Systematic Research and Application of a 5G Medical Unmanned Aerial Vehicle to Deliver COVID-19 Nucleic Acid Samples.

The purpose of this study was to investigate the feasibility and effectiveness of COVID-19 throat swab samples delivered by medical drones in epidemic prevention and control. This study was carried out in both southern and northern hospital districts of the Affiliated Hospital of Jiangnan University from May to October 2022. The main participants were the Affiliated Hospital of Jiangnan University and Zhejiang Antwork Technology Co., Ltd. We first constructed an urban medical unmanned aerial vehicle (UAV) delivery system and developed a UAV-specific storage box for COVID-19 samples. The UAV system was used to transport COVID-19 throat swab samples from the northern hospital district to the southern hospital district, and the following indexes were obtained: (1) flight time of COVID-19 samples delivered by UAV, (2) real-time temperature of COVID-19 nucleic acid samples during transportation, and (3) the time of distribution of COVID-19 nucleic acid samples by road traffic as measured using the Baidu Maps application, compared with the flight time of UAV. The COVID-19 sample delivery system for urban medical UAV mainly consists of intelligent logistics UAV, low-temperature COVID-19 throat swab sample storage box, unmanned logistics hub, and cloud operation control platform. The flight distance between the northern and southern districts of the Affiliated Hospital of Jiangnan University was 10 km, and the ground distance was 24 km. From May 11 to October 28, 2022, a total of 1,190 UAV flights occurred. The average flight time was 13 minutes, which was 40 to 70 minutes faster than the average road travel time required for manual delivery of COVID-19 throat swab samples. At different time points in the day, UAV delivery efficiency increased by 67.5% to 82%. The use of 5G with the Internet of Things and UAV technology to deliver nucleic acid samples has the characteristics of fast speed, being unaffected by ground traffic conditions, and the ability to ensure the safety of nucleic acid samples in the transportation process, which is worthy of further study.

Modeling and analysis of a tourism supply chain considering service level and advertising in the context of regular epidemic prevention and control under COVID-19.

In the context of regular epidemic prevention and control, this paper considers a two-stage tourism supply chain consisting of a scenic spot that attracts tourists through advertising and a travel agency that invests in service improvement and epidemic prevention. By establishing theoretical game models of a tourism supply chain, we investigate how the service level and advertising level can affect the retail price, product service level, and profits of the supply chain. The results show that the service level of travel agencies could improve consumers' preferences, expand the market demand for tourism products, and improve the efficiency of the supply chain to achieve a win-win situation and increase the profits of the scenic spot and the travel agency. The retailer price, service level, promotion level, and supply chain profit all increase as the service coefficient and advertising coefficient increase, and the speed of the increase is higher for the centralized model than for other models. Some valuable information could be provided for supply chain enterprises to develop collaborative strategies and promote tourism supply chain management practices.

Coordination and modularization: the experience of the joint prevention and control mechanism to COVID emergencies in China.

