Department of Emergency Medicine, Second Xiangya Hospital, Central South University, Changsha, China.
Emergency Medicine and Difficult Diseases Institute, Central South University, Changsha, China.
J Med Internet Res. 2023 Nov 6;25:e44795. doi: 10.2196/44795.
Lockdowns and border closures due to COVID-19 imposed mental, social, and financial hardships in many societies. Living with the virus and resuming normal life are increasingly being advocated due to decreasing virus severity and widespread vaccine coverage. However, current trends indicate a continued absence of effective contingency plans to stop the next more virulent variant of the pandemic. The COVID-19-related mask waste crisis has also caused serious environmental problems and virus spreads. It is timely and important to consider how to precisely implement surveillance for the dynamic clearance of COVID-19 and how to efficiently manage discarded masks to minimize disease transmission and environmental hazards. In this viewpoint, we sought to address this issue by proposing an appropriate strategy for intelligent surveillance of infected cases and centralized management of mask waste. Such an intelligent strategy against COVID-19, consisting of wearable mask sample collectors (masklect) and voiceprints and based on the STRONG (Spatiotemporal Reporting Over Network and GPS) strategy, could enable the resumption of social activities and economic recovery and ensure a safe public health environment sustainably.
由于 COVID-19,许多社会都实施了封锁和边境关闭,这给人们带来了精神、社会和经济上的困难。由于病毒的严重程度降低和疫苗接种的广泛普及,人们越来越提倡与病毒共存并恢复正常生活。然而,目前的趋势表明,仍然缺乏有效的应急计划来阻止下一个更具毒性的大流行变异病毒。与 COVID-19 相关的口罩废物危机也造成了严重的环境问题和病毒传播。现在及时而重要的是要考虑如何精确实施对 COVID-19 的动态清除监测,以及如何有效地管理废弃口罩,以最大程度地减少疾病传播和环境危害。在这个观点中,我们通过提出一种针对感染病例的智能监测和口罩废物集中管理的适当策略来解决这个问题。这种基于 STRONG(基于网络和 GPS 的时空报告)策略的、由可穿戴口罩样本收集器(masklect)和语音识别组成的针对 COVID-19 的智能策略,可以使社会活动和经济恢复得以继续,并确保公共卫生环境的安全可持续。