BACKGROUND: Pleural cancer is a recognised indicator of exposure to asbestos and mesothelioma mortality. AIMS: To investigate the distribution of municipal mortality due to this tumour, using the autoregressive spatial model proposed by Besag, York, and Mollie. METHODS: It was possible to compile and ascertain the posterior distribution of relative risk on the basis of a single Bayesian spatial model covering all of Spain's 8077 municipal areas. Maps were plotted depicting standardised mortality ratios, smoothed relative risk (RR) estimates, and the distribution of the posterior probability that RR >1. RESULTS: There was a higher risk of death due to pleural cancer in well defined towns and areas, many of which correspond to municipalities where asbestos using industries once existed for many years, the prime example being the municipal pattern registered for Barcelona Province. The quality of mortality data, the suitability of the model used, and the usefulness of municipal atlases for environmental surveillance are discussed.
BACKGROUND:Pleural cancer is a recognised indicator of exposure to asbestos and mesothelioma mortality. AIMS: To investigate the distribution of municipal mortality due to this tumour, using the autoregressive spatial model proposed by Besag, York, and Mollie. METHODS: It was possible to compile and ascertain the posterior distribution of relative risk on the basis of a single Bayesian spatial model covering all of Spain's 8077 municipal areas. Maps were plotted depicting standardised mortality ratios, smoothed relative risk (RR) estimates, and the distribution of the posterior probability that RR >1. RESULTS: There was a higher risk of death due to pleural cancer in well defined towns and areas, many of which correspond to municipalities where asbestos using industries once existed for many years, the prime example being the municipal pattern registered for Barcelona Province. The quality of mortality data, the suitability of the model used, and the usefulness of municipal atlases for environmental surveillance are discussed.
Authors: A Agudo; C A González; M J Bleda; J Ramírez; S Hernández; F López; A Calleja; R Panadès; D Turuguet; A Escolar; M Beltrán; J E González-Moya Journal: Am J Ind Med Date: 2000-02 Impact factor: 2.214
Authors: Andrea Micheli; Riccardo Capocaccia; Carmen Martinez; Eugenio Mugno; Jan Willem Coebergh; Paolo Baili; Arduino Verdecchia; Franco Berrino; Michel Coleman Journal: Eur J Public Health Date: 2003-09 Impact factor: 3.367
Authors: C Magnani; A Agudo; C A González; A Andrion; A Calleja; E Chellini; P Dalmasso; A Escolar; S Hernandez; C Ivaldi; D Mirabelli; J Ramirez; D Turuguet; M Usel; B Terracini Journal: Br J Cancer Date: 2000-07 Impact factor: 7.640
Authors: Thomas Neyens; Andrew B Lawson; Russell S Kirby; Valerie Nuyts; Kevin Watjou; Mehreteab Aregay; Rachel Carroll; Tim S Nawrot; Christel Faes Journal: Ann Epidemiol Date: 2016-11-01 Impact factor: 3.797
Authors: Pablo Conesa-Zamora; Javier Ruiz-Cosano; Daniel Torres-Moreno; Ignacio Español; María D Gutiérrez-Meca; Javier Trujillo-Santos; Elena Pérez-Ceballos; Rocío González-Conejero; Javier Corral; Vicente Vicente; Miguel Pérez-Guillermo Journal: BMC Cancer Date: 2013-05-07 Impact factor: 4.430