Background: The integration of disparate emergency resources and the improvement of emergency response teamwork are the underlying trends and shared requirements for building resilience in an era of multiple global public health crises. Objective: This study investigated the emergency response with emergency collaboration networks of each functional module and the overall Joint Epidemic Prevention and Control Mechanism (JPCM) network in China's COVID outbreak prevention and control. Methods: The study employed a scholarly framework of "the integration of JPCM coordination and emergency collaborative modularization" to explore the attributes of JPCM using social network analysis. The data were obtained from administrative records from JPCM's official website, spanning January 2020 to December 2022. Results: The study examined the JPCM coordination and found several functional working modules of JPCM, such as Interrupt Spread, Manage Supply, Medical Rescue, Restore Work and Production, and Implement Responsibility modules. The network structure indicators showed that the Manage Supply module had the most extensive network connectivity, the shortest communication distance, and the most consistent collaboration. The E-I index of the overall JPCM network and the Manage Supply network were - 0.192 and - 0.452, respectively (at p < 0.001 and p < 0.05), indicating more internal relationships than external relationships. The E-I index of the Medical Rescue and Implement Responsibility collaboration networks were 0.122 and 0.147, respectively (at p < 0.001 and p < 0.05), indicating more external relationships than internal relationships. The QAP regression analysis showed that the most vital driver on the overall JPCM network was the Interrupt Spread module, followed by the Implement Responsibility and Medical Rescue modules. Discussion: The Interrupt Spread module initiated emergency coordination with most departments and agencies. The Manage Supply module ensured the flow of medical supplies and survival essentials, while the Medical Rescue module addressed the core aspects of the health emergency response. The Restore Work and Production module repaired the halt in production and livelihoods caused by the outbreak, strengthening and developing emergency coordination and roles across emergency organizations. The Implement Responsibility module provided more heterogeneous emergency response resources for the overall JPCM coordination, complementing the COVID cross-organizational emergency response coordination. Conclusion: The study on the JPCM case in China improves public health emergency management and aids informed decision-making.

Study on the Protection of the Rights and Interests of Tumor Subjects in Clinical Trials in the Prevention and Control of the COVID -19 / 中国医学伦理学

The outbreak of the COVID -19 has had a big impact on the implementation of clinical trials of tumor drugs and the prevention and control measures such as traffic control and home isolation has caused clinical trials couldn’t proceed normally, so the protection of tumor subjects in clinical trials faces many new challenges. Based on Western and Chinese policies and guidelines on the management of clinical trials during the COVID -19, this paper expounded the impacts of the COVID -19 on tumor patients and tumor clinical trials, analyzed the challenges faced by the protection of tumor subjects in the prevention and control of the COVID -19, and then protected tumor subjects from aspects of optimizing the allocation of health resources, improving non-face-to-face informed consent procedures, strengthening subject visit management, and enhancing clinical trial safety evaluation. It is hoped that these optimization measures can face the future and continue to protect subjects after the end of the epidemic or in new public health emergencies.

Ethical Consideration of Chinese Ancient Disasters and Diseases: Centered on the Basic Principles of Public Health Ethics / 中国医学伦理学

The ethical problems in the prevention and control of public disasters and epidemics have attracted more and more attention. Briefly combed the disaster and epidemic events in ancient China. From the view of the several basic principles of public health ethics, this paper took four aspects of the distribution of medical and health resources for epidemic diseases, the isolation prevention and control, the skeleton convergence and the protection of public health conditions as examples, to dialectically treat the measures taken by ancient people to deal with disasters and epidemics and explore some enlightenment of public health ethics in ancient Chinese disasters and epidemics. The measures of epidemic prevention and disaster resistance in ancient China have their own formation and development process. Although the historical limitations are insurmountable, interpreting it by using the basic principles of public health ethics will help us understand the development process of epidemic prevention and control, promote the development of medical archaeology, and provide some reference for the construction of public health undertakings today.

The Significance and Function of Marx’s View of Life on COVID-19 Epidemic Prevention and Control / 中国医学伦理学

Finding a way of life education with Chinese characteristics and making up for the shortcomings of life education, which should become a major issue for the in-depth study of COVID-19 epidemic prevention and control in China. Marx’s view of life is a correct and scientific view of life, which is not only the guiding ideology of life education, but also the important resources for life education. While criticizing the views of life and death based on the western philosophy of life, it can also overcomes the limitations of Chinese traditional view of life. In the epidemic prevention and control, the in-depth study of Marx’s view of life will help to promote the practice of life education, enable people to establish a correct and scientific view of life and obtain the life sublimation in life practice.

Factors influencing the mental health status of support nurses and their workload during the COVID-19 epidemic.

