2017
DOI: 10.1111/jam.13628
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A modified dose-response model that describes the relationship between haemagglutination inhibition titre and protection against influenza infection

Abstract: Aims: Develop a model for quantifying the risk of an adverse human response to influenza virus infection as a function of exposure dose and pre-exposure antibody titre level. Methods and Results: We evaluated the relationship between haemagglutination inhibition (HI) titre (as a measure of specific antibody response) and protection against influenza infection and modelled this relationship by incorporating HI titre as a variable into dose-response models. Using a maximum likelihood estimation approach, the res… Show more

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Cited by 7 publications
(4 citation statements)
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“…Among them Hemagglutination Inhibition (HI) assay is the most frequently applied to detect antibodies that inhibit the interaction of influenza HA with receptors on red blood cells or cultured cells. It is an indirect assay in which the highest dilution of serum that prevents hemagglutination is called the HI titer of the serum [ 19 , 20 , 22 ]. Another common serological assay to measure the total serum antibodies against specific influenza antigen is ELISA test [ 23 , 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…Among them Hemagglutination Inhibition (HI) assay is the most frequently applied to detect antibodies that inhibit the interaction of influenza HA with receptors on red blood cells or cultured cells. It is an indirect assay in which the highest dilution of serum that prevents hemagglutination is called the HI titer of the serum [ 19 , 20 , 22 ]. Another common serological assay to measure the total serum antibodies against specific influenza antigen is ELISA test [ 23 , 24 ].…”
Section: Introductionmentioning
confidence: 99%
“…The inconsistency of HI titre on predicting infection rate was also noted in the prior study (Huang et al . 2018).…”
Section: Resultsmentioning
confidence: 99%
“…Huang et al . (2018) presented a risk assessment of an adverse human response (infection/illness) when exposed to influenza virus as a function of pre‐exposure HI titre level by a modelling approach. A beta‐Poisson dose–response model (Equation ) was used in that study.Pfalse(dfalse)=1][1+dN50(21/α1)α,where P ( d ) is the probability of positive response (infection, illness, or death) and d is the dose; N 50 represents the dose needed to cause a 50% chance of the response; α is the slope parameter.…”
Section: Methodsmentioning
confidence: 99%
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