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Using serological measures to estimate influenza incidence in the presence of secular trends in exposure and immuno-modulation of antibody response

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Using serological measures to estimate influenza incidence in the presence of secular trends in exposure and immuno-modulation of antibody response. / Quandelacy, T.M.; Cummings, D.A.T.; Jiang, C.Q. et al.
In: Influenza and Other Respiratory Viruses, Vol. 15, No. 2, 31.03.2021, p. 235-244.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Quandelacy, TM, Cummings, DAT, Jiang, CQ, Yang, B, Kwok, KO, Dai, B, Shen, R, Read, JM, Zhu, H, Guan, Y, Riley, S & Lessler, J 2021, 'Using serological measures to estimate influenza incidence in the presence of secular trends in exposure and immuno-modulation of antibody response', Influenza and Other Respiratory Viruses, vol. 15, no. 2, pp. 235-244. https://doi.org/10.1111/irv.12807

APA

Quandelacy, T. M., Cummings, D. A. T., Jiang, C. Q., Yang, B., Kwok, K. O., Dai, B., Shen, R., Read, J. M., Zhu, H., Guan, Y., Riley, S., & Lessler, J. (2021). Using serological measures to estimate influenza incidence in the presence of secular trends in exposure and immuno-modulation of antibody response. Influenza and Other Respiratory Viruses, 15(2), 235-244. https://doi.org/10.1111/irv.12807

Vancouver

Quandelacy TM, Cummings DAT, Jiang CQ, Yang B, Kwok KO, Dai B et al. Using serological measures to estimate influenza incidence in the presence of secular trends in exposure and immuno-modulation of antibody response. Influenza and Other Respiratory Viruses. 2021 Mar 31;15(2):235-244. Epub 2020 Oct 27. doi: 10.1111/irv.12807

Author

Quandelacy, T.M. ; Cummings, D.A.T. ; Jiang, C.Q. et al. / Using serological measures to estimate influenza incidence in the presence of secular trends in exposure and immuno-modulation of antibody response. In: Influenza and Other Respiratory Viruses. 2021 ; Vol. 15, No. 2. pp. 235-244.

Bibtex

@article{7486095199c14a569fd93e75164c50c5,
title = "Using serological measures to estimate influenza incidence in the presence of secular trends in exposure and immuno-modulation of antibody response",
abstract = "Background: Influenza infection is often measured by a fourfold antibody titer increase over an influenza season (ie seroconversion). However, this approach may fail when influenza seasons are less distinct as it does not account for transient effects from recent infections. Here, we present a method to determine seroconversion for non-paired sera, adjusting for changes in individuals{\textquoteright} antibody titers to influenza due to the transient impact of recent exposures, varied sampling times, and laboratory processes. Methods: We applied our method using data for five H3N2 strains collected from 942 individuals, aged 2-90 years, during the first two study visits of the Fluscape cohort study (2009-2012) in Guangzhou, China. Results: After adjustment, apparent seroconversion rates for non-circulating strains decreased while we observed a 20% increase in seroconversion rates to recently circulating strains. When examining seroconversion to the most recently circulating strain (A/Brisbane/20/2007) in our study, participants aged under 18, and over 64 had the highest seroconversion rates compared to other age groups. Conclusions: Our results highlight the need for improved methods when using antibody titers as an endpoint in settings where there is no clear influenza “off” season. Methods, like those presented here, that use titers from circulating and non-circulating strains may be key. ",
keywords = "immunodynamics, incidence, influenza, serology, adolescent, adult, aged, antibody response, antibody titer, article, child, China, cohort analysis, controlled study, female, groups by age, human, immunomodulation, Influenza A virus (H3N2), laboratory test, major clinical study, male, nonhuman, preschool child, season, seroconversion",
author = "T.M. Quandelacy and D.A.T. Cummings and C.Q. Jiang and B. Yang and K.O. Kwok and B. Dai and R. Shen and J.M. Read and H. Zhu and Y. Guan and S. Riley and J. Lessler",
year = "2021",
month = mar,
day = "31",
doi = "10.1111/irv.12807",
language = "English",
volume = "15",
pages = "235--244",
journal = "Influenza and Other Respiratory Viruses",
issn = "1750-2640",
publisher = "Wiley-Blackwell",
number = "2",

}

RIS

TY - JOUR

T1 - Using serological measures to estimate influenza incidence in the presence of secular trends in exposure and immuno-modulation of antibody response

AU - Quandelacy, T.M.

