The role of smart technologies in wastewater-based epidemiology

José Gonçalves
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引用次数: 0

Abstract

This article explores the role of smart technologies in advancing Wastewater-based epidemiology (WBE) for enhanced disease surveillance. Disease surveillance is crucial for monitoring and controlling infectious diseases, and WBE provides a complementary approach by analyzing wastewater to identify and track pathogens. During the COVID-19 pandemic, WBE has been successfully used to detect and monitor SARS-CoV-2 in various types of wastewater, providing early warning of outbreaks and identifying emerging hotspots. However, WBE faces challenges such as the need for specialized equipment and sensitive methodologies. To overcome these limitations, biosensors have been developed, offering high sensitivity, specificity, and rapid results. Electrochemical biosensors are particularly promising for WBE due to their real-time connectivity, low-cost design, and wireless data collection, despite their limitations. Integration of smart sensors into the Internet of Things (IoT) enables seamless data integration and real-time monitoring. Furthermore, the widespread use of smartphones presents an opportunity to revolutionize smart diagnostics by leveraging their features for data analysis and communication.
智能技术在基于废水的流行病学中的作用
本文探讨了智能技术在推进基于废水的流行病学(WBE)以加强疾病监测方面的作用。疾病监测对于监测和控制传染病至关重要,而WBE通过分析废水来识别和跟踪病原体提供了一种补充方法。在2019冠状病毒病大流行期间,WBE已成功用于检测和监测各类废水中的SARS-CoV-2,提供疫情预警并确定新出现的热点。然而,WBE面临着诸如需要专门的设备和敏感的方法等挑战。为了克服这些限制,生物传感器被开发出来,提供高灵敏度、特异性和快速的结果。电化学生物传感器由于其实时连接、低成本设计和无线数据收集而特别有希望用于WBE,尽管它们存在局限性。将智能传感器集成到物联网(IoT)中可以实现无缝数据集成和实时监控。此外,智能手机的广泛使用为利用其数据分析和通信功能彻底改变智能诊断提供了机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.70
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0.00%
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