Name
Abstract | ||
|---|---|---|
We use a stochastic simulation model of pandemic influenza to investigate realistic intervention strategies that can be used in reaction to developing outbreaks. The model is constructed to represent a typical midsized North American city. Our model predicts average illness attack rates and economic costs for various intervention scenarios, e.g., in the case when low-coverage reactive vaccination and limited antiviral use are combined with minimally disruptive social distancing strategies, including short-term closure of individual schools. We find that such combination strategies can be substantially more effective than vaccination alone from epidemiological and economic standpoints. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/WSC.2010.5678920 | Winter Simulation Conference |
Keywords | Field | DocType |
combination strategy,realistic intervention strategy,low-coverage reactive vaccination,individual school,limited antiviral use,economic standpoint,average illness attack rate,stochastic simulation model,various intervention scenario,economic cost,pandemic influenza,stochastic processes,modeling,social distance,stochastic simulation | Stochastic simulation,Computer science,Simulation,Vaccination,Social distance,Economic cost,Pandemic | Conference |
ISSN | ISBN | Citations |
0891-7736 | 978-1-4244-9864-2 | 0 |
PageRank | References | Authors |
0.34 | 1 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sigrún Andradóttir | 1 | 548 | 55.09 |
| Wenchi Chiu | 2 | 2 | 1.04 |
| David Goldsman | 3 | 904 | 159.71 |
| Mi Lim Lee | 4 | 0 | 0.34 |
| K. Leung | 5 | 487 | 67.33 |
| Beate Sander | 6 | 0 | 0.34 |
| David N. Fisman | 7 | 0 | 0.34 |
| Azhar Nizam | 8 | 0 | 0.34 |