tetano
Editor, Senior Moderator
Epidemiol Infect. 2019 Sep 26;147:e279. doi: 10.1017/S0950268819001717.
[h=1]Assessment of population susceptibility to upcoming seasonal influenza epidemic strain using interepidemic emerging influenza virus strains.[/h] Chen LL[SUP]1[/SUP], Wu WL[SUP]1[/SUP], Chan WM[SUP]1[/SUP], Fong CHY[SUP]1[/SUP], Ng ACK[SUP]1[/SUP], Ip JD[SUP]1[/SUP], Lu L[SUP]1[/SUP], Dissanayake TK[SUP]1[/SUP], Ding X[SUP]2[/SUP], Cai JP[SUP]1[/SUP], Zhang AJX[SUP]1[/SUP], Tam S[SUP]3[/SUP], Hung IFN[SUP]4,[/SUP][SUP]5[/SUP], Chan KH[SUP]1,[/SUP][SUP]5,[/SUP][SUP]6[/SUP], Yuen KY[SUP]1,[/SUP][SUP]5,[/SUP][SUP]6,[/SUP][SUP]7[/SUP], To KKW[SUP]1,[/SUP][SUP]5,[/SUP][SUP]6,[/SUP][SUP]7[/SUP].
[h=3]Author information[/h] 1 Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China. 2 Laboratory of Emerging Infectious Diseases and Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China. 3 Division of Clinical Biochemistry, Department of Pathology, Queen Mary Hospital, Hong Kong Special Administrative Region, China. 4 Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China. 5 State Key Laboratory for Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China. 6 Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong Special Administrative Region, China. 7 Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
[h=3]Abstract[/h] 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.
[h=4]KEYWORDS:[/h] Influenza; population susceptibility; respiratory tract infections; serology
PMID: 31556360 DOI: 10.1017/S0950268819001717
[h=1]Assessment of population susceptibility to upcoming seasonal influenza epidemic strain using interepidemic emerging influenza virus strains.[/h] Chen LL[SUP]1[/SUP], Wu WL[SUP]1[/SUP], Chan WM[SUP]1[/SUP], Fong CHY[SUP]1[/SUP], Ng ACK[SUP]1[/SUP], Ip JD[SUP]1[/SUP], Lu L[SUP]1[/SUP], Dissanayake TK[SUP]1[/SUP], Ding X[SUP]2[/SUP], Cai JP[SUP]1[/SUP], Zhang AJX[SUP]1[/SUP], Tam S[SUP]3[/SUP], Hung IFN[SUP]4,[/SUP][SUP]5[/SUP], Chan KH[SUP]1,[/SUP][SUP]5,[/SUP][SUP]6[/SUP], Yuen KY[SUP]1,[/SUP][SUP]5,[/SUP][SUP]6,[/SUP][SUP]7[/SUP], To KKW[SUP]1,[/SUP][SUP]5,[/SUP][SUP]6,[/SUP][SUP]7[/SUP].
[h=3]Author information[/h] 1 Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China. 2 Laboratory of Emerging Infectious Diseases and Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China. 3 Division of Clinical Biochemistry, Department of Pathology, Queen Mary Hospital, Hong Kong Special Administrative Region, China. 4 Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China. 5 State Key Laboratory for Emerging Infectious Diseases, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China. 6 Carol Yu Centre for Infection, The University of Hong Kong, Hong Kong Special Administrative Region, China. 7 Department of Clinical Microbiology and Infection Control, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
[h=3]Abstract[/h] 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.
[h=4]KEYWORDS:[/h] Influenza; population susceptibility; respiratory tract infections; serology
PMID: 31556360 DOI: 10.1017/S0950268819001717