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AbstractSerious game can potentially improve social awareness and health literacy related to the epidemic, where interactivity, such as strategic game elements, could play a crucial role in increasing learning engagement and motivation. In this paper, we present the user study of InfecBlock, a tower-defense game designed to facilitate individual users to acquire public health knowledge related to coronavirus disease and epidemic prevention. We employed a between-subject experiment design and collected a variety of quantitative data to examine players’ learning outcomes, engagement, and emotional responses. Our results confirmed the effectiveness of InfecBlock in improving learning performance and highlighted its potential to facilitate a more engaged and enjoyable learning experience. We discussed a set of implications for designing tower-defense serious games for supporting the improvements of public health literacy. [ABSTRACT FROM AUTHOR]

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Language is the most important way of information transmission for human beings, through which people exchange ideas and guide practice. But the semantic expression has uncertainty, which usually brings difficulties to human's decision-making behaviors in routine life. Hence, exploring methods to effectively handle the uncertain cognitive information has been an enduring research topic in recent years. Nested probabilistic linguistic term set (NPLTS) and ELECTRE II, as a powerful linguistic model and a classical decision-making method respectively, provide us useful tools. But the extant studies have some noticeable defects. Thus, this work proposes an enhanced decision-making framework in nested probabilistic linguistic environments. We refine the comparison method of NPLTSs by using a novel calculation method of the performance score and confusion degree. And we propose a new distance measurement method based on a symmetric linguistic scale. Considering the objective and subjective weights of criteria, we establish an entropy-based model to calculate the comprehensive weights of criteria. Then, we refine the classical ELECTRE II method. Based on which, we develop an enhanced ELECTRE II framework. The proposed model successfully addresses the potential failure of the classical ELECTRE II method. Based on comparisons with other methods, the alternative ranking changes in response to the fluctuation of criteria weights while maintaining rationality. Thus, it is proved that the proposed model is of excellent effectiveness, good reliability, and appropriate sensitivity. [ABSTRACT FROM AUTHOR]

AbstractThe global pandemic caused by COVID-19 has brought about severe adverse impacts on university campuses worldwide. Some universities have started using virtual reality (VR) technology to design a virtual environment (VE) for effective infection prevention on campuses. VR is an innovative interactive technology in improving various virtual simulation fields. The utilization of VR technology’s computational design and engineering features facilitates seamless implementation of epidemic prevention education. This positively impacts students’ engagement and comprehension levels. The research aims to use VR technology to design a VE for campus epidemic prevention. The immersive interaction can attract the staff/students to explore and learn, bringing convenience to campus epidemic prevention. The novelty of the study is the design of a virtual learning platform for campus epidemic prevention practices. The platform includes several scenes: school gates, classrooms, food courts, and school-based health centers. The study carried out a user testing experiment involving 30 students to assess the effectiveness of epidemic prevention education. The study results show that the virtual tour can enhance the user experience without physical space restrictions. The study further suggests that the virtual learning platform proposed in the study will assist universities in improving campus infection prevention practices. [ABSTRACT FROM AUTHOR]

Outbreaks of infectious diseases pose significant threats to human life, and countries around the world need to implement more precise prevention and control measures to contain the spread of viruses. In this study, we propose a spatial-temporal diffusion model of infectious diseases under a discrete grid, based on the time series prediction of infectious diseases, to model the diffusion process of viruses in population. This model uses the estimated outbreak origin as the center of transmission, employing a tree-like structure of daily human travel to generalize the process of viral spread within the population. By incorporating diverse data, it simulates the congregation of people, thus quantifying the flow weights between grids for population movement. The model is validated with some Chinese cities with COVID-19 outbreaks, and the results show that the outbreak point estimation method could better estimate the virus transmission center of the epidemic. The estimated location of the outbreak point in Xi'an was only 0.965 km different from the actual one, and the results were more satisfactory. The spatiotemporal diffusion model for infectious diseases simulates daily newly infected areas, which effectively cover the actual patient infection zones on the same day. During the mid-stage of viral transmission, the coverage rate can increase to over 90%, compared to related research, this method has improved simulation accuracy by approximately 18%. This study can provide technical support for epidemic prevention and control, and assist decision-makers in developing more scientific and efficient epidemic prevention and control policies.

