DocumentCode :
2371285
Title :
Controlling an Influenza Outbreak in Deterministic and Stochastic Models with the Emergence and Evolution of Drug Resistance
Author :
Salehi, Fazeleh S. ; Hashemi, S. Naser
Author_Institution :
Dept. of Math. & Comput. Sci., Amirkabir Univ. of Technol., Tehran, Iran
fYear :
2011
fDate :
20-23 June 2011
Firstpage :
183
Lastpage :
190
Abstract :
In this paper first a system of ordinary differential equations is formulated for an extended SIR influenza model. In our model, the emergence of drug resistance and the evolution of resistant strains are assumed. As a result, the coexistence of sensitive and resistant strains leads to the occurrence of consecutive epidemic waves during the disease infection. We employ two main control strategies: prophylaxis and antiviral treatment to study their influences in eradicating or mitigating the outbreak. Then we develop a deterministic model to a SDE form for taking into consideration the stochasticity of drug resistance spread. The basic reproduction numbers and the control reproduction numbers are calculated for the sensitive and resistant strains. Also we discuss the numerical results obtained for the final size of the epidemic from both, the deterministic and stochastic models.
Keywords :
differential equations; diseases; drugs; epidemics; stochastic processes; SIR influenza model; antiviral treatment; deterministic models; disease infection; drug resistance; influenza outbreak controlling; ordinary differential equations; prophylaxis; stochastic models; Computational modeling; Drugs; Influenza; Mathematical model; Resistance; Stochastic processes; Strain; Control strategies; Drug resistance; Epidemic model; Influenza pandemic; Stochastic differential equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Its Applications (ICCSA), 2011 International Conference on
Conference_Location :
Santander
Print_ISBN :
978-1-4577-0142-9
Type :
conf
DOI :
10.1109/ICCSA.2011.66
Filename :
5959553
Link To Document :
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