Literature DB >> 31056047

Increased frequency of travel in the presence of cross-immunity may act to decrease the chance of a global pandemic.

R N Thompson1,2,3, C P Thompson2, O Pelerman4, S Gupta2, U Obolski2,5,6.   

Abstract

The high frequency of modern travel has led to concerns about a devastating pandemic since a lethal pathogen strain could spread worldwide quickly. Many historical pandemics have arisen following pathogen evolution to a more virulent form. However, some pathogen strains invoke immune responses that provide partial cross-immunity against infection with related strains. Here, we consider a mathematical model of successive outbreaks of two strains-a low virulence (LV) strain outbreak followed by a high virulence (HV) strain outbreak. Under these circumstances, we investigate the impacts of varying travel rates and cross-immunity on the probability that a major epidemic of the HV strain occurs, and the size of that outbreak. Frequent travel between subpopulations can lead to widespread immunity to the HV strain, driven by exposure to the LV strain. As a result, major epidemics of the HV strain are less likely, and can potentially be smaller, with more connected subpopulations. Cross-immunity may be a factor contributing to the absence of a global pandemic as severe as the 1918 influenza pandemic in the century since. This article is part of the theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes'. This issue is linked with the subsequent theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.

Entities:  

Keywords:  antigenic variation; cross-immunity; major epidemic; mathematical modelling; pathogen diversity

Mesh:

Year:  2019        PMID: 31056047      PMCID: PMC6553607          DOI: 10.1098/rstb.2018.0274

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  55 in total

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4.  Networks of sexual contacts: implications for the pattern of spread of HIV.

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5.  High frequency of cross-reacting antibodies against 2009 pandemic influenza A(H1N1) virus among the elderly in Finland.

Authors:  N Ikonen; M Strengell; L Kinnunen; P Osterlund; J Pirhonen; M Broman; I Davidkin; T Ziegler; I Julkunen
Journal:  Euro Surveill       Date:  2010-02-04

6.  Genetic relatedness between the new 1977 epidemic strains (H1N1) of influenza and human influenza strains isolated between 1947 and 1957 (H1N1).

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7.  Delaying the international spread of pandemic influenza.

Authors:  Ben S Cooper; Richard J Pitman; W John Edmunds; Nigel J Gay
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Review 8.  Transmission of infectious diseases during commercial air travel.

Authors:  Alexandra Mangili; Mark A Gendreau
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9.  Mortality burden of the 1918-1919 influenza pandemic in Europe.

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Authors:  Christopher Dye
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  9 in total

1.  Preface to theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.

Authors:  R N Thompson; Ellen Brooks-Pollock
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-07-08       Impact factor: 6.237

2.  Detection, forecasting and control of infectious disease epidemics: modelling outbreaks in humans, animals and plants.

Authors:  Robin N Thompson; Ellen Brooks-Pollock
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-06-24       Impact factor: 6.237

3.  Evaluation of preventive, supportive and awareness building measures among international students in China in response to COVID-19: a structural equation modeling approach.

Authors:  Tanwne Sarker; Apurbo Sarkar; Md Ghulam Rabbany; Milon Barmon; Rana Roy; Md Ashfikur Rahman; Kh Zulfikar Hossain; Fazlul Hoque; Muhammad Asaduzzaman
Journal:  Glob Health Res Policy       Date:  2021-03-13

4.  Economic freedom, pandemics, and robust political economy.

Authors:  Rosolino A Candela; Vincent Geloso
Journal:  South Econ J       Date:  2021-02-19

5.  Interventions targeting non-symptomatic cases can be important to prevent local outbreaks: SARS-CoV-2 as a case study.

Authors:  Francesca A Lovell-Read; Sebastian Funk; Uri Obolski; Christl A Donnelly; Robin N Thompson
Journal:  J R Soc Interface       Date:  2021-05-19       Impact factor: 4.118

6.  Evaluating strategies for spatial allocation of vaccines based on risk and centrality.

Authors:  Benjamin J Singer; Robin N Thompson; Michael B Bonsall
Journal:  J R Soc Interface       Date:  2022-02-16       Impact factor: 4.118

Review 7.  An Antigenic Thrift-Based Approach to Influenza Vaccine Design.

Authors:  Jai S Bolton; Hannah Klim; Judith Wellens; Matthew Edmans; Uri Obolski; Craig P Thompson
Journal:  Vaccines (Basel)       Date:  2021-06-16

8.  Improved inference of time-varying reproduction numbers during infectious disease outbreaks.

Authors:  R N Thompson; J E Stockwin; R D van Gaalen; J A Polonsky; Z N Kamvar; P A Demarsh; E Dahlqwist; S Li; E Miguel; T Jombart; J Lessler; S Cauchemez; A Cori
Journal:  Epidemics       Date:  2019-08-26       Impact factor: 4.396

9.  Will an outbreak exceed available resources for control? Estimating the risk from invading pathogens using practical definitions of a severe epidemic.

Authors:  R N Thompson; C A Gilligan; N J Cunniffe
Journal:  J R Soc Interface       Date:  2020-11-11       Impact factor: 4.118

  9 in total

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