The safety of beef and its products can only be ensured by scientifically slaughtered following the procedures under the supervision of animal health supervision departments. Before slaughter, sale and transportation, live cattle must undergo quarantine inspections at the local animal health supervision department. After slaughter, meat products should also be sampled for testing heavy metals, veterinary drugs, prohibited drugs, and pathogens to ensure the safe distribution of beef in the consumer market. Currently, there are several factors affecting animal health supervision in China, including ethnic and religious customs, the geographical location of cattle farms, cattle raising methods, the legal concepts of employees, and the business models of consumer terminals. Local functional departments can only effectively supervise and manage by considering the local context and addressing multiple aspects of the industry chain, thereby minimizing the risk of diseases and ensuring the effective safeguarding of beef food safety. [ABSTRACT FROM AUTHOR]

To investigate the relationship among post-traumatic stress disorder (PTSD), posttraumatic growth (PTG), social support, and coping style of university student volunteers in the prevention and control of the coronavirus in 2020, a total of 2,990 university student volunteers (students who are enrolled in a university and involved in volunteer activities) from 20 universities in Sichuan Province participated in the prevention and control of the epidemic were investigated when March 20–31, 2020 when the coronavirus first occurred using the posttraumatic stress disorder questionnaire, posttraumatic growth questionnaire, university student social support questionnaire and coping style questionnaire. The results showed that (1) 7.06% of university student volunteers had some degree of PTSD symptoms (the total PCL-C score was 38–49), and 2.88% had obvious PTSD symptoms, (2) PTSD level of university student volunteers was significantly positively correlated with negative coping style, and significantly negatively correlated with social support and positive coping style; on the contrary, the PTG level is significantly positively correlated with social support and positive coping styles, and (3) Positive coping style plays a partial mediating role in the influence of social support on PTG; in the influence of social support on PTSD, the mediating effect of positive or negative coping style was not significant. These results show that in the prevention and control of the coronavirus, the positive coping style and social support of university student volunteers can positively predict the PTG level of them, while the negative coping style can positively predict the severity of their PTSD symptoms. Among them, a positive coping style plays a partial mediating role in the influence of social support on the PTG level. [ABSTRACT FROM AUTHOR]

Face masks are recommended to reduce the transmission of many viruses, especially SARS-CoV-2. Therefore, the automatic detection of whether there is a mask on the face, what type of mask is worn, and how it is worn is an important research topic. In this work, the use of thermal imaging was considered to analyze the possibility of detecting (localizing) a mask on the face, as well as to check whether it is possible to classify the type of mask on the face. The previously proposed dataset of thermal images was extended and annotated with the description of a type of mask and a location of a mask within a face. Different deep learning models were adapted. The best model for face mask detection turned out to be the Yolov5 model in the “nano” version, reaching mAP higher than 97% and precision of about 95%. High accuracy was also obtained for mask type classification. The best results were obtained for the convolutional neural network model built on an autoencoder initially trained in the thermal image reconstruction problem. The pretrained encoder was used to train a classifier which achieved an accuracy of 91%.

Rabies prevention has become a vital part of public health administration owing to the high incidence of rabies in Japan in modern times. The rabies prevention system in Japan, which was gradually established based on the rabies knowledge and prevention policies from Europe and the United States, was centered on livestock dog control, wild dog culling, and vaccination. This epidemic prevention system was based on two premises. First, though rabies is a zoonotic infectious disease, the focus of epidemic prevention administration was to protect humans, not dogs. Second, this system attempted to eliminate the rabies hazard at its source by reducing the number of all dogs—livestock dogs included. Under this epidemic prevention mechanism, the survival space of dogs as an object of public health administration was significantly eroded. In contrast, during wartime, the Japanese Empire encouraged people to donate their dogs to the military so their fur could be used to make military coats, and in the name of existing rabies prevention programs, extended the target of culling from wild dogs only to all non-military dogs. This administrative model of epidemic prevention, which attempted to hide the violence and arbitrariness of dog killing by creating artificial distinctions among dogs, is a metaphor for the power training mechanism in modern society.

In response to calls to apply the multiple streams framework to nondemocracies, this article adapts the framework to an authoritarian context and applies it to a case study of live poultry sales in food markets in China, a key issue in epidemic prevention. Using a dataset consisting of Chinese policy documents, Chinese news articles, World Health Organization data, and secondary literature, the study shows that despite the public health threat posed by live poultry sales and despite high‐level political support, a national‐level permanent ban has not been adopted because it is technically infeasible, financially inviable, and inconsistent with existing norms and values. The study suggests that—despite the country's top‐down governance style and lack of political pluralism—policy preferences expressed by members of the policy‐making elite are not necessarily adopted in authoritarian China. Future research should test the proposed hypotheses in other policy areas and other authoritarian contexts. [ABSTRACT FROM AUTHOR]

In intensive aquaculture, the real-time detection and monitoring of common infectious disease is an important basis for scientific fish epidemic prevention strategies that can effectively reduce fish mortality and economic loss. However, low-quality underwater images and low-identification targets present great challenges to diseased fish detection. To overcome these challenges, this paper proposes a diseased fish detection model, using an improved YOLOV5 network for aquaculture (DFYOLO). The specific implementation methods are as follows: (1) the C3 structure is used instead of the CSPNet structure of the YOLOV5 model to facilitate the industrial deployment of the algorithm; (2) all the 3 × 3 convolutional kernels in the backbone network are replaced by a convolutional kernel group consisting of parallel 3 × 3, 1 × 3 and 3 × 1 convolutional kernels; and (3) the convolutional block attention module is added to the YOLOV5 algorithm. Experimental results in a fishing ground showed that the DFYOLO is better than that of the original YOLOV5 network, and the average precision was improved from 94.52% to 99.38% (when the intersection over union is 0.5), for an increase of 4.86%. Therefore, the DFYOLO network can effectively detect diseased fish and is applicable in intensive aquaculture. [ABSTRACT FROM AUTHOR]

