اپیدمیولوژی فضایی

اپیدمیولوژی فضایی

آمار فضایی و اپیدمیولوژی
اپیدمیولوژی فضایی

اپیدمیولوژی فضایی

آمار فضایی و اپیدمیولوژی

Identifying High-Risk Clusters of Gastric Cancer Incidence in Iran, 2004 - 2009

تعداد ارجاعات مقالات انگلیسی چاپ شده به این مقاله از 6 ژانویه 2015( زمان انتشار) تا می سال 2018 به 20 مقاله رسید.

 

این مقاله، اولین مقاله برگرفته از پایان نامه کارشناسی ارشد  اینجانب بود که در مجله Asian Pacific Journal of Cancer Prevention   چاپ شد.

هم اکنون داور بین المللی مجله فوق نیز می باشم.

 

Martin Kulldorff که مبدع روش Spatial Scan Statistics می باشد نیز  در سال 2018 به این مقاله ارجاع داده است.

 


Identifying High-Risk Clusters of Gastric Cancer Incidence in Iran, 2004 - 2009

Amir Kavousi, Yousef Bashiri*, Yadollah Mehrabi, Korosh Etemad, Amir Teymourpour

Abstract

Background: Gastric cancer is considered as the second most prevalent cancer in Iran. The present research sought to identify high risk clusters of gastric cancer with mapping using space-time scan statistics.

 Materials and Methods: The present research is of descriptive type. The required data were gathered from the registered cancer reports of Cancer Control Office in the Center for Non Communicable Disease of the Ministry of Health (MOH). The data were extracted at province level in the time span of 2004-9. Sat-Scan software was used to analyse the data and to identify high risk clusters. ArcGIS10 was utilized to map the distribution of gastric cancer and to demonstrate high risk clusters.

Results: The most likely clusters were found in Ardabil, Gilan, Zanjan, East-Azerbaijan, Qazvin, West-Azerbaijan, Kurdistan, Hamadan, Tehran and Mazandaran between 2007 and 2009. It was statistically significant at the p-value below 0.05.

Conclusions: High risk regions included Northern, West-North and central provinces, particularly Ardabil, Kurdistan, Mazandaran and Gilan. More screening tests are suggested to be conducted in high risk regions along with more frequent epidemiological studies to enact gastric cancer prevention programs.

Key Words: Gastric cancer - space-time scan statistics - cluster identification - mapping

 

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