Some agent-based models have been developed to estimate the spread progression of coronavirus disease 2019 (COVID-19) and to evaluate strategies aimed to control the outbreak of the infectious disease. Nonetheless, COVID-19 parameter estimation methods are limited to observational epidemiologic studies which are essentially aggregated models. We propose a mathematical structure to determine parameters of agent-based models accounting for the mutual effects of parameters. We then use the agent-based model to assess the extent to which different control strategies can intervene the transmission of COVID-19. Easing social distancing restrictions, opening businesses, speed of enforcing control strategies, quarantining family members of isolated cases on the disease progression and encouraging the use of facemask are the strategies assessed in this study. We estimate the social distancing compliance level in Sydney greater metropolitan area and then elaborate the consequences of moderating the compliance level in the disease suppression. We also show that social distancing and facemask usage are complementary and discuss their interactive effects in detail.

已经开发了一些基于代理的模型来估计 2019 年冠状病毒病 (COVID-19) 的传播进展，并评估旨在控制传染病爆发的策略。尽管如此，COVID-19 参数估计方法仅限于观察性流行病学研究，这些研究基本上是聚合模型。我们提出了一种数学结构来确定基于代理的模型的参数，以考虑参数的相互影响。然后，我们使用基于代理的模型来评估不同控制策略可以干预 COVID-19 传播的程度。放宽社交距离限制，开放企业，加快执行控制策略，隔离孤立病例的家庭成员以了解疾病进展并鼓励使用口罩是本研究评估的策略。我们估计了悉尼大都市区的社会疏离合规水平，然后详细说明了在疾病抑制中降低合规水平的后果。我们还表明，社交距离和口罩的使用是相辅相成的，并详细讨论了它们的互动效果。