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Alarm Thresholds for Pertussis Outbreaks in Iran: National Data Analysis

Authors :
Yousef Alimohamadi
Seyed Mohsen Zahraei
Manoochehr Karami
Mehdi Yaseri
Mojtaba Lotfizad
Kourosh Holakouie-Naieni
Source :
Osong Public Health and Research Perspectives, Vol 11, Iss 5, Pp 309-318 (2020)
Publication Year :
2020
Publisher :
Korea Disease Control and Prevention Agency, 2020.

Abstract

Objectives The purpose of the current study was to determine the upper threshold number of cases for which pertussis infection would reach an outbreak level nationally in Iran. Methods Data on suspected cases of pertussis from the 25th February 2012 to the 23rd March 2018 from the Center for Disease Control and Prevention in Iran was used. The national upper threshold level was estimated using the exponentially weighted moving average (EWMA) method and the Poisson regression method. Results In total, 2,577 (33.6%) and 1,714 (22.3%) cases were reported in the Spring and Summer respectively. There were 1,417 (18.5%) and 1,971 (25.6%) cases reported in the Autumn and Winter, respectively. The overall upper threshold using the EWMA and the Poisson regression methods, was estimated as a daily occurrence of 8 (7.55) and 7.50 (4.48–11.06) suspected cases per 10,000,000 people, respectively. The daily seasonal thresholds estimated by the EWMA and the Poisson regression methods were 10, 7, 6, 8 cases and 10, 7, 7, 9 cases for the Spring, Summer, Autumn, and Winter, respectively. Conclusion The overall and seasonal estimated thresholds by the 2 methods were similar. Therefore, the estimated thresholds of 6–10 cases in a day, per 10,000,000 people could be used to detect pertussis outbreaks and epidemics by health policymakers.

Details

Language :
English
ISSN :
22109099 and 22109110
Volume :
11
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Osong Public Health and Research Perspectives
Publication Type :
Academic Journal
Accession number :
edsdoj.2e07b57cac134c6f8bf433380400d1ef
Document Type :
article
Full Text :
https://doi.org/10.24171/j.phrp.2020.11.5.07