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.

A Study on Predicting Crisis Information Dissemination in Epidemic-level Public Health Events

Crisis information dissemination plays a key role in the development of emergency responses to epidemic-level public health events. Therefore, clarifying the causes of crisis information dissemination and making accurate predictions to effectively control such situations have attracted extensive attention. Based on media richness theory and persuasion theory, this study constructs an index system of crisis information dissemination impact factors from two aspects: the crisis information publisher and the published crisis information content. A multi-layer perceptron is used to analyze the weight of the index system, and the prediction is transformed into a pattern classification problem to test crisis information dissemination. In this study, COVID-19 is considered a representative event. An experiment is conducted to predict the crisis information dissemination of COVID-19 in two megacities. Data related to COVID-19 from these two megacities are acquired from the well-known Chinese social media platform Weibo. The experimental results show that not only the identity but also the social influence of the information publisher has a significant impact on crisis information dissemination in epidemic-level public health events. Furthermore, the proposed model achieves more than 95% test accuracy, precision rate, recall value and f1-score in the prediction task. The study provides decision-making support for government departments and a guide for correctly disseminating crisis information and public opinion during future epidemic-level public health events.

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.

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.

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.

On the improvement of family services in public health events：a qualitative case study based on COVID-19 responses

Objective To understand the status of family services and residents’demands for services in Shanghai in order to construct and improve the key elements of family services in public health events. Methods We used a combining method of individual in-depth interviews and focused group interviews. The informants were domestic and foreign experts in public health, health services, education, safety, etc., community workers and residents. The interview questions were as follow：problems in family services, residents’demands and suggestions for family services, etc. Results We found 7 major family services problems in Shanghai’s response to public health events：The boundary of authorities and responsibilities were not clearly defined between the upper and lower departments. The team construction of public health professions at the community level was flawed. There were miscommunications between upper and lower medical institutions during the epidemic outbreaks. Residents were not aware of the available family services provided by their communities. Unnoticed insanitary spots still existed in public spaces, and the maintenance of residential emergence equipment needs to be strengthened. The public opinion guidance required further strengthening, and the elderly people lack an effective medium for information acquisition. The emergency plan of closed management to solve practical problems after Shanghai’s COVID lockdown was insufficient. The residents’demands included the following 6 aspects：comprehensive family services, supply and guarantee of basic living materials and special materials, professionals providing family services as a means of support, emergency medical services, receiving psychological intervention and understanding knowledge of mental health, security of food and food supply chain security. Conclusion ‘Government led’‘cross-border cooperation’‘clear executive body’and ‘based on the needs of residents’were key factors. Therefore, we suggest family services are included in the normalizing construction of government. © 2022 Fudan University. All rights reserved.

Short-term passenger volume forecast and model analysis of Beijing public transport

The prediction of bus passenger volume is the fundamental research content of bus transfer optimization. In order to get more accurate passenger volume data and improve the utilization efficiency of urban traffic resources, according to randomness, time-varying and uncertainty of public transport passenger volume in Beijing, combined with the current new coronavirus pneumonia epidemic, this paper collected the relevant data of Beijing in the past 40 years, and predicted and analyzed them from four dimensions of public transport, urban scale and residents' economic level, taxi and sudden health events by BP neural network and regression analysis. The results show that BP neural network has good prediction results, and BP neural network is suitable for large sample size, which needs to fit or predict complex nonlinear relationships. © 2021 SPIE

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.

Study on intelligent response of emergency logistics under magnitude outburst public health events based on new generation information technology intelligent facilities and equipment

The concept of intelligent development of the logistics industry has been put forward to promote the deep integration of new generation information technology such as big data, block chain, 5G, artificial intelligence and its intelligent facilities and equipment with logistics activities. While in recent years, the outbreak of the COVID-19 has not only attracted worldwide attention, but also posed a challenge to the emergency logistics guarantee system throughout China in the process of epidemic prevention and control. In this paper, based on the existing research, the mechanism of material circulation under emergency is explored and improved based on blockchain with cryptography and smart contract technologies. After innovation and optimization, the mechanism makes it possible to improve the technology of emergency logistics and the level of deep application of wisdom, providing reasonable suggestions and improvement measures for the future management system. © 2021 IEEE.

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.

Community Intervention System: COVID-19 Control in Inner Mongolia Autonomous Region, China.

The COVID-19 epidemic has caused giant influences on people's life, and China's communities play an important role in dealing with these major public health events (MPHEs). Community as the grassroots autonomous organization has various significant functions in intervening in MPHEs. The community intervention follows a system which directly influences the anti-epidemic effectiveness. To explore the mechanism, we devise a theoretical system for community intervention, mainly consisting of "organizational structure", "functional performance" and "internal and external connections". Questionnaire surveys, the chi-square test, the independent sample T-test, and principal component analysis are used to identify the characteristics of Inner Mongolia Autonomous Region's (Inner Mongolia) community intervention. Through the empirical research, it is verified that the community intervention in MPHEs is the combination of "the structural response of the organization", "the performance of the community's own function", and "the establishment of internal and external connections". The central Inner Mongolia delivers the best performance in community intervention compared to eastern Inner Mongolia and western Inner Mongolia. The urban communities commonly perform better than that in the agricultural and pastoral areas. The built system and findings could provide a guidance for future community to improve its intervention capability.