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CEPR Discussion Paper 14791, May 2020, with Martin Gonzalez-Eiras. PDF (local copy). We contrast the canonical epidemiological SIR model due to Kermack and McKendrick (1927) with more tractable alternatives that offer similar degrees of “realism” and flexibility. We provide results connecting the different models which can be exploited for calibration purposes. We use the expected spread of COVID-19 in the United States to exemplify our results.
Topics:
Dirk Niepelt considers the following as important: Contributions, coronavirus, COVID-19, Epidemiology, Infection, Logistic model, Research, SIR model, United States
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CEPR Discussion Paper 14791, May 2020, with Martin Gonzalez-Eiras. PDF (local copy). We contrast the canonical epidemiological SIR model due to Kermack and McKendrick (1927) with more tractable alternatives that offer similar degrees of “realism” and flexibility. We provide results connecting the different models which can be exploited for calibration purposes. We use the expected spread of COVID-19 in the United States to exemplify our results.
Topics:
Dirk Niepelt considers the following as important: Contributions, coronavirus, COVID-19, Epidemiology, Infection, Logistic model, Research, SIR model, United States
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CEPR Discussion Paper 14791, May 2020, with Martin Gonzalez-Eiras. PDF (local copy).
We contrast the canonical epidemiological SIR model due to Kermack and McKendrick (1927) with more tractable alternatives that offer similar degrees of “realism” and flexibility. We provide results connecting the different models which can be exploited for calibration purposes. We use the expected spread of COVID-19 in the United States to exemplify our results.