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Since the outbreak of coronavirus disease 2019 (COVID-19), a number of COVID-19 related thyroid disorders have been reported, including subacute thyroiditis, autoimmune thyroid disease, non-thyroidal illness syndrome and some unexplained thyroid dysfunction. This review aimed to summarize clinical characteristics of COVID-19 related thyroid disorders and to discuss some possible mechanisms.Copyright © 2022, Peking Union Medical College Hospital. All rights reserved.
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The current outbreak of the SARS-CoV-2 caused the COVID-19 disease to spread rapidly globally. Specific and sensitive detection of SARS-CoV-2 is needed to prevent the disease from spread. Here, we present a solid-state CRISPR-Cas12a-assisted nanopores (SCAN) system to detect SARS-CoV-2. We introduced a new scheme using current drops and dwell times of ssDNA reporter translocation events to estimate the cleavage activity. We validated this scheme by a statistical model approximating the reporter length distribution over the cleavage reaction. We believe that the SCAN would provide a sensitive and specific detection method for SARS-COV-2. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.
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Since the outbreak of coronavirus disease 2019 (COVID-19), a number of COVID-19 related thyroid disorders have been reported, including subacute thyroiditis, autoimmune thyroid disease, non-thyroidal illness syndrome and some unexplained thyroid dysfunction. This review aimed to summarize clinical characteristics of COVID-19 related thyroid disorders and to discuss some possible mechanisms. © 2022, Peking Union Medical College Hospital. All rights reserved.
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Purpose The purpose of this study is to discuss the principles and factors that influence the site selection of emergency medical facilities for public health emergencies. This paper discusses the selection of the best facilities from the available facilities, proposes the capacity of new facilities, presents a logistic regression model and establishes a site selection model for emergency medical facilities for public health emergencies in megacities. Design/methodology/approach Using Guangzhou City as the research object, seven alternative facility points and the points' capacities were preset. Nine demand points were determined, and two facility locations were selected using genetic algorithms (GAs) in MATLAB for programing simulation and operational analysis. Findings Comparing the results of the improved GA, the results show that the improved model has fewer evolutionary generations and a faster operation speed, and that the model outperforms the traditional P-center model. The GA provides a theoretical foundation for determining the construction location of emergency medical facilities in megacities in the event of a public health emergency. Research limitations/implications First, in this case study, there is no scientific assessment of the establishment of the capacity of the facility point, but that is a subjective method based on the assumption of the capacity of the surrounding existing hospitals. Second, because this is a theoretical analysis, the model developed in this study does not consider the actual driving speed and driving distance, but the speed of the unified average driving distance and the driving distance to take the average of multiple distances. Practical implications The results show that the method increases the selection space of decision-makers, provides them with stable technical support, helps them quickly determine the location of emergency medical facilities to respond to disaster relief work and provides better action plans for decision makers. Social implications The results show that the algorithm performs well, which verifies the applicability of this model. When the solution results of the improved GA are compared, the results show that the improved model has fewer evolutionary generations, faster operation speed and better model than the intermediate model GA. This model can more successfully find the optimal location decision scheme, making that more suitable for the location problem of megacities in the case of public health emergencies. Originality/value The research findings provide a theoretical and decision-making basis for the location of government emergency medical facilities, as well as guidance for enterprises constructing emergency medical facilities.
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COVID-19 is spread mainly through respiratory droplets. With the development of COVID-19 worldwide, international airports are facing unprecedented imported risks, becoming the forefront of overseas epidemic prevention. The transmission mechanism of the disease is easy to implement due to the general human susceptibility. Despite the ongoing development of COVID-19 vaccines, the public health community still needs to establish nonpharmaceutical interventions to mitigate the spread of COVID-19 in the population, especially among individuals in close contact with confirmed cases. Since the outbreak of COVID-19, relevant authorities in China have taken active prevention and control measures, strictly tracked down and isolated those involved, and effectively contained the spread of the epidemic. Medical workers have played an important role in epidemic prevention and control. Medical workers are putting their lives and health at risk because of a lack of knowledge about COVID-19. This review summarizes the work of preventing cross-infection in the transport of high-risk groups by ambulance in primary hospitals in Jiangsu province during the COVID-19 outbreak. Through standardized management, the cross infection caused by ambulance has been effectively prevented. Therefore, during the COVID-19 outbreak, establishing a safe disinfection management system, strengthening the disinfection management of ambulance transport, and training personnel in personal protection, work requirements and emergency response skills can effectively prevent the spread of the COVID-19. © 2022 Journal of Innovation Management. All rights reserved.
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Real-time data processing refers to the process by which the computer collects and processes field data in the actual time when it occurs. At present, there are many drawbacks to the traditional real-time data processing model. For example, developing a real-time processing model requires developers have high technical skills. And the model deployment and task monitoring are very inconvenient. Spark Streaming is currently the most popular real-computing framework. It has good scalability, high throughput, and fault tolerance mechanism.According to the characteristics of epidemic diffusion, this paper designs an epidemic real-time monitoring model based on the Spark Streaming algorithm and develops a visual and interactive real-time epidemic monitoring system for the novel coronavirus pneumonia (COVID-19) epidemic in a timely and effective manner. At last, a epidemic diffusion system is developed and the COVID-19 epidemic diffusion can be simulated as a graphic interface. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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[Figure: see text].
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BACKGROUND: Recent studies have focused on initial clinical and epidemiological characteristics of the coronavirus disease 2019 (COVID-19), which is the mainly revealing situation in Wuhan, Hubei. AIM: This study aims to reveal more data on the epidemiological and clinical characteristics of COVID-19 patients outside of Wuhan, Zhejiang, China. DESIGN: This study was a retrospective case series. METHODS: Eighty-eight cases of laboratory-confirmed and three cases of clinically confirmed COVID-19 were admitted to five hospitals in Zhejiang province, China. Data were collected from 20 January 2020 to 11 February 2020. RESULTS AND DISCUSSION: Of all 91 patients, 88 (96.70%) were laboratory-confirmed COVID-19 with throat swab samples that tested positive for SARS-Cov-2, three (3.30%) cases were clinically diagnosed. The median age of the patients was 50 (36.5-57) years, and female accounted for 59.34%. In this sample, 40 (43.96%) patients had contracted the disease from local cases, 31 (34.07%) patients had been to Wuhan/Hubei, eight (8.79%) patients had contacted with people from Wuhan, and 11 (12.09%) patients were diagnosed after having flown together in the same flight with no passenger that could later be identified as the source of infection. In particular within the city of Ningbo, 60.52% cases can be traced back to an event held in a temple. The most common symptoms were fever (71.43%), cough (60.44%) and fatigue (43.96%). The median of incubation period was 6 (interquartile range 3-8) days and the median time from the first visit to a doctor to the confirmed diagnosis was 1 (1-2) days. According to the chest computed tomography scans, 67.03% cases had bilateral pneumonia. CONCLUSIONS: Social activity cluster, family cluster and flying alongside with persons already infected with COVID-19 were how people got infected with COVID-19 in Zhejiang.