Nonlinear Dynamics in Epidemic Systems
1Shanxi University, Taiyuan, China
2University of Shanghai for Science and Technology, Shanghai, China
3Third Military Medical University, Chongqing, China
4Institute of Theoretical & Experimental Biophysics, Moscow, Russia
5University of California, Riverside, USA
Nonlinear Dynamics in Epidemic Systems
Description
Epidemic spreading has been attracting considerable attention by epidemiologists or mathematicians as there are recurring threats posed by newly emerging and high profile infectious diseases, such as SARS, H1N1, Cholera, and H7N9. Epidemic systems are used to predict in populations how diseases transmit between humans or animals and find out the effective control and prevention measures which can guide policy decisions.
This special issue is focused not only on the theoretical results in epidemic systems, but also the analysis of real data or other related issues. The authors are invited to submit original papers and review articles.
Potential topics include, but are not limited to:
- Epidemic dynamics on complex networks
- Global dynamics of epidemic systems using differential equations
- Global dynamics of epidemic systems using difference equations
- Pattern dynamics of epidemic systems
- Global dynamics of epidemic systems using PDEs
- Analysis on epidemic data
- Statistical methods in epidemic systems
- Applications in ecosystems