OBJECTIVES: The authors used the National Aeronautics and Space Administration Task Load Index (NASA-TLX) and general health questionnaire to analyze the factors influencing the mental health status and the workload of support nurses during the COVID-19 epidemic. MATERIAL AND METHODS: The authors conducted a cross-sectional survey of 349 support nurses in April-October 2022. Using QuestionStar, a powerful online survey tool, the authors administered surveys to the participants, collected data on the mental health status and workload of support nurses, and analyzed the influencing factors based on the collected data. RESULTS: A total of 316 questionnaires were successfully collected, with an effective rate of 98.75%. The proportion of support nurses with mental health problems was 25% and the value of the NASA-TLX questionnaire was: M±SD 68.91±7.28 pts. Multi-factor analysis revealed that the number of children, family support, and nursing support location were the influencing factors of mental health status, while the multivariate analysis revealed that the presence of symptoms, nursing support location, support work type, and total 12-item General Health Questionnaire (GHQ-12) score were the influencing factors of the workload of support nurses. CONCLUSIONS: Compared to their counterparts in the plains, nurses working in isolated plateau regions who were caring for children and lacked family support, were more likely to have mental health issues. There was a positive correlation between the changes in GHQ-12 and NASA-TLX scores of the study participants. Compared to their counterparts in the plains and the tropical regions, nurses working in plateau regions had a heavier workload. As part of the follow-up measures to prevent and treat patients impacted by the COVID-19 epidemic, it is important to improve the mental health evaluation, consultation, and treatment of the support nurses to guarantee the high quality of the first-line support work. Int J Occup Med Environ Health. 2023;36(6)761-72.

The Health Insurance Fund Participates in Controlling the Epidemic: Insights from German Experience in Dealing with the COVID-19 Pandemic.

To reveal the importance of the participation of the health insurance fund in the prevention and control of serious infectious diseases, this research retrospectively analyzed the case of the German statutory health insurance fund in response to the COVID-19 epidemic. Based on Germany's practical experience, this research offers a strategy idea for other countries with a social health insurance system, aiming to ensure that the health care system does not collapse rapidly due to medical resource shortage in the event of a pandemic. Firstly, this research conducted a documentary analysis to systematically collate the temporary and additional coverage measures provided by the health insurance fund from January to the end of July 2020, which sheds light on the pivotal role of these funds in epidemic prevention and control. Secondly, this research used comparative analysis to examine the time sequence of implementing these different types of coverage measures in the progression of the epidemic to illustrate how the health insurance fund adjusted its response measures. The health insurance fund was actively involved in the development of core strategies for combating the epidemic when it broke out, by taking part in joint multisectoral consultations. By using payment instruments flexibly, the fund led the implementation of epidemic prevention and control measures, as it could allocate health resources quickly and efficiently in emergencies. Furthermore, the health insurance fund played a critical role in transmitting information on the epidemic and guiding the insured to take appropriate protective measures. By fulfilling its role in health promotion, particularly in the area of health education, the fund provided important complementary and synergistic contributions to the prevention and control of the spread of infectious diseases. In summary, this research provides a new model for other countries for mobilizing a multi-sectoral response to infectious disease prevention and control, and emphasises the key role of the health insurance fund in responding to major public health crises.

Ideological and Physical Education Integration in Higher Education: Strategies for Mental Health Education / Integración ideológica y de educación física en la educación superior: estrategias para la educación en salud mental

From the actual situation and results of the people across the country working together to fight the epidemic since the outbreak of the epidemic, this article proposes the current focus of physical education in colleges and universities, namely the theory of socialism with Chinese characteristics, core values, and Chinese spirit. When major events occur in society, ideological work must respond quickly. At present, the ideological work of college graduates is at an important stage. Under the current epidemic situation, strengthen the physical work of college students, strengthen scientific guidance, strengthen humanistic care, and actively participate in the anti-epidemic work to ensure that college students can have a correct ideological system and a positive attitude. Mentality in the face of the epidemic. Based on the current situation of the epidemic and the changes in college students' ideology, psychology and values, the article puts forward the opportunities and challenges for the development of college students' ideological work under the current situation. And further discuss the possibility of reform theoretically and methodically, so as to further improve the quality of teaching and work, and provide new ideas for the ideological education work in colleges and universities.(AU)

Behavior analysis and formative assessments in online oral medicine education during the COVID-19 pandemic.

