Robot Dance: A mathematical optimization platform for intervention against COVID-19 in a complex network
Robot Dance: A mathematical optimization platform for intervention against COVID-19 in a complex network
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DOI：
10.1016/j.ejco.2022.100025
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发表时间：
2022-02-01
影响因子：
2.4
通讯作者：
Silva PJ
中科院分区：
文献类型：
--
作者：
Nonato LG;Peixoto P;Pereira T;Sagastizábal C;Silva PJ
Robot Dance是为应对COVID-19疫情而开发的计算优化平台，用于支持区域层面的公共政策决策。当居民通过区域网络的流动性受到关注时，该工具适合了解和建议遏制传染病传播所需的干预水平。 SARS-CoV-2 病毒的情况就是如此，该病毒具有高度传染性，因此将人群流通纳入流行病学分区模型至关重要。机器人之舞预测了流行病在复杂的区域网络中的传播，有助于识别脆弱的环节，在这些环节上采取差异化的遏制、检测和疫苗接种措施非常重要。该模型基于随机优化，根据个人通勤情况和各地区医院情况确定有效策略。重症监护病床容量的不确定性通过机会约束方法来处理。机器人舞蹈的一些功能在巴西圣保罗州进行了展示，使用了该地区超过四千万居民的真实数据。
Robot Dance is a computational optimization platform developed in response to the COVID-19 outbreak, to support the decision-making on public policies at a regional level. The tool is suitable for understanding and suggesting levels of intervention needed to contain the spread of infectious diseases when the mobility of inhabitants through a regional network is a concern. Such is the case for the SARS-CoV-2 virus that is highly contagious and, therefore, makes it crucial to incorporate the circulation of people in the epidemiological compartmental models. Robot Dance anticipates the spread of an epidemic in a complex regional network, helping to identify fragile links where applying differentiated measures of containment, testing, and vaccination is important. Based on stochastic optimization, the model determines efficient strategies on the basis of commuting of individuals and the situation of hospitals in each district. Uncertainty in the capacity of intensive care beds is handled by a chance-constraint approach. Some functionalities of Robot Dance are illustrated in the state of São Paulo in Brazil, using real data for a region with more than forty million inhabitants.
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