In December 2019, the city of Wuhan in Hubei province became the centre of a pneumonia outbreak of a novel coronavirus (CoV), with global implications. The new coronavirus is the seventh known strains of human coronaviruses. Two of the other six are coronaviruses occurred in previous outbreaks with severe acute respiratory syndrome (SARS) (2002-2003) and Middle East respiratory syndrome (MERS) (2012 to 2019[ongoing surveillance]). Since the discovery of 2019-nCoV, scholars over the world have made lots of research on coronavirus. Based on the methods of bibliometrics and content analysis, this article reveals the trends of research on coronavirus and analyzes the most focused topics of the studies. The paper is aimed to provide a reference for scholars in disease prevention and spread control.

At present, under the firm leadership of the Party Central Committee, the whole nation is fighting against the outbreak of the new coronavirus pneumonia (NCP). This is an serious infectious disease with many new clinical and epidemiological characteristics caused by a coronavirus that has never been found in humans before. For the sake of fighting the epidemic, urgent need for emergency research exists for virus characteristics, pathogenesis, transmission, clinical diagnosis and treatment, scientific prevention and control of NCP. This paper makes a summary of the current domestic and foreign literature on novel coronavirus pneumonia for you to quickly understand this new disease,In order to provide reference for further study of the disease.

The comprehensive risk assessment of COVID-19 is a key approach to the comprehensive epidemic risk management while the assessment method is the key to the epidemic risk assessment. This paper uses the public security "triangular model" and considers the three factors, i.e., the incident(the hazard of the virus itself), the vulnerability of hazard-affected carriers(the vulnerability of vulnerable groups), and the effectiveness of emergency management to establish a multidimensional risk assessment method, which can help to provide effective method for the next epidemic response and plans of resource allocation. According to the assessment results, the top five provinces with highest comprehensive risk are respectively Hubei, Shanghai, Hong Kong, Beijing and Guangdong. Within Hubei province, the top four cities are Wuhan, E'zhou, Xiaogan and Huanggang.

The medical and health facilities are important infrastructure for improving people's livelihood and protecting people's health. The relationship between supply and demand of medical and health facilities in China needs to be reexamined in the epidemic situation of the COVID-19. Based on the statistics of the medical and health facilities in 2018, this paper selects the number of medical and health facilities per capita, the number of beds per medical and health facilities per capita, and the number of medical and health personnel per capita to make a comparison. This paper analyzes the regional distribution of medical and health facilities, the difference between urban and rural areas, and the difference between public and private medical and health facilities in China, and compares them with other countries. In view of the realistic problems of hospitals fighting against COVID-19 in Wuhan, the following suggestions are made:strengthening the medical and health facilities of provinces in South China, increasing the investment in primary health care facilities and medical stuff, guiding private medical institutions to participate in the management of public health emergencies, and reserving emergency sites for public health emergencies in hospital planning.

In the major epidemic prevention & control work on the novel coronavirus pneumonia (COVID-19), the intelligent unmanned systems play a great role. In the epidemic monitoring stage, we have the unmanned aircraft systems (UAS) for high altitude monitoring, the robots for epidemic prevention publicity and for elimination of virus by dispersing drugs, and the intelligent infrared system for measuring the temperature, which work effectively, providing a powerful technical means for epidemic prevention & control. In the stage of prevention and treatment, the 5G remote consultation platform, the diagnosis and treatment robots, and the movable negative pressure isolation cabin effectively work for the problems of infection risk caused by the direct contact treatment and for the safety of the front-line medical staff. In terms of the material support, the intelligent production system and the UAS play a key role in the medical and life necessity production and deployment, to greatly improve the efficiency of the supply part. We should focus on these three stages and establish an unmanned system for epidemic prevention & control.

The human coronaviruses were isolated for the first time in the 1960s. The human coronaviruses OC43 and 229E were found as early as in 1966 and in 1967, but it was not until the SARS broke out in the world in 2003 that the coronaviruses came to a wide concern. This paper reviews the characteristics of the human coronavirus infection and the relationship with ocular diseases. It is hoped that ophthalmologists may help to screen the cases.

