Assessment of population susceptibility to upcoming seasonal influenza epidemic strain using interepidemic emerging influenza virus strains

Author:

Chen Lin-Lei,Wu Wai-Lan,Chan Wan-Mui,Fong Carol H. Y.,Ng Anthony C. K.,Ip Jonathan D.,Lu Lu,Dissanayake Thrimendra K.,Ding Xixia,Cai Jian-Piao,Zhang Anna J. X.,Tam Sidney,Hung Ivan F. N.,Chan Kwok-Hung,Yuen Kwok-Yung,To Kelvin K. W.ORCID

Abstract

Abstract Seasonal influenza virus epidemics have a major impact on healthcare systems. Data on population susceptibility to emerging influenza virus strains during the interepidemic period can guide planning for resource allocation of an upcoming influenza season. This study sought to assess the population susceptibility to representative emerging influenza virus strains collected during the interepidemic period. The microneutralisation antibody titers (MN titers) of a human serum panel against representative emerging influenza strains collected during the interepidemic period before the 2018/2019 winter influenza season (H1N1-inter and H3N2-inter) were compared with those against influenza strains representative of previous epidemics (H1N1-pre and H3N2-pre). A multifaceted approach, incorporating both genetic and antigenic data, was used in selecting these representative influenza virus strains for the MN assay. A significantly higher proportion of individuals had a ⩾four-fold reduction in MN titers between H1N1-inter and H1N1-pre than that between H3N2-inter and H3N2-pre (28.5% (127/445) vs. 4.9% (22/445), P < 0.001). The geometric mean titer (GMT) of H1N1-inter was significantly lower than that of H1N1-pre (381 (95% CI 339–428) vs. 713 (95% CI 641–792), P < 0.001), while there was no significant difference in the GMT between H3N2-inter and H3N2-pre. Since A(H1N1) predominated the 2018–2019 winter influenza epidemic, our results corroborated the epidemic subtype.

Publisher

Cambridge University Press (CUP)

Subject

Infectious Diseases,Epidemiology

Reference38 articles.

1. Prediction, dynamics, and visualization of antigenic phenotypes of seasonal influenza viruses

2. World Health Organization (2019) Recommended composition of influenza virus vaccines for use in the 2019–2020 northern hemisphere influenza season. Available at https://www.who.int/influenza/vaccines/virus/recommendations/2019_20_north/en/ (Accessed 20 May 2019).

3. A Perfect Storm: Impact of Genomic Variation and Serial Vaccination on Low Influenza Vaccine Effectiveness During the 2014–2015 Season

4. Erratum: The evolution of seasonal influenza viruses

5. European Centre for Disease Prevention and Control (2018) Influenza virus characterisation, Summary Europe, July 2018. Available at https://ecdc.europa.eu/en/publications-data/influenza-virus-characterisation-summary-europe-july-2018 (Accessed 27 January 2019).

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