Sustainable response strategy for COVID-19: Pandemic zoning with urban multimodal transport data.

In the post-COVID-19 era, the pandemic response is increasingly difficult and entails a high cost to society. Existing pandemic control methods, such as lockdowns, greatly affect residents' normal lives. This paper proposes a pandemic control method, consisting of the scientific delineation of urban areas based on multimodal transportation data. An improved Leiden method based on the gravity model is used to construct a preliminary zoning scheme, which is then modified by spatial constraints. The modularity index demonstrates the suitability of this method for community detection. This method can minimize cut-off traffic flows between pandemic control areas. The results show that only 24.8% of travel links are disrupted using our method, which could reduce both the impact of pandemic control on the daily life of residents and its cost. These findings can help develop sustainable strategies and proposals for effective pandemic response.

Psychological stress and psychological support of Chinese nurses during severe public health events.

The domestic health care system has been facing a difficult task, especially in medical care, and Chinese nurses are under tremendous psychological pressure. Psychological support is a protective factor to relieve stress. This study examined the stress level and characteristics of Chinese nurses with different psychological support-seeking behaviours. Data from online questionnaires for this cross-sectional study were collected between January 2020 and February 2020 and yielded 2248 valid questionnaires for analysis with a response rate of 99.8%. General information of the respondents was also collected. The nurses' stress levels were assessed using the Perceived Stress Scale (PSS-10). T tests, chi-square tests, and linear regression were used to examine the relationships among the factors. The results of this survey showed that between January and February 2020, 26.9% of nurses received psychological counselling, and the proportion was higher among men and nurses with lower education. The PSS-10 was related to gender, age group, provincial severity, and confidence in the control of the epidemic. The results showed that psychological support can effectively improve the confidence of domestic nurses in the face of arduous work and effectively relieve the psychological pressure caused by a heavy workload.

Modeling and simulation of microblog-based public health emergency-associated public opinion communication.

With the advent of the era of "we media," many people's opinions have become easily accessible. Public health emergencies have always been an important aspect of public opinion exchange and emotional communication. In view of this sudden group panic, public opinion cannot be effectively monitored, controlled or guided. This makes it easy to amplify the beliefs and irrationality of social emotions, that threaten social security and stability. Considering the important role of opinion leaders in micro-blogs and users' interest in micro-blog information, a SIR model of public opinion propagation is constructed based on the novel coronavirus pneumonia model and micro-blog's public health emergencies information. The parameters of the model are calculated by combining the actual crawl data from the novel coronavirus pneumonia epidemic period, and the trends in the evolution of public opinion are simulated by MATLAB. The simulation results are consistent with the actual development of public opinion dissemination, which shows the effectiveness of the model. These research findings can help the government understand the principles that guide the propagation of public opinion and advise an appropriate time to control and correctly guide public opinion.

Using Shannon Entropy to Improve the Identification of MP-SBM Models with Undesirable Output.

In the context of the COVID-19 global epidemic, it is particularly important to use limited medical resources to improve the systemic control of infectious diseases. There is a situation where a shortage of medical resources and an uneven distribution of resources in China exist. Therefore, it is important to have an accurate understanding of the current status of the healthcare system in China and to improve the efficiency of their infectious disease control methods. In this study, the MP-SBM-Shannon entropy model (modified panel slacks-based measure Shannon entropy model) was proposed and applied to measure the disposal efficiency of the medical institutions responding to public health emergencies (disposal efficiency) in China from 2012 to 2018. First, a P-SBM (panel slacks-based measure) model, with undesirable outputs based on panel data, is given in this paper. This model measures the efficiency of all DMUs based on the same technical frontier and can be used for the dynamic efficiency analysis of panel data. Then, the MP-SBM model is applied to solve the specific efficiency paradox of the P-SBM model caused by the objective data structure. Finally, based on the MP-SBM model, undesirable outputs are considered in the original efficiency matrix alignment combination for the deficiencies of the existing Shannon entropy-DEA model. The comparative analysis shows that the MP-SBM-Shannon model not only solves the problem of the efficiency paradox of the P-SBM model but also improves the MP-SBM model identification ability and provides a complete ranking with certain advantages. The results of the study show that the disposal efficiency of the medical institutions responding to public health emergencies in China shows an upward trend, but the average combined efficiency is less than 0.47. Therefore, there is still much room for improvement in the efficiency of infectious disease prevention and control in China. It is found that the staffing problem within the Center for Disease Control and the health supervision office are two stumbling blocks.

[Help-seeking efficacy and the intention of social assistance among medical care personnel during the major public health events].

