Literature DB >> 19527549

Geographical variation of sporadic Legionnaires' disease analysed in a grid model.

M Rudbeck1, M R Jepsen, I B Sonne, S A Uldum, S Viskum, K Mølbak.   

Abstract

The aim was to analyse variation in incidence of sporadic Legionnaires' disease in a geographical information system in three time periods (1990-2005) by the application of a grid model and to assess the model's validity by analysing variation according to grid position. Coordinates of the addresses at time of disease of 606 confirmed cases with Legionnaires' disease were obtained. The incidence was calculated in cells of 10 x 10 km in 25 different grids superimposed on a map of Denmark. A 95% and 99% threshold was applied to identify cells with excess incidence representing potential clusters. Four cells had excess incidence in all three time periods. The analysis in 25 different grid positions indicated a low risk of overlooking cells with excess incidence in a random grid. The coefficient of variation ranged from 0.08 to 0.11 independent of the threshold. By application of a random grid model we demonstrated that it was possible to detect small areas with excess incidence that were not detected in the present surveillance system.

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Year:  2009        PMID: 19527549     DOI: 10.1017/S0950268809990185

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  5 in total

1.  Association Between Sporadic Legionellosis and River Systems in Connecticut.

Authors:  Kelsie Cassell; Paul Gacek; Joshua L Warren; Peter A Raymond; Matthew Cartter; Daniel M Weinberger
Journal:  J Infect Dis       Date:  2018-01-04       Impact factor: 5.226

2.  Review Global seroprevalence of legionellosis - a systematic review and meta-analysis.

Authors:  Frances F Graham; Simon Hales; Paul S White; Michael G Baker
Journal:  Sci Rep       Date:  2020-04-30       Impact factor: 4.379

3.  A case-association cluster detection and visualisation tool with an application to Legionnaires' disease.

Authors:  P Sansom; V R Copley; F C Naik; S Leach; I M Hall
Journal:  Stat Med       Date:  2013-03-11       Impact factor: 2.373

4.  Analysis of population-level determinants of legionellosis: spatial and geovisual methods for enhancing classification of high-risk areas.

Authors:  Jessie A Gleason; Kathleen M Ross; Rebecca D Greeley
Journal:  Int J Health Geogr       Date:  2017-12-02       Impact factor: 3.918

5.  Simulation of Legionnaires' disease prospective spatiotemporal cluster detection, Allegheny County, Pennsylvania, USA.

Authors:  L T Orkis; E R Peterson; M M Brooks; K J Mertz; L H Harrison; J E Stout; S K Greene
Journal:  Epidemiol Infect       Date:  2018-10-18       Impact factor: 2.451

  5 in total

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