COVID-19 has swept across the globe and disrupted all vectors of social life. Every informed measure must be taken to stop its spread, bring down number of new infections and move to normalization of daily life. Contemporary research has not identified waste management as one of the critical transmission vectors for COVID-19 virus. However, most underdeveloped countries are facing problems in waste management processes due to the general inadequacy and inability of waste management. In that context, smart intervention will be needed to contain possibility of the COVID-19 spread due to inadequate waste management. This paper presents a comparative study of the artificial intelligence/machine learning based techniques, and potential applications in the COVID-19 waste management cycle (WMC). A general integrated solid waste management (ISWM) strategy is mapped for both short-term and long-term goals of COVID-19 WMC, making use of the techniques investigated. By aligning current health/waste-related guidelines from health organizations and governments worldwide and contemporary, relevant research in area, the challenge of COVID-19 waste management and, subsequently, slowing the pandemic down may be assisted.

中文翻译：

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针对 COVID-19 大流行的基于人工智能的废物管理策略研究

COVID-19 席卷全球，扰乱了社会生活的所有载体。必须采取一切明智的措施来阻止其传播，减少新感染的数量，并使日常生活正常化。当代研究尚未将废物管理确定为 COVID-19 病毒的关键传播媒介之一。然而，由于废物管理普遍不足和无能，大多数不发达国家在废物管理过程中面临问题。在这种情况下，由于废物管理不善，需要进行明智的干预来控制 COVID-19 传播的可能性。本文介绍了基于人工智能/机器学习的技术的比较研究，以及在 COVID-19 废物管理循环 (WMC) 中的潜在应用。利用所研究的技术，为 COVID-19 WMC 的短期和长期目标制定了一般综合固体废物管理 (ISWM) 战略。通过调整来自世界各地卫生组织和政府的当前与健康/废物相关的指南以及该领域的当代相关研究，可能有助于应对 COVID-19 废物管理的挑战，并随后减缓大流行。