Epidemiological Models Lacking Process Noise Can Be Overconfident
Published in Informatics for Health, 2017
Highlighted the importance of using stochastic modeling in population health decision-making. This work demonstrated how deterministic models might lead to overconfident predictions and presented examples using freely available tools to illustrate stochastic modeling's value in epidemic prediction and intervention policy analysis.
Recommended citation: Shpigelman L. (2017). "Epidemiological Models Lacking Process Noise Can Be Overconfident." Informatics for Health.
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