Exploring neighborhood inequality in female breast cancer incidence in Tehran using Bayesian spatial models and a spatial scan statistic

Autor: Erfan Ayubi, Mohammad Ali Mansournia, Ali Ghanbari Motlagh, Alireza Mosavi-Jarrahi, Ali Hosseini, Kamran Yazdani
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Epidemiology and Health, Vol 39 (2017)
Druh dokumentu: article
ISSN: 2092-7193
DOI: 10.4178/epih.e2017021
Popis: OBJECTIVES The aim of this study was to explore the spatial pattern of female breast cancer (BC) incidence at the neighborhood level in Tehran, Iran. METHODS The present study included all registered incident cases of female BC from March 2008 to March 2011. The raw standardized incidence ratio (SIR) of BC for each neighborhood was estimated by comparing observed cases relative to expected cases. The estimated raw SIRs were smoothed by a Besag, York, and Mollie spatial model and the spatial empirical Bayesian method. The purely spatial scan statistic was used to identify spatial clusters. RESULTS There were 4,175 incident BC cases in the study area from 2008 to 2011, of which 3,080 were successfully geocoded to the neighborhood level. Higher than expected rates of BC were found in neighborhoods located in northern and central Tehran, whereas lower rates appeared in southern areas. The most likely cluster of higher than expected BC incidence involved neighborhoods in districts 3 and 6, with an observed-to-expected ratio of 3.92 (p
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