Literature DB >> 19703472

Qualitative analysis of the level of cross-protection between epidemic waves of the 1918-1919 influenza pandemic.

D Rios-Doria1, G Chowell.   

Abstract

The 1918-1919 influenza pandemic was composed of multiple waves within a period of nine months in several regions of the world. Increasing our understanding of the mechanisms responsible for this multi-wave profile has important public health implications. We model the transmission dynamics of two strains of influenza interacting via cross-immunity to simulate two temporal waves of influenza and explore the impact of the basic reproduction number, as a measure of transmissibility associated to each influenza strain, cross-immunity and the timing of the onset of the second influenza epidemic on the pandemic profile. We use time series of case notifications during the 1918 influenza pandemic in Geneva, Switzerland, for illustration. We calibrate our mathematical model to the initial wave of infection to estimate the basic reproduction number of the first wave and the corresponding timing of onset of the second influenza variant. We use this information to explore the impact of cross-immunity levels on the dynamics of the second wave of influenza. Our results for the 1918 pandemic in Geneva, Switzerland, indicate that a second wave can occur whenever R 01 < 1.5 or when cross-immunity levels are less than 0.58 for our estimated R 02 of 2.4. We also explore qualitatively profiles of two-wave pandemics and compare them with real temporal profiles of the 1918 influenza pandemic in other regions of the world including several Scandinavian cities, New York City, England and Wales, and Sydney, Australia. Pandemic profiles are classified into three broad categories namely "right-handed", "left-handed", and "M-shape". Our results indicate that avoiding a second influenza epidemic is plausible given sufficient levels of cross-protection are attained via natural infection during an early (herald) wave of infection or vaccination campaigns prior to a second wave. Furthermore, interventions aimed at mitigating the first pandemic wave may be counterproductive by increasing the chances of a second wave of infection that could potentially be more virulent than the first.

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Year:  2009        PMID: 19703472     DOI: 10.1016/j.jtbi.2009.08.020

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  17 in total

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2.  The evolution of pandemic influenza: evidence from India, 1918-19.

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3.  Vaccination deep into a pandemic wave potential mechanisms for a "third wave" and the impact of vaccination.

Authors:  Bruce Y Lee; Shawn T Brown; Philip Cooley; John J Grefenstette; Richard K Zimmerman; Shanta M Zimmer; Margaret A Potter; Roni Rosenfeld; William D Wheaton; Ann E Wiringa; Kristina M Bacon; Donald S Burke
Journal:  Am J Prev Med       Date:  2010-11       Impact factor: 5.043

4.  Can interactions between timing of vaccine-altered influenza pandemic waves and seasonality in influenza complications lead to more severe outcomes?

Authors:  Utkarsh J Dang; Chris T Bauch
Journal:  PLoS One       Date:  2011-08-23       Impact factor: 3.240

5.  Explaining rapid reinfections in multiple-wave influenza outbreaks: Tristan da Cunha 1971 epidemic as a case study.

Authors:  Anton Camacho; Sébastien Ballesteros; Andrea L Graham; Fabrice Carrat; Oliver Ratmann; Bernard Cazelles
Journal:  Proc Biol Sci       Date:  2011-04-27       Impact factor: 5.349

6.  Influenza activity in Saint Joseph, Missouri 1910-1923: Evidence for an early wave of the 1918 pandemic.

Authors:  Brian L Hoffman
Journal:  PLoS Curr       Date:  2011-11-17

7.  Public health interventions for epidemics: implications for multiple infection waves.

Authors:  Lindsay Wessel; Yi Hua; Jianhong Wu; Seyed M Moghadas
Journal:  BMC Public Health       Date:  2011-02-25       Impact factor: 3.295

8.  Epidemic Wave Dynamics Attributable to Urban Community Structure: A Theoretical Characterization of Disease Transmission in a Large Network.

Authors:  Anne G Hoen; Thomas J Hladish; Rosalind M Eggo; Michael Lenczner; John S Brownstein; Lauren Ancel Meyers
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9.  The impact of coinfections and their simultaneous transmission on antigenic diversity and epidemic cycling of infectious diseases.

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Journal:  Biomed Res Int       Date:  2014-06-22       Impact factor: 3.411

Review 10.  Host Immunological Factors Enhancing Mortality of Young Adults during the 1918 Influenza Pandemic.

Authors:  Julie L McAuley; Katherine Kedzierska; Lorena E Brown; G Dennis Shanks
Journal:  Front Immunol       Date:  2015-08-19       Impact factor: 7.561

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