Spatio-temporal simulation of epidemiological SIQR model based on the multi-agent system with focus on influenza A (H1N1)

Abstract

Influenza A (H1N1) has caused tremendous damage in the world, so to learn its law is of great significance in the epidemic prevention and social stability. Taking the multi-agent system (MAS), geo-spatial environment to build the simulation model, SIQR epidemic model is introduced to simulate the process of the spread of influenza A (H1N1), test the multiple sets of preventive and control measures proposed from the perspectives of administrators and the public and do comparisons with the testing results. The testing results indicate that: the control of short-term epidemic spread requires administrators to implement powerful effective measures in public places to isolate patients, while inhibition of spread and rebound of the epidemic in a long-term way hereof needs administrators and the public working together to strengthen the self-protection, and timely medical treatment; repeated trials of the disease shows that the occurrence of rebound in the vicinity of 100d; the number of the immune and the susceptible are negatively correlated. © 2010 Springer-Verlag.