BACKGROUND: During the coronavirus disease 2019 (COVID-19) pandemic, traditional teaching methods were disrupted and online teaching became a new topic in education reform and informatization. In this context, it is important to investigate the necessity and effectiveness of online teaching methods for medical students. This study explored stomatology education in China to evaluate the development and challenges facing the field using massive open online courses (MOOCs) for oral medicine education during the pandemic. AIM: To investigate the current situation and challenges facing stomatology education in China, and to assess the necessity and effectiveness of online teaching methods among medical students. METHODS: Online courses were developed and offered on personal computers and mobile terminals. Behavioral analysis and formative assessments were conducted to evaluate the learning status of students. RESULTS: The results showed that most learners had already completed MOOCs and achieved better results. Course behavior analysis and student surveys indicated that students enjoyed the learning experience. However, the development of oral MOOCs during the COVID-19 pandemic faced significant challenges. CONCLUSION: This study provides insights into the potential of using MOOCs to support online professional learning and future teaching innovation, but emphasizes the need for careful design and positive feedback to ensure their success.

The Effect of Intolerance of Uncertainty on State Anxiety in the Regular Epidemic Prevention and Control Phase in the Context of Informatization: A Moderated Chain Mediation Model.

The COVID-19 pandemic has led to a generally high level of state anxiety resulting from the high contagiousness of the disease and strict prevention and control policies. The present study mainly focused on the relationship between the individual intolerance of uncertainty and state anxiety in the regular epidemic prevention and control phase in China, and aimed to investigate the mediating role of information overload and rumination, as well as the moderating role of self-compassion. A total of 992 Chinese residents from 31 provinces participated in this study, and completed questionnaires regarding intolerance of uncertainty, information overload, self-compassion, rumination, and state anxiety. Descriptive statistics and correlation analyses, as well as tests for mediating effects and moderated chain mediating effects, were performed on the data using SPSS 26.0 and Process 3.5 macro program. The findings indicated that intolerance of uncertainty significantly predicted individual state anxiety. Information overload mediates the effects of intolerance of uncertainty and state anxiety. Rumination also mediates the effect of uncertainty intolerance on state anxiety. Information overload and rumination have a chain mediation effect on the link between intolerance of uncertainty and state anxiety. Self-compassion mediates the effect of information overload on rumination. The results illuminate theoretical and practical implications in the regular epidemic prevention and control phases and reveal the protective role of self-compassion.

Analysis on the factors associated with COVID-19 infection among Chinese residents after the implementation of the 10 new rules to optimize COVID-19 response: a cross-sectional study.

Introduction: This study aimed to investigate the status of COVID-19 infection and the associated factors among Chinese residents after the implementation of the 10 New Rules to optimize COVID response. Methods: Participants were recruited using convenience sampling. The study used self-filled questionnaires to examine COVID-19 infection and associated factors among Chinese residents, from December 29, 2022, to January 2, 2023. For the statistical analysis, descriptive and quantitative analyses were used. The potential risk factors for COVID-19 infection were identified by multivariable logistic regression analysis. Results: After the adjustments in control strategies against COVID-19, the infection rate of COVID-19 was high among respondents, and 98.4% of individuals who tested positive showed symptoms including cough, fever, fatigue, headache, sore throat, nasal congestion, sputum production, muscle and joint pain, and runny nose. The main problems respondents reported were the shortage of drugs and medical supplies, the increased burden on families, and the unreliable information source of COVID-19 infection. Logistic regression showed that isolating patients with COVID-19 at home was associated with a lower risk of COVID-19 infection (OR = 0.58, 95%CI: 0.42-0.81). Conclusion: COVID-19 infection among residents is closely related to age, gender, and epidemic prevention measures. The government needs to strengthen education for individuals and centrally manage and properly address difficulties that may arise during COVID-19.

