Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women

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.

Bivariate spatio-temporal shared component modeling: Mapping of relative death risk due to colorectal and stomach cancers in Iran provinces

“…We found that two South-Eastern and Southern provinces, Sistan and Baluchistan and Hormozgan have lowest RR for both cancers. Northe and North-West part of country including Mazandaran, East-Azerbaijan, and Kurdistan are the highest risk areas regarding the two stomach and colorectal cancers and these obtained results are consistent with those of Mahaki et al ,[ 17 ] Kavousi et al ,[ 33 ] Rastaghi et al [ 34 ] and Nasrazadani et al [ 35 ]…”

Joint disease mapping of breast, uterine, and ovarian cancers in cities of Isfahan Province from 2005 to 2010 using spatial shared component model

“…ε i 1 , ε i 92 , ε i 3 represent surrogate of specific components as surrogates of specific risk factors for these studied cancers. [ 13 14 15 ] To put it more simply, this model tries to estimate the relative risk of disease to recognize high risky regions, and decompose the risk of diseases to shared and specific effects. According to spatial distribution of shared and specific effects, we emphasize about possible risk factors.…”

Mapping Spatial Variation of The Stomach, Esophageal and Lung Cancers and Their Shared Risk Factors in Iran at a County Level

“…In addition, shared components (SC) model (4) was used for highlighting the similarity and non-similarity of spatial patterns of stomach, esophageal, and lung cancers mortality in the counties of Iran due to shared and specific risk factors. Such a model has been used in several studies for determining the spatial changes of risk factors in some diseases (7,14,15). In this case, counts of stomach, esophageal, and lung cancers mortality refer to the variables of the model response with a shared risk factor (smoking (16)(17)(18)) and the other risk factor, i.e.…”