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Mathematical Modeling of Bird Flu Propagation Urmi Ghosh-Dastidar New York City College of Technology City University of New York December 1, 2007.

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Presentation on theme: "Mathematical Modeling of Bird Flu Propagation Urmi Ghosh-Dastidar New York City College of Technology City University of New York December 1, 2007."— Presentation transcript:

1 Mathematical Modeling of Bird Flu Propagation Urmi Ghosh-Dastidar New York City College of Technology City University of New York December 1, 2007

2 Bird Flu Propagation Model Assumptions Disease initiates from Birds Birds may spread the disease to birds and humans Humans cannot transmit the disease Birds never recover from the disease; death is eventual (SI propagation model) Humans may recover from the disease or die; if recovered  permanent recovery  immunity (SIR propagation model)

3 Terminologies H(t) = Total number of humans at a given time t B(t) = Total number of birds at a given time t H s = Susceptible humans, B s = Susceptible birds H i = Infectious humans, B i = Infectious Birds H r = Recovered Humans H(t) = H s + H r + H i at any given time B(t) = B s + B i at any given time S H = H s /H; I H = H I /H S B = Bs/B; I B = B I /B The number of contacts per unit time by an infectious bird with the susceptible humans S H  H = (H s /H)  H where the average number of contacts (assuming that this contact is sufficient to transmit the infection) of an infectious bird with a human per unit time =  H

4 Bird Flu Model

5 Equilibrium Points

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9 Conclusion Irrespective of the initial infected population, the extent of disease propagation depends on the average contact number. The model is robust with respect to its parameters  H or a H ; in every case the model actually reaches equilibrium points E5 and E6 respectively if either of the followings are true: or Human-to-human transmission will be considered in future. Thank You!


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