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Background: Geographic information system is a toolbox that can depict geography of80% of health problems (epidemiology and outcome) and geography of healthcaresystems (screening, prevention, treatment/care services delivery), that can predict futurecases levels and trends and show areas with significant clustering of cases to target withprevention and control. Objective: The objectives of the present study were to portray thegeographical distribution of breast cancer cases in Alexandria, identify the breast cancercluster areas in Alexandria, and to calculate the predicted number of breast cancer casesuntil year 2020. Method: Breast cancer cases clinically and pathologically diagnosed andconfirmed in Alexandria University Hospital, Medical Research Institute and AyadiAlmostakbal in Alexandria, over 10 years, between January 1, 2005 and December 31,2014 and diagnosed and managed in the three enrolled data warehouse were obtained. Adigitalized map of Alexandria was used. The data of breast cancer prevalence was overlaidand spatial analysis of prevalence by district and locality was generated using GISsoftware. Results: Cancer breast cases through 2005-2014 in Alexandria were 6806 casesof which 4534 cases were geocodable. Four Clusters of districts were found, and thecharacteristics of each cluster was portrayed and mapped. Projection and prediction ofcancer breast revealed 704 cases in Alexandria in year 2020 with a consistent increase incases. Conclusion: Montaza district was the most significant cluster area.
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