By 18:00 on February 16, 2020, the cumulative number of confirmed cases caused by COVID-19 epidemic in China has reached 68,592. The epidemic control work is at a critical period. However, the proliferation of the pseudo-science Internet rumors during the COVID-19 epidemic cause widespread adverse social events, such as the blind rush purchases and hoarding, which seriously affect the epidemic control and the normal social order. Taking the COVID-19 epidemic as an example, this paper reviews the definitions of the pseudo-science and Internet rumors proposed by domestic and foreign scholars. Four major pseudo-science Internet rumors that have had a greater impact in this epidemic, and the data on Sina Weibo(microblog) are used as examples to analyze the spread characteristics of the pseudo-science Internet rumors. Based on the SEIR model, this paper comprehensively analyzes factors such as the lag of official intervention, the bandwagon effect of individual information acceptance, and the spread characteristics of rumors, and the mechanism of the pseudo-science Internet rumors in major public health emergencies through numerical experiments. Finally, this paper proposes countermeasures for the pseudo-science Internet rumors in major public healthy emergencies from various angles.

2020年的春节必然是难忘的，因为在这个中国人民最期待的节日，新型冠状病毒打破了人们所有的期待。它在蓝天下猖狂，它在空气中肆虐，它给所有人的快乐笼罩上阴影。为此，数以万计的医护工作者主动请缨奔赴抗“疫”前线，无数志愿者们也“逆行而上”为工作在前线的医务人员提供最有力的后援，所有无法“逆行”的人们居家隔离以避免病毒交叉传播，所有人齐心协力，共战“疫”情。但是，任何一场战役都会有困难，我们正经历的这场战“疫”也不例外，例如防护物资的紧缺、难以确认的传染源和传染途径、不断增加的感染人数以及在这场突发危机之下产生的应激情绪。值得欣慰的是，物资在加紧配送、科学难题也正一个个被攻破。目前，要确保这场战“疫”胜利的另一关键因素便是加强心理防护。无论是居家隔离的群众、主动请缨加入战“疫”的志愿者，还是奋斗在前线的白衣战士，在保护自身不被病毒感染的同时，也需要关注自己和家人的心理健康，确保能够身心健康地与疫情抗争到底。面对突如其来的疫情时有应激情绪是正常的，可通过以下方式进行自我调节。

In order to evaluate the emotional state and the social mentality of the Chinese public during the 2019 novel coronavirus (2019-nCoV) pneumonia pandemic, the data of two online public surveys conducted on February 18-20 and 21-22 are analyzed. The results show that nearly 1/3 of the respondents have some degree of depression symptoms, and 22.4% have significant anxiety symptoms. The current level of depression is higher than in the 2008 national survey. Among various occupational groups, the anxiety and the depression are significantly higher among the unemployed, and the mental health state of private enterprises, self-employed and entrepreneurs is in a relatively low level. In terms of social mentality, the public are in different psychological stages, some of them are prone to be depressive and angry. The public tend to be more altruistic under pressure, especially toward medical workers. According to the survey results, the current mental health is a very important issue to work upon, in the current epidemic it is necessary to persistently strengthen the public mental health publicity and the psychological counseling, to deal with the mental health problems after the epidemic, to strengthen the construction of the social psychological service system, and to improve the public mental health literacy in the future.

The prevention and the control of the coronavirus disease (COVID-19) highlight the urgency of improving the national public health emergency management system. In the construction of an emergency management system, the development of the public psychological service system is crucial. This paper reviews the development stages, the operation mechanism, the professional contingent, and the professional support platform in the emergency management system in the U.S, including its main experience and the existing problems. In view of China's state of the public psychological services, some suggestions are made for the emergency psychological service system construction in China, which involve the following four aspects:the information system of the emergency psychological services, a classified psychological service team, the research directions of psychological services for the emergency management, and the legal system of the emergency psychological services.

In early 2020, the COVID-19 spread to all parts of China and even other countries in a short period of time. The severe epidemic situation would put a psychological pressure on the public, resulting in anxiety, panic and other emotions, even some irrational behavior such as scare buying and becoming credulous of rumors. The risk preference is defined as the degree of the risk that people are willing to accept in their decisions and behaviors. In this public health emergency, the consumers' purchase and use of sanitary and epidemic prevention products reflects their risk preference. This paper explores the relationship between the public risk preference and the purchase behavior through a questionnaire survey, and it is found that the factors influencing the purchase behavior mainly include the gender factors, the perceived risk level and the severity of the epidemic situation in the residence area, as indicated by the Association Rule Mining.