Objective: To explore the help seeking efficacy and social assistance willingness of medical staff during major public health events, so as to provide basis for improving the psychological resources and service quality of medical staff and further optimizing the prevention and treatment policies. Methods: In February 2020, a convenient sampling method was used to conduct an online questionnaire survey on medical staff in Henan Province, and a total of 2136 questionnaires were collected. Among them, there were 1940 valid questionnaires, and the effective recovery rate was 90.82%. The questionnaire of help seeking efficacy and willingness to social assistance under epidemic situation was used to investigate the help seeking efficacy and willingness of medical staff. The frequency and rate (%) were used to analyze the overall situation of medical staff's help seeking efficacy and social assistance willingness. The differences among different demographic variables were tested by χ(2) test. Results: Among the 1940 medical and nursing staff, 18.81% (365/1940) did not know how to obtain appropriate psychological assistance. Compared with the low age group, the medical staff in the high age group had the ability of information query, the ability to occupy knowledge resources, the ability to distinguish rumors and facts and the sense of efficacy of obtaining appropriate medical help, and the difference was statistically significant (P<0.05) . The willingness of medical and nursing staff to actively cooperate with the government, maintain social stability and volunteer work were 99.43% (1929/1940) , 98.81% (1917/1940) and 97.11% (1884/1940) . Conclusion: The medical staff had a higher sense of help seeking efficacy and willingness to social assistance. It is necessary to further strengthen the resource support of psychological, social and humanistic care for medical staff.

The application of innovative ecosystems to build resilient communities in response to major public health events.

In recent years, major public health events have had a significant and far-reaching impact on communities. As a response, there has been an increasing interest in enhancing community resilience through innovative ecosystems that involve diverse stakeholders with varying needs and demands. This study investigates the application of innovative ecosystems to improve community resilience in the face of major public health events by utilizing a sequential game approach to balance the interests of government, community, and residents. Subsequently, a comprehensive questionnaire survey was conducted among key stakeholders to ascertain their objectives, requirements and concerns for the innovation ecosystem based on the analysis results of the game model. The reliability and effectiveness of the proposed research method were verified through the analysis and verification of the sequence game model and questionnaire survey results. Finally, according to our analysis results, we propose countermeasures for promoting innovative ecosystems to improve community resilience. The research results indicate that the successful implementation of innovative ecosystems requires consideration of the different needs of stakeholders such as government officials, community members, and residents. Combining these perspectives can effectively promote such systems while enhancing the community's resilience to major public health events.

Mental health status of Chinese residents and its associated factors in the aftermath of the COVID-19 pandemic: A cross-sectional study.

Background: During the COVID-19 pandemic, numerous studies focused on mental health, but few considered both positive and negative aspects within the dual-factor model of psychological well-being. In China, a highly populous country, limited evidence exists regarding mental health and its associated factors following the surge and decline of COVID-19 cases after the loosening of COVID-19 control measures. This study aims to investigate the mental health status of Chinese residents in the aftermath of the pandemic and factors influencing positive and negative indicators using the System-Based Model of Stress. Methods: A cross-sectional online survey of 1,026 participants was conducted in China from March 2-31, 2023, using quota sampling. Structural equation modeling (SEM) was performed to test the conceptual model, where social support, perceived susceptibility, perceived severity, pandemic-related events, coping style, and concern about COVID-19 were considered as predictors, and psychological distress and subjective well-being as outcomes. Results: The results revealed high prevalence rates of psychological distress (23 %) with either of anxiety (15 %) or depression (20 %), and poor subjective well-being (23 %) among Chinese residents after the COVID-19 pandemic. Social support was negatively correlated with psychological distress, and negative coping style, pandemic-related events, and concern about COVID-19 were positively correlated with psychological distress. Moreover, social support was positively correlated with subjective well-being, and negative coping style and pandemic-related events were negatively correlated with subjective well-being. Conclusions: These findings enhance our understanding of the differing correlates of positive and negative mental health, suggesting targeted psychological interventions for post-pandemic and future public health events.

Application of empathy theory in the study of the effectiveness and timeliness of information dissemination in regional public health events.

