PDF(Pubmed)
Abstract：
Throughout coronavirus disease (COVID-19) outbreaks, the centers for disease control and prevention (CDCP) of a country require monitoring of particular territories to provide public health guidance. In this work, the Internet of Diseases (IoD) is suggested for continuous real-time monitoring of infectious diseases for public health. Because converging information and communication technologies (ICTs) with point-of-care (POC) devices to enable the IoD for continuous real-time health monitoring and processing of clinical records are crucial, an IoD platform associating a lab-on-a-chip (LOC) device to diagnose severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) from oropharyngeal saliva samples have been developed and uploaded the resulted diagnostic data into a cloud-based system to be connected with CDCP. Moreover, a choropleth IoD map to visualize provincial infection rate is proposed along with the IoD platform. The developed platform is applied for the quantification of SARS-CoV-2 N-protein antigen with a LOD as low as 0.013 ng mL-1 and the infection rate of various provinces is projected with the IoD map successfully. Thus, the proposed IoD system has the potential to become an imperative tool for the disease control and prevention centers to restrain COVID-19 outbreaks by identifying the severity of particular regions.
摘要：
在冠状病毒病（COVID-19）爆发期间，一个国家的疾病控制和预防中心（CDCP）需要对特定地区进行监测，以提供公共卫生指导。在这项工作中,建议将疾病互联网（IoD）用于对公共卫生的传染病进行连续实时监测。由于将信息和通信技术（ICT）与即时护理（POC）设备融合，使IoD能够连续实时监测和处理临床记录至关重要，开发了一个IoD平台,该平台将芯片实验室(LOC)设备从口咽唾液样本中诊断出严重急性呼吸道综合征-冠状病毒-2(SARS-CoV-2),并将结果诊断数据上传到基于云的系统中,与CDCP连接.此外，提出了一个用于可视化省级感染率的ChoroplethIoD图以及IoD平台。开发的平台可用于SARS-CoV-2N蛋白抗原的定量，LOD低至0.013ngmL-1，并通过IoD图成功预测了各省的感染率。因此，拟议的IoD系统有可能成为疾病控制和预防中心通过确定特定地区的严重程度来抑制COVID-19暴发的必要工具。