During the COVID-19 crisis, the Korean government's restrictions on religious freedom have caused several reactions. These can be divided into two categories: first, as several Christian groups have become the center of controversy over exacerbating the spread of COVID-19, the public sentiment towards religious gatherings has lost favorability. Second, there had been an increase in resistance to Christian groups and their right to worship. Regarding these issues, although the resistance from religious groups has not been as prominent as in the West, it is believed by both Korea and the West that the conflict between state power and religious right is at the root of this problem. This study reviews the Korean government's restrictions on religious activities and the consequent resistance of churches from a legal and institutional angle. In addition, this study compares the Korean approach to that of the United States in terms of governmental measures, the resistance of churches, and judgments issued by the judiciary. After demonstrating stronger restrictions in the case of Korea, this study evaluates this response in terms of legal and religious pluralism, and suggests that more sophisticated legal and institutional supplementation is needed to establish a robust and viable religious governance based on diversity and mutual respect. [ABSTRACT FROM AUTHOR]

Yijin Wu,1 Quan Zhang,2,3 Linzi Li,4 Meiyu Li,5 Ying Zuo2 1School of Translation Studies, Qufu Normal University, Rizhao, Shandong, People’s Republic of China; 2School of International Affairs and Public Administration, Ocean University of China, Qingdao, Shandong, People’s Republic of China; 3Centre for Quality of Life and Public Policy, Shandong University, Qingdao, Shandong, People’s Republic of China; 4Rizhao Maternal and Child Health Hospital, Rizhao, Shandong, People’s Republic of China; 5School of Economics and Management, China University of Petroleum (East China), Qingdao, Shandong, People’s Republic of ChinaCorrespondence: Quan Zhang Email waltawhite@163.comBackground: Cross-infection among residents in communities is one of the most critical reasons for the rapid spread of the COVID-19 epidemic. The COVID-19 epidemic has been well controlled within Chinese communities, which has made important contributions to the country’s fight against it.Methods: In this study, a qualitative case study design, with mixed methods applied to data collection and analysis, was employed to explore epidemic prevention measures taken by a Chinese community, namely Mulin, during the pandemic.Results: The Mulin community established an integrated plan for epidemic prevention, including the prevention of the invasion of COVID-19, the prevention of cross-infection within the community, gaining the residents’ trust and support, and providing the residents with convenient services.Conclusion: In the present work, the Mulin community was taken as a typical case study, and qualitative methods were employed to comprehensively summarize the practice and experience of the community’s epidemic prevention. Mulin’s practices could shed light on how communities in other countries, especially developing countries with large populations, can prevent the spread of COVID-19.Keywords: COVID-19, epidemic prevention, community, China

Since the 18th National Congress of the Communist Party of China, general secretary Xi Jinping has repeatedly stressed the issue of college students shouldering social responsibilities in the new era. He encourages college students to bear the responsibility of the times and learns to assume social responsibility. Based on the literature analysis, using the methods of data investigation and case analysis, the study explores how colleges and universities reasonably use and actively guide students to correctly understand and then agree to translate into action showing social responsibility. At the same time, according to the investigation of college students' sense of social responsibility, this paper analyzes the existing problems in education, so as to put forward objective and accurate feasible strategies and suggestions. [ABSTRACT FROM AUTHOR]

Anti-epidemic traditional Chinese medicine health products are in line with the Healthy China strategy, play an important role in epidemic prevention and control, with adantages of diverse types, obvious effects, easy acceptance, and convenient administration. With rapid progess in science and technology, the research and development of new products is increasing and getting closer to the actual needs of different groups and different scenarios. With the rapid expansion of health industry of antiepidemic traditional Chinese medicine, while bringing more products to meet the needs of the public, it also fully exposes its shortcomings. This paper reviews its application and research and development status, and proposes suggestions and countermeasures for some of the existing problems, with a view to assisting the application and research and development of traditional Chinese medicine health products industry. [ABSTRACT FROM AUTHOR]

