Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2015 Apr 30;10(4):e0125447.
doi: 10.1371/journal.pone.0125447. eCollection 2015.

Impact of the 2009 H1N1 Pandemic on Age-Specific Epidemic Curves of Other Respiratory Viruses: A Comparison of Pre-Pandemic, Pandemic and Post-Pandemic Periods in a Subtropical City

Affiliations

Impact of the 2009 H1N1 Pandemic on Age-Specific Epidemic Curves of Other Respiratory Viruses: A Comparison of Pre-Pandemic, Pandemic and Post-Pandemic Periods in a Subtropical City

Lin Yang et al. PLoS One. .

Erratum in

Abstract

Background: The 2009 H1N1 influenza pandemic caused offseason peaks in temperate regions but coincided with the summer epidemic of seasonal influenza and other common respiratory viruses in subtropical Hong Kong. This study was aimed to investigate the impact of the pandemic on age-specific epidemic curves of other respiratory viruses.

Methods: Weekly laboratory-confirmed cases of influenza A (subtypes seasonal A(H1N1), A(H3N2), pandemic virus A(H1N1)pdm09), influenza B, respiratory syncytial virus (RSV), adenovirus and parainfluenza were obtained from 2004 to 2013. Age-specific epidemic curves of viruses other than A(H1N1)pdm09 were compared between the pre-pandemic (May 2004-April 2009), pandemic (May 2009-April 2010) and post-pandemic periods (May 2010-April 2013).

Results: There were two peaks of A(H1N1)pdm09 in Hong Kong, the first in September 2009 and the second in February 2011. The infection rate was found highest in young children in both waves, but markedly fewer cases in school children were recorded in the second wave than in the first wave. Positive proportions of viruses other than A(H1N1)pdm09 markedly decreased in all age groups during the first pandemic wave. After the first wave of the pandemic, the positive proportion of A(H3N2) increased, but those of B and RSV remained slightly lower than their pre-pandemic proportions. Changes in seasonal pattern and epidemic peak time were also observed, but inconsistent across virus-age groups.

Conclusion: Our findings provide some evidence that age distribution, seasonal pattern and peak time of other respiratory viruses have changed since the pandemic. These changes could be the result of immune interference and changing health seeking behavior, but the mechanism behind still needs further investigations.

PubMed Disclaimer

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Weekly numbers of laboratory confirmed cases with influenza A (subtypes A(H1N1), A(H3N2) and A(H1N1)pdm09), influenza B, respiratory syncytial virus (RSV), adenovirus or parainfluenza by age group, Hong Kong, 2004–2010.
The pandemic period of 26 April 2009–24 April 2010 is highlighted in gray band.
Fig 2
Fig 2. Wavelet spectrum of age- and virus-specific positive numbers.
The black contour lines show the regions of power significant at the 5% level computed based on 1,000 Monte Carlo simulations. The cone of influence (black curve) indicated the region without edge effects. The power values were coded from dark blue for low power to dark red for high power, as shown in the right panel.
Fig 3
Fig 3. Comparison of the mean week of the epidemics (MWE) during the pre- and post-pandemic periods, for influenza A(H3N2), B, respiratory syncytial virus (RSV), adenovirus and parainfluenza.
Red and blue dots represent MWE in warm season (week 19 to week 50) and cool season (week 51 to week 18 of next year) of the pre-pandemic period. Pink and light blue dots represent MWE in warm and cool season of the post-pandemic period. The vertical bars indicate ± one standard error.

References

    1. Cowling BJ, Nishiura H. Virus interference and estimates of influenza vaccine effectiveness from test-negative studies. Epidemiology. 2012;23:930–1. 10.1097/EDE.0b013e31826b300e - DOI - PubMed
    1. McGill J, Heusel JW, Legge KL. Innate immune control and regulation of influenza virus infections. J Leukoc Biol. 2009;86:803–12. 10.1189/jlb.0509368 - DOI - PMC - PubMed
    1. Cowling BJ, Fang VJ, Nishiura H, Chan KH, Ng S, Ip DKM, et al. Increased risk of noninfluenza respiratory virus infections ssociated with receipt of inactivated influenza vaccine. Clin Infect Dis. 2012;54:1778–83. 10.1093/cid/cis307 - DOI - PMC - PubMed
    1. Sundaram ME, McClure DL, VanWormer JJ, Friedrich TC, Meece JK, Belongia EA. Influenza Vaccination is Not Associated with Detection of Non-Influenza Respiratory Viruses in Seasonal Studies of Influenza Vaccine Effectiveness. Clin Infect Dis. 2013;57:789–93. - PMC - PubMed
    1. Wu JT, Ma ES, Lee CK, Chu DK, Ho PL, Shen AL, et al. The Infection Attack Rate and Severity of 2009 Pandemic H1N1 Influenza in Hong Kong. Clin Infect Dis. 2010;51:1184–91. 10.1086/656740 - DOI - PMC - PubMed

Publication types