中华医学科研管理杂志最新文献

{"title":"Perspectives on the personnel management in the medical research laboratory during the national prevention of COVID-19 outbreak","authors":"Li Yang, Ran You","doi":"10.3760/CMA.J.CN113565-20200224-00017","DOIUrl":"https://doi.org/10.3760/CMA.J.CN113565-20200224-00017","url":null,"abstract":"Objective \u0000The domestic and global spread of COVID-19 raised severe challenges to the management of the medical research labs, as well as postgraduate students. To deal with this challenge, we should make thorough and careful adjustment in the management to effectively prevent the spread of COVID-19 at workplace while at the same time, make sure the research work also performed well. \u0000 \u0000 \u0000Methods \u0000By using literature review, comprehensive comparison analysis and summarization, we discussed the characteristics, urgency and importance of effective management of the research work and postgraduate students for the prevention of COVID-19 in the medical laboratory. After analyzing the challenges and difficulties facing the threat of COVID-19, a targeted strategy for the personnel management in the medical laboratory was proposed. \u0000 \u0000 \u0000Results \u0000During the outbreak of COVID-19, the management of a medical laboratory needs to be more rigorous and standardized. We should also consolidate the laboratory safety training, especially the personal prevention against COVID-19. Information technology-based approaches should be applied to popularize the information and increase communication. \u0000 \u0000 \u0000Conclusions \u0000The perspective and approach suggested in this paper will not only help to strengthen and improve the management of medical research lab and postgraduate students during the outbreak of COVID-19, but also will provide reference for other lab managers in future possible emergency situations. \u0000 \u0000 \u0000Key words: \u0000Medical research lab; Medical research postgraduate students; Lab management; COVID-19","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48593519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategies of mental health intervention during the COVID-19 epidemic","authors":"Siwei Sun, T. Zhou, W. Dang, Zhangmuge Cheng, B. Zhong, Wentian Li","doi":"10.3760/CMA.J.CN113565-20200214-00015","DOIUrl":"https://doi.org/10.3760/CMA.J.CN113565-20200214-00015","url":null,"abstract":"Objective \u0000To explore ways and methods for public mental health intervention during the COVID-19 epidemic. \u0000 \u0000 \u0000Methods \u0000A comprehensive literature review was conducted. Mental healthcare publicity materials posted by over 100 Chinese hospitals in multiple media (till February 24, 2020) were also systematically collected and analyzed. \u0000 \u0000 \u0000Results \u0000Firstly, anxiety and fear were the most common mental health problems among people during the epidemic. Secondly, to achieve better outcomes, mental health intervention should be provided according to the type of service clients. Thirdly, new media can facilitate the transmission of mental healthcare knowledge, but the limitation is that it can not approach older adults who have limited access to new media. It is therefore essential to strengthen the mental health knowledge transmission to older adults. \u0000 \u0000 \u0000Conclusions \u0000Mental health intervention is effective when it is provided according to the type of service clients during the COVID-19 epidemic. \u0000 \u0000 \u0000Key words: \u0000COVID-19; Epidemic; Mental health; Intervention","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43891427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of HRCT in the diagnosis of COVID-19","authors":"Yingting Zeng, Lu Song, Xiaochun Zhang","doi":"10.3760/CMA.J.CN113565-20200214-00011","DOIUrl":"https://doi.org/10.3760/CMA.J.CN113565-20200214-00011","url":null,"abstract":"Objective \u0000The outbreak of COVID-19 in China has spread rapidly across the country since December 2019, the population is generally susceptible, and human-to-human transmission has gradually spread out. This article explores the value of HRCT in the diagnosis of COVID-19. \u0000 \u0000 \u0000Methods \u0000This article explores the typical CT imaging findings, imaging staging, imaging diagnosis process and differential diagnosis of the COVID-19. \u0000 \u0000 \u0000Results \u0000With the emergence of the classification of \"clinical diagnostic cases\" in Hubei Province, imaging examinations, especially HRCT, play important roles in the diagnosis of COVID-19. HRCT is helpful for early screening of suspected cases and monitoring the dynamic changes of the disease. \u0000 \u0000 \u0000Conclusions \u0000HRCT will make up for missed diagnosis caused by the false negative of the viral nucleic