Introduction: This study examines the role of empathy theory in enhancing the effectiveness and timeliness of information dissemination during regional public health events, with a focus on the SARS and COVID-19 pandemics as case studies. Utilizing an anthropological interview method, the research delves into the public's transformation from passive recipients to active participants in information dissemination, emphasizing the impact of empathy. Objective: The study aims to evaluate the application of empathy theory in the context of public health emergencies and to determine its influence on the quality of information dissemination and public engagement. Methods: The research involved two distinct surveys, each collecting 50 questionnaires from participants in different regions, to capture a diverse range of perspectives. The surveys assessed participants' views on information dissemination, their levels of empathy, and their behaviors in receiving and sharing health-related information. Results: The findings indicate that empathy plays a crucial role in facilitating the active involvement of the public in information dissemination. There is a notable difference in the public's emotional response and information sharing behaviors between regions with direct experience of the health events and those less affected. Conclusion: The study concludes that empathy theory, when applied to information dissemination during public health emergencies, can significantly improve the public's engagement and the overall effectiveness of communication strategies. The results underscore the need for empathetic communication to foster a sense of solidarity and collective action in response to public health crises.

Patients' response during the co-circulation of multiple respiratory diseases in China-based on the self-regulation common-sense model.

Background: Following the COVID-19 pandemic, another large-scale respiratory epidemic has emerged in China, causing significant social impact and disruption. The article is to explore the patients' psychological and behavioral responses to the enhancement of healthcare quality. Methods: Based on the five dimensions of the Self-Regulation Common-Sense Model, we developed an interview outline to explore the process by which patients identify disease symptoms to guide action plans and coping strategies. The researchers used a semi-structured interview format to simultaneously collect data online and offline. This study gathered data from 12 patients with mixed respiratory infections, comprising 58% females and 42% males; the average age was 30.67 years (SD 20.00), with 91.7% infected with two pathogens and 8.3% with three. The data analysis employed the KJ method, themes were inductively analyzed and categorized from semi-structured interview results, which were then organized into a coherent visual and logical pathway. Key results: The study identified 5 themes: (1) Autonomous Actions Prior to Seeking Medical Care; (2) Decision-Making in Seeking Hospital Care; (3) Disease Shock; (4) Public Crisis Response; (5) Information Cocoon. Conclusion: The pandemic of respiratory infectious diseases has not ceased in recent years. Following the COVID-19 pandemic, China is now facing a trend of concurrent epidemics involving multiple respiratory pathogens. This study centers on patients' health behaviors, exploring the potential relationships among various factors that affect these behaviors. The aim is to provide references and grounds for the improvement of healthcare services when such public health events reoccur.

Multi-scenario flexible contract coordination for determining the quantity of emergency medical suppliers in public health events.

Determining the optimal number of emergency medical suppliers for the government to contract with in the context of public health events poses a challenging problem. Having too many suppliers can result in increased costs, while having too few suppliers can potentially expose the government to supply risks. Striking the right balance between these two factors is crucial in ensuring efficient and reliable emergency response and management. This study examines the process of determining the appropriate number of suppliers in emergency medical supply chain. By incorporating option contracts and employing the total cost of government procurement as the objective function, the analysis focuses on the impact of relevant parameters on the optimal number of suppliers. Furthermore, the study investigates the optimal supplier quantities under different types of option contracts. The proposed decision model for determining the optimal number of suppliers in this paper considers three key factors: the supply risk associated with emergency medical supplies, the reserve cost of government procurement, and the responsiveness of emergency medical supplies. Additionally, a method is introduced for selecting the quantity of emergency medical suppliers based on flexible contracts. This approach offers a scientific foundation for the government to effectively address the challenge of supplier quantity selection when faced with risks related to shortages, expiration, and the combination of both.

Forecasting emergency medicine reserve demand with a novel decomposition-ensemble methodology.

Accurate prediction is a fundamental and leading work of the emergency medicine reserve management. Given that the emergency medicine reserve demand is affected by various factors during the public health events and thus the observed data are composed of different but hard-to-distinguish components, the traditional demand forecasting method is not competent for this case. To bridge this gap, this paper proposes the EMD-ELMAN-ARIMA (ELA) model which first utilizes Empirical Mode Decomposition (EMD) to decompose the original series into various components. The Elman neural network and ARIMA models are employed to forecast the identified components and the final forecast values are generated by integrating the individual component predictions. For the purpose of validation, an empirical study is carried out based on the influenza data of Beijing from 2014 to 2018. The results clearly show the superiority of the proposed ELA algorithm over its two rivals including the ARIMA and ELMAN models.

Innovate emergency governance mechanism of urban communities in response to major public health events: A qualitative study from multiple principals in Guangzhou, China.

