Name
Title | ||
|---|---|---|
Multi-agent Systems for Epidemiology: Example of an Agent-Based Simulation Platform for Schistosomiasis. |
Abstract | ||
|---|---|---|
In this paper, we show the convenience of multi-agent systems to help computational epidemiology come to the rescue of mathematical epidemiology for its practical limits on modeling and simulation of complex epidemiological phenomena. Herein, we propose as an example, an agent-based simulation platform for schistosomiasis (commonly known as Bilharzia, which is a parasitic disease found in tropical and subtropical areas and caused by a tapeworm called schistosome or bilharzias) that we have experimented with actual data of schistosomiasis in Niamey (Niger). |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-60285-1_13 | PAAMS (Workshops) |
Keywords | DocType | Citations |
Complex systems,Mathematical modeling,Multi-agents system,Agent-based modeling and simulation,Schistosomiasis,Computational epidemiology | Conference | 0 |
PageRank | References | Authors |
0.34 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Papa Alioune Cisse | 1 | 1 | 1.04 |
| Jean Marie Dembele | 2 | 3 | 2.15 |
| Moussa Lo | 3 | 29 | 19.79 |
| Christophe Cambier | 4 | 0 | 0.34 |