Estimation of Fixed and Dynamic Alarm Threshold Levels of Meningitis and Its Outbreak in Iran

Background and Objectives: Given the importance of the early detection of any outbreak or change in the trend of meningitis, this study was conducted to estimate the fixed and dynamic alarm threshold levels of meningitis and its outbreak in Iran. Materials and Methods: In this study, the data of a...

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Bibliographic Details
Published in:	Iranian journal of epidemiology Vol. 17; no. 3; pp. 264 - 271
Main Authors:	S Heidari, M Karami, SM Zahraei, I Sedighi, F Azimian Zavareh
Format:	Journal Article
Language:	Persian
Published:	Tehran University of Medical Sciences 01-12-2021
Subjects:	epidemic epidemiology iran meningitis outbreak
Online Access:	Get full text
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Summary:	Background and Objectives: Given the importance of the early detection of any outbreak or change in the trend of meningitis, this study was conducted to estimate the fixed and dynamic alarm threshold levels of meningitis and its outbreak in Iran. Materials and Methods: In this study, the data of all patients from 20¬ March 2016 to 20 March 2019 were extracted from the National Meningitis Disease Surveillance System. Alarm threshold levels were calculated separately for different seasons and provinces. To determine the alarm threshold levels, four methods of Upper Control Limit (UCL), relative increase, statistical cut off points, and recommendations provided by the World Health Organization were used. Results: The alarm threshold levels for confirmed cases were determined for Iran according to the upper limits of cumulative sum (CUSUM) algorithm and the statistical cut off points based on the 90th percentile, 2 cases per day for Iran. The fixed amount was 3 to 5 cases per week in populations under 30,000 and 5 to 7 per week in populations between 30,000 and 100,000. According to the relative increase method, a 30% increase in one week compared to previous weeks was considered as the threshold level. Conclusion: The use of alarm threshold levels reported in this study can be a basis for detecting meningitis outbreaks.
ISSN:	1735-7489 1735-7489