Location method for emergency rescue node on expressways based on spatio-temporal characteristics of vehicle operation.

Expressway networks are continuously developing and emergency rescue demand is increasing proportionately. The location of expressway emergency rescue nodes needs refinement to meet changing requirements. In this study, the expressway was modeled as an expressway network. The differences in the origin destination (OD) distribution matrices for working days and major holidays were used as the bases for determining the need for temporary emergency rescue nodes. Overlapping and non-overlapping community detection algorithms were used to extract the distribution characteristics of OD during both day categories. These distributions were used to determine permanent and temporary emergency rescue sites. In this study, we considered the differences in traffic volume, distance, and impact of four vehicle types on traffic accidents to select the location of emergency rescue nodes, and allocate emergency resources. An emergency rescue node selection model for an expressway network was established based on spatio-temporal characteristics. The results based on a regional example determined that 22 permanent and 25 temporary emergency rescue nodes were appropriate. The average rescue time for traffic accidents during working days and major holidays compared to the P-center location model, was reduced by approximately 27.08% and 6.70%, respectively. The coefficient of variation of emergency rescue time was reduced by approximately 28.22% and 21.41%, respectively. The results indicated that the model satisfied the expressway emergency rescue demand requirements, and improved the rationality of the rescue center node layout.

Research on the water-ground multimodal transport emergency scheduling model and decision-making method considering the actual road network inundation situation.

As urbanization continues to accelerate worldwide, urban flooding is becoming increasingly destructive, making it important to improve emergency scheduling capabilities. Compared to other scheduling problems, the urban flood emergency rescue scheduling problem is more complicated. Considering the impact of a disaster on the road network passability, a single type of vehicle cannot complete all rescue tasks. A reasonable combination of multiple vehicle types for cooperative rescue can improve the efficiency of rescue tasks. This study focuses on the urban flood emergency rescue scheduling problem considering the actual road network inundation situation. First, the progress and shortcomings of related research are analyzed. Then, a four-level emergency transportation network based on the collaborative water-ground multimodal transport transshipment mode is established. It is shown that the transshipment points have random locations and quantities according to the actual inundation situation. Subsequently, an interactive model based on hierarchical optimization is constructed considering the travel length, travel time, and waiting time as hierarchical optimization objectives. Next, an improved A* algorithm based on the quantity of specific extension nodes is proposed, and a scheduling scheme decision-making algorithm is proposed based on the improved A* and greedy algorithms. Finally, the proposed decision-making algorithm is applied in a practical example for solving and comparative analysis, and the results show that the improved A* algorithm is faster and more accurate. The results also verify the effectiveness of the scheduling model and decision-making algorithm. Finally, a scheduling scheme with the shortest travel time for the proposed emergency scheduling problem is obtained.

Composition and influencing factors of professionals' capacity in public health emergency rescues: a qualitative study.

Objective: To explore the composition and influencing factors of professionals' capacity in public health emergency rescues. Methods: A descriptive qualitative design was used in this study. Medical workers, managers, and members of an emergency rescue team in Hangzhou, Zhejiang, were recruited for participation through a purposive sampling method. The data were collected using semi-structured interviews and analyzed using a conventional content analysis method. Findings: A total of 2 themes and 13 sub-themes emerged from the analysis: ability composition (knowledge reserve, early warning assessment, information reporting, emergency response, self-protection, personal ability, coordination and cooperation, health education) and influencing factors (educational background, region, experience, hospital level, human resources, and financial investment). Conclusion: These findings offer a basis for the construction of a related indicator system and provide a reference for relevant departments to further optimize their emergency education and training, strengthen their emergency drills, and improve their emergency rescue abilities. The findings indicate that it is necessary to pay attention to the construction of an emergency rescue team, adjust the ratio of personnel, improve their remuneration, and promote work enthusiasm to improve the emergency rescue ability of an organization.

Road accidents on Indian National highways, ambulance reachability and transportation of injured to trauma facility: Survey-based introspection of golden hour.

