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The reinfection threshold regulates pathogen diversity: the case of influenza

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Resumo:The awareness that pathogens can adapt and evolve over relatively short time-scales is changing our view of infectious disease epidemiology and control. Research on the transmission dynamics of antigenically diverse pathogens is progressing and there is increasing recognition for the need of new concepts and theories. Mathematical models have been developed considering the modelling unit in two extreme scales: either diversity is not explicitly represented or diversity is represented at the finest scale of single variants. Here, we use an intermediate approach and construct a model at the scale of clusters of variants. The model captures essential properties of more detailed systems and is much more amenable to mathematical treatment. Specificities of pathogen clusters and the overall potential for transmission determine the reinfection rates. These are, in turn, important regulators of cluster dynamics. Ultimately, we detect a reinfection threshold (RT) that separates different behaviours along the transmissibility axis: below RT, levels of infection are low and cluster substitutions are probable; while above RT, levels of infection are high and multiple cluster coexistence is the most probable outcome.
Autores principais:Gokaydin, D.
Outros Autores:Oliveira-Martins, J.B.; Gordo, I.; Gomes, M.G.M.
Assunto:Antigenic Variation/genetics/immunology Disease Outbreaks/statistics & numerical data Disease Transmission, Infectious/statistics & numerical data Genetic Variation/genetics Influenza A virus/genetics/immunology Influenza, Human/epidemiology/genetics/immunology Models, Immunological
Ano:2007
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso aberto
Instituição associada:Repositório do GIMM – Gulbenkian Institute for Molecular Medicine
Idioma:inglês
Origem:ARCA
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author Gokaydin, D.
author2 Oliveira-Martins, J.B.
Gordo, I.
Gomes, M.G.M.
author2_role author
author
author
author_facet Gokaydin, D.
Oliveira-Martins, J.B.
Gordo, I.
Gomes, M.G.M.
author_role author
contributor_name_str_mv ARCA
country_str PT
creators_json_txt [{\"Person.name\":\"Gokaydin, D.\"},{\"Person.name\":\"Oliveira-Martins, J.B.\"},{\"Person.name\":\"Gordo, I.\"},{\"Person.name\":\"Gomes, M.G.M.\"}]
datacite.contributors.contributor.contributorName.fl_str_mv ARCA
datacite.creators.creator.creatorName.fl_str_mv Gokaydin, D.
Oliveira-Martins, J.B.
Gordo, I.
Gomes, M.G.M.
datacite.date.Accepted.fl_str_mv 2007-02-22T00:00:00Z
datacite.date.available.fl_str_mv 2010-03-25T11:06:21Z
datacite.date.embargoed.fl_str_mv 2010-03-25T11:06:21Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Antigenic Variation/genetics/immunology
Disease Outbreaks/statistics & numerical data
Disease Transmission, Infectious/statistics & numerical data
Genetic Variation/genetics
Influenza A virus/genetics/immunology
Influenza, Human/epidemiology/genetics/immunology
Models, Immunological
datacite.titles.title.fl_str_mv The reinfection threshold regulates pathogen diversity: the case of influenza
dc.contributor.none.fl_str_mv ARCA
dc.creator.none.fl_str_mv Gokaydin, D.
Oliveira-Martins, J.B.
Gordo, I.
Gomes, M.G.M.
dc.date.Accepted.fl_str_mv 2007-02-22T00:00:00Z
dc.date.available.fl_str_mv 2010-03-25T11:06:21Z
dc.date.embargoed.fl_str_mv 2010-03-25T11:06:21Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10400.7/82
dc.language.none.fl_str_mv eng
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Antigenic Variation/genetics/immunology
Disease Outbreaks/statistics & numerical data
Disease Transmission, Infectious/statistics & numerical data
Genetic Variation/genetics
Influenza A virus/genetics/immunology
Influenza, Human/epidemiology/genetics/immunology
Models, Immunological
dc.title.fl_str_mv The reinfection threshold regulates pathogen diversity: the case of influenza
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description The awareness that pathogens can adapt and evolve over relatively short time-scales is changing our view of infectious disease epidemiology and control. Research on the transmission dynamics of antigenically diverse pathogens is progressing and there is increasing recognition for the need of new concepts and theories. Mathematical models have been developed considering the modelling unit in two extreme scales: either diversity is not explicitly represented or diversity is represented at the finest scale of single variants. Here, we use an intermediate approach and construct a model at the scale of clusters of variants. The model captures essential properties of more detailed systems and is much more amenable to mathematical treatment. Specificities of pathogen clusters and the overall potential for transmission determine the reinfection rates. These are, in turn, important regulators of cluster dynamics. Ultimately, we detect a reinfection threshold (RT) that separates different behaviours along the transmissibility axis: below RT, levels of infection are low and cluster substitutions are probable; while above RT, levels of infection are high and multiple cluster coexistence is the most probable outcome.
