CMStatistics 2021: Start Registration
View Submission - CMStatistics
B0752
Title: Spatial co-occurrence of malignant mesothelioma and ovarian cancer in Lombardy (Italy) Authors:  Dolores Catelan - University of Padua (Italy) [presenting]
Abstract: Multivariate disease mapping is used heuristically to summarize evidence of shared risk factors. The role of environmental asbestos in the etiology of Ovarian Cancer is widely debated. The aim is to study the spatial co-occurrence of mortality risk for Malignant Mesothelioma and Ovarian Cancer in the Lombardy region (IT) using shared Bayesian models. Malignant Mesothelioma (MM) is considered a marker of environmental asbestos exposure. Mortality data for Ovarian Cancer and MM in the Lombardy region were provided by the Italian National Health Institute for the period 2000-2018 at the municipality level. Bayesian spatial shared models were specified. Model comparison was based on Kullback-Leibler discrepancy measures and Watanabe Information criteria (WAIC). We found evidence of shared risk factors in some areas of the Lombardy region, while in others the results are dependent on the prior model specifications.