 This paper presents a simulation-based methodology to analyze the spread of H5N1 using stochastic interactions between waterfowl, poultry, and humans.

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Presentation transcript:

 This paper presents a simulation-based methodology to analyze the spread of H5N1 using stochastic interactions between waterfowl, poultry, and humans  Discusses Avian Influenza’s impacts on human and poultry morbidity and mortality based on results from simulations.

 Avian influenza caused by H5N1, a highly virulent strain of the influenza-A virus  Virus is endemic to water flow in certain areas  It has a devastating impact on poultry causing 100% mortality within 48 h of infection  Spreads to humans through direct contact with infected poultry  Spreads to other parts of the world by infected migrating waterfowl

 A multi-disciplinary modeling, simulation, and analysis environment that seamlessly integrates knowledge from various fields so that epidemiologists, economists, and disease control centers can collaboratively use it and combat Avian Influenza.

 Defined as a sequence of time-dependent random variables X0, X1, X2,., where Xt is a random variable that describes the state of the process at discrete-time t.  Next state to which the process transitions is purely determined by the current state of the system and not its past.

 3 Biological entities – Water flow flocks, poultry flocks, human groups.  Life cycle events of individual entities modeled via probabilistic state changes occurring within each Markov process.  Spatial interactions between entities modeled using principles of spherical geometry.

 SIR life cycles of the three main entities: MP wf, MP po, and MP hu have been modeled as three different Markov processes represented by the set MP = {MP wf ;MP po ;MP hu }  temporal state of each Markov process is represented by the 5-tuple, S mp t =

 Migratory behavior of a process mp(mp M) is reflected by periodic, time dependent changes to variables X mp t and Y mp t  Interactions occur when the time-dependent neighborhood of a process N t mp (mp M) is a non-empty set as per the following equation:

 transmission of infection is modeled as a change in the measure of infection of the interacting entities as per the following equation:

 Phase 1: Development of Eco-description using graphical interface,  Phase 2: Simulation and Data collection phase  Phase 3: Data Visualization and Analysis phase that partially overlaps with Phase 2.

 Spread of avian influenza to USA is inevitable. Moreover, the infection will recur year after year based on the cyclical migration patterns of the infected  Controlling the population of infected waterfowl will not slow down intercontinental spread of avian influenza.  Current form with unsustained human-to- human transmissions, an H5N1 pandemic in humans is unlikely