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Colleagues,

Two questions re: pandemic flu simulation development. Thoughts?

1. Many of the models of pandemic flu are complex and model reality to a
 relatively high-level of granularity. I was thinking that a more
simplistic model (SD with some ABM) might be suitable for creating a
simulation that could be fed real-time data in the event of an actual
pandemic. Data would come from surveillance with a goal of trying to
determine (a) transmissibility and (b) antiviral resistance. Are others
working on more simplistic models of pandemic flu that can be linked to
surveillance data? What sort of surveillance data would be appropriate
to flow into such a simple model for trying to ascertain probable values
on the above factors?

2. I am struck by the fact that many simulations of pandemic flu focus
only on key performance indicators related to influenza-related
outcomes, while ignoring the broader costs that would clearly result
from targeted layered containment strategies. That is, could the costs
associated with trying to 'contain' a pandemic exceed the costs of just
letting it run it's course? So, for example, we close the schools to
reduce the number of infected, but this results in many children
becoming malnourished because they rely on free school lunches for a key
portion of their daily calories? How do we simulate the impact of
well-meaning policies that decrease the spread of the disease (a
benefit) but that also have tremendous costs when viewed outside the
perspective of the spread of the disease? That is, how do we create a
simulation to test policy decisions to ensure that well-meaning policies
don't actually make a tough situation even worse.


- --
Best regards,

Justin Lyon
M: +44 781 480 2797 (London, UK)
E: [EMAIL PROTECTED]
W: http://www.simudyne.com
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