| Seyed Mohsen Zahraei | 2 Articles |
<sec>
<title>Objectives</title>
<p>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.</p></sec>
<sec>
<title>Methods</title>
<p>Data on suspected cases of pertussis from the 25<sup>th</sup> February 2012 to the 23<sup>rd</sup> 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.</p></sec>
<sec>
<title>Results</title>
<p>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.</p></sec>
<sec>
<title>Conclusion</title>
<p>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.</p></sec>
Citations
Citations to this article as recorded by
Objectives
During recent decades, there has been limited attention on the seasonal pattern of pertussis within a high vaccine coverage population. This study aimed to compare the seasonal patterns of clinical suspected pertussis cases with those of laboratory confirmed cases in Iran. Methods The current study was conducted using time series methods. Time variables included months and seasons during 2011–2013. The effects of seasons and months on the incidence of pertussis were estimated using analysis of variance or Kruskal–Wallis. Results The maximum average incidence of clinically confirmed pertussis was 23.3 in July (<i>p</i> = 0.04), but the maximum incidence of clinical suspected pertussis was 115.7 in May (<i>p</i> = 0.6). The maximum seasonal incidences of confirmed and clinical pertussis cases were reported in summer (average: 12, <i>p</i> = 0.004), and winter (average: 108.1; <i>p</i> = 0.4), respectively. Conclusion The present study showed that the seasonal pattern of laboratory confirmed pertussis cases is highly definite and different from the pattern of clinical suspected cases. Citations
Citations to this article as recorded by
|
|