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Epidemiology
Data from Heriot-Watt University advance knowledge in epidemiology
March 25th, 2008
According to recent research from Scotland, "One of the principal challenges in epidemiological modeling is to parameterize models with realistic estimates for transmission rates in order to analyze strategies for control and to predict disease outcomes. Using a combination of replicated experiments, Bayesian statistical inference, and stochastic modeling, we introduce and illustrate a strategy to estimate transmission parameters for the spread of infection through a two-phase mosaic, comprising favorable and unfavorable hosts." "We focus on epidemics with local dispersal and formulate a spatially explicit, stochastic set of transition probabilities using a percolation...
Source: TB & Outbreaks Week (2008-03-25)
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