Generality of endemic prevalence formulae
Autor: | Damian Clancy |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Statistics and Probability
Multiple stages Endemic Diseases Population Basic Reproduction Number Biology Communicable Diseases Models Biological General Biochemistry Genetics and Molecular Biology Article Statistics Prevalence Quantitative Biology::Populations and Evolution Animals Humans Robustness (economics) education Endemic equilibrium education.field_of_study Generality General Immunology and Microbiology Applied Mathematics General Medicine Mathematical Concepts Exponential function Spatial heterogeneity Homogeneous Modeling and Simulation Super-spreaders General Agricultural and Biological Sciences Basic reproduction number |
Zdroj: | Mathematical Biosciences |
ISSN: | 1879-3134 0025-5564 |
Popis: | Highlights • The standard formula for endemic prevalence is shown to apply in some generality. • The necessary correction to allow for non-exponential lifetimes is developed. • For heterogeneous populations, the standard formula applies under a symmetry condition. • Conditions are given under which the standard formula provides a bound for heterogenous populations. In simple infection models, the susceptible proportion s* in endemic equilibrium is related to the basic reproduction number R0 by s*=1/R0. We investigate the extent to which this relationship remains valid under more realistic modelling assumptions. In particular, we relax the biologically implausible assumptions that individuals’ lifetimes and infectious periods follow exponential distributions; allow a general recruitment process; allow for multiple stages of infection; and consider extension to a multigroup model in which the groups may represent, for instance, spatial heterogeneity, or the existence of super-spreaders. For a homogeneous population, we find that: (i) the susceptible proportion is s*=1/R0e, where R0e is a modified reproduction number, equal to R0 only in certain circumstances; (ii) the proportions of the population in each stage of infection are proportional to the expected time spent by an infected individual in that stage before recovery or death. We demonstrate robustness of the formula s*=1/R0 for many human infections by noting conditions under which R0e is approximately equal to R0, while pointing out other circumstances under which this approximation fails. For heterogeneous populations, the formula s*=1/R0 does not hold in general, but we are able to exhibit symmetry conditions under which it is valid. |
Databáze: | OpenAIRE |
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