AU - Alimohamadi, Yousef AU - Zahraei, Seyed Mohsen AU - Karami, Manoochehr AU - Yaseri, Mehdi AU - Lotfizad, Mojtaba AU - Holakouie-Naieni, Kourosh TI - Spatio-temporal analysis of Pertussis using geographic information system among Iranian population during 2012-2018 PT - JOURNAL ARTICLE TA - MJIRI JN - MJIRI VO - 34 VI - 1 IP - 1 4099 - http://mjiri.iums.ac.ir/article-1-6074-en.html 4100 - http://mjiri.iums.ac.ir/article-1-6074-en.pdf SO - MJIRI 1 ABĀ  - Background: In spite of existing vaccination programs in many countries, outbreaks of pertussis are still reported. In Iran, the suspected and confirmed cases of pertussis are reported annually. Due to the lack of similar studies, the purpose of the current study was to determine the Spatio-temporal distribution of Pertussis using Geographic Information System (GIS) to identify high-risk areas in Iran during 2012-2018. Methods: In the current cross-sectional study, registered data in the department of vaccine-preventable diseases in the Iranian ministry of health were used. To assess the temporal trend, the Cochran–Armitage test was used. To show the spatial distribution and to identify hotspot areas, Choropleth map and Getis-Ord Gi statistics were used. All analyses performed by Arc.map10.5, Stata 15 and Excel 2010. Results: The incidence of suspect pertussis cases had an increasing trend but did not have a linear trend (p=0.06). Most of the cases happened in under 1 year infants (62.66%). The incidence of reported cases in northern areas was higher than in the Southern areas. The Zanjan had the most reported cases during the understudied period with a median of 7.63 reported cases per 100,000. The clustering of infection and hotspots were identified in northern areas of Iran including Qazvin, Qom, Markazi, and Hamadan. Conclusion: Our results showed that the cumulative incidence of reported cases is increasing. The northern ‎ provinces had the highest incidence of Pertussis. Therefore, the causes of this spatio-temporal pattern of pertussis should be determined. Also, supervision on vaccination programs in high-risk areas is recommended. CP - IRAN IN - Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran LG - eng PB - MJIRI PG - 150 PT - Original Research YR - 2020