Implementing a weighted spatial smoothing algorithm to identify a lung cancer belt in the United States.

Abstract:

:Lung cancer is the leading cause of cancer death in the United States, but a large fraction of cases is preventable. We use a spatial smoothing algorithm to identify a geographic pattern of high lung cancer mortality, primarily in the Southeast, which we call a lung cancer belt. Disease belts are an effective mode for conveying patterns of high incidence or mortality; formally defining this lung cancer belt may encourage increased public dialogue and more focused research. Public health officials could complement existing population lung cancer data with this information to help inform resource allocation decisions.

journal_name

Cancer Epidemiol

journal_title

Cancer epidemiology

authors

Blackley D,Zheng S,Ketchum W

doi

10.1016/j.canep.2012.05.015

subject

Has Abstract

pub_date

2012-10-01 00:00:00

pages

436-8

issue

5

eissn

1877-7821

issn

1877-783X

pii

S1877-7821(12)00076-8

journal_volume

36

pub_type

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