemarie Holzmann; Marta Grgic-Vitek; Bohumir Kriz; Astrid Essl; Michael Kundi
Journal:  Emerg Infect Dis       Date:  2013-01       Impact factor: 6.883

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