Abstract Background In China, the primary health care (PHC) system has been designated responsible for control and prevention of COVID-19, but not treatment. Suspected COVID-19 cases presenting to PHC facilities must be transferred to specialist fever clinics. This study aims to understand the impact of COVID-19 on PHC delivery and on antibiotic prescribing at a community level in rural areas of central China. Methods Qualitative semi-structured interviews were conducted with 18 PHC practitioners and seven patients recruited from two township health centres and nine village clinics in two rural residential areas of Anhui province. Interviews were transcribed verbatim and analysed thematically. Results PHC practitioners reported a major shift in their work away from seeing and treating patients (due to government-mandated referral to specialist Covid clinics) to focus on the key public health roles of tracing, screening and educating in rural areas. The additional work, risk, and financial pressure that PHC practitioners faced, placed considerable strain on them, particularly those working in village clinics. Face to face PHC provision was reduced and there was no substitution with consultations by phone or app, which practitioners attributed to the fact that most of their patients were elderly and not willing or able to switch. Practitioners saw COVID-19 as outside of their area of expertise and very different to the non-COVID-19 respiratory tract infections that they frequently treated pre-pandemic. They reported that antibiotic prescribing was reduced overall because far fewer patients were attending rural PHC facilities, but otherwise their antibiotic prescribing practices remained unchanged. Conclusions The COVID-19 pandemic had considerable impact on PHC in rural China. Practitioners took on substantial additional workload as part of epidemic control and fewer patients were seen in PHC. The reduction in patients seen and treated in PHC led to a reduction in antibiotic prescribing, although clinical practice remains unchanged. Since COVID-19 epidemic control work has been designated as a long-term task in China, rural PHC clinics now face the challenge of how to balance their principal clinical and increased public health roles and, in the case of the village clinics, remain financially viable.

Abstract Background With the spread of vaccines, more and more countries have controlled the outbreak of the COVID-19. In this post-epidemic era, these countries began to revive their economy. However, pollution remains in the environment, and people’s physical and psychological health has been under threat due to some over-prevention behaviors. Instruments for governmental agencies to manage these behaviors are not yet available. This study aims to develop a measurement model to identify and measure the degree of over-prevention behaviors during the COVID-19 epidemic in China. Methods A survey online was conducted to collect cognition from 1528 Chinese people, including descriptions of various over-prevention behaviors defined by health authorities. Factor analyses were used to develop the measurement model and test its validity. Logistic regression analyses were conducted to explore demographic characteristics, indicating people who are inclined to exhibit over-prevention behaviors. Results Four main factors were extracted to develop the model (eigenvalue = 7.337, 3.157, 1.447, and 1.059, respectively). The overall reliability (Cronbach’s α = 0.900), the convergent (AVE > 0.5, CR > 0.8 for each factor) and discriminant validity is good. There is also a good internal consistency among these factors (Cronbach’s α = 0.906, 0.852, 0.882, and 0.763, respectively). In Factor 1, gender has a negative effect (Beta = − 0.294, P

The unexpected outbreak of the COVID-19 pandemic has harmed the shipping industry, especially the cruise sector. During this period, the cruise crew, as a neglected subject, experienced great work, life and psychological pressures. However, many states, including China, do not pay enough attention to the legal protection of their rights. The legal literature on this issue is insufficient, and this paper attempts to fill the gap. This paper aims to give a legal suggestion for how to protect the legal rights of cruise crews in ways that are both responsible and effective in the post-COVID-19 pandemic era. To achieve the goal, this paper adopts legal research methods to analyze the application of international conventions and Chinese laws and regulations. The paper discusses the legal limitations on the rights' protection of cruise crews in the context of the COVID-19 pandemic, and the research results are legal considerations and suggestions for the protection of the cruise crew. In addition to taking reasonable measures to reduce the impact of the epidemic on cruise crews, the legitimate rights and interests of all cruise crew individuals should be realized as much as possible under existing international conventions and domestic laws. It is important for states to further improve crew and labour legislation and strengthen international cooperation to deal with the impact of the global pandemics on the cruise. [ABSTRACT FROM AUTHOR]

ObjectiveThis study aimed to conduct a systematic review of the global experiences of community responses to the COVID-19 epidemic.MethodFive electronic databases (PubMed, Embase, CINAHL, ScienceDirect, and Web of Science) were searched for peer-reviewed articles published in English, from inception to October 10, 2021. Two reviewers independently reviewed titles, abstracts, and full texts. A systematic review (with a scientific strategy for literature search and selection in the electronic databases applied to data collection) was used to investigate the experiences of community responses to the COVID-19 pandemic.ResultsThis review reported that community responses to COVID-19 consisted mainly of five ways. On the one hand, community-based screening and testing for Coronavirus was performed; on the other hand, the possible sources of transmission in communities were identified and cut off. In addition, communities provided medical aid for patients with mild cases of COVID-19. Moreover, social support for community residents, including material and psychosocial support, was provided to balance epidemic control and prevention and its impact on residents' lives. Last and most importantly, special care was provided to vulnerable residents during the epidemic.ConclusionThis study systematically reviewed how communities to respond to COVID-19. The findings presented some practical and useful tips for communities still overwhelmed by COVID-19 to deal with the epidemic. Also, some community-based practices reported in this review could provide valuable experiences for community responses to future epidemics.