Influence Mechanism Analysis of the Spatial Evolution of Inter-Provincial Population Flow in China Based on Epidemic Prevention and Control.

Based on big data on migration from the Baidu Map platform, this paper divides China's epidemic prevention and control efforts into four stages. Then, the characteristics and spatial patterns of daily population flows are studied by social network analysis. Subsequently, the exponential random graph model is used to investigate the influence of dynamic characteristics of changes in the spatial structure of the interprovincial population flow network during the postepidemic period. The spatial structure of the population flow network before, during, and after the epidemic shows significantly different characteristics, with epidemic prevention and control measures playing a significant role in restricting population flows. Interprovincial population flows have a certain degree of transmissibility, but two-way flows are not obvious. In addition, for regions with a larger resident population and a higher unemployment rate, a larger population tends to flow out. For regions with higher per capita GDP, the secondary and tertiary industries account for a relatively larger proportion, and the public environment is better. The more attractive a region is to the population, the higher is the tendency towards population inflows. Moreover, the level of medical care and epidemic prevention and control have become the main influencing factors of population movement.

Comparative analysis of prevention and control measures toward COVID-19 epidemic between Shanghai and Beijing.

Purpose: By serving and providing a guide for other regional places, this study aims to advance and guide the epidemic prevention and control methods, and practices and strengthen people's ability to respond to COVID-19 and other future potential public health risks. Design/methodology/approach: A comparative analysis was conducted that the COVID-19 epidemic development trend and prevention and control effects both in Beijing and Shanghai. In fact, regarding the COVID-19 policy and strategic areas, the differences between governmental, social, and professional management were discussed and explored. To prevent and be ready for potential pandemics, experience and knowledge were used and summarized. Findings: The strong attack of the Omicron variant in early 2022 has posed challenges to epidemic prevention and control practices in many Chinese cities. Shanghai, which had achieved relatively good performance in the fight against the epidemic, has exposed limitations in its epidemic prevention and control system in the face of Omicron. In fact, the city of Beijing has undertaken prompt and severe lockdown measures and achieved rather good results in epidemic prevention and control because of learning from Shanghai's experience and lessons; adhering to the overall concept of "dynamic clearing," implementing precise prevention and monitoring, enhancing community control, and making emergency plans and preparations. All these actions and measures are still essential in the shift from pandemic response to pandemic control. Research limitations/implications: Different places have introduced different urgent policies to control the spread of the pandemic. Strategies to control COVID-19 have often been based on preliminary and limited data and have tended to be slow to evolve as new evidence emerges. Hence, the effects of these anti-epidemic policies need to be further tested.

Constructing big data prevention and control model for public health emergencies in China: A grounded theory study.

Big data technology plays an important role in the prevention and control of public health emergencies such as the COVID-19 pandemic. Current studies on model construction, such as SIR infectious disease model, 4R crisis management model, etc., have put forward decision-making suggestions from different perspectives, which also provide a reference basis for the research in this paper. This paper conducts an exploratory study on the construction of a big data prevention and control model for public health emergencies by using the grounded theory, a qualitative research method, with literature, policies, and regulations as research samples, and makes a grounded analysis through three-level coding and saturation test. Main results are as follows: (1) The three elements of data layer, subject layer, and application layer play a prominent role in the digital prevention and control practice of epidemic in China and constitute the basic framework of the "DSA" model. (2) The "DSA" model integrates cross-industry, cross-region, and cross-domain epidemic data into one system framework, effectively solving the disadvantages of fragmentation caused by "information island". (3) The "DSA" model analyzes the differences in information needs of different subjects during an outbreak and summarizes several collaborative approaches to promote resource sharing and cooperative governance. (4) The "DSA" model analyzes the specific application scenarios of big data technology in different stages of epidemic development, effectively responding to the disconnection between current technological development and realistic needs.

