Repository of Research and Investigative Information

Repository of Research and Investigative Information

Kurdistan University of Medical Sciences

Epidemiology incidence and geographical distribution of Pertussis using GIS and its incidence prediction in Iran in 2021

(2021) Epidemiology incidence and geographical distribution of Pertussis using GIS and its incidence prediction in Iran in 2021. Medical journal of the Islamic Republic of Iran.

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Official URL: https://www.ncbi.nlm.nih.gov/pubmed/34956954

Abstract

Background: Pertussis is a respiratory tract infection caused by Bordetella pertussis, which causes inflammation of the lungs and respiratory tract. The purpose of this study was to investigate the incidence and geographical distribution of pertussis using the geographic information system (GIS) and to predict its incidence in Iran in 2021. Methods: This was a descriptive analytical study. Information on pertussis was obtained from the Center for Communicable Diseases Control during 2009-2015. In the next step, the ArcGIS 9.3 was used to prepare geographic maps of the disease incidence and frequency. Therefore, the disease prediction map was drawn. using the Raster Calculator tool. Results: The results showed that the highest incidence of pertussis during 2009-2015 was in Zanjan, Qom, Mazandaran, and Qazvin provinces. The incidence of pertussis in Iran increased from 0.74 in 2009 to 1.53 in 2015. Based on the modeling results for Iran, Qom, Mazandaran, Tehran, Qazvin, and Zanjan provinces, with 76.76, 73.69, 66.32, 30.94 and 24.18 of their areas (Km2), are at high risk for pertussis in the coming years, respectively. Conclusion: The incidence of the disease has been increasing in recent years, indicating the emergence of the disease in Iran. The modeling maps show that the Iranian provinces of Qom, Tehran, Zanjan, and Qazvin are at risk of the disease incidence in the coming years, indicating the need for planning, appropriate interventions and more precise implementation of the vaccination program against the disease.

Item Type: Article
Keywords: Gis Incidence Iran Pertussis Prediction
Page Range: p. 108
Journal or Publication Title: Medical journal of the Islamic Republic of Iran
Volume: 35
Depositing User: مهندس مهدی شریفی
URI: http://eprints.muk.ac.ir/id/eprint/5293

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