Partial Unlock for COVID-19-Like Epidemics Can Save 1–3 Million Lives Worldwide

17 Pages Posted: 14 Apr 2020 Last revised: 14 Jul 2020

Date Written: May 14, 2020

Abstract

Objectives: We study partial unlock or reopening interaction with seasonal effects in a managed epidemic to quantify overshoot effects on small and large unlock steps and discover robust strategies for reducing overshoot. Methods: We simulate partial unlock of social distancing for epidemics over a range of replication factor, immunity duration and seasonality factor for strategies targeting immunity thresholds using overshoot optimization. Results: Seasonality change must be taken into account as one of the steps in an easing sequence, and a two step unlock, including seasonal effects, minimizes overshoot and deaths. It may cause undershoot, which causes rebounds and assists survival of the pathogen. Conclusions: Partial easing levels, even low levels for economic relief while waiting on a vaccine, have population immunity thresholds based on the reduced replication rates and may experience overshoot as well. We further find a two step strategy remains highly sensitive to variations in case ratio, replication factor, seasonality and timing. We demonstrate a three or more step strategy is more robust, and conclude that the best possible approach minimizes deaths under a range of likely actual conditions which include public response.

Note: Funding: The authors received no external funding for this research.

Conflict of Interest: The authors declare no conflict of interest regarding this research.

Keywords: Coronavirus, COVID-19, pandemic, model, partial unlock, social distancing, economic impact, ventilator utilization, SARS-CoV-2, overshoot

JEL Classification: I12, I15, I10, C02, C61, C63

Suggested Citation

Shuler, Robert and Koukouvitis, Theodore and Suematsu, Dyske, Partial Unlock for COVID-19-Like Epidemics Can Save 1–3 Million Lives Worldwide (May 14, 2020). Available at SSRN: https://ssrn.com/abstract=3575147 or http://dx.doi.org/10.2139/ssrn.3575147

Robert Shuler (Contact Author)

Shuler Research ( email )

United States

Theodore Koukouvitis

Shuler Research ( email )

United States

Dyske Suematsu

Shuler Research ( email )

United States

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