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eu_rights_str_mv openAccess
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instname_str Repositório do GIMM – Gulbenkian Institute for Molecular Medicine
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person_str_mv Gokaydin, D.
Oliveira-Martins, J.B.
Gordo, I.
Gomes, M.G.M.
publishDate 2007
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spelling engptThe awareness that pathogens can adapt and evolve over relatively short time-scales is changing our view of infectious disease epidemiology and control. Research on the transmission dynamics of antigenically diverse pathogens is progressing and there is increasing recognition for the need of new concepts and theories. Mathematical models have been developed considering the modelling unit in two extreme scales: either diversity is not explicitly represented or diversity is represented at the finest scale of single variants. Here, we use an intermediate approach and construct a model at the scale of clusters of variants. The model captures essential properties of more detailed systems and is much more amenable to mathematical treatment. Specificities of pathogen clusters and the overall potential for transmission determine the reinfection rates. These are, in turn, important regulators of cluster dynamics. Ultimately, we detect a reinfection threshold (RT) that separates different behaviours along the transmissibility axis: below RT, levels of infection are low and cluster substitutions are probable; while above RT, levels of infection are high and multiple cluster coexistence is the most probable outcome.application/pdfptThe reinfection threshold regulates pathogen diversity: the case of influenzaGokaydin, D.Oliveira-Martins, J.B.Gordo, I.Gomes, M.G.M.HostingInstitutionOrganizationalARCAe-mailmailto:arca.repository@gimm.ptarca.repository@gimm.ptISSNIsPartOf1742-5662DOIIsPartOf10.1098/rsif.2006.01592010-03-25T11:06:21Z2007-02-222007-02-22T00:00:00ZHandlehttp://hdl.handle.net/10400.7/82http://purl.org/coar/access_right/c_abf2open accessAntigenic Variation/genetics/immunologyDisease Outbreaks/statistics & numerical dataDisease Transmission, Infectious/statistics & numerical dataGenetic Variation/geneticsInfluenza A virus/genetics/immunologyInfluenza, Human/epidemiology/genetics/immunologyModels, Immunological187976 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://arca.gimm.pt/bitstreams/6b7a9a75-47f6-4098-bc92-6d6933d86158/downloadJournal of the Royal Society Interface137142
spellingShingle The reinfection threshold regulates pathogen diversity: the case of influenza
Gokaydin, D.
Antigenic Variation/genetics/immunology
Disease Outbreaks/statistics & numerical data
Disease Transmission, Infectious/statistics & numerical data
Genetic Variation/genetics
Influenza A virus/genetics/immunology
Influenza, Human/epidemiology/genetics/immunology
Models, Immunological
status SINGLETON
subject.fl_str_mv Antigenic Variation/genetics/immunology
Disease Outbreaks/statistics & numerical data
Disease Transmission, Infectious/statistics & numerical data
Genetic Variation/genetics
Influenza A virus/genetics/immunology
Influenza, Human/epidemiology/genetics/immunology
Models, Immunological
title The reinfection threshold regulates pathogen diversity: the case of influenza
title_full The reinfection threshold regulates pathogen diversity: the case of influenza
title_fullStr The reinfection threshold regulates pathogen diversity: the case of influenza
title_full_unstemmed The reinfection threshold regulates pathogen diversity: the case of influenza
title_short The reinfection threshold regulates pathogen diversity: the case of influenza
title_sort The reinfection threshold regulates pathogen diversity: the case of influenza
topic Antigenic Variation/genetics/immunology
Disease Outbreaks/statistics & numerical data
Disease Transmission, Infectious/statistics & numerical data
Genetic Variation/genetics
Influenza A virus/genetics/immunology
Influenza, Human/epidemiology/genetics/immunology
Models, Immunological
topic_facet Antigenic Variation/genetics/immunology
Disease Outbreaks/statistics & numerical data
Disease Transmission, Infectious/statistics & numerical data
Genetic Variation/genetics
Influenza A virus/genetics/immunology
Influenza, Human/epidemiology/genetics/immunology
Models, Immunological
url http://hdl.handle.net/10400.7/82
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