Early Detection of Dysentery Outbreaks by Cumulative Sum Method Based on National Surveillance System Data in 1393-1396

Background and Objectives: Correct and timely detection of the outbreaks of diseases with a short incubation period is of great importance in the health system. The aim of this study was to determine the detection of dysentery outbreaks using the cumulative sum method.   Methods: This time series st...

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Main Authors: K Sharifolkashani, P Yavari, R Shekarriz, F Tajdini, N Aghili
Format: Article
Language:fas
Published: Tehran University of Medical Sciences 2021-03-01
Series:مجله اپیدمیولوژی ایران
Subjects:
Online Access:http://irje.tums.ac.ir/article-1-6863-en.html
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author K Sharifolkashani
P Yavari
R Shekarriz
F Tajdini
N Aghili
author_facet K Sharifolkashani
P Yavari
R Shekarriz
F Tajdini
N Aghili
author_sort K Sharifolkashani
collection DOAJ
description Background and Objectives: Correct and timely detection of the outbreaks of diseases with a short incubation period is of great importance in the health system. The aim of this study was to determine the detection of dysentery outbreaks using the cumulative sum method.   Methods: This time series study was conducted using the data of the National Surveillance System between 2014 and 2017. The outbreak alert threshold of each season and province was determined separately using the average of three years (1393 to 1395) in the same season and province. The dysentery outbreak in each season was exclusively predicted for Isfahan, Khuzestan, and Hamadan provinces in 2017 using the CUSUM method.   Results: In Isfahan Province, the outbreak alert was higher in the spring and summer and lower in the autumn and winter using the current method compared to the CUSUM method. For Khuzestan Province, the current outbreak alert was significantly higher in all seasons compared to the CUSUM method, while the current outbreak alert was lower than the alert predicted by the CUSUM method in Hamadan Province in all the seasons.   Conclusion: Compared to constant threshold-based methods, using the CUSUM method seems to be a better way for reporting outbreaks, especially in areas with a high incidence.
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spelling doaj.art-b819ac75dc334c0caad95a396f888f632022-12-21T18:33:51ZfasTehran University of Medical Sciencesمجله اپیدمیولوژی ایران1735-74892228-75072021-03-01164276284Early Detection of Dysentery Outbreaks by Cumulative Sum Method Based on National Surveillance System Data in 1393-1396K Sharifolkashani0P Yavari12R Shekarriz3F Tajdini4N Aghili5 Community Medicine Specialist, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran Professor ,Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran ; Professor, Department of Health & Community Medicine, Faculty of Medicine, Shahid Beheshti university of Medical Sciences, Tehran, Iran Associate Professor, Preventive Medicine and Public Health Research Center, Social Injury Prevention Research Institute; school of Medicine, Iran University of Medical Sciences, Tehran, Iran Assistant Professor, Department of Health & Community Medicine, Faculty of Medicine, Shahid Beheshti university of Medical Sciences, Tehran, Iran Community Medicine Specialist, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran Disease Control Expert, Ministry of Health's Center for Infectious Diseases Management, Tehran, Iran Background and Objectives: Correct and timely detection of the outbreaks of diseases with a short incubation period is of great importance in the health system. The aim of this study was to determine the detection of dysentery outbreaks using the cumulative sum method.   Methods: This time series study was conducted using the data of the National Surveillance System between 2014 and 2017. The outbreak alert threshold of each season and province was determined separately using the average of three years (1393 to 1395) in the same season and province. The dysentery outbreak in each season was exclusively predicted for Isfahan, Khuzestan, and Hamadan provinces in 2017 using the CUSUM method.   Results: In Isfahan Province, the outbreak alert was higher in the spring and summer and lower in the autumn and winter using the current method compared to the CUSUM method. For Khuzestan Province, the current outbreak alert was significantly higher in all seasons compared to the CUSUM method, while the current outbreak alert was lower than the alert predicted by the CUSUM method in Hamadan Province in all the seasons.   Conclusion: Compared to constant threshold-based methods, using the CUSUM method seems to be a better way for reporting outbreaks, especially in areas with a high incidence.http://irje.tums.ac.ir/article-1-6863-en.htmloutbreakdysenterysurveillance systemcumulative sum methodearly detection
spellingShingle K Sharifolkashani
P Yavari
R Shekarriz
F Tajdini
N Aghili
Early Detection of Dysentery Outbreaks by Cumulative Sum Method Based on National Surveillance System Data in 1393-1396
مجله اپیدمیولوژی ایران
outbreak
dysentery
surveillance system
cumulative sum method
early detection
title Early Detection of Dysentery Outbreaks by Cumulative Sum Method Based on National Surveillance System Data in 1393-1396
title_full Early Detection of Dysentery Outbreaks by Cumulative Sum Method Based on National Surveillance System Data in 1393-1396
title_fullStr Early Detection of Dysentery Outbreaks by Cumulative Sum Method Based on National Surveillance System Data in 1393-1396
title_full_unstemmed Early Detection of Dysentery Outbreaks by Cumulative Sum Method Based on National Surveillance System Data in 1393-1396
title_short Early Detection of Dysentery Outbreaks by Cumulative Sum Method Based on National Surveillance System Data in 1393-1396
title_sort early detection of dysentery outbreaks by cumulative sum method based on national surveillance system data in 1393 1396
topic outbreak
dysentery
surveillance system
cumulative sum method
early detection
url http://irje.tums.ac.ir/article-1-6863-en.html
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