Julian Schmidberger1, Wolfgang Kratzer2, Klaus Stark3, Beate Grüner4. 1. Central Ultrasound, Department of General Internal Medicine I, Medical Centre, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany. julian.schmidberger@uniklinik-ulm.de. 2. Central Ultrasound, Department of General Internal Medicine I, Medical Centre, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany. 3. Department of Infectious Disease Epidemiology, Robert Koch Institute, Seestraße 10, 13353, Berlin, Germany. 4. Comprehensive Infectious Diseases Centre, Department of General Internal Medicine III, Medical Centre, University Hospital Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany.
Abstract
PURPOSE: Alveolar echinococcosis is a rare disease caused by the parasite Echinococcus multilocularis. The newly established national database should enable us to determine high-risk areas and evaluate the endemic levels. METHODS: The national database was implemented using SQL Workbench. We used EpiInfo™ software to display the prevalence of disease. Moran's I geodata analysis according to cluster and high risk areas was performed with GeoDa™. SAS Version 9.2 was used for the statistical analysis of the cases (n = 523). RESULTS: The analysis showed a concentration of cases in Baden-Württemberg and Bavaria. Moran's I showed a heterogeneous case distribution throughout Germany (I = 0.208815, Z = 32.6175, p < 0.001). In the period from 1992 to 2016, the prevalence was 0.64/100,000 inhabitants in the whole of Germany, 2.18/100,000 inhabitants in Baden-Württemberg and 1.48/100,000 inhabitants in Bavaria. The analysis also revealed a difference between men and women, with a prevalence of 0.58/100,000 and 0.69/100,000, respectively. The analysis of spatial autocorrelation and possible risk areas showed that the southeast regions of Baden-Württemberg (I = 0.188514, Z = 11.3197, p < 0.001) and the southwest part of Bavaria (I = 0.176953, Z = 13.5144, p < 0.001) constitute the high risk areas. CONCLUSIONS: The prevalence of disease is noticeably high in the Swabian Jura, the Bavarian Alps and the Alpine foothills. Raising awareness and educating doctors in high risk areas may prevent new cases and assist in earlier diagnosis.
PURPOSE:Alveolar echinococcosis is a rare disease caused by the parasite Echinococcus multilocularis. The newly established national database should enable us to determine high-risk areas and evaluate the endemic levels. METHODS: The national database was implemented using SQL Workbench. We used EpiInfo™ software to display the prevalence of disease. Moran's I geodata analysis according to cluster and high risk areas was performed with GeoDa™. SAS Version 9.2 was used for the statistical analysis of the cases (n = 523). RESULTS: The analysis showed a concentration of cases in Baden-Württemberg and Bavaria. Moran's I showed a heterogeneous case distribution throughout Germany (I = 0.208815, Z = 32.6175, p < 0.001). In the period from 1992 to 2016, the prevalence was 0.64/100,000 inhabitants in the whole of Germany, 2.18/100,000 inhabitants in Baden-Württemberg and 1.48/100,000 inhabitants in Bavaria. The analysis also revealed a difference between men and women, with a prevalence of 0.58/100,000 and 0.69/100,000, respectively. The analysis of spatial autocorrelation and possible risk areas showed that the southeast regions of Baden-Württemberg (I = 0.188514, Z = 11.3197, p < 0.001) and the southwest part of Bavaria (I = 0.176953, Z = 13.5144, p < 0.001) constitute the high risk areas. CONCLUSIONS: The prevalence of disease is noticeably high in the Swabian Jura, the Bavarian Alps and the Alpine foothills. Raising awareness and educating doctors in high risk areas may prevent new cases and assist in earlier diagnosis.
Entities:
Keywords:
Alveolar echinococcosis; Distribution; Echinococcus multilocularis; National database; Prevalence
Authors: Qian Wang; Jiamin Qiu; Wen Yang; Peter M Schantz; Francis Raoul; Philip S Craig; Patrick Giraudoux; Dominique A Vuitton Journal: Am J Trop Med Hyg Date: 2006-05 Impact factor: 2.345
Authors: S Bresson-Hadni; J J Laplante; D Lenys; P Rohmer; B Gottstein; P Jacquier; P Mercet; J P Meyer; J P Miguet; D A Vuitton Journal: Am J Trop Med Hyg Date: 1994-12 Impact factor: 2.345
Authors: D A Vuitton; F Demonmerot; J Knapp; C Richou; F Grenouillet; A Chauchet; L Vuitton; S Bresson-Hadni; L Millon Journal: Vet Parasitol Date: 2015-08-20 Impact factor: 2.738
Authors: Alexander Schweiger; Rudolf W Ammann; Daniel Candinas; Pierre-Alain Clavien; Johannes Eckert; Bruno Gottstein; Nerman Halkic; Beat Muellhaupt; Bettina Mareike Prinz; Juerg Reichen; Philip E Tarr; Paul R Torgerson; Peter Deplazes Journal: Emerg Infect Dis Date: 2007-06 Impact factor: 6.883
Authors: Patrick Waindok; Katharina Raue; Miguel L Grilo; Ursula Siebert; Christina Strube Journal: Parasitol Res Date: 2021-02-06 Impact factor: 2.289
Authors: Beate Grüner; Lynn Peters; Andreas Hillenbrand; Patrick Voßberg; Jonas Schweiker; Elisabeth G Rollmann; Laura H Rodriguez; Jasmin Blumhardt; Sanne Burkert; Peter Kern; Carsten Köhler; Peter T Soboslay Journal: PLoS Negl Trop Dis Date: 2022-02-02