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Application of Optimal Stopping Theory to Pandemic Lockdown Policies
2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 ; : 779-783, 2022.
Article in English | Scopus | ID: covidwho-1874169
ABSTRACT
During the COVID-19 pandemic, governments are facing challenges in determining the optimal time to exit the lockdown in their countries. A trade-off between health-related aspects and economic aspects should be achieved.This paper uses a discrete-time Markov Chain (DTMC) SIS model to find the optimal time to stop the lockdown. Two models are proposed Model 1 assumes that the reproduction number R is constant over time, while Model 2 considers that R is time-dependent. The analysis of Model 1 leads to simple optimal policies. © 2022 IEEE.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 2022 International Conference on Decision Aid Sciences and Applications, DASA 2022 Year: 2022 Document Type: Article