Literature DB >> 25240900

The influence of changing host immunity on 1918-19 pandemic dynamics.

K J Bolton1, J M McCaw2, J McVernon3, J D Mathews4.   

Abstract

The sociological and biological factors which gave rise to the three pandemic waves of Spanish influenza in England during 1918-19 are still poorly understood. Symptom reporting data available for a limited set of locations in England indicates that reinfection in multiple waves occurred, suggesting a role for loss of infection-acquired immunity. Here we explore the role that changes in host immunity, driven by a combination of within-host factors and viral evolution, may play in explaining weekly mortality data and wave-by-wave symptomatic attack-rates available for a subset of English cities. Our results indicate that changes in the phenotype of the pandemic virus are likely required to explain the closely spaced waves of infection, but distinguishing between the detailed contributions of viral evolution and changing adaptive immune responses to transmission rates is difficult given the dearth of sero-epidemiological and virological data available even for more contemporary pandemics. We find that a dynamical model in which pre-pandemic protection in older "influenza-experienced" cohorts is lost rapidly prior to the second wave provides the best fit to the mortality and symptom reporting data. Best fitting parameter estimates for such a model indicate that post-infection protection lasted of order months, while other statistical analyses indicate that population-age was inversely correlated with overall mortality during the herald wave. Our results suggest that severe secondary waves of pandemic influenza may be triggered by viral escape from pre-pandemic immunity, and thus that understanding the role of heterosubtypic or cross-protective immune responses to pandemic influenza may be key to controlling the severity of future influenza pandemics.
Copyright © 2014. Published by Elsevier B.V.

Keywords:  Immunology; Influenza; Public health; Transmission models; Viral evolution

Mesh:

Year:  2014        PMID: 25240900     DOI: 10.1016/j.epidem.2014.07.004

Source DB:  PubMed          Journal:  Epidemics        ISSN: 1878-0067            Impact factor:   4.396


  5 in total

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Authors:  Robert Moss; James M McCaw; Allen C Cheng; Aeron C Hurt; Jodie McVernon
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3.  Differential Immune Profiles in Two Pandemic Influenza A(H1N1)pdm09 Virus Waves at Pandemic Epicenter.

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5.  Dynamical crises, multistability and the influence of the duration of immunity in a seasonally-forced model of disease transmission.

Authors:  Mathew P Dafilis; Federico Frascoli; Jodie McVernon; Jane M Heffernan; James M McCaw
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  5 in total

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