id: 05823548
dt: a
an: 05823548
au: Xiao, Hong; Tian, Huaiyu; Shao, Lei; Zhao, Jian; Xu, Jing-Zhe
ti: Spatio-temporal simulation of epidemiological SIQR model based on the
    multi-agent system with focus on influenza A (H1N1).
so: Cai, Zhihua (ed.) et al., Computational intelligence and intelligent
    systems. 5th international symposium, ISICA 2010, Wuhan, China, October
    22‒24, 2010. Proceedings. Berlin: Springer (ISBN
    978-3-642-16387-6/pbk; 978-3-642-16388-3/ebook). Communications in
    Computer and Information Science 107, 180-189 (2010).
py: 2010
pu: Berlin: Springer
la: EN
cc: 
ut: influenza A (H1N1); multi-agent system; SIQR model; spread simulation
ci: 
li: doi:10.1007/978-3-642-16388-3_20
ab: Summary: 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.
rv: