Area-to-Area Poisson Kriging and Spatial Bayesian Analysis in Mapping of Gastric Cancer Incidence in Iran

  • Asmarian, Naeimehossadat (Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences) ;
  • Jafari-Koshki, Tohid (Department of Statistics and Epidemiology, Faculty of Health, Tabriz University of Medical Sciences) ;
  • Soleimani, Ali (Department of Public Health Maragheh University of Medical Science) ;
  • Ayatollahi, Seyyed Mohammad Taghi (Department of Biostatistics, School of Medicine, Shiraz University of Medical Sciences)
  • Published : 2016.10.01


Background: In many countries gastric cancer has the highest incidence among the gastrointestinal cancers and is the second most common cancer in Iran. The aim of this study was to identify and map high risk gastric cancer regions at the county-level in Iran. Methods: In this study we analyzed gastric cancer data for Iran in the years 2003-2010. Area-to-area Poisson kriging and Besag, York and Mollie (BYM) spatial models were applied to smoothing the standardized incidence ratios of gastric cancer for the 373 counties surveyed in this study. The two methods were compared in term of accuracy and precision in identifying high risk regions. Result: The highest smoothed standardized incidence rate (SIR) according to area-to-area Poisson kriging was in Meshkinshahr county in Ardabil province in north-western Iran (2.4,SD=0.05), while the highest smoothed standardized incidence rate (SIR) according to the BYM model was in Ardabil, the capital of that province (2.9,SD=0.09). Conclusion: Both methods of mapping, ATA Poisson kriging and BYM, showed the gastric cancer incidence rate to be highest in north and north-west Iran. However, area-to-area Poisson kriging was more precise than the BYM model and required less smoothing. According to the results obtained, preventive measures and treatment programs should be focused on particular counties of Iran.


Gastric cancer;ATA poisson kriging;spatial bayesian analysis;Iran


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