期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2021
卷号：24
期号：2
页码：1
DOI：10.18564/jasss.4585
出版社：University of Surrey, Department of Sociology
摘要：As a result of the COVID-19 worldwide pandemic, the United States instituted various non-pharmaceutical interventions (NPIs) in an eort to slow the spread of the disease. Although necessary for public safety, these NPIs can also have deleterious eects on the economy of a nation. State and federal leaders need tools that provide insight into which combination of NPIs will have the greatest impact on slowing the disease and at what point in time it is reasonably safe to start li ing these restrictions to everyday life. In the present work, we outline a modeling process that incorporates the parameters of the disease, the eects of NPIs, and the characteristics of individual communities to oer insight into when and to what degree certain NPIs should be instituted or li ed based on the progression of a given outbreak of COVID-19. We apply the model to the 24 county-equivalents of Maryland and illustrate that dierent NPI strategies can be employed in dierent parts of the state. Our objective is to outline a modeling process that combines the critical disease factors and factors relevant to decision-makers who must balance the health of the population with the health of the economy.
