Lung Cancer Mortality in Tuscany from 1971 to 2010 and Its Connections with Silicosis: A Space-Cohort Analysis Based on Shared Models

Author

Dreassi, Emanuela

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-01-28

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine

Abstract EN

Lung cancer mortality in Tuscany (Italy) for males, from 1971 and 2010, is investigated.

A hierarchical Bayesian model for space-time disease mapping is introduced.

Such a model belongs to the class of shared random effect models and exploits the birth-cohort as the relevant time dimension.

It allows for highlighting common and specific patterns of risk for each birth-cohort.

The results show that different birth-cohorts exhibit quite different spatial patterns, even if the socioeconomic status is taken into account.

In fact, there were different occupational exposures before and after the Second World War.

The birth-cohort 1930–35 exhibits high relative risks related to particular areas.

This fact could be connected with occupational exposure to risk factors for silicosis, perhaps a prognostic status for lung cancer.

American Psychological Association (APA)

Dreassi, Emanuela. 2018. Lung Cancer Mortality in Tuscany from 1971 to 2010 and Its Connections with Silicosis: A Space-Cohort Analysis Based on Shared Models. Computational and Mathematical Methods in Medicine،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1132048

Modern Language Association (MLA)

Dreassi, Emanuela. Lung Cancer Mortality in Tuscany from 1971 to 2010 and Its Connections with Silicosis: A Space-Cohort Analysis Based on Shared Models. Computational and Mathematical Methods in Medicine No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1132048

American Medical Association (AMA)

Dreassi, Emanuela. Lung Cancer Mortality in Tuscany from 1971 to 2010 and Its Connections with Silicosis: A Space-Cohort Analysis Based on Shared Models. Computational and Mathematical Methods in Medicine. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1132048

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1132048