In intensive aquaculture, the real-time detection and monitoring of common infectious disease is an important basis for scientific fish epidemic prevention strategies that can effectively reduce fish mortality and economic loss. However, low-quality underwater images and low-identification targets present great challenges to diseased fish detection. To overcome these challenges, this paper proposes a diseased fish detection model, using an improved YOLOV5 network for aquaculture (DFYOLO). The specific implementation methods are as follows: (1) the C3 structure is used instead of the CSPNet structure of the YOLOV5 model to facilitate the industrial deployment of the algorithm; (2) all the 3 × 3 convolutional kernels in the backbone network are replaced by a convolutional kernel group consisting of parallel 3 × 3, 1 × 3 and 3 × 1 convolutional kernels; and (3) the convolutional block attention module is added to the YOLOV5 algorithm. Experimental results in a fishing ground showed that the DFYOLO is better than that of the original YOLOV5 network, and the average precision was improved from 94.52% to 99.38% (when the intersection over union is 0.5), for an increase of 4.86%. Therefore, the DFYOLO network can effectively detect diseased fish and is applicable in intensive aquaculture.

The novel corona respiratory viruses usually leave the host via droplets and float in the air or settle down. Medically, the decay characteristics of aerosolized viruses have been simulated and measured by atomizing suspensions into air, but there has been no systematic study on the effect of ambient temperature and humidity. In this study, we collected experimental data from existing medical studies, then introduced and calculated the initial decay constant (k1) and the secondary decay constant (k2) based on these data as a unified standard to quantify the decay process of the aerosolized viruses. Additionally, the influence of various factors on the decay constant of respiratory viruses in the air was statistically analyzed. The results showed that the phase decay of aerosolized viruses was very evident, and k1 (0.1∼50) was usually one order of magnitude higher than k2 (0.005∼3.2). Furthermore, the relationship between the decay constant and the survival rate of viruses, representing the risk of virus transmission, and the decay time constants, reflecting the effective period of prevention and control, was discussed. According to the decay law, the main contradiction between virus transmission and epidemic prevention and control at different time nodes was pointed out, and scientific measures to reduce the transmission risk in the built environment were recommended. [ABSTRACT FROM AUTHOR]

In order to improve the efficiency and safety of epidemic prevention and disinfection operations for livestock and poultry breeding, the disinfection robot system and the automatic disinfecting mode were researched in this study. The robot system is composed of four components, namely the automatic bearing vehicle, the disinfection spraying unit, the environmental monitoring sensors, and the controller. The robot supports two working modes: fully automatic mode and remote control mode. Aiming at the low-light and low-stress condition in the livestock and poultry houses, the method for detecting navigation path based on "Magnet-RFID" marks in the ground was proposed to realize the robot's automatic moving between the cages. In view of the large-flow and long-range requirements of the disinfectant's spraying, the air-assisted nozzle was designed, which could atomize and disperse the liquid independently. Based on the CFD simulation of airflow in the nozzle, the nozzle's parts structural parameters were optimized, as the angle of the cone-shaped guide pad and the inclination angle of the grid respectively determined as 75°and 90°. Finally, the robot's performance was tested in a poultry house in Beijing. The results showed that, the robot's mobile platform could automatically navigate at the speed of 0.1－0.5 m/s, and the maximal deviation distance between the actual trajectory and the expected path was 50.8 mm. The air-assisted nozzle could realize the atomization and diffusion of the liquid medicine at the same time, and was suitable for spraying the liquid medicine with a flow rate of 200－400 mL/min. The diameter (DV.9) of the liquid droplets formed was 51.82－137.23 μL, and became larger as the flow rate of the liquid medicine increased. The deposition density of spray droplets formed by the nozzle was 116－149/cm2, and decreased as the spray distance increased. The size and density of the liquid droplets of the spray nozzle in different areas of the cage all met the index requirements for effectively killing adherent pathogenic microorganisms. The robot could be applied as an automatic sprayer for disinfectant and immune reagent in the livestock and poultry house.

Employee safety behavior is critical for occupational health in work environments threatened by the COVID-19 pandemic. Meanwhile, the widespread and increasingly serious job burnout of employees is a complex and difficult problem for enterprises to handle during any epidemic. Therefore, it is helpful to identify and discuss job burnout and other main psychological factors that affect safety behavior to find appropriate solutions. Using the PLS-SEM method, the study explored the relationship between job burnout and safety behavior against the epidemic, as well as the mediating role of psychological contract. According to the local guidelines for controlling COVID-19, this study revised the safety behavior scale. Data were collected by structured questionnaires in May to July 2020 from Chinese employees (N = 353) who resumed their work after the outbreak of the pandemic. The findings confirmed that job burnout has a negative impact on safety behavior, and psychological contract play a partial mediating role in mitigating the negative impact. Specifically, the transaction dimension and relationship dimension of psychological contract negatively affected safety behavior while the development dimension of the psychological contract was not directly related to safety behavior. It is suggested that enterprises should take effective measures to reduce employees' job burnout and implement flexible psychological contract management and intervention, so as to effectively improve the performance of work safety behavior. Based on the multidimensional model, the findings of this study shed light on promoting safety behavior to prevent the spread of epidemics. [ABSTRACT FROM AUTHOR]

