Objective To explore theresearch progress of the computer aided drug discovery for SARS-CoV-2 drugs. Methods Comprehensively searching internetresour-ces including news report,research papers in scientific journals and academic preprint websites. Results Since the outbreak of COVID-19, researchers in China and all over the world rapidly start to search drugs for anti-SARS-CoV-2and some progresses were made. This paper reviewed the progress of computer aided discovery of SARS-CoV-2 drugs. Conclusions Both docking and bioinformatics based methods had achievements and a number of candidate drugs have been identified, but more novel targets should be considered in the future. Key words: Novel coronavirus; SARS-CoV-2; Drug discovery

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. Key words: Bibliometric analysis; Novel coronavirus pneumonia; Epidemiology

Objective The purpose of this review of COVID-19 related research is to deepen our understanding of SARS-CoV-2, which would be inspire new ideas for targeted drug development and vaccine design, and further empower the prevention and control COVID-19. Methods Through literature research and data analysis, we explored the process and mechanism of epitranscriptomics modification to regulate the replication and infectivity of COVID-19. Results Provide important ideas and technical support for the prevention and control of SARS-CoV-2 infections and emerging epidemic diseases. Conclusions Taking the new research direction of epitranscriptomics as the starting point, it is expected to open up new scientific research concepts and paradigms. Key words: COVID-19; SARS-CoV-2; RNA modifications; Targeted drugs; Novel vaccines

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. Key words: COVID-19; Epidemiology; Mathematical model; Statistical model; Analysis and decision-making

Objective Conduct comprehensive analysis of the regulatory requirement of ethical review regarding to the response of public health emergency, illustrate particular ethical review and ethical administration strategies for COVID-19 Emergency Research. Methods Theoretical discussion, case study and interpretation of international guidelines were adopted to explore challenges and possible best practices for ethical review of such research. Results The ethical review of COVID-19 emergency research should comply with regulatory requirement in general, combined with contextual background. Conclusions The ethical review approval criteria of COVID-19 emergency research should take into full consideration of its urgency to make sure efficient and high quality initial review, meanwhile, more attention should be paid on continuing ethical review and ethical consultation during the whole life-circle of COVID-19 Emergency Research. Key words: COVID-19 Emergency Research; Ethical review; Approval criteria; Ethical management

Objective To explore ways and methods for public mental health intervention during the COVID-19 epidemic. Methods A 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. Results Firstly, 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. Conclusions Mental health intervention is effective when it is provided according to the type of service clients during the COVID-19 epidemic. Key words: COVID-19; Epidemic; Mental health; Intervention

Objective The 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. Methods By 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. Results During 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. Conclusions The 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. Key words: Medical research lab; Medical research postgraduate students; Lab management; COVID-19

Objective The 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. Methods This article explores the typical CT imaging findings, imaging staging, imaging diagnosis process and differential diagnosis of the COVID-19. Results With the emergence of the classification of diagnostic 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. Conclusions HRCT 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. Key words: HRCT; COVID-19; Imaging diagnostic cases; Clinical diagnostic cases

Objective To 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. Methods Taking 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. Results In 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. Conclusions In 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. Key words: COVID-19; Infectious disease prevention and control; Regional

Objective The 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. Methods In 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. Results This 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. Conclusions The 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. Key words: Epidemic prevention and control; Privacy protection; Block chain; Artificial intelligence; Decision Support