acid detection, and empower the clinical diagnosis and treatment of Novel Coronavirus Pneumonia with more scientificity and effectivity. \u0000 \u0000 \u0000Key words: \u0000HRCT; COVID-19; Imaging diagnostic cases; Clinical diagnostic cases","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45367407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and preliminary application of regional control and prevention auxiliary information system under the attack of COVID-19 infectious disease/ 中华医学科研管理杂志","authors":"Hongbin Han, Yumeng Cheng, Mo Yang, Zeqing Tang, Hui Wang, Shuya Yang, Q. Ma, Daidai Wang, Y. Bai, Qingyuan He, Kai Guo, Huipo Liu, Xiaoqi Xue, Fangxiao Cheng, Xiang Li, Junfu Ma","doi":"10.3760/CMA.J.CN113565-20200214-00002","DOIUrl":"https://doi.org/10.3760/CMA.J.CN113565-20200214-00002","url":null,"abstract":"Objective \u0000To propose the concept of a novel regional control and prevention (RCP) system for the outbreak of COVID-19 infectious disease, design an emergency epidemic prevention information system based on the existing network architecture and information system in the region, and a remote intelligent medical consultation and remote office platform, research and develop the technology of risk assessment and early warning for people in the region, and improve the regions’prevention and control ability facing emergency of major infectious diseases. \u0000 \u0000 \u0000Methods \u0000Taking colleges, affiliated (teaching) hospitals, and cloud applications as typical RCP regional units, the existing local area network interaction methods between the cloud and universities and affiliated (teaching) hospitals are established to realize remote work in the network environment, remote medical imaging, psychological and ethical consultation and interaction; applying multi-agent propagation model based on complex network, combining Global Positioning System (GPS), Radio Frequency Identification (RFID), and electronic fence technology, to realize the risk classification and early warning of units and personnel in the area. \u0000 \u0000 \u0000Results \u0000In the RCP, a system architecture combining campus network, affiliated (teaching) hospital intranet, and the Internet is used. Dynamic connection is made using distributed technology and cloud storage. The data buffer mechanism of the intermediary database in the network realized telemedicine consultation and telecommuting. Relying on the platform, multi-agent propagation model based on complex network and cellular automaton model are used to realize the score and early warning of population exposure risk in the region by using GPS, RFID and electronic fence technology. \u0000 \u0000 \u0000Conclusions \u0000In the epidemic phase of major infectious diseases, the construction of RCP can improve the response speed of wartime epidemic prevention, provide reasonable data-based warnings and risk ratings, and reduce the exposure risk of susceptible people. The design and development of RCP is a systematic project that needs to combine regional structural and functional characteristics, and the foundation of the early informatization work in the region and the level of the emergency development team determine the development progress, maintenance, and actual application effects. It is recommended to establish a peacetime and wartime combined RCP mode and incorporate it into the government's disease control system to improve the national and regional level of prevention and control of major infectious diseases. \u0000 \u0000 \u0000Key words: \u0000COVID-19; Infectious disease prevention and control; Regional","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46004501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Review on the study of spreading of the COVID-19 based on dynamic models/ 中华医学科研管理杂志","authors":"Yunjun Zhang, Y. Zhang, Chong You, Xiaohua Zhou","doi":"10.3760/CMA.J.CN113565-20200214-00007","DOIUrl":"https://doi.org/10.3760/CMA.J.CN113565-20200214-00007","url":null,"abstract":"Objective@#To Summarize mathematical and statistical models used in the area of infectious diseases modelling, to provide ideas and suggestions for the model-based analysis and decision-making of COVID-19.@*Methods@#By reviewing the commonly used mathematical and statistical models in the analysis of infectious diseases, with a focus on the mathematical models of the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) that have been published and their practical effects.@*Results@#Infectious diseases modelling based on multi-source information has become the main research trend, and the published mathematical models of COVID-19 epidemic need to be improved in terms of accuracy and scalability.