Osong Public Health and Research Perspectives

Original Article

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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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

Pertussis seasonal variation in Northern Vietnam: the evidence from a tertiary hospital
Nhung TH Pham, Quyen TT Bui, Dien M Tran, Mattias Larsson, Mai P Pham, Linus Olson
BMC Public Health.2024;[Epub] CrossRef
Population-Based Study of Pertussis Incidence and Risk Factors among Persons >50 Years of Age, Australia
Rodney Pearce, Jing Chen, Ken L. Chin, Adrienne Guignard, Leah-Anne Latorre, C. Raina MacIntyre, Brittany Schoeninger, Sumitra Shantakumar
Emerging Infectious Diseases.2024;[Epub] CrossRef
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
Infectious Diseases and Therapy.2021; 10(2): 719. CrossRef
Pertussis epidemiology and effect of vaccination among diagnosed children at Vietnam, 2015‐2018
Nhung T. H. Pham, Nhan D. T. Le, Ngai K. Le, Khoa D. Nguyen, Mattias Larsson, Linus Olson, Dien M. Tran
Acta Paediatrica.2020; 109(12): 2685. CrossRef
Spatial distribution of vaccine-preventable diseases in central Iran in 2015–2018: A GIS-based study
Abolfazl Mohammadbeigi, Abedin Saghafipour, Nahid Jesri, Fatemeh Zahra Tarkhan, Moharram Karami Jooshin
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
Rudzani Muloiwa, Benjamin M. Kagina, Mark E. Engel, Gregory D. Hussey
BMC Medicine.2020;[Epub] CrossRef
Sommergrippe: Mehr als ein Mythos!
Johannes Bogner
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
R. N. F. Leong, J. G. Wood, R. M. Turner, A. T. Newall
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
Yongbin Wang, Chunjie Xu, Zhende Wang, Shengkui Zhang, Ying Zhu, Juxiang Yuan, Lei Lin
PLOS ONE.2018; 13(12): e0208404. CrossRef
Identification of Etiologic Agents of the Pertussis-like Syndrome in Children by Real-time PCR Method
Shima Mahmoudi, Maryam Banar, Babak Pourakbari, Hediyeh Sadat Alavi, Hamid Eshaghi, Alireza Aziz Ahari, Setareh Mamishi
Prague Medical Report.2018; 119(1): 61. CrossRef

Article

The Emergence of Oseltamivir-Resistant Seasonal Influenza A (H1N1) Virus in Korea During the 2008-2009 Season: Woo-Young Choi, Inseok Yang, Sujin Kim, Namjoo Lee, Meehwa Kwon, Joo-Yeon Lee, Chun Kang; Osong Public Health Res Perspect. 2011;2(3):178-185. Published online December 31, 2011; DOI: https://doi.org/10.1016/j.phrp.2011.11.042

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Abstract PDF

Objectives
To monitor antiviral drug resistance among seasonal influenza viruses isolated in Korea during the 2008-2009 influenza season, we examined influenza isolates collected through Korea Influenza Surveillance Scheme for antiviral drug susceptibility.
Methods
For genetic analysis of antiviral drug resistance, the matrix (M2) and neuraminidase (NA) genes of each isolate were amplified by reverse transcription-polymerase chain reaction and followed by nucleotide sequencing. For phylogenetic analyses, the sequences of hemagglutinin (HA) and NA genes of each isolate were aligned using multiple alignment program. For phenotypic analysis of antiviral drug resistance, drug susceptibilities against M2 inhibitor (amantadine) and NA inhibitors (oseltavimir and zanamivir) were determined by virus yield reduction assay and fluorometric NA inhibition assay, respectively.
Results
In Korea, the resistant influenza viruses against oseltamivir were first detected in sealsonal influenza A(H1N1) viruses on Week 48 of 2008. Since then, the number of oseltamivir-resistant A(H1N1) viruses was continuously increased and had reached the highest peak on Week 52 of 2008. 533 (99.8%) of 534 A(H1N1) viruses were resistant to oseltamivir and all of them harbored the H275Y mutation in the NA gene during the 2008-2009 season. The oseltamivir resistance identified by sequencing was confirmed by NA inhibition assay. Genetic analysis based on HA gene of the resistant A(H1N1) viruses revealed that the viruses were identified as A/Brisbane/10/2007-like strain which was vaccine strain for the 2008-2009 season.
Conclusions
The oseltamivir-resistant A(H1N1) viruses were first emerged in Europe in November 2007 and then circulated globally. One year later, the oseltamivir-resistant A(H1N1) viruses were first detected in Korea in November 2008 and continued circulating until the Week 7 of 2009 during the 2008-2009 season. Considering the pandemic preparedness, it should be continued to monitor the emergence and the characterization of antiviral drug resistant influenza viruses.

Citations

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WooYoung Choi, Jin-Young Shin, Hwan-Eui Jeong, Mi-Jin Jeong, Su-Jin Kim, Joo-Yeon Lee, Chun Kang
Osong Public Health and Research Perspectives.2013; 4(6): 323. CrossRef
Occurrence and characterization of oseltamivir-resistant influenza virus in children between 2007-2008 and 2008-2009 seasons
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