Article Text

Download PDFPDF

Cutting edge methodology
P1-49 Spatial epidemiological mapping for disease prevalence management in an urban community: swine flu prevalence management in South of Tehran, Iran
  1. M M Sepehri,
  2. H Ehrami,
  3. B Teimourpour
  1. Tarbiat Modares University, Tehran, Iran


Epidemiology investigation uses multidisciplinary approaches to help decision makers in healthcare to control and foretell the phenomena of disease prevalence. In this study, we have applied spatiotemporal analysis and mapping to improve swine flu prevalence management in south of Tehran, Iran. We present a new pattern to monitor the swine flu pandemic in Iran in a more effective way. In this research we gathered 900 suspicious records of H1N1 from south of Tehran. We used spatial data mining and spatiotemporal analysis method to create a specific final pattern for a potential swine flu pandemic management and recovery. GIS and data mining tools have been used to calculate and visualise the results. The results of this research can be used by health policy makers and administrators to guide mitigation policies to minimise possible spread of the disease into the general healthcare setting.

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.