The reinfection threshold regulates pathogen diversity: the case of influenza

Autor: Dinis Gökaydin, Isabel Gordo, José B Oliveira-Martins, M. Gabriela M. Gomes
Rok vydání: 2006
Předmět:
Disease Transmission
Infectious/statistics & numerical data
Population Dynamics
Biomedical Engineering
Biophysics
Disease Outbreaks/statistics & numerical data
Bioengineering
Biology
Biochemistry
law.invention
Disease Outbreaks
Biomaterials
Influenza
Human/epidemiology/genetics/immunology
Influenza
Human/epidemiology
law
Influenza A virus/genetics/immunology
Influenza
Human/immunology
Influenza
Human
Disease Transmission
Infectious
Animals
Humans
Computer Simulation
Pathogen
Models
Immunological
Genetic Variation
Infectious Disease Epidemiology
Virology
Antigenic Variation
Transmissibility (vibration)
Influenza
Human/genetics
Transmission (mechanics)
Genetic Variation/genetics
Evolutionary biology
Influenza A virus
Antigenic Variation/genetics/immunology
Biotechnology
Diversity (business)
Research Article
Zdroj: Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
ISSN: 1742-5689
Popis: For accessing the publication please visit the following link: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2358964/ 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.
Databáze: OpenAIRE
Externí odkaz: