A crowd clustering prediction and captioning technique for public health emergencies.

The COVID-19 pandemic has come to the end. People have started to consider how quickly different industries can respond to disasters due to this public health emergency. The most noticeable aspect of the epidemic regarding news text generation and social issues is detecting and identifying abnormal crowd gatherings. We suggest a crowd clustering prediction and captioning technique based on a global neural network to detect and caption these scenes rapidly and effectively. We superimpose two long convolution lines for the residual structure, which may produce a broad sensing region and apply our model's fewer parameters to ensure a wide sensing region, less computation, and increased efficiency of our method. After that, we can travel to the areas where people are congregating. So, to produce news material about the present occurrence, we suggest a double-LSTM model. We train and test our upgraded crowds-gathering model using the ShanghaiTech dataset and assess our captioning model on the MSCOCO dataset. The results of the experiment demonstrate that using our strategy can significantly increase the accuracy of the crowd clustering model, as well as minimize MAE and MSE. Our model can produce competitive results for scene captioning compared to previous approaches.

Relation between young children's anger and fathers' mental health during the covid-19 epidemic: Moderating role of gender and child number

The father-child interaction deserves attention during the COVID-19 epidemic. This study administrated the Child Anger Questionnaire and the SCL-90 Symptom Checklist to collect primary data from 1862 fathers of Chinese young children during the COVID-19 outbreak, examined the relation between young children's anger and their fathers' mental health, and verified whether the relation was moderated by the gender or the child number. The results demonstrated that the detection rate of anger among Chinese young children was 60.08%, the scores of SCL-90 factors of their fathers were significantly lower than the Chinese normal adult male norms and those of infant parents, and the anger of young children had a significant effect on their fathers' mental health. Gender and child number moderated this relation. It is of great significance to strengthen the attention to the anger of young children and the mental health of fathers during the period of public health emergencies, and to promote the harmonious interpersonal relationship between young children and their fathers. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

The COVID‐19 pandemic changes citizens' visual aesthetic perceptions and attitudes toward restored landscape in the karst area in China

Landscape change caused by ecological restoration projects in the karst rocky desertification area of southwestern China has presented ecological benefits, yet the visual aesthetic perception of the restored landscape has received less attention. Meanwhile, given the unpredictable worldwide health emergency caused by the COVID‐19 pandemic, it inspired us to be concerned about will citizens' aesthetic perceptions and attitudes to the change of restored landscape from pre‐COVID‐19 to during the outbreak of the COVID‐19 pandemic. Organizing an online survey, we explored citizens' visual aesthetic perceptions and attitudes to natural restored landscape (NRL) and managed restored landscape (MRL) on 757 citizens in Shilin Geopark (in Kunming, China), as well as how citizens' sociocultural backgrounds influence visual aesthetic preference. The results indicated that before the COVID‐19 pandemic, the professionals preferred NRL, while the nonprofessionals presented a higher preference for MRL. However, during the COVID‐19 pandemic, both two groups showed a higher preference for NRL, which implied that the experience of lockdown during the COVID‐19 pandemic might awaken most citizens' preference for the NRL. Among different kinds of restored plant communities, the landscape dominated by shrubs was the most popular. Furthermore, gender, age, career type, education, region, and citizens' visit frequency were significantly correlated with visual aesthetic perceptions before the COVID‐19 pandemic. During the COVID‐19 pandemic, professional background, gender, and age did not show significant impacts on visual aesthetic perceptions anymore. These results highlight the necessity of understanding visual aesthetic perceptions in different sociodemographic groups to encourage natural succession and create a nature‐based restored landscape in the karst area. [ FROM AUTHOR] Copyright of Restoration Ecology is the property of Wiley-Blackwell 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 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 . (Copyright applies to all s.)

A Large-Scale Survey on Perceived Risk, Risk Emotions and Humanistic Care Needs Among Nurses During the Covid-19 Pandemic.

Purpose: The purpose of this study is to understand the risk perception, risk emotions and humanistic care needs of nursing staff during the Novel Coronavirus 2019 (Covid-19) pandemic. Methods: A cross-sectional survey was conducted on the perceived risk, risk emotions and humanistic care needs of 35,068 nurses in 18 cities of the Henan Province, China.We collected a total of 35,188 questionnaires, of which 35,068 were effectively returned, with an effective return rate of 99.7%. The collected data were summarized and statistically analyzed using Excel 97 2003 and IBM SPSS software. Results: Nurses' risk perceptions and emotions vary during the covid-19 pandemic. In order to provide nurses with targeted psychological intervention to prevent nurses from suffering from unhealthy mental states.The results show that the total score of the nurses' risk perceptions of Covid-19 was 3.66 ± 0.39, the highest score of nurses' risk perception part is 5 points, and ≥3 points represent high risk and 88.3% of nurses believed that the Covid-19 risk was high. There were significant differences in the nurses' total perceived risk scores for Covid-19 based on gender, age, prior contact with patients with suspected or confirmed Covid-19 and previous participation in other similar public health emergencies (P < 0.050). Of the nurses included in the study, 44.8% had some level of fear relating to Covid-19 and 35.7% were able to remain calm and objective. There were significant differences in the total scores for risk emotions relating to Covid-19 based on gender, age and prior contact with patients with suspected or confirmed Covid-19 (P < 0.050). Of the nurses included in the study, 84.8% were willing to receive humanistic care and 77.6% of these expected to be provided with humanistic care by institutions in the healthcare sector. Conclusion: Nurses with different basic data have different risk cognition and risk emotions. Different psychological needs should be considered, and targeted multi-sectoral psychological intervention services should be provided to help prevent nurses from developing unhealthy psychological states.

The Early Warning Mechanism of Public Health Emergencies Through Whistleblowing: A Perspective Based on Considering the Uncertainty of Risk Perception.

Purpose: During the early warning period of public health emergencies, the information released by whistleblowers on the risk posed by the given event can reduce uncertainty in the public's risk perception and help governments take timely actions to contain the large-scale dissemination of risk. The purpose of this study is to give full play to whistleblowers and draw attention to the risk events, forming a pluralistic model of the risk governance during the early warning period of public health emergencies. Methods: We construct an evolutionary game model of the early warning of public health emergencies through whistleblowing that involves the government, whistleblowers, and the public, discussing the mechanism of interaction between these subjects under the uncertainty of risk perception. Furthermore, we use numerical simulations to analyze the influence of changes in the relevant parameters on the evolutionary trajectory of the subjects' behaviors. Results: The results of the research are obtained by numerical simulation of the evolutionary game model. The results show that the public's cooperation with the government encourages the latter to take a positive guidance strategy. Increasing the reward for whistleblowers within an acceptable cost, strengthening the propaganda of the mechanism and the higher level of risk perception of the government and whistleblowers will promote whistleblowers' vocalization actively. When the government's reward for whistleblowers is lower, the whistleblowers choose negative vocalization with the improvement of the public's risk perception. If there is no mandatory guidance from the government at this point, the public is prone to passively cooperating with the government owing to a lack of risk-related information. Conclusion: Establishing an early warning mechanism through whistleblowing is important for containing risk in the early warning period of public health emergencies. Building the whistleblowing mechanism in daily work can improve the effectiveness of the mechanism and enhance the public's risk perception better when the public health emergencies arise.

Multimodal negative sentiment recognition of online public opinion on public health emergencies based on graph convolutional networks and ensemble learning

To improve the effect of multimodal negative sentiment recognition of online public opinion on public health emergencies, we constructed a novel multimodal fine-grained negative sentiment recognition model based on graph convolutional networks (GCN) and ensemble learning. This model comprises BERT and ViT-based multimodal feature representation, GCN-based feature fusion, multiple classifiers, and ensemble learning-based decision fusion. Firstly, the image-text data about COVID-19 is collected from Sina Weibo, and the text and image features are extracted through BERT and ViT, respectively. Secondly, the image-text fused features are generated through GCN in the constructed microblog graph. Finally, AdaBoost is trained to decide the final sentiments recognized by the best classifiers in image, text, and image-text fused features. The results show that the F1-score of this model is 84.13% in sentiment polarity recognition and 82.06% in fine-grained negative sentiment recognition, improved by 4.13% and 7.55% compared to the optimal recognition effect of image-text feature fusion, respectively. © 2023 Elsevier Ltd

Research on Distribution Route of Emergency Medical Materials Based on Two-stage Model

Aiming at the problem of improper dispatch of emergency medical materials under public health emergencies, a two-stage model of emergency medical materials distribution path was constructed. In the first stage, considering the distribution characteristics of emergency medical materials and the fairness and efficiency of the three-level logistics network of "distribution center-distribution cen-ter-designated hospital',the matching model of emergency medical materials was established. In the second stage, based on the traditional distribution path model,the problem of deterioration of special materials was considered, and the path planning model of emergency medical materials was established with the sum of driving distance, time penalty and deterioration penalty as the goal. The NSGA- II algorithm and LKH solver were used to solve the two-stage model, and the actual situation during the COVID~19 epidemic was taken as an example to verify it. The results show that the two-stage model and the algorithm adopted can well balance the two goals of fairness and efficiency, so as to provide a reasonable distribution plan according to the supply of emergency medical resources and realize the rapid transfer of emergency medical materials. © 2023 Wuhan University of Technology. All rights reserved.

The Importance of Vertical and Horizontal Collaboration: United States' Response to COVID-19 Pandemic

COVID-19 has devastated the global community at an alarming rate. Conventional approaches like command and control are ineffective to respond to this pandemic. The complex and interdependent nature of the pandemic demands collaborative efforts among actors across diverse segments and different levels of government. Collaboration is critical during this pandemic because it can enable a more coordinated response, resources can be shared, trust among the parties can be enhanced, and duplication of efforts can be minimized. In this commentary, drawing on the literature on collaboration, we discuss the importance of vertical and horizontal collaboration by examining the U.S. response to COVID-19. This commentary underscores the importance of vertical and horizontal collaboration among all levels of government, private entities, and nonprofit organizations in effectively responding to COVID-19 and ensuring the health and safety of Americans. This commentary concludes by making recommendations for improving both vertical and horizontal collaboration during the current pandemic and future public health emergencies.

Research on the Construction Scheme of Wuhan Emergency Logistics System Under the Background of Public Health Emergencies

In order to improve the emergency logistics support capacity of Wuhan city and build a transportation power pilot, based on the background of public health emergencies and on the basis of comprehensively summarizing the experience, practices and prominent problems of emergency logistics support work of COVID-19 in Wuhan City, this paper studies from the aspects of development foundation, overall thinking and main tasks, Put forward the systematic framework and specific implementation path of emergency logistics system construction of "building three guarantee systems of reserve facilities, transportation capacity and command and dispatching, and building an information platform”. At the same time, in the construction of emergency logistics command and coordination information platform, K-means clustering method is adopted to achieve scientific matching and efficient connection between emergency materials transit stations and demand points. For other cities It is of practical significance to improve the regional emergency logistics system. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Public discourse and sentiment during Mpox outbreak: an analysis using natural language processing.

OBJECTIVES: Mpox has been declared a Public Health Emergency of International Concern by the World Health Organization on July 23, 2022. Since early May 2022, Mpox has been continuously reported in several endemic countries with alarming death rates. This led to several discussions and deliberations on the Mpox virus among the general public through social media and platforms such as health forums. This study proposes natural language processing techniques such as topic modeling to unearth the general public's perspectives and sentiments on growing Mpox cases worldwide. STUDY DESIGN: This was a detailed qualitative study using natural language processing on the user-generated comments from social media. METHODS: A detailed analysis using topic modeling and sentiment analysis on Reddit comments (n = 289,073) that were posted between June 1 and August 5, 2022, was conducted. While the topic modeling was used to infer major themes related to the health emergency and user concerns, the sentiment analysis was conducted to see how the general public responded to different aspects of the outbreak. RESULTS: The results revealed several interesting and useful themes, such as Mpox symptoms, Mpox transmission, international travel, government interventions, and homophobia from the user-generated contents. The results further confirm that there are many stigmas and fear of the unknown nature of the Mpox virus, which is prevalent in almost all topics and themes unearthed. CONCLUSIONS: Analyzing public discourse and sentiments toward health emergencies and disease outbreaks is highly important. The insights that could be leveraged from the user-generated comments from public forums such as social media may be important for community health intervention programs and infodemiology researchers. The findings from this study effectively analyzed the public perceptions that may enable quantifying the effectiveness of measures imposed by governmental administrations. The themes unearthed may also benefit health policy researchers and decision-makers to make informed and data-driven decisions.

Transformative dimensions of resilience and brittleness during health systems' collapse: a case study in Brazil using the Functional Resonance Analysis Method.

BACKGROUND: As health systems struggle to tackle the spread of Covid-19, resilience becomes an especially relevant attribute and research topic. More than strength or preparedness, to perform resiliently to emerging shocks, health systems must develop specific abilities that aim to increase their potential to adapt to extraordinary situations while maintaining their regular functioning. Brazil has been one of the most affected countries during the pandemic. In January 2021, the Amazonas state's health system collapsed, especially in the city of Manaus, where acute Covid-19 patients died due to scarcity of medical supplies for respiratory therapy. METHODS: This paper explores the case of the health system's collapse in Manaus to uncover the elements that prevented the system from performing resiliently to the pandemic, by carrying out a grounded-based systems analysis of the performance of health authorities in Brazil using the Functional Resonance Analysis Method. The major source of information for this study was the reports from the congressional investigation carried out to unveil the Brazilian response to the pandemic. RESULTS: Poor cohesion between the different levels of government disrupted essential functions for managing the pandemic. Moreover, the political agenda interfered in the abilities of the system to monitor, respond, anticipate, and learn, essential aspects of resilient performance. CONCLUSIONS: Through a systems analysis approach, this study describes the implicit strategy of "living with Covid-19", and an in-depth view of the measures that hampered the resilience of the Brazilian health system to the spread of Covid-19.

Danger control and fear control during public health emergencies: Considering the roles of fear and hope in the EPPM across different levels of trust.

Public health emergencies pose considerable threats to global health and safety. The control of these emergencies requires the efforts of healthcare professionals and calls for the public to take protective actions. The present study not only puts fear back in the extended parallel process model (EPPM) but also considers another similarly productive emotion: hope. We examined the mechanisms behind the effects of four cognitive perceptions on protective actions (i.e., danger control) and information avoidance (i.e., fear control). A national online survey was conducted with 1676 participants during the outbreak of COVID-19 in China from February 1 to 29, 2020. The results revealed that perceived severity and susceptibility could lead to fear, positively affecting protective actions. On the other hand, perceived response efficacy and self-efficacy induced hope, which was positively associated with protective actions but negatively associated with information avoidance. Furthermore, the mechanisms behind the relationships among cognitions, emotions, and behaviors varied across levels of trust in healthcare systems.

Burnout among healthcare workers during public health emergencies in sub-Saharan Africa: Contributing factors, effects, and prevention measures

Countries in sub-Saharan Africa (SSA) are expected to experience more public health emergencies (PHEs) in the near future. The fragile health systems emanating from poor health governance, inadequate health infrastructure, shortage of healthcare workers (HCWs), inadequate essential medicines and technology, and limited funding will make responses to these outbreaks slow and ineffective as seen with the COVID-19 pandemic. The workload for HCWs will grow due to these PHEs, which will increase the likelihood that they may experience burnout. This narrative review loosely followed the guidelines provided in the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) statement. Google Scholar, PubMed, and ScienceDirect databases were used to retrieve relevant articles. Two reviewers assessed the titles and abstracts of all identified articles and extracted the data independently and compared their results thereafter. The causes of burnout among HCWs, its impact on patients, HCWs, and healthcare institutions, as well as preventive steps that should be taken to safeguard HCWs from burnout, are all covered in this article.Copyright © 2023 The Author(s)

Engaging Stakeholders to Improve Care for Adults with Complex Health and Social Needs during a Public Health Emergency

A public health emergency such as the COVID-19 pandemic exacerbates the already challenging environment facing adults with complex health and social needs (ACHSN) and the systems of care that support them. Between September 2020 and April 2021, 51 participants representing six different stakeholder groups were engaged using interviews, asynchronous Delphi surveys, and a virtual stakeholder meeting to learn from their perspectives about the greatest needs and possible solutions affecting ACHSN populations during the COVID-19 pandemic and to develop a prioritized research agenda to improve care for ACHSN populations. Mental health and financial concerns were strongly and consistently endorsed as the most important issues. Future research priorities identified included both macro systems research such as testing alternative state-level models of payment for physical and mental health care and research that could be conducted at a local level (such as identifying needs for patient care navigation services and testing models of care navigation).

Predicting the antecedents of discontinuous usage intention of mobile government social media during public health emergencies

Mobile government social media (GSM) plays a crucial role in facilitating government–citizen crisis communication and pandemic-related information delivery during public health emergencies. However, the lack of interaction and supervision, as well as deviations from the government's crisis communication position, can lead to some mobile GSM accounts gradually becoming "zombie” and "empty shell” accounts, resulting in high discontinuance rates. To investigate the underlying mechanism of mobile GSM discontinuous usage intention during public health emergencies, this study utilized hybrid structural equation modeling with an artificial neural network approach to estimate linear and non-linear relations. Data were collected from 748 Chinese mobile GSM users during the COVID-19 pandemic from August to September 2021. The findings revealed that perceived risks and barriers, information overload, information irrelevance, and social media fatigue significantly affected mobile GSM users' discontinuous usage intentions during public health emergencies, while perceived internet censorship and information equivocality did not. The hybrid method predicted mobile GSM discontinuous usage intention during public health emergencies with an accuracy of 87.9%. This study provides a holistic understanding of the antecedents of mobile GSM discontinuous usage intention during public health emergencies. Practical insights were presented for mobile GSM managers to avoid user churn during public health emergencies. © 2023 Elsevier Ltd

Coordinated location-allocation of cruise ship emergency supplies under public health emergencies

For the rapid development of the cruise industry, the cruise disaster relief supply chain has attracted extensive attention, especially because COVID-19 cases on international cruise ships occurred. In this paper, we propose an idea of coordination layout for cruise ship emergency supplies, the problem optimized two objective functions of maximizing coverage satisfaction and minimizing the total cost, addressing the low efficiency of resource utilization at the same. By applying to cruise ship emergency supplies layout of Northeast Asia cruise port group system, using expert scoring method and AHP to evaluate cruise port security vulnerability. The NSGA-II algorithm is used to solve the multi-objective programming model. A numerical example shows that the optimization design model and method are valid and feasible, and the algorithm is efficient for solving the above collaborative location and allocation problem of sectional reserves, which can also offer a variety of decision-making options. © 2023 the Author(s), licensee AIMS Press

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.

Systematic evaluation of emergency management capacity for rural public health emergencies

Rural areas' emergency response capacities are generally weaker when compared to tier one cities and this can have an adverse effect on residents' livelihood and health. Evaluation of rural emergency management is of great significance for improving the rural emergency management capacity. This paper innovatively constructs an evaluation system for the emergency management capabilities with the rural public health emergencies, which includes four dimensions: emergency subject, mechanism, resources and concept. A Projection Pursuit model for objectively processing high-dimensional is constructed, and data from 2010 to 2020 in the rural areas of Xiantao City are selected as samples for empirical research. The results show that: (1) Each dimension of emergency management of public health emergencies contributes more than 20% to the ability. Compared with the other three dimensions, contribution of the emergency concept accounted for the lowest proportion, which was 21.69%, and indicates that this dimension is the key factor restricting the improvement of the emergency management capabilities. (2) From 2010 to 2019, the average annual growth rate of comprehensive emergency management capacity in the rural areas of Xiantao City was 14.9%, and by 2020, the rural emergency management capacity, impacted by the COVID-19 epidemic, grew very rapidly with an annual growth rate of 33.8%. (3) The development of an effective rural emergency management capacity system is not sufficient and unbalanced, which leads to the "barrel effect.” This study can provide theoretical guidelines for the evaluation of rural emergency management capabilities, and provide methodological support for similar research in other regions. © 2022 Elsevier Ltd

Research on household emergency supplies storage from the theory of planned behavior and intention-behavior gap in the context of COVID-19.

Introduction: In the context of COVID-19 epidemic, household-level emergency supplies are becoming a critical link in the national emergency response mechanism for public health emergencies. The main goal of this study is to analyze the forming process of household emergency supplies storage intention and behavior based on the theory of planned behavior. Methods: A total of 486 valid questionnaires were obtained from China and analyzed using structural equation modeling. Results: The study found that subjective norms and perceived behavioral control had a positive impact on residents' intention to store emergency supplies, while attitudes did not play a significant role. Community institutional trust and community network play significant moderating roles in the transformation from intentions to behaviors. Discussion: This study explored the influencing factors of residents' household emergency supplies storage, and introduced community institutional trust and community network as moderating variables to analyze the process of transformation of residents' household emergency supplies storage intentions to behaviors from the perspective of community situation, and initially constructed a two-stage integration model including intention formation and behavior transformation. By analyzing the forming process of household emergency supplies behavior, this paper revealed the effective paths for the formation of household emergency supplies storage intention, and put forward policy suggestions from the government and community levels.