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Bivariate Spatiotemporal Disease Mapping of Cancer of the Breast and Cervix Uteri Among Iranian Women Publisher Pubmed



Raei M1 ; Schmid VJ2 ; Mahaki B3, 4
Authors
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Authors Affiliations
  1. 1. School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
  2. 2. Bioimaging Group, Department of Statistics, Institue of Statistics, Ludwig Maximilans University, Munich, Germany
  3. 3. Department of Epidemiology and Biostatistics, School of Health, Isfahan University of Medical Sciences, Hezar-Jerib Ave, Isfahan, Iran
  4. 4. Research Center for Environmental Determinants of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran

Source: Geospatial Health Published:2018


Abstract

Cervical cancer in women is one of the most common cancers and breast cancer has grown dramatically in recent years. The purpose of this study was to map the incidence of breast and cervix uteri cancer among Iranian women over a 6-year period (2004-2009) searching for trend changes and risk factors. Cancer incidence data were extracted from the annual reports of the National Cancer Registry in Iran. Hierarchical Bayesian models, including random spatial and temporal effects was utilized together with bivariate, spatio-temporal shared component modelling. The provinces Tehran, Isfahan, Mazandaran and Gilan were found to have the highest relative risk (RR) of breast cancer, while the highest RR of cervix uteri cancer was observed in Tehran, Golestan, Khuzestan and Khorasan Razavi. Shared risk factors (smoking component) between the two cancers were seen to have the highest influence in Tehran, Khorasan Razavi, Yazd, Isfahan, Golestan, Khuzestan, Fars and Mazandaran, while the least were observed in Kohgiluyeh Boyerahmad. Apparent differences and distinctions between high-risk and low-risk provinces reveal a pattern of obvious dispersion for these cancers in Iran that should be considered when allocating healthcare resources and services in different areas. © M. Raei et al.
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