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Assessment of population susceptibility to upcoming seasonal influenza epidemic strain using interepidemic emerging influenza virus strains.
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.
Afiliação
  • Chen LL; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Wu WL; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Chan WM; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Fong CHY; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Ng ACK; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Ip JD; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Lu L; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Dissanayake TK; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Ding X; Laboratory of Emerging Infectious Diseases and Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
  • Cai JP; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Zhang AJX; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Tam S; Division of Clinical Biochemistry, Department of Pathology, Queen Mary Hospital, Hong Kong Special Administrative Region, China.
  • Hung IFN; Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • Chan KH; State Key Laboratory for Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Yuen KY; Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.
  • To KKW; State Key Laboratory for Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Epidemiol Infect ; 147: e279, 2019 09 26.
Article em En | MEDLINE | ID: mdl-31556360
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Suscetibilidade a Doenças / Influenza Humana / Vírus da Influenza A Subtipo H1N1 / Vírus da Influenza A Subtipo H3N2 / Anticorpos Antivirais Limite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Humans / Infant / Middle aged / Newborn País/Região como assunto: Asia Idioma: En Revista: Epidemiol Infect Assunto da revista: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Suscetibilidade a Doenças / Influenza Humana / Vírus da Influenza A Subtipo H1N1 / Vírus da Influenza A Subtipo H3N2 / Anticorpos Antivirais Limite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Humans / Infant / Middle aged / Newborn País/Região como assunto: Asia Idioma: En Revista: Epidemiol Infect Assunto da revista: DOENCAS TRANSMISSIVEIS / EPIDEMIOLOGIA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: China