The ABC of terms used in mathematical models of infectious diseases
Identifieur interne : 001C70 ( Istex/Curation ); précédent : 001C69; suivant : 001C71The ABC of terms used in mathematical models of infectious diseases
Auteurs : Sharmistha Mishra [Canada, Royaume-Uni] ; David N. Fisman [Canada] ; Marie-Claude Boily [Royaume-Uni, Canada]Source :
- Journal of Epidemiology and Community Health [ 0143-005X ] ; 2011-01.
English descriptors
- Teeft :
- Average number, Average outcome, Behavioural, Behavioural differences, Boily, Compartmental, Compartmental model, Compartmental models, Complex models, Computational algorithm, Contact pattern, Contact rate, Contact structure, Deterministic framework, Deterministic model, Deterministic models, Different stages, Differential equations, Disease transmission, Dynamics, Endemic equilibrium, Epidemic disease, Epidemiol, Epidemiol community health, Epidemiology, Equilibrium prevalence, Eradication fraction, Glossary, Gure, Herd immunity, Heterogeneity, Homogeneous population, Imperial college, Infection, Infectious disease, Infectious diseases, Infectious diseases epidemiology, Infectious host, Infectious individuals, Initial conditions, Intermediate host, Malaria, Malaria vaccines, Mathematical epidemiology, Mathematical model, Mathematical modeling, Mathematical models, Mathematical theory, Model assumptions, Model models, Model outcomes, Model parameters, Modelling, Monte carlo simulations, Natural history, Natural immunity, Network models, Open population, Parameter, Parameter sets, Parameter values, Pathogen, Peer review, Physical contact, Population size, Prevalence, Proc natl acad, Protective immunity, Public health, Recent years, Risk factor, Risk group, Royal society, Schematic representation, Sensitivity analysis, Simulation, State variables, Statistical models, Stochastic, Stochastic models, Study design, Susceptible, Susceptible host, Susceptible hosts, Susceptible population, Transmission dynamics, Transmission dynamics models, Transmission probability, Transmission process, Uncertainty analysis, Unit time, Vaccine.
Abstract
Mathematical models that incorporate a dynamic risk of infection figure prominently in the study of infectious diseases epidemiology as a tool to inform public health policy. In recent years, their use has expanded to address methodological questions, inform and validate study design and evaluate interventions. This glossary briefly highlights the applications of transmission dynamics modelling, explains different modelling methodologies and defines commonly encountered terms to provide an introductory and conceptual understanding of the vocabulary and frameworks used in the literature.
Url:
DOI: 10.1136/jech.2009.097113
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