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Life Sciences
Studies from Tufts University yield new data on life sciences
June 17th, 2008
According to recent research published in the journal Bulletin of Mathematical Biology, "We consider epidemics on social networks and address the question of whether administering a safe vaccine to one or more individuals can raise another individual's chances of becoming infected. Surprisingly, this can happen if transmission probabilities vary over time." "If transmission probabilities do not vary with time, we show that in the discrete SIR model vaccination cannot cause collateral damage. We phrase this question in terms of monotonicity properties and answer it using bond percolation methods," wrote W. Floyd and colleagues, Tufts University. ...
Source: TB & Outbreaks Week (2008-06-17)
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