Using supercomputer to simulate a potential public health emergency,
scientists have developed a model that forecasts possible future course of a
bird flu pandemic, according to a latest study.
Strategies may include stockpiling early vaccines based on guessed flu
strains, developing a system for quickly producing and distributing a
tailor-made vaccine, and possibly restricting social mobility, scientists at the
Los Alamos National Laboratory and the University of Washington said on Monday.
The findings were published in an online edition of the National Academy of
Sciences.
Relying on antiviral drugs alone to combat a pandemic would require a large
stockpile of medication, noted the researchers.
In the United States, over 10 million courses of antiviral drugs are needed,
simulations results suggested, along with either extensive planning or
on-the-spot decisionmaking for efficient distribution.
For highly transmissible flu virus strains, the demand for antivirals would
likely exceed any reasonable supply, the researchers said.
A quick-response vaccination would be the most effective single strategy,
according to the researchers, but uncertainties about exact future virus strains
make it impossible to stockpile well-matched vaccines.
Instead, a vaccine from potential strains could be used to control the
pandemic until well-matched vaccines are quickly produced and distributed, the
researchers said.
Additionally, closing schools or restricting travel in affected areas might
be necessary to slow the spread of a highly transmissible virus strain until
vaccines could be distributed, they said.
"Based on the present work... we believe that a large stockpileof avian
influenza-based vaccine containing potential pandemic influenza antigens,
coupled with the capacity to rapidly make a better-matched vaccine based on
human strains, would be the best strategy to mitigate pandemic influenza," the
researchers wrote in the paper.
The large-scale simulation model examines the spread of a pandemic influenza
virus strain, such as an evolved, human-to-human transmissible H5N1 bird flu
virus, in the United States. It runs on the Los Alamos supercomputer that has
2,048 processors.
The simulation rolls out a city- and census-tract-level pictureof the spread
of infection through a synthetic population of 281 million people over the
course of 180 days, and examines the impact of interventions, from antiviral
therapy to school closures and travel restrictions, as the vaccine industry
struggles to catch up with the evolving virus.
"It's probably not going to be practical to contain a potential pandemic by
merely trying to limit contact between people (such asby travel restrictions,
quarantine or even closing schools), but we find that these measures are useful
in buying time to produce and distribute sufficient quantities of vaccine and
antiviral drugs," said Germann, the lead author of the study at the Los Alamos
Laboratory.
"Based on our results, combinations of mitigation strategies such as
stockpiling vaccines or antiviral agents, along with social distancing measures
could be particularly effective in slowing pandemic flu spread in the U.S.,"
added Ira Longini, a co-author of the study.