Since the end of 2019, the sudden outbreak of COVID-19 has challenged the emergency governance systems of various countries. As the cornerstone of national governance, China's community emergency governance mainly adopts top-down organizational mobilization and rapid response, which is typical abnormal governance. In responding to major public health events, China's national system has developed certain advantages in some respects. However, the current pandemic is still serious in many places, and new mutant strains are constantly appearing. Some drawbacks of such system and mechanism are gradually emerging. In the process of preventing and controlling the pandemic, China's urban communities have continuously improved the joint mechanism, and played the role of multiple principals in collaborative and co-governance. The current work of pandemic prevention and control has entered a period of normalization. What is the collaborative mechanism of multiple principals (Subdistrict headquarter, Community committee, Owners' committee, Community hospital, Local police station, Property management company, etc.) in urban communities participating in emergencies and how to seek ways to further improve the mechanism? Therefore, taking the community practice and actions in Guangzhou, China as an example, the present study employed a qualitative design, proposed to better community emergency governance mechanisms from the aspects of preparedness, response, communication and recovery, so as to provide a reference for other grassroots organizations.

Construction of public health core competence and the improvement of its legal guarantee in China.

Public health core capacity, first established by the 58th United Nations General Assembly in 2003 and recognized by the World Health Organization when "the International Health Regulations" were revised, refers to the basic and necessary capacity to allocate human, financial, and material resources for the prevention and control of public health events that a country or region should have. It includes national and regional levels, and its constituent elements and their basic requirements differ, but public health core capacity building at both national and regional levels requires certain legal safeguards. At present, there are still some problems, including the imperfect legal system, conflicting legal norms, the non-sufficient supply of local legislation, and the weak operability of legislation in the legal guarantee of public health core capacity building in China. China should make improvements in terms of comprehensive cleaning of existing public health laws, strengthening their post-legislative evaluation, adopting parcel legislation, strengthening legislation in key areas of public health, and promoting the supply of local legislation. The goal is to provide a perfect and comprehensive legal system to guarantee the construction of China's core capacity in public health.

Research on the service quality of emergency medical language services during major unexpected public health events.

Introduction: Emergency Medical Language Services (EMLS) have played a crucial role in the COVID-19 pandemic. Research on the quality and its influencing factors of EMLS is necessary. Methods: This study used the SERvice QUALity (SERVQUAL) model to determine factors affecting the quality of EMLS during the pandemic. An online questionnaire was completed by 206 participants who received the service in 2021-2022. Structural Equation Modeling (SEM) indicated that the service provider and service process significantly influenced the Service Results. Results: In the service process, the evaluation of service content and responsiveness were highly correlated, and both factors significantly affected user satisfaction. In the service provider, tangibility and reliability were highly correlated. The key factors for user willingness to recommend the service were service content and tangibility. Discussion: Based on the results of the data analysis, it can be inferred that EMLS should be improved and upgraded in terms of service organization, talent cultivation, and service channel expansion. To enhance service organization, an emergency medical language team should establish a close collaboration with local medical institutions and government departments, and an EMLS center should be established with the support of hospitals, government, or civil organizations.

Public health events emergency management supervision strategy considering citizens' and new media's different ways of participation.

Public health events have done great harm. Emergency management requires the joint participation of multiple parties including government department, pharmaceutical enterprises, citizens and new media. Then, what are the effects of different strategy choices in participation of citizens and new media on emergency management? To answer the question, we construct a four-party evolutionary game model, considering the citizens' two participation ways consisted of true evaluation and false evaluation, and the new media's two participation ways consisted of report after verification and report without verification. This is of more practical significance than simply studying whether citizens and new media participate in emergency management or not because citizen and new media participation does not represent the completely positive behavior. Then, we conduct the evolutionary stability analysis, solve the stable equilibrium points using the Lyapunov first method and conduct the simulation analysis with MATLAB 2020b. The results show that, firstly, the greater the probability of citizens making true evaluation, the more inclined the government department is to strictly implement the emergency management system; secondly, when the probability of citizens making true evaluation decreases, new media are more inclined to report after verification, and when new media lose more pageview value or should be punished more for reporting without verification, the probability that they report without verification is smaller; thirdly, the greater the probability of citizens making false evaluation, the less enthusiasm of pharmaceutical enterprises to participate in emergency management, which indicates that false evaluation is detrimental to prompt pharmaceutical enterprises to participate; what's more, the greater the probability of new media reporting after verification, the greater the probability of pharmaceutical enterprises actively participating, which shows that new media's verification to citizens' evaluation is beneficial to emergency management.

Public Risk Perception Attribution Model and Governance Path in COVID-19: A Perspective Based on Risk Information.

