Literature DB >> 17015347

How do pathogen evolution and host heterogeneity interact in disease emergence?

Andrew Yates1, Rustom Antia, Roland R Regoes.   

Abstract

Heterogeneity in the parameters governing the spread of infectious diseases is a common feature of real-world epidemics. It has been suggested that for pathogens with basic reproductive number R(0)>1, increasing heterogeneity makes extinction of disease more likely during the early rounds of transmission. The basic reproductive number R(0) of the introduced pathogen may, however, be less than 1 after the introduction, and evolutionary changes are then required for R(0) to increase to above 1 and the pathogen to emerge. In this paper, we consider how host heterogeneity influences the emergence of both non-evolving pathogens and those that must undergo adaptive changes to spread in the host population. In contrast to previous results, we find that heterogeneity does not always make extinction more likely and that if adaptation is required for emergence, the effect of host heterogeneity is relatively small. We discuss the application of these ideas to vaccination strategies.

Entities:  

Mesh:

Year:  2006        PMID: 17015347      PMCID: PMC1679899          DOI: 10.1098/rspb.2006.3681

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  24 in total

1.  An intuitive formulation for the reproductive number for the spread of diseases in heterogeneous populations.

Authors:  J M Hyman; J Li
Journal:  Math Biosci       Date:  2000-09       Impact factor: 2.144

2.  Emerging infectious pathogens of wildlife.

Authors:  A Dobson; J Foufopoulos
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-07-29       Impact factor: 6.237

3.  On treatment of tuberculosis in heterogeneous populations.

Authors:  Brian M Murphy; Benjamin H Singer; Denise Kirschner
Journal:  J Theor Biol       Date:  2003-08-21       Impact factor: 2.691

4.  Branching process models for surveillance of infectious diseases controlled by mass vaccination.

Authors:  C P Farrington; M N Kanaan; N J Gay
Journal:  Biostatistics       Date:  2003-04       Impact factor: 5.899

5.  The effect of preferential mixing on the growth of an epidemic.

Authors:  I C Marschner
Journal:  Math Biosci       Date:  1992-04       Impact factor: 2.144

Review 6.  Infectious disease dynamics: What characterizes a successful invader?

Authors:  R M May; S Gupta; A R McLean
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-06-29       Impact factor: 6.237

7.  Risk factors for human disease emergence.

Authors:  L H Taylor; S M Latham; M E Woolhouse
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2001-07-29       Impact factor: 6.237

8.  Epidemiology: dimensions of superspreading.

Authors:  Alison P Galvani; Robert M May
Journal:  Nature       Date:  2005-11-17       Impact factor: 49.962

9.  Superspreading SARS events, Beijing, 2003.

Authors:  Zhuang Shen; Fang Ning; Weigong Zhou; Xiong He; Changying Lin; Daniel P Chin; Zonghan Zhu; Anne Schuchat
Journal:  Emerg Infect Dis       Date:  2004-02       Impact factor: 6.883

10.  The role of evolution in the emergence of infectious diseases.

Authors:  Rustom Antia; Roland R Regoes; Jacob C Koella; Carl T Bergstrom
Journal:  Nature       Date:  2003-12-11       Impact factor: 49.962

View more
  38 in total

1.  Experimental evidence that source genetic variation drives pathogen emergence.

Authors:  John J Dennehy; Nicholas A Friedenberg; Robert C McBride; Robert D Holt; Paul E Turner
Journal:  Proc Biol Sci       Date:  2010-05-19       Impact factor: 5.349

2.  Population viscosity suppresses disease emergence by preserving local herd immunity.

Authors:  Timothy C Reluga; Eunha Shim
Journal:  Proc Biol Sci       Date:  2014-12-07       Impact factor: 5.349

3.  Dissecting the contributions of time and microbe density to variation in immune gene expression.

Authors:  Ann T Tate; Andrea L Graham
Journal:  Proc Biol Sci       Date:  2017-07-26       Impact factor: 5.349

4.  The effect of population heterogeneities upon spread of infection.

Authors:  Damian Clancy; Christopher J Pearce
Journal:  J Math Biol       Date:  2012-09-02       Impact factor: 2.259

5.  Multiple scales of selection influence the evolutionary emergence of novel pathogens.

Authors:  Miran Park; Claude Loverdo; Sebastian J Schreiber; James O Lloyd-Smith
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-02-04       Impact factor: 6.237

6.  Mortality rates differ among amphibian populations exposed to three strains of a lethal ranavirus.

Authors:  Danna M Schock; Trent K Bollinger; James P Collins
Journal:  Ecohealth       Date:  2010-02-09       Impact factor: 3.184

7.  Insights into the evolution and emergence of a novel infectious disease.

Authors:  Ruben J Kubiak; Nimalan Arinaminpathy; Angela R McLean
Journal:  PLoS Comput Biol       Date:  2010-09-30       Impact factor: 4.475

8.  Risk factors for the evolutionary emergence of pathogens.

Authors:  H K Alexander; T Day
Journal:  J R Soc Interface       Date:  2010-04-21       Impact factor: 4.118

9.  A marginal benefit approach for vaccinating influenza "superspreaders".

Authors:  Katherine J Skene; A David Paltiel; Eunha Shim; Alison P Galvani
Journal:  Med Decis Making       Date:  2014-05       Impact factor: 2.583

10.  Evolution and emergence of novel human infections.

Authors:  N Arinaminpathy; A R McLean
Journal:  Proc Biol Sci       Date:  2009-08-19       Impact factor: 5.349

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.