Chapter-26 Terms in Infectious Disease Epidemiology

2008 ◽  
pp. 119-132
Author(s):  
Asma Rahim
Keyword(s):  
Infectious Disease ◽  
Disease Epidemiology ◽  
Infectious Disease Epidemiology

scholarly journals Mathematical Modelling and Prediction in Infectious Disease Epidemiology

2019 ◽  
Vol 23 (3) ◽  
pp. 328-334
Author(s):  
E. Ya. Yanchevskaya ◽  
O. A. Mesnyankina
Keyword(s):  
Mathematical Modeling ◽  
Infectious Disease ◽  
Mathematical Modelling ◽  
Mathematical Models ◽  
Modern World ◽  
Urgent Problem ◽  
Stages Of Development ◽  
Historical Aspects ◽  
Disease Epidemiology ◽  
Infectious Disease Epidemiology

Mathematical modeling of diseases is an urgent problem in the modern world. More and more researchers are turning to mathematical models to predict a particular disease, as they help the most correct and accurate study of changes in certain processes occurring in society. Mathematical modeling is indispensable in certain areas of medicine, where real experiments are impossible or difficult, for example, in epidemiology. The article is devoted to the historical aspects of studying the possibilities of mathematical modeling in medicine. The review demonstrates the main stages of development, achievements and prospects of this direction.

Infectious Disease Epidemiology

2005 ◽  
pp. 1327-1362
Author(s):  
Susanne Straif-Bourgeois ◽  
Raoult Ratard
Keyword(s):  
Infectious Disease ◽  
Disease Epidemiology ◽  
Infectious Disease Epidemiology

The basic reproduction number

2012 ◽  
Author(s):  
Odo Diekmann ◽  
Hans Heesterbeek ◽  
Tom Britton
Keyword(s):  
Infectious Disease ◽  
Basic Reproduction Number ◽  
Reproduction Number ◽  
Infected Individual ◽  
Vital Role ◽  
Point Of View ◽  
Epidemiological Models ◽  
Disease Epidemiology ◽  
Infectious Disease Epidemiology ◽  
The Basic Reproduction Number

The basic reproduction number (or ratio) R₀ is arguably the most important quantity in infectious disease epidemiology. It is among the quantities most urgently estimated for infectious diseases in outbreak situations, and its value provides insight when designing control interventions for established infections. From a theoretical point of view R₀ plays a vital role in the analysis of, and consequent insight from, infectious disease models. There is hardly a paper on dynamic epidemiological models in the literature where R₀ does not play a role. R₀ is defined as the average number of new cases of an infection caused by one typical infected individual, in a population consisting of susceptibles only. This chapter shows how R₀ can be characterized mathematically and provides detailed examples of its calculation in terms of parameters of epidemiological models, culminating in a set of algorithms (or “recipes”) for the calculation for compartmental epidemic systems.

scholarly journals Training in Infectious Disease Epidemiology through the Emerging Infections Program Sites

2015 ◽  
Vol 21 (9) ◽  
pp. 1516-1519 ◽  
Author(s):  
Duc J. Vugia ◽  
James I. Meek ◽  
Richard N. Danila ◽  
Timothy F. Jones ◽  
William Schaffner ◽  
...  
Keyword(s):  
Infectious Disease ◽  
Emerging Infections ◽  
Disease Epidemiology ◽  
Infectious Disease Epidemiology
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