Name
Title | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-16388-3_20 | Communications in Computer and Information Science |
Keywords | Field | DocType |
influenza A (H1N1),multi-agent system,SIQR model,spread simulation | Disease,Epidemic model,Computer science,Epidemiology,Multi-agent system,Risk analysis (engineering),Medical treatment | Conference |
Volume | Issue | ISSN |
107 | null | 1865-0929 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hong Xiao | 1 | 0 | 0.68 |
| Huai-yu Tian | 2 | 1 | 2.32 |
| Lei Shao | 3 | 0 | 0.34 |
| Jian Zhao | 4 | 0 | 0.34 |
| Jing-zhe Xu | 5 | 0 | 0.34 |