@*Conclusions@#It is recommended to build a more advanced mathematical/statistical model by allowing for the characteristics of new coronaviruses and to use more informative data to improve the analysis and decision-making of the new epidemic.","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44179410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The application of privacy protection and artificial intelligence technology in the information auxiliary system of the prevention and control of COVID-19/ 中华医学科研管理杂志","authors":"Zhiwei Wang, Yuhui Zhang, Jiangfeng Cao, Rui Hou, Jiabin Lu","doi":"10.3760/CMA.J.CN113565-20200216-00014","DOIUrl":"https://doi.org/10.3760/CMA.J.CN113565-20200216-00014","url":null,"abstract":"Objective \u0000The outbreak of novel coronavirus raised many problems in the auxiliary information system of epidemic prevention and control, which including the need to prevent key data from being illegal modification, traceability, lack of decision support systems at different levels, barriers to cross regional cooperation and low automation of case diagnosis. \u0000 \u0000 \u0000Methods \u0000In this paper, artificial intelligence, security computing supporting privacy protection, block chain and other emerging technologies are introduced into the epidemic prevention and control auxiliary information system. \u0000 \u0000 \u0000Results \u0000This paper discusses how to utilize modern cryptography and block chain technology to establish a traceability system that could assure the security of epidemic information; design a distributed decision support system; solve the privacy-preserving problems of Federated Learning based on SGX technology, and present a group architecture to alleviate the performance cost of SGX. \u0000 \u0000 \u0000Conclusions \u0000The schemes above can help to achieve the security and traceability of epidemic information, also improve the automation and decision-making efficiency of the auxiliary information system for epidemic prevention and control. \u0000 \u0000 \u0000Key words: \u0000Epidemic prevention and control; Privacy protection; Block chain; Artificial intelligence; Decision Support","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46536900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preliminary study on exploring the trajectory of patients with COVID-19 by Data mining algorithms","authors":"Shuliang Chen, Ce Zhang, P. Ren","doi":"10.3760/CMA.J.CN113565-20200212-00013","DOIUrl":"https://doi.org/10.3760/CMA.J.CN113565-20200212-00013","url":null,"abstract":"Objective \u0000To explore data mining methods and tools for the activity paths of confirmed patients, and provide data analysis tools for epidemic control. \u0000 \u0000 \u0000Methods \u0000The data used came from the trajectory data of confirmed cases collected by Tencent. The jieba word segmentation and word cloud map function of Python 3.6 were used to calculate the high-frequency vocabulary in the trajectory of confirmed patients. The epidemic prevention and control strategy was developed based on the high-frequency vocabulary. \u0000 \u0000 \u0000Results \u0000Taking Guangdong Province, the second most confirmed patients in the country, as an example, the key areas of epidemic control obtained through data mining involve Wuhan (epidemiological history), Zhuhai and Guangzhou. The key control activities include family visiting, traveling and shopping. Means of transportation include self-driving, trains and airplanes; the key patients studied were Li and Ding; the symptoms of this patient group were mainly fever and cough. \u0000 \u0000 \u0000Conclusions \u0000The data mining algorithm in this paper can provide an advantageous tool for epidemic prevention and control, also assist frontline personnel to adjust the deployment of epidemic prevention and control according to their priorities. \u0000 \u0000 \u0000Key words: \u0000COVID-19; Epidemic prevention and control; Data mining; Python","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41833529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A preliminary study on establishment of AI-assisted remote imaging diagnosis system for major infectious diseases/ 中华医学科研管理杂志","authors":"Qingyuan He, Yue Gao, Bin Cui, Hongbin Han","doi":"10.3760/CMA.J.CN113565-20200214-00012","DOIUrl":"https://doi.org/10.3760/CMA.J.CN113565-20200214-00012","url":null,"abstract":"Objective \u0000In response to the outbreak of severe infectious diseases such as new coronavirus pneumonia, an artificial intelligence based image diagnosis system is established to improve the efficiency of disease diagnosis, reduce the burden of front-line doctors, and improve the medical resource allocation. \u0000 \u0000 \u0000Methods \u0000Using the deep convolution neural network and regional prevention and control auxiliary information system, the image