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用于新冠疫情的集成生物传感器系统与移动健康和基于污水的流行病学(iBMW)

An integrated biosensor system with mobile health and wastewater-based epidemiology (iBMW) for COVID-19 pandemic.

机构信息

State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, China.

State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, 550081, China.

出版信息

Biosens Bioelectron. 2020 Dec 1;169:112617. doi: 10.1016/j.bios.2020.112617. Epub 2020 Sep 16.

DOI:10.1016/j.bios.2020.112617
PMID:32998066
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7492834/
Abstract

The outbreak of coronavirus disease (COVID-19) has caused a significant public health challenge worldwide. A lack of effective methods for screening potential patients, rapidly diagnosing suspected cases, and accurately monitoring of the epidemic in real time to prevent the rapid spread of COVID-19 raises significant difficulties in mitigating the epidemic in many countries. As effective point-of-care diagnosis tools, simple, low-cost and rapid sensors have the potential to greatly accelerate the screening and diagnosis of suspected patients to improve their treatment and care. In particular, there is evidence that multiple pathogens have been detected in sewage, including SARS-CoV-2, providing significant opportunities for the development of advanced sensors for wastewater-based epidemiology that provide an early warning of the pandemic within the population. Sensors could be used to screen potential carriers, provide real-time monitoring and control of the epidemic, and even support targeted drug screening and delivery within the integration of emerging mobile health (mHealth) technology. In this communication, we discuss the feasibility of an integrated point-of-care biosensor system with mobile health for wastewater-based epidemiology (iBMW) for early warning of COVID-19, screening and diagnosis of potential infectors, and improving health care and public health. The iBMW will provide an effective approach to prevent, evaluate and intervene in a fast, affordable and reliable way, thus enabling real-time guidance for the government in providing effective intervention and evaluating the effectiveness of intervention.

摘要

冠状病毒病(COVID-19)的爆发在全球范围内造成了重大的公共卫生挑战。缺乏有效的方法来筛选潜在患者,快速诊断疑似病例,以及实时准确地监测疫情以防止 COVID-19 的快速传播,这给许多国家的疫情缓解带来了重大困难。作为有效的即时护理诊断工具,简单、低成本和快速的传感器有可能极大地加速对疑似患者的筛选和诊断,从而改善他们的治疗和护理。特别是有证据表明,包括 SARS-CoV-2 在内的多种病原体已在污水中被检测到,这为开发基于废水的流行病学的先进传感器提供了重要机会,从而可以在人群中对大流行进行早期预警。传感器可用于筛选潜在携带者,提供对疫情的实时监测和控制,甚至支持在新兴移动健康(mHealth)技术的整合中进行有针对性的药物筛选和输送。在本通讯中,我们讨论了用于基于废水的流行病学(iBMW)的集成即时护理生物传感器系统与移动健康的可行性,以用于 COVID-19 的早期预警、潜在感染者的筛选和诊断,以及改善医疗保健和公共卫生。iBMW 将提供一种有效的方法,以快速、负担得起和可靠的方式进行预防、评估和干预,从而为政府提供实时指导,以提供有效的干预措施并评估干预措施的效果。

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