Background: Risk perception is a key factor influencing the public's behavioral response to major public health events. The research on public risk perception promotes the emergency management system to adapt to the needs of modern development. This article is based on a risk information perspective, using the COVID-19 event as an example. From the micro and macro perspectives, the influencing factors of public risk perception in major public health events in China are extracted, and the attribution model and index system of public risk perception are established. Methods: In this paper, the five-level Likert scale is used to collect and measure the risk perception variable questionnaire through the combination of online and offline methods (a total of 550 questionnaires, the overall Alpha coefficient of the questionnaire is 0.955, and the KMO test coefficient t=0.941), and through independent samples t-test, correlation analysis, multiple regression analysis and other methods to draw relevant conclusions. Results: The results showed that gender and age were significantly associated with risk perception (p<0.005), and education level was significantly negatively associated with risk perception (p <0 0.005). Risk information attention and risk perception were significantly positively correlated (p<0.005), media credibility was significantly positively correlated with risk perception (p<0.005), while risk information identification and media exposure had no significant interaction with risk perception (p=0.125, p=0.352). Conclusion: Factors such as gender, age, education level, place of residence, media exposure, media credibility, risk information attention, and recognition lead to different levels of risk perception. This conclusion helps to provide a basis for relevant departments to conduct public risk management of major public health events based on differences in risk perceptions.

Establishment of the emergency material reserve mechanism for public health emergencies and optimization of the management of various functional departments.

Public health emergencies refer to emergencies caused by various factors that may cause serious harm to society. This paper mainly discusses how to establish an emergency reserve mechanism for public health emergencies. This paper proposes a comprehensive evaluation system for emergency response capabilities based on analytical methods, and analyzes the emergency response to public health emergencies and various functional management departments. The experimental results show that the implementation rate of disease prevention and control projects in the city center is 59.3%, and the average completion rate of inspection projects by district and county health supervision agencies is 45.8%. However, these achievements are far from enough. Therefore, the training of relevant personnel should be strengthened and run through the material reserve work from beginning to end. At the same time, an emergency material reserve system should be established. According to actual needs, timely provide emergency disposal materials to ensure normal supply. In response to the current public health emergencies, multiple departments and units should further strengthen management personnel allocation and optimize work processes to promote the development of public health.

Analysis and Review of the Countermeasures Required for Medical Staff's Cognition of Relevant Laws and Regulations in the Coronavirus 2019 Context.

Background: Novel coronavirus 2019 (COVID-19) infections are highly contagious and have spread worldwide. Healthcare workers must understand the laws and regulations related to major public health emergencies to work effectively within this environment. Through investigation and analysis, a review was conducted to help gain a better understanding of a Level-1 response to public health events and the relevant laws and regulations applicable to medical staff. Based on the results, this study formulated measures for working in the current COVID-19 healthcare context. Methods: A total of 42,490 medical personnel in 18 cities in Henan Province (China) were reviewed and analysed using the convenience sampling method. A questionnaire was employed to address two areas of cognitive status quo (25 items), ie, "general information" and "major public events and rules of the law". Results: More than 90% of medical staff had a good understanding related to knowledge about prevention and control in the pandemic context, as well as their due diligence and legal responsibility for controlling the pandemic and preventing others from being infected. However, 3.47-32.61% of medical staff still had a minimal understanding of a Level-1 response to public health events and its relevant laws and regulations. Conclusion: The response to public health events required strengthening at all levels through promotion and education, by implementing an optimised treatment system and establishing an improved legal mechanism for the treatment of major conditions, such as hierarchical, stratified and triaged infectious diseases.

From Bureaucratic Coordination to a Data-Driven Model: Transformation and Capacity Building of Community-Based Prevention and Control of Public Health Events.

Communities are the first line of defense in responding to major public health events. Taking the community-based prevention and control cases of COVID-19 in China as samples, this paper constructs an analytical framework for the generation of community-based prevention and control capacity of public health events from the perspective of governance elements optimization based on the methods of text analysis and limits-to-growth archetype analysis. According to the research, the community-based prevention and control of public health events realizes the integration of governance elements of key actors through the bureaucratic coordination mode and maximizes the prevention and control efficiency with the primary goal of epidemic prevention and control in a short period of time, which presents a "reinforcing feedback" loop in the "limits-to-growth" model system. However, with the development of the epidemic showing a strong trend of being latent and wide spread, the "reinforcing feedback" from the bureaucratic coordination model on the effect of epidemic prevention and control encounters the "regulatory feedback" that inhibits the growth at the data-driven level. On the basis of discussing the practice of the public health prevention and control mode in the grassroots communities under the established political framework, this paper attempts to construct an institutional reform system from technological governance to technological empowerment, so as to effectively realize the mode transformation of community-based prevention and control of public health events.

WITHDRAWN: Introduction to the special issue on health risk assessment.

Ahead of Print article withdrawn by publisher.