data and other information of the confirmed patients were analyzed and processed comprehensively. \u0000 \u0000 \u0000Results \u0000A set of AI based medical image auxiliary data processing system is proposed. Combined with multimodal medical data collaborative diagnosis, it can effectively and accurately segment the diseased areas in patients' lung CT images, and generate standardized reports. Relying on the multi-center collaborative diagnosis and treatment platform, the system can introduce multi-expert remote consultation mechanism to improve the diagnosis quality of severe patients. \u0000 \u0000 \u0000Conclusions \u0000By segmenting pathological regions, generating standardized reports and introducing multicenter mechanism, the system can help to optimize the medical resources allocation and improve the utilization of these resources. \u0000 \u0000 \u0000Key words: \u0000COVID-19; AI; Image diagnosis; Collaborative diagnosis","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48125205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategies of strengthening the supporting role of science and technology in public health emergency: A case study on the COVID-19/ 中华医学科研管理杂志","authors":"Jun-le Du, Ni Li, Zhihua Liu","doi":"10.3760/CMA.J.CN113565-20200214-00001","DOIUrl":"https://doi.org/10.3760/CMA.J.CN113565-20200214-00001","url":null,"abstract":"Objective \u0000The research was aimed to discuss the role of science and technology research in the public health emergency response, and to provide theoretical support for building Healthy China, implementing the National Strategy of Innovation-Driven Development. \u0000 \u0000 \u0000Methods \u0000Take COVID-19 as an example, to sum up the characteristics and the function of science and technology research in the public health emergency prevention and control system. \u0000 \u0000 \u0000Results \u0000In order to make the scientific and technological research as the supporting system in public health emergency, we need to strengthen the basic research, to improve the research and development for controlling product with the independent intellectual property, to optimize the training system and evaluating system in public health technology, to deepen the international collaboration and to popularize the basic scientific knowledge. \u0000 \u0000 \u0000Conclusions \u0000Through systematically arrangement for disease controlling and prevention, for the industrial supporting, for the health improvement, for the talent training system and for the cooperation and the communication, we need to fasten the technological innovation for better preparation and responding to public health emergencies. \u0000 \u0000 \u0000Key words: \u0000COVID-19; Public health emergency; Science and technology research","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45778486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometric analysis of PubMed literature on Coronavirus Disease 2019/ 中华医学科研管理杂志","authors":"L. Tao, Qianyang Ni, Jue Liu, Min Liu","doi":"10.3760/CMA.J.CN113565-20200216-00004","DOIUrl":"https://doi.org/10.3760/CMA.J.CN113565-20200216-00004","url":null,"abstract":"Objective@#To systematically analyze the distribution of research hotspots related to the COVID, provide reference for future scientific research.@*Methods@#Relevant literatures collected by PubMed database since December 1, 2019 were retrieved, the key information related to literatures was extracted and analyzed, and the wordcloud2 package of R software was used for word frequency analysis.@*Results@#A total number of 194 valid papers were obtained, which published in 81 journals. Most papers was published in early February 2020, and a maximum of 24 papers were published in a single day. 167 papers (86.08%) were written in English. These papers included case reports, expert opinions, guidelines, articles, reviews, communications and other forms, and the subjects included epidemiology, prevention and control, virology, diagnosis and treatment, pathology and etiology, vaccines and drugs, epidemic prediction models, and bioinformatics analysis. The proportion of article in English literatures was higher than that in Chinese literatures (P=0.005). Among them, 91 papers (46.9%) were independently completed by the Chinese researchers, 15 papers (7.7%) were completed by the Chinese and foreign researchers, and 88 papers (45.4%) were completed by foreign researchers.@*Conclusions@#At present, the researches on the new coronavirus pneumonia mainly focus on virology and epidemiology, but lack of relevant research results such as treatment and prognosis.","PeriodicalId":59555,"journal":{"name":"中华医学科研管理杂志","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44963211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}