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Keywords:SEIR Model 

Working Paper
Replicating and Projecting the Path of COVID-19 with a Model-Implied Reproduction Number

We fit a simple epidemiology model to daily data on the number of currently-infected cases of COVID-19 in China, Italy, the United States, and Brazil. These four countries can be viewed as representing different stages, from late to early, of a COVID-19 epidemic cycle. We solve for a model-implied effective reproduction number Rt each day so that the model closely replicates the daily number of currently infected cases in each country. Using the model-implied time series of Rt, we construct a smoothed version of the in-sample trajectory which is used to project the future evolution of Rt and ...
Working Paper Series , Paper 2020-24

Working Paper
Social Distancing, Quarantine, Contact Tracing, and Testing: Implications of an Augmented SEIR Model

This paper modifies the basic SEIR model to incorporate demand for health care. The model is used to study the relative effectiveness of policy interventions that include social distancing, quarantine, contact tracing, and random testing. A version of the model that is calibrated to the Ferguson et al. (2020) model suggests that permanent, high-intensity social distancing reduces mortality rates and peak ICU demand substantially, but that a policy that relaxes high-intensity social distancing over time in the context of a permanent efficient quarantine regime is even more effective and also ...
Working Paper , Paper 20-04

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