Perfect counterfactuals for epidemic simulations

Volume: 374, Issue: 1776, Pages: 20180279 - 20180279
Published: May 20, 2019
Abstract
Simulation studies are often used to predict the expected impact of control measures in infectious disease outbreaks. Typically, two independent sets of simulations are conducted, one with the intervention, and one without, and epidemic sizes (or some related metric) are compared to estimate the effect of the intervention. Since it is possible that controlled epidemics are larger than uncontrolled ones if there is substantial stochastic...
Paper Details
Title
Perfect counterfactuals for epidemic simulations
Published Date
May 20, 2019
Volume
374
Issue
1776
Pages
20180279 - 20180279
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