Osong Public Health and Research Perspectives

Original Articles

Alarm Thresholds for Pertussis Outbreaks in Iran: National Data Analysis: Yousef Alimohamadi, Seyed Mohsen Zahraei, Manoochehr Karami, Mehdi Yaseri, Mojtaba Lotfizad, Kourosh Holakouie-Naieni; Osong Public Health Res Perspect. 2020;11(5):309-318. Published online October 22, 2020; DOI: https://doi.org/10.24171/j.phrp.2020.11.5.07

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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 25^th February 2012 to the 23^rd 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.

Citations

Citations to this article as recorded by

Immunogenicity and Safety of a Newly Developed Tetanus-Diphtheria Toxoid (Td) in Healthy Korean Adolescents: a Multi-center, Randomized, Double-blind, Active-Controlled Phase 3 Trial
Ui Yoon Choi, Ki Hwan Kim, Jin Lee, Byung Wook Eun, Hwang Min Kim, Kyung-Yil Lee, Dong Ho Kim, Sang Hyuk Ma, Jina Lee, Jong-Hyun Kim
Journal of Korean Medical Science.2021;[Epub] CrossRef

Comparing Seasonal Pattern of Laboratory Confirmed Cases of Pertussis with Clinically Suspected Cases: Golam Reza Ghorbani, Seyed Mohsen Zahraei, Mahmood Moosazadeh, Mahdi Afshari, Fahimeh Doosti; Osong Public Health Res Perspect. 2016;7(2):131-137. Published online April 30, 2016; DOI: https://doi.org/10.1016/j.phrp.2016.02.004

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Abstract PDF

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.

Citations

Citations to this article as recorded by

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Nhung TH Pham, Quyen TT Bui, Dien M Tran, Mattias Larsson, Mai P Pham, Linus Olson
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Heliyon.2020; 6(9): e05102. CrossRef
The comparative performance of wavelet‐based outbreak detector, exponential weighted moving average, and Poisson regression‐based methods in detection of pertussis outbreaks in Iranian infants: A simulation‐based study
Yousef Alimohamadi, Seyed Mohsen Zahraei, Manoochehr Karami, Mehdi Yaseri, Mojtaba Lotfizad, Kourosh Holakouie‐Naieni
Pediatric Pulmonology.2020; 55(12): 3497. CrossRef
Alarm Thresholds for Pertussis Outbreaks in Iran: National Data Analysis
Yousef Alimohamadi, Seyed Mohsen Zahraei, Manoochehr Karami, Mehdi Yaseri, Mojtaba Lotfizad, Kourosh Holakouie-Naieni
Osong Public Health and Research Perspectives.2020; 11(5): 309. CrossRef
The burden of laboratory-confirmed pertussis in low- and middle-income countries since the inception of the Expanded Programme on Immunisation (EPI) in 1974: a systematic review and meta-analysis
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R. N. F. Leong, J. G. Wood, R. M. Turner, A. T. Newall
Epidemiology and Infection.2019;[Epub] CrossRef
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Yongbin Wang, Chunjie Xu, Zhende Wang, Shengkui Zhang, Ying Zhu, Juxiang Yuan, Lei Lin
PLOS ONE.2018; 13(12): e0208404. CrossRef
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Shima Mahmoudi, Maryam Banar, Babak Pourakbari, Hediyeh Sadat Alavi, Hamid Eshaghi, Alireza Aziz Ahari, Setareh Mamishi
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