Background: The transportation system plays a crucial role in the context of socioeconomic development, whereas the highway infrastructure acts as a base for the transportation system. In recent years, a rich impetus has been given to the development of road infrastructure by Indian governance. There is a need to introspect how well the prevailing highway infrastructure is equipped with emergency rescue management during road accidents. Lack of ambulance service and trauma facilities along the highways results in a steady loss of lives and injuries and increases people's exposure to risks. Objective: This study aims to determine the response time of ambulance reachability to the accident spot on Indian national highways associated with heavy commercial transportation. Also, determining the time to transport the injured to the nearest trauma facility is another factor included as an objective in this investigation. Methods: The study adopted survey-based research, whereby the variables in the questionnaire were designed to record and assess the time for an ambulance to reach the accident spot and, from there, to transport the injured to the trauma management facility on Indian highways. Two hundred twenty-five participants who were either victims/relatives of victims or those involved in the rescue of the injured have participated in the survey. The dates of the accident events were 2017 and 2022. Results: The survey resulted in the identification of two categories of highway accidents. The first category of accidents happened on the highways near city limits/dense settlements, and the second category occurred on the core highways. The percentage of accidents caused on the highways either adjacent to or passing through the city limits/dense settlements was reported to be higher than the accidents on the core highways. Ninety percent of the participants reported successful contact with the ambulance call/service centre, but only ~75% success rate exists for ambulances to reach the accident scene. On the core highways, the time taken for the ambulance to arrive at the accident scene is 25-35 minutes. The results from the survey ascertained that the patients were prioritised for treatment in the nearest hospitals (irrespective of having a trauma facility) at a distance of ~12-20 km, for which the time taken is ~15-25 minutes. Importantly, from the interviews, it is understood that in many cases, these hospitals have further referred to specialty hospitals located in nearby cities or trauma centres with greater facilities. Occasions exist where the injured were taken directly to hospitals 30-40 km from the accident spot, for which the time was more than 40 minutes. Conclusions: The results provide evidence that in either of the accident cases on the highways that are adjacent to/passing through the city limits or on the core highways, the total time for emergency care accessibility is nearly 60 minutes or greater; this implies that in the majority of cases, there is very meagre time left to provide emergency medical care to the needy and injured on the Indian highways to abide by the concept of golden hour. Plausible reforms backed by technology for enabling highways into 'emergency rescuable highways' are highly needed to guarantee a safer and more sustainable transportation system in India.

Comprehensive risk management of health, safety and environment for social emergency rescue organization.

During the rescue and relief work of social emergency rescue organizations, the rescue team members face significant responsibilities and risks. Social rescue organizations need to improve funding, available equipment and other aspects compared with professional emergency rescue organizations. Moreover, the development of rescue levels among emergency rescue organizations is unbalanced, and rescue teams'' comprehensive quality and skills are uneven. To understand the safety risks of these organizations before the implementation of rescue and relief tasks, the task situation and its characteristics must be assessed timely, and safety must be ensured under the premise of efficient completion of the rescue missions. Based on the theory of safety system engineering and health, safety, and environment risk management, a risk management model is established to achieve a closed-loop risk management. The risk factors in rescue and relief tasks of social rescue organizations were identified, and a health, safety and environment risk assessment index system and grading standard were established. A gray cloud model was applied for the evaluation method, the problems of information randomness, risk-level boundary fuzziness and randomness of the evaluation index data were effectively solved. Subsequently, a risk hierarchical early warning and control strategies were proposed to allocate emergency resources rationally. The proposed method was verified and found to have universal applicability and strong practicability.

Handling health emergency in public hospitals / 现代医院

Public hospitals play a dominant role in providing medical services.Meanwhile,they are also critical for un-dertaking missions to handle health emergencies.This paper analyzes the necessity,current situation,and existing weaknesses of the health emergency capacity of public hospitals.It also conducts a comparative study of the emergency response mechanisms of foreign medical institutions.This paper aims to explore a well-developed design for health emergency in public hospitals that is suitable for China's medical conditions and to provide a feasible model for promoting high-quality health emergency management.

Development and application of key nursing technique training platform for nuclear,chemical and biological rescue / 医疗卫生装备

Objective To design a key nursing technique training platform for emergency response caregivers of nuclear,chemical and biological rescue.Methods The platform designed with B/S architecture used C# language for developing the server,HTML5 technology for building the user interface and JavaScript language for writing the logic of interaction,which was composed of three functional modules for video classroom,post-test and simulation training.Results The platform deve-loped realized training and assessment of key nursing techniques for nuclear,chemical and biological rescue without the restriction by time,space and teacher,and was of significance for enhancing the training efficacy.Conclusion The platform developed meets the needs of emergency response caregivers for key nursing techniques of nuclear,chemical and biological rescue.[Chinese Medical Equipment Journal,2024,45(1):37-41]

Measuring the Capability of Biological Incident Rescue Teams in China: A Fuzzy Analytic Hierarchy Process Based Model - Tianjin Municipality, China, 2022-2023.