Background: With the spread of vaccines, more and more countries have controlled the outbreak of the COVID-19. In this post-epidemic era, these countries began to revive their economy. However, pollution remains in the environment, and people's physical and psychological health has been under threat due to some over-prevention behaviors. Instruments for governmental agencies to manage these behaviors are not yet available. This study aims to develop a measurement model to identify and measure the degree of over-prevention behaviors during the COVID-19 epidemic in China. Methods: A survey online was conducted to collect cognition from 1528 Chinese people, including descriptions of various over-prevention behaviors defined by health authorities. Factor analyses were used to develop the measurement model and test its validity. Logistic regression analyses were conducted to explore demographic characteristics, indicating people who are inclined to exhibit over-prevention behaviors. Results: Four main factors were extracted to develop the model (eigenvalue = 7.337, 3.157, 1.447, and 1.059, respectively). The overall reliability (Cronbach's α = 0.900), the convergent (AVE > 0.5, CR > 0.8 for each factor) and discriminant validity is good. There is also a good internal consistency among these factors (Cronbach's α = 0.906, 0.852, 0.882, and 0.763, respectively). In Factor 1, gender has a negative effect (Beta = − 0.294, P < 0.05, OR = 0.745), whereas employment has a positive effect. Workers in institutions exhibit the greatest effect (Beta = 0.855, P < 0.001, OR = 2.352). In Factor 2, employment has a negative effect, with workers in institutions exhibit the greatest role (Beta = − 0.963, P < 0.001, OR = 0.382). By contrast, education level has a positive effect (Beta = 0.430, P < 0.001, OR = 1.537). In Factor 3, age plays a negative role (Beta = − 0.128, P < 0.05, OR = 0.880). Conclusions: People show a discrepancy in the cognition toward various over-prevention behaviors. The findings may have implications for decision-makers to reduce the contradiction between the epidemic and economic revival via managing these behaviors. [ABSTRACT FROM AUTHOR]

Background: With the spread of vaccines, more and more countries have controlled the outbreak of the COVID-19. In this post-epidemic era, these countries began to revive their economy. However, pollution remains in the environment, and people's physical and psychological health has been under threat due to some over-prevention behaviors. Instruments for governmental agencies to manage these behaviors are not yet available. This study aims to develop a measurement model to identify and measure the degree of over-prevention behaviors during the COVID-19 epidemic in China. Methods: A survey online was conducted to collect cognition from 1528 Chinese people, including descriptions of various over-prevention behaviors defined by health authorities. Factor analyses were used to develop the measurement model and test its validity. Logistic regression analyses were conducted to explore demographic characteristics, indicating people who are inclined to exhibit over-prevention behaviors. Results: Four main factors were extracted to develop the model (eigenvalue = 7.337, 3.157, 1.447, and 1.059, respectively). The overall reliability (Cronbach's α = 0.900), the convergent (AVE > 0.5, CR > 0.8 for each factor) and discriminant validity is good. There is also a good internal consistency among these factors (Cronbach's α = 0.906, 0.852, 0.882, and 0.763, respectively). In Factor 1, gender has a negative effect (Beta = − 0.294, P < 0.05, OR = 0.745), whereas employment has a positive effect. Workers in institutions exhibit the greatest effect (Beta = 0.855, P < 0.001, OR = 2.352). In Factor 2, employment has a negative effect, with workers in institutions exhibit the greatest role (Beta = − 0.963, P < 0.001, OR = 0.382). By contrast, education level has a positive effect (Beta = 0.430, P < 0.001, OR = 1.537). In Factor 3, age plays a negative role (Beta = − 0.128, P < 0.05, OR = 0.880). Conclusions: People show a discrepancy in the cognition toward various over-prevention behaviors. The findings may have implications for decision-makers to reduce the contradiction between the epidemic and economic revival via managing these behaviors. [ABSTRACT FROM AUTHOR]

Following COVID-19 outbreak, Internet public opinion has tended to proliferate. From a theoretical perspective, however, the spread law of Internet public opinion in major epidemic prevention and control may provide optimization strategies on how best to channel Internet public opinion. Specifically, this article aims at exploring key factors affecting our theoretical understanding on the spread of Internet public opinion on a major epidemic situation amongst college students. A questionnaire survey on college students was conducted via online research data collection platform located in Changsha, China, amassing three hundred and nineteen valid questionnaires. Smart PLS was applied to verify a theoretical model vis-à-vis the reliability and validity of the measuring instrument. Results show that adult attachment and social motivation have significant positive influences on the consciousness of social participation. Evidently, adult attachment, emotional orientation and risk perception also have significant positive influences on emotional motivation. Emotional motivation plays a mediating role in the relationship between affective disposition and dissemination willingness. Additionally, social motivation, consciousness of social participation and emotional motivation significantly influence one's dissemination willingness in a positive way. The consciousness of social participation plays a mediating role in the relationship between social motivation and dissemination willingness. Social motivation plays a moderating role in the relationship between risk perception and dissemination willingness. Altogether, theoretical rationalization to enhance understanding and guide the initiation and spread of Internet public opinion of major public health emergencies accurately has now been provided by this work.

