- Comparing Seasonal Pattern of Laboratory Confirmed Cases of Pertussis with Clinically Suspected Cases
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Golam Reza Ghorbani, Seyed Mohsen Zahraei, Mahmood Moosazadeh, Mahdi Afshari, Fahimeh Doosti
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Osong Public Health Res Perspect. 2016;7(2):131-137. Published online April 30, 2016
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DOI: https://doi.org/10.1016/j.phrp.2016.02.004
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- 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 (p = 0.04), but the maximum incidence of clinical suspected pertussis was 115.7 in May (p = 0.6). The maximum seasonal incidences of confirmed and clinical pertussis cases were reported in summer (average: 12, p = 0.004), and winter (average: 108.1; p = 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.
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Citations
Citations to this article as recorded by  - Bordetella pertussis in School-Age Children, Adolescents, and Adults: A Systematic Review of Epidemiology, Burden, and Mortality in the Middle East
Denis Macina, Keith E. Evans
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MMW - Fortschritte der Medizin.2019; 161(12): 39. CrossRef - Estimating seasonal variation in Australian pertussis notifications from 1991 to 2016: evidence of spring to summer peaks
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Epidemiology and Infection.2019;[Epub] CrossRef - Time series modeling of pertussis incidence in China from 2004 to 2018 with a novel wavelet based SARIMA-NAR hybrid model
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PLOS ONE.2018; 13(12): e0208404. CrossRef - Identification of Etiologic Agents of the Pertussis-like Syndrome in Children by Real-time PCR Method
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