AU - Cummings, D.A.T.

AU - Jiang, C.Q.

AU - Yang, B.

AU - Kwok, K.O.

AU - Dai, B.

AU - Shen, R.

AU - Read, J.M.

AU - Zhu, H.

AU - Guan, Y.

AU - Riley, S.

AU - Lessler, J.

PY - 2021/3/31

Y1 - 2021/3/31

N2 - Background: Influenza infection is often measured by a fourfold antibody titer increase over an influenza season (ie seroconversion). However, this approach may fail when influenza seasons are less distinct as it does not account for transient effects from recent infections. Here, we present a method to determine seroconversion for non-paired sera, adjusting for changes in individuals’ antibody titers to influenza due to the transient impact of recent exposures, varied sampling times, and laboratory processes. Methods: We applied our method using data for five H3N2 strains collected from 942 individuals, aged 2-90 years, during the first two study visits of the Fluscape cohort study (2009-2012) in Guangzhou, China. Results: After adjustment, apparent seroconversion rates for non-circulating strains decreased while we observed a 20% increase in seroconversion rates to recently circulating strains. When examining seroconversion to the most recently circulating strain (A/Brisbane/20/2007) in our study, participants aged under 18, and over 64 had the highest seroconversion rates compared to other age groups. Conclusions: Our results highlight the need for improved methods when using antibody titers as an endpoint in settings where there is no clear influenza “off” season. Methods, like those presented here, that use titers from circulating and non-circulating strains may be key. 

AB - Background: Influenza infection is often measured by a fourfold antibody titer increase over an influenza season (ie seroconversion). However, this approach may fail when influenza seasons are less distinct as it does not account for transient effects from recent infections. Here, we present a method to determine seroconversion for non-paired sera, adjusting for changes in individuals’ antibody titers to influenza due to the transient impact of recent exposures, varied sampling times, and laboratory processes. Methods: We applied our method using data for five H3N2 strains collected from 942 individuals, aged 2-90 years, during the first two study visits of the Fluscape cohort study (2009-2012) in Guangzhou, China. Results: After adjustment, apparent seroconversion rates for non-circulating strains decreased while we observed a 20% increase in seroconversion rates to recently circulating strains. When examining seroconversion to the most recently circulating strain (A/Brisbane/20/2007) in our study, participants aged under 18, and over 64 had the highest seroconversion rates compared to other age groups. Conclusions: Our results highlight the need for improved methods when using antibody titers as an endpoint in settings where there is no clear influenza “off” season. Methods, like those presented here, that use titers from circulating and non-circulating strains may be key. 

KW - immunodynamics

KW - incidence

KW - influenza

KW - serology

KW - adolescent

KW - adult

KW - aged

KW - antibody response

KW - antibody titer

KW - article

KW - child

KW - China

KW - cohort analysis

KW - controlled study

KW - female

KW - groups by age

KW - human

KW - immunomodulation

KW - Influenza A virus (H3N2)

KW - laboratory test

KW - major clinical study

KW - male

KW - nonhuman

KW - preschool child

KW - season

KW - seroconversion

U2 - 10.1111/irv.12807

DO - 10.1111/irv.12807

M3 - Journal article

VL - 15

SP - 235

EP - 244

JO - Influenza and Other Respiratory Viruses

JF - Influenza and Other Respiratory Viruses

SN - 1750-2640

IS - 2

ER -