scholarly journals Bringing chronic disease epidemiology and infectious disease epidemiology back together

2007 ◽  
Vol 61 (9) ◽  
pp. 802-802 ◽  
Author(s):  
B. C K Choi ◽  
H. Morrison ◽  
T. Wong ◽  
J. Wu ◽  
Y.-P. Yan
2019 ◽  
Vol 23 (3) ◽  
pp. 328-334
Author(s):  
E. Ya. Yanchevskaya ◽  
O. A. Mesnyankina

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.


2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Ralph Brinks

Chronic diseases impose a huge burden for mankind. Recently, a mathematical relation between the incidence and prevalence of a chronic disease in terms of a differential equation has been described. In this article, we study the characteristics of this differential equation. Furthermore, we prove the ill-posedness of a related inverse problem arising in chronic disease epidemiology. An example application for the inverse problem about type 1 diabetes in German women aged up to 35 years is given.


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