Journal of Simulation ( IF 1.3 ) Pub Date : 2020-04-15 , DOI: 10.1080/17477778.2020.1751570 Christine S.M. Currie 1 , John W. Fowler 2 , Kathy Kotiadis 3 , Thomas Monks 4 , Bhakti Stephan Onggo 1 , Duncan A. Robertson 5, 6 , Antuela A. Tako 5
ABSTRACT
Modelling has been used extensively by all national governments and the World Health Organisation in deciding on the best strategies to pursue in mitigating the effects of COVID-19. Principally these have been epidemiological models aimed at understanding the spread of the disease and the impacts of different interventions. But a global pandemic generates a large number of problems and questions, not just those related to disease transmission, and each requires a different model to find the best solution. In this article we identify challenges resulting from the COVID-19 pandemic and discuss how simulation modelling could help to support decision-makers in making the most informed decisions. Modellers should see the article as a call to arms and decision-makers as a guide to what support is available from the simulation community.
中文翻译:
仿真建模如何帮助减少COVID-19的影响
摘要
所有国家政府和世界卫生组织已广泛使用该模型来确定减轻COVID-19影响的最佳策略。主要是流行病学模型,旨在了解疾病的传播和不同干预措施的影响。但是,全球大流行不仅会引起与疾病传播相关的问题,还会产生大量问题,并且每个问题和问题都需要不同的模型来找到最佳解决方案。在本文中,我们确定了COVID-19大流行带来的挑战,并讨论了模拟建模如何帮助决策者做出最明智的决策。建模人员应将本文视为对武器和决策者的呼吁,作为对模拟社区可提供的支持的指南。