Skip to main navigation Skip to search Skip to main content

The spatial distribution of cancer incidence in fars province: A GIS-based analysis of cancer registry data

  • Ali Goli
  • , Mahbobeh Oroei
  • , Mehdi Jalalpour
  • , Hossein Faramarzi
  • , Mehrdad Askarian
  • Shiraz University
  • Shiraz University of Medical Sciences
  • Whiting School of Engineering
  • Nephro Urology Research Center SUMS

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Background: Cancer is a major health problem in the developing countries. Variations of its incidence rate among geographical areas are due to various contributing factors. This study was performed to assess the spatial patterns of cancer incidence in the Fars Province, based on cancer registry data and to determine geographical clusters. Methods: In this cross sectional study, the new cases of cancer were recorded from 2001 to 2009. Crude incidence rate was estimated based on age groups and sex in the counties of the Fars Province. Age-standardized incidence rates (ASR) per 100, 000 was calculated in each year. Spatial autocorrelation analysis was performed in measuring the geographic patterns and clusters using geographic information system (GIS). Also, comparisons were made between ASRs in each county. Results: A total of 28, 411 new cases were diagnosed with cancer during 2001-2009 in the Fars Province, 55.5% of which were men. The average age was 61.6 ± 0.5 years. The highest ASR was observed in Shiraz, which is the largest county in Fars. The Moran's Index of cancer was significantly clustered in 2004, 2005, and 2006 in total, men, and women. The type of spatial clustering was high-high cluster, that to indicate from north-west to south-east of Fars Province. Conclusions: Analysis of the spatial distribution of cancer shows significant differences from year to year and between different areas. However, a clear spatial autocorrelation is observed, which can be of great interest and importance to researchers for future epidemiological studies, and to policymakers for applying preventive measures.
Original languageEnglish
Pages (from-to)1122-1130
Number of pages9
JournalInternational Journal of Preventive Medicine
Volume4
Issue number10
StatePublished - Oct 18 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cancer
  • Iran
  • Spatial analysis

Cite this