2017
DOI: 10.1016/j.vaccine.2017.09.036
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Association between Haemagglutination inhibiting antibodies and protection against clade 6B viruses in 2013 and 2015

Abstract: Background The epidemiology of the pandemic A(H1N1) virus has been changing as population immunity continues to co-evolve with the virus. The impact of genetic changes in the virus on human’s susceptibility is an outstanding important question in vaccine design. In a community-based study, we aim to 1) determine the genetic characteristics of 2009–2015 pandemic H1N1 viruses, 2) assess antibody response following natural infections and 3) assess the correlation of A/California/07/09 antibody titers to protectio… Show more

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Cited by 8 publications
(3 citation statements)
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“…Details of the study design are published. 35,36 Participants were excluded from this analysis if sufficient blood samples were not available. The principles of the Declaration of Helsinki were strictly followed.…”
Section: Methodsmentioning
confidence: 99%
“…Details of the study design are published. 35,36 Participants were excluded from this analysis if sufficient blood samples were not available. The principles of the Declaration of Helsinki were strictly followed.…”
Section: Methodsmentioning
confidence: 99%
“…Antibody titers are closely correlated with vaccine effectiveness. Nanovaccines have been shown to induce high antibody titers [ [102] , [103] , [104] , [105] ], probably due to their superiority in target delivery and DC activation as well as the capacity to carry large amounts of antigens [ 106 ]. Nanovaccines can be constructed to carry large quantities of peptides or protein antigens; this provides a high concentration of antigens for efficient B cell receptor (BCR) signaling, consequently improving the B cell response and antibody production ( Fig.…”
Section: Nano-based Vaccinesmentioning
confidence: 99%
“…The idea was originally developed by Charles V. Chapin in 1903 to study the transmission of diphtheria and scarlet fever, and it was extended to influenza, tuberculosis, and other infectious diseases by Wade Hampton Frost [8][9][10]. Household surveillance data from emerging infections is often used to estimate the SAR, including 1957 and 1968 pandemic influenza [11][12][13], meningococcal disease [2], pertussis [6], SARS coronavirus [14], seasonal influenza [15][16][17][18], rotavirus [19], 2009 pandemic influenza A (H1N1) [20][21][22][23][24][25][26], MERS coronavirus [27,28], Ebola virus disease [29][30][31], norovirus [32,33], hand-foot-and-mouth disease [34], cryptosporidium [35], measles [36], and COVID-19 [37,38].…”
Section: Introductionmentioning
confidence: 99%