Introduction: The swift advancement of biotechnology has presented both opportunities and challenges to our society, thrusting biosafety to the forefront of concern. Consequently, the evaluation of rescue capabilities in the event of a bioterrorism incident becomes of paramount importance. Currently, there is a notable absence of specific measurement criteria and a comprehensive evaluation system. This paper aims to establish a systematic approach towards assessing emergency response capabilities in the context of bioterrorism incidents. Methods: We employed an enhanced Delphi methodology to establish an index evaluation framework. Subsequently, the weight of the judgment matrix was ascertained via the application of the fuzzy comprehensive evaluation approach. This led to the creation of a fuzzy comprehensive evaluation model for bioterrorism rescue capability. Results: A modified Delphi study was conducted involving 11 experts across two rounds, achieving a response rate of 100%. The Kendall coordination coefficients recorded in the first and second rounds were 0.303 and 0.632, respectively (P<0.05). Upon comprehensive analysis involving score, coefficient of variation, and full score ratio, we distinguished five primary indicators and 25 secondary indicators. Subsequently, an evaluation model was developed based on the Analytic Hierarchy Process (AHP) tailored to assess the response to a rescue from bioterrorism. Discussion: The expert panel confirmed consensus on all aspects of the model, validating its comprehensive content. The succeeding course of action involves converting the assessment model to a measurable scale, affirming its functionality, and implementing it in practical evaluation tasks to further enhance the capabilities of the biological incident rescue team.

Effect of Polydopamine/Sodium Dodecyl Sulfate Modified Halloysite on the Microstructure and Permeability of a Polyamide Forward Osmosis Membrane.

Mine water cannot be directly consumed by trapped people when a mine collapses, so it is difficult for people to carry out emergency rescues to ensure their safety. Therefore, a water bag made of a forward osmosis (FO) membrane has been designed that can efficiently filter coal mine water to meet the urgent needs of emergency rescue. Before interfacial polymerization (IP), sodium-dodecyl-sulfate-modified halloysite (SDS-HNT) was added to an MPD aqueous solution to prepare an SDS-HNT polyamide active layer, and then the prepared membrane was placed into a polydopamine (PDA) solution formed by the self-polymerization of dopamine and a PDA/SDS-HNT composite film was prepared. The results showed that the original ridge-valley structure of the polyamide membrane was transformed to a rod-, circular-, and blade-like structure by the addition of SDS-HNTs. Subsequently, a dense PDA nanoparticle layer was formed on the modified membrane. The polyamide/polysulfone forward osmosis membrane modified by co-doping of PDA and SDS-HNTs displayed both the best water flux and rejection rate, confirming the synergistic effect of compound modification. Therefore, the high-performance permeability of the polyamide membrane modified by SDS-HNTs and PDA provides great convenience for the emergency filtration of coal mine water, and also has potential applications in wastewater treatment and seawater desalination.

A Study on Site Selection for Regional Air Rescue Centers Based on Multi-Objective Jellyfish Search Algorithm.

In recent years, air emergency rescue capabilities have become increasingly important as an indicator of national comprehensive strength and development status. Air emergency rescue performs an indispensable role in addressing social emergencies by virtue of its fast response capabilities and extensive coverage. This vital aspect of emergency response ensures the timely deployment of rescue personnel and resources, enabling efficient operations in diverse and often challenging environments. To enhance regional emergency response capabilities, this paper presents a novel siting model that overcomes the limitation of single-objective approaches by integrating multiple objectives and considering the synergistic effects of network nodes, and the corresponding efficient solving algorithm is designed for this model. First, a multi-objective optimization function is established that fully incorporates the construction cost of the rescue station, response time, and radiation range. A radiation function is developed to evaluate the degree of radiation for each candidate airport. Second, the multi-objective jellyfish search algorithm (MOJS) is employed to search for Pareto optimal solutions of the model using MATLAB tools. Finally, the proposed algorithm is applied to analyze and verify the site selection for a regional air emergency rescue center in a certain region of China, and ArcGIS tools are used