COVID-19的多任务学习框架社区卫生服务中心PPE需求的监测和预测
A Multi-Task Learning Framework for COVID-19 Monitoring and Prediction of PPE Demand in Community Health Centres
摘要：
目前，全世界都在寻求适当的缓解技术来控制和防止新的SARS-CoV-2的传播。在本文中，我们提出了一个独特的多任务学习框架，该框架联合预测了SARS-CoV-2以及社区卫生中心对特定人群的个人防护设备消费的影响。通过研究和分析预测病毒（SARS-CoV-2）的影响，使我们能够了解SARS-CoV- 2的性质以及促进其生长和传播的因素。因此，这些措施可提高公众意识，让民众更积极及谨慎，以减少2019冠状病毒病（COVID- 19）的传播。此外，了解和预测对个人防护装备的需求可以提高社区卫生中心医护人员的效率和安全性。由于SARS-CoV-2的新性质和菌株，这方面的文献和研究相对较少。这些现有文献已经尝试使用基于代理的模型、机器学习模型或数学模型来解决问题陈述。有鉴于此，我们的工作在这里增加了现有的文献，通过建模我们的问题陈述为多任务学习问题。我们的研究结果表明，政府行为和人为因素是影响SARS-CoV-2传播的最重要决定因素。
英文摘要：
Currently, the world seeks to find appropriate mitigation techniques to control and prevent the spread of the new SARS-CoV-2. In our paper herein, we present a peculiar Multi-Task Learning framework that jointly predicts the effect of SARS-CoV-2 as well as Personal-Protective-Equipment consumption in Community Health Centres for a given populace. Predicting the effect of the virus (SARS-CoV-2), via studies and analyses, enables us to understand the nature of SARS-CoV- 2 with reference to factors that promote its growth and spread. Therefore, these foster widespread awareness; and the populace can become more proactive and cautious so as to mitigate the spread of Corona Virus Disease 2019 (COVID- 19). Furthermore, understanding and predicting the demand for Personal Protective Equipment promotes the efficiency and safety of healthcare workers in Community Health Centres. Owing to the novel nature and strains of SARS-CoV-2, relatively few literature and research exist in this regard. These existing literature have attempted to solve the problem statement(s) using either Agent-based Models, Machine Learning Models, or Mathematical Models. In view of this, our work herein adds to existing literature via modeling our problem statements as Multi- Task Learning problems. Results from our research indicate that government actions and human factors are the most significant determinants that influence the spread of SARS-CoV-2.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
