The objective of this study is to identify the relationship between population density and the initial stages of the spread of disease in a local population. This study proposes to concentrate on the question of how population density affects the distribution of the susceptible individuals in a local population and thus affects the spread of the disease, measles. Population density is measured by the average of the number of contacts with susceptible individuals by each individual in the population during a fixed-length time period. The term “contact with susceptible individuals” means sufficient contact between two people for the disease to pass from an infectious person to a susceptible person. The fixed-length time period is taken to be ...
Epidemic dynamics pose a great challenge to stochastic modelling because chance events are major det...
Background: Mathematical models and simulations of disease spread often assume a constant per-conta...
Critical to our understanding of disease dynamics and effective disease control strategies is the re...
The objective of this study is to identify the relationship between population density and the initi...
This study is expected to contribute to the health sector, specifically to describe the dynamics of ...
Models of disease transmission in a population with changing densities must assume a relation betwee...
Before the development of mass-vaccination campaigns. measles exhibited persistent fluctuations (end...
A model for the spread of disease in a population consisting of several interacting subpopulations i...
<p>a) Fraction of population infected, i.e. outbreak size (red) and duration (blue) as a function of...
This Master Thesis proposes a new mathematical method for modelling infectious diseases that spread ...
ABSTRACT. Incidence describes the rate at which new cases of infectious diseases occur. An accurate ...
The SIR (susceptible-infectious-recovered) model is a well known method for predicting the number of...
The spread of an infectious disease may depend on the population size. For simplicity, classic epide...
In this study, we proposed and analyzed an SIS mathematicalmodel by considering population densityde...
In this study, we proposed and analyzed an SIS mathematicalmodel by considering population densityde...
Epidemic dynamics pose a great challenge to stochastic modelling because chance events are major det...
Background: Mathematical models and simulations of disease spread often assume a constant per-conta...
Critical to our understanding of disease dynamics and effective disease control strategies is the re...
The objective of this study is to identify the relationship between population density and the initi...
This study is expected to contribute to the health sector, specifically to describe the dynamics of ...
Models of disease transmission in a population with changing densities must assume a relation betwee...
Before the development of mass-vaccination campaigns. measles exhibited persistent fluctuations (end...
A model for the spread of disease in a population consisting of several interacting subpopulations i...
<p>a) Fraction of population infected, i.e. outbreak size (red) and duration (blue) as a function of...
This Master Thesis proposes a new mathematical method for modelling infectious diseases that spread ...
ABSTRACT. Incidence describes the rate at which new cases of infectious diseases occur. An accurate ...
The SIR (susceptible-infectious-recovered) model is a well known method for predicting the number of...
The spread of an infectious disease may depend on the population size. For simplicity, classic epide...
In this study, we proposed and analyzed an SIS mathematicalmodel by considering population densityde...
In this study, we proposed and analyzed an SIS mathematicalmodel by considering population densityde...
Epidemic dynamics pose a great challenge to stochastic modelling because chance events are major det...
Background: Mathematical models and simulations of disease spread often assume a constant per-conta...
Critical to our understanding of disease dynamics and effective disease control strategies is the re...