| Autor: |
Mihaylov, Kiril, Ilieva, Elica, Iliev, Mario |
| Předmět: |
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| Zdroj: |
Proceedings of the International Conference on Application of Information & Communication Technology & Statistics in Economy & Education; 2016, p571-574, 4p |
| Abstrakt: |
Mathematical epidemiology differs from most sciences in that it can be not verified experimentally due to the fact that experiments are impossible as practical and certainly unethical. This sets the great importance of mathematical models as a means of comparing different strategies and plans for dealing with an epidemic or pandemic, and to take action to deal with the disease. In classical models for parameter state we take the number of individuals infected and / or cured of the disease, as well as fatal. To limit the spread of the disease is important that we know the spatial distribution of the sick. When we use mathematical modeling this means that the parameter of state must choose the appropriate densities of different groups - infected healthy etc. In this paper we will discuss some popular models of epidemics receive a general mathematical model, without going into technical details. This model consists mainly from system parabolic partial differential equations and can help us to understand the processes of spatial and temporal behavior of the relevant phenomena. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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