Strategies for the Emergency Treatment of Pregnant Women with Neurological Symptoms during the COVID-19 Pandemic.

Coronavirus disease-19 (COVID-19) has been spreading all over the world for more than two years. Though several kinds of vaccines are currently available, emergence of new variants, spike mutations and immune escape have raised new challenges. Pregnant women are vulnerable to respiratory infections due to their altered immune defence and surveillance functions. Besides, whether pregnant persons should receive a COVID-19 vaccine is still under debate because limited data are available on the efficacy and safety of receiving a vaccine during pregnancy. Physiological features and lack of effective protection making pregnant women at high risk of getting infected. Another concern is that pregnancy may trigger the onset of underlying existing neurological disease, which is highly similar to those neurological symptoms of pregnant women caused by COVID-19. These similarities interfere with diagnosis and delay timely and effective management. Therefore, providing efficient emergency support for pregnant women suffering from neurological symptoms caused by COVID-19 remains a challenge among neurologists and obstetricians. To improve the diagnosis and treatment efficiency of pregnant women with neurological symptoms, we propose an emergency management framework based on the clinicians' experience and available resources. This emergency care system aimed at addressing the conundrums faced by the emergency guarantee system under COVID-19 pandemic and could serve as a potential multisystem project for clinical practice and medical education.

Digital Transformation and Open Innovation Planning of Response to COVID-19 Outbreak: A Systematic Literature Review and Future Research Agenda.

The COVID-19 pandemic highlights the importance of digital technology in a specific region's epidemic prevention and control, and the digital transformation strategy based on the open innovation system is an emerging way to tackle conceivable outbreaks. Based on the bibliometric study of relevant literature data, this paper evaluated the research and development status in this field, and conducted a systematic literature review on the basis of the core articles identified. The results of bibliometric analysis software, including CiteSpace, CitNetExplorer and VOSViewer, showed that the development of relevant research presented rapidity and decentralization, and the evolution process of literature topics further implies the necessity of interdisciplinary and multisectoral collaboration. Furthermore, this paper summarized the specific implementation strategies for constructing an open innovation system, and discussed the role and development plan of digital technology in epidemic prevention and control.

Application of big data and artificial intelligence in epidemic surveillance and containment.

Faced with the current time-sensitive COVID-19 pandemic, the overburdened healthcare systems have resulted in a strong demand to develop newer methods to control the spread of the pandemic. Big data and artificial intelligence (AI) have been leveraged amid the COVID-19 pandemic; however, little is known about their use for supporting public health efforts. In epidemic surveillance and containment, efforts are needed to treat critical patients, track and manage the health status of residents, isolate suspected cases, and develop vaccines and antiviral drugs. The applications of emerging practices of artificial intelligence and big data have become powerful "weapons" to fight against the pandemic and provide strong support in pandemic prevention and control, such as early warning, analysis and judgment, interruption and intervention of epidemic, to achieve goals of early detection, early report, early diagnosis, early isolation and early treatment. These are the decisive factors to control the spread of the epidemic and reduce the mortality. This paper systematically summarized the application of big data and AI in epidemic, and describes practical cases and challenges with emphasis on epidemic prevention and control. The included studies showed that big data and AI have the potential strength to fight against COVID-19. However, many of the proposed methods are not yet widely accepted. Thus, the most rewarding research would be on methods that promise value beyond COVID-19. More efforts are needed for developing standardized reporting protocols or guidelines for practice.

GeoInfographic design of the multi-spatiality of borders: A case study of epidemic prevention and control in Ruili, China.

We live in a world of borders, which influence our perception and movement. Traditional mapping techniques show limitations as borders have become shifting and complex, and borders' multi-scale and multi-spatial properties have been strengthened significantly. To fill the knowledge gap, we explored the multi-spatiality of borders and provided approaches for border symbol design and visualization by taking the coronavirus-hit border city, Ruili, China, as an example. This work could shed light on multi-spatial geographic visualization and policy-making.