Employee safety behavior is critical for occupational health in work environments threatened by the COVID-19 pandemic. Meanwhile, the widespread and increasingly serious job burnout of employees is a complex and difficult problem for enterprises to handle during any epidemic. Therefore, it is helpful to identify and discuss job burnout and other main psychological factors that affect safety behavior to find appropriate solutions. Using the PLS-SEM method, the study explored the relationship between job burnout and safety behavior against the epidemic, as well as the mediating role of psychological contract. According to the local guidelines for controlling COVID-19, this study revised the safety behavior scale. Data were collected by structured questionnaires in May to July 2020 from Chinese employees (N = 353) who resumed their work after the outbreak of the pandemic. The findings confirmed that job burnout has a negative impact on safety behavior, and psychological contract play a partial mediating role in mitigating the negative impact. Specifically, the transaction dimension and relationship dimension of psychological contract negatively affected safety behavior while the development dimension of the psychological contract was not directly related to safety behavior. It is suggested that enterprises should take effective measures to reduce employees’ job burnout and implement flexible psychological contract management and intervention, so as to effectively improve the performance of work safety behavior. Based on the multidimensional model, the findings of this study shed light on promoting safety behavior to prevent the spread of epidemics.

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Background: In China, the primary health care (PHC) system has been designated responsible for control and prevention of COVID-19, but not treatment. Suspected COVID-19 cases presenting to PHC facilities must be transferred to specialist fever clinics. This study aims to understand the impact of COVID-19 on PHC delivery and on antibiotic prescribing at a community level in rural areas of central China.Methods: Qualitative semi-structured interviews were conducted with 18 PHC practitioners and seven patients recruited from two township health centres and nine village clinics in two rural residential areas of Anhui province. Interviews were transcribed verbatim and analysed thematically.Results: PHC practitioners reported a major shift in their work away from seeing and treating patients (due to government-mandated referral to specialist Covid clinics) to focus on the key public health roles of tracing, screening and educating in rural areas. The additional work, risk, and financial pressure that PHC practitioners faced, placed considerable strain on them, particularly those working in village clinics. Face to face PHC provision was reduced and there was no substitution with consultations by phone or app, which practitioners attributed to the fact that most of their patients were elderly and not willing or able to switch. Practitioners saw COVID-19 as outside of their area of expertise and very different to the non-COVID-19 respiratory tract infections that they frequently treated pre-pandemic. They reported that antibiotic prescribing was reduced overall because far fewer patients were attending rural PHC facilities, but otherwise their antibiotic prescribing practices remained unchanged.Conclusions: The COVID-19 pandemic had considerable impact on PHC in rural China. Practitioners took on substantial additional workload as part of epidemic control and fewer patients were seen in PHC. The reduction in patients seen and treated in PHC led to a reduction in antibiotic prescribing, although clinical practice remains unchanged. Since COVID-19 epidemic control work has been designated as a long-term task in China, rural PHC clinics now face the challenge of how to balance their principal clinical and increased public health roles and, in the case of the village clinics, remain financially viable. [ABSTRACT FROM AUTHOR]

Incidences of noncompliance with COVID-19 prevention and control policies have occurred worldwide, increasing the risk to public safety and making epidemic control more difficult. We applied the approach–inhibition theory of power perception to investigate the underlying mechanisms and boundary conditions of the relationship between individuals' power perception and their prevention and control policy compliance. This study collected data from 303 participants in 45 counties (districts) spanning one province in China. Results show that individuals' sense of power was negatively related to their prevention and control policy compliance, with risk perception mediating and group policy control moderating this relationship. The findings provide a reference for assessing the effectiveness and relevance of government epidemic prevention and control. Implications for research and practice are discussed. [ABSTRACT FROM AUTHOR]

This paper constructs a partial equilibrium model under public health emergency shocks based on economic growth theory, and investigates the relationship between government intervention and virus transmission and economic growth path. We found that both close contacts tracing measures and isolation measures are beneficial to human capital stock and economic output per capita, and the effect of close contact tracing measures is better than that of isolation measures. For infectious diseases of different intensities, economic growth pathways differed across interventions. For low contagious public health emergencies, the focus should be on the coordination of isolation and tracing measures. For highly contagious public health emergencies, strict isolation, and tracing measures have limited effect in repairing the negative economic impact of the outbreak. The theoretical model provides a basic paradigm for the future researches to study economic growth under health emergencies, with good scalability and robustness.

Copyright of Tourism Tribune / Lvyou Xuekan is the property of Tourism Institute of Beijing Union University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In early 2020, the new coronavirus pneumonia (Referred to as COVID-19) spread rapidly throughout the country, which has a major impact on economic and social development. Timely and accurate disclosure of epidemic information will enhance the public's ability to discriminate against false information. The influence mechanism of epidemic information disclosure on the identification of true and false information was studied, and the influencing factors of epidemic information disclosure were analyzed and studied under the framework of the "Technology-Organization-Environment" (TOE) model and the two-factor theory of driving factors and impeding factors. Combined with the relevant data from the Open Data Network of Shandong and Jinan and the attention of hot news events on the Internet since the outbreak of the epidemic, it is proposed that information disclosure is conducive to reasonably guiding the public attitude and enhancing the ability of information screening. [ABSTRACT FROM AUTHOR]

Edible Chinese medicine is a significant part of traditional Chinese medicine. With the concept of "disease prevention", it can be used in all stages of epidemic prevention and control. This paper introduced the current status of anti-epidemic applications of edible medicines in detoxifying by heat-clearing or blood-cooling, removing dampness and turbidity, Qi and Yin tonifying, etc. In addition, new suggestions and strategies were provided for the professionals in this aera. [ABSTRACT FROM AUTHOR]

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During the epidemics in the Qing dynasty, many medical professionals, nonprofessionals, and social organizations collected and sorted medical prescriptions related to infectious diseases. These people also compiled, published, disseminated, and consulted related medical formularies. The above historical event can be viewed as the construction and dissemination of medical knowledge. They edited and published medical formularies on infectious diseases with lower cost and in flexible ways by taking the initiative and giving full scope to creativity. Diverse anti-epidemic medical prescriptions from these medical formularies can be used for infectious diseases in the event of the outbreaks. However, the therapeutic effects of classical prescriptions and folk recipes cannot be regarded as the same. The wide circulation of anti-epidemic medical prescriptions and medical formularies was essentially a process of epidemic prevention resource allocation. Not only did it enable many nonprofessionals to participate in epidemic prevention and control, but it also enhanced awareness, knowledge, and capacity for epidemic prevention at the individual level. At the same time, due to the uneven quality and individual differences in the physical fitness and condition of the prescriptions and formularies, they had the capacity of causing inconveniences to the readers or patients. [ABSTRACT FROM AUTHOR]

Background: The COVID-19 epidemic not only brings challenges to the health of people all over the world, but also impacts the global economy, and employment. Therefore, promoting industry and business to resume work safely has become an important step to be taken by all countries in overcoming the economic recession and restarting growth.Objective: This study aims to elaborate on epidemic prevention measures a Chinese company (Company C) took during work resumption.Methods: In this study, we used a case study design, with field research method applied to data collection and analysis.Results: It has been identified that Company C took a range of measures to prevent the outbreak of COVID-19 inside the company, which involve work resumption preparation (information survey, health training, work resumption plan, epidemic prevention plan), facilities management, materials management, employee activity management, and so on.Conclusion: When the COVID-19 epidemic was initially controlled in February, the Chinese government allowed enterprises to resume work voluntarily, which did not bring about a rebound in the epidemic. One important reason is that Chinese enterprises have taken multiple measures to prevent the spread of the COVID-19 virus. Company C's practices could shed some light on how companies in Western countries resume their work during the COVID-19 pandemic.

The highly pathogenic avian influenza (HPAI) H5N8 virus has been detected in wild birds and poultry worldwide. The threat caused by HPAI H5N8 virus still exists with concerns for human infection. The preparedness for epidemic prevention and decreasing the agricultural and economic lost is extremely important. Hemagglutinin (HA), a surface glycoprotein of influenza viruses, is considered as the major target for detection of the influenza virus subtype in the infected samples. In this study, the recombinant H5N8 HA1 and HA2 proteins were expressed in Escherichia coli, and were utilized to generate two monoclonal antibodies, named 7H6C and YC8. 7H6C can bind the HA proteins of H5N1 and H5N8, but cannot bind the HA proteins of H1N1, H3N2, and H7N9, indicating that it has H5-subtype specificity. In contrast, YC8 can bind the HA proteins of H1N1, H5N1, and H5N8, but cannot bind the HA proteins of H3N2 and H7N9, indicating that it has H1-subtype and H5-subtype specificity. The epitope sequences recognized by 7H6C are located in the head domain of H5N8 HA, and are highly conserved in H5 subtypes. The epitope sequences recognized by YC8 are located in the stalk domain of H5N8 HA, and are highly conserved among the H1 and H5 subtypes. 7H6C and YC8 can be applied for specific detection of the HA proteins of H5N8 and H5Nx avian influenza viruses. Key points: • The mAb 7H6C or YC8 was generated by using the HA1 or HA2 of the HPAI H5N8 virus as the immunogen. • 7H6C recognized the head domain of H5N8 HA, and YC8 recognized the stalk domain of H5N8 HA. • 7H6C and YC8 can detect the HA proteins of H5Nx subtypes specifically. [ABSTRACT FROM AUTHOR]