Assessment of population susceptibility to upcoming seasonal influenza epidemic strain using interepidemic emerging influenza virus strains
Autor: | Kwok-Yung Yuen, Lin-Lei Chen, Wai-Lan Wu, Carol H. Y. Fong, Jian-Piao Cai, Xixia Ding, Jonathan Daniel Ip, Lu Lu, Wan-Mui Chan, Kelvin K. W. To, Anna J. X. Zhang, Kwok-Hung Chan, Anthony Chin-Ki Ng, Ivan Hung, Sidney Tam, Thrimendra Kaushika Dissanayake |
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Rok vydání: | 2019 |
Předmět: |
0301 basic medicine
Adult Adolescent Epidemiology viruses 030106 microbiology Population serology respiratory tract infections Biology Antibodies Viral Virus Serology Seasonal influenza 03 medical and health sciences Young Adult 0302 clinical medicine Influenza A Virus H1N1 Subtype Influenza Human Humans 030212 general & internal medicine education Child Epidemic strain Aged Aged 80 and over education.field_of_study Original Paper Respiratory tract infections Influenza A Virus H3N2 Subtype Antibody titer Infant Newborn virus diseases Infant Middle Aged Virology Antibodies Neutralizing Influenza respiratory tract diseases Titer Infectious Diseases Child Preschool Hong Kong Disease Susceptibility population susceptibility |
Zdroj: | Epidemiology and Infection |
ISSN: | 1469-4409 |
Popis: | 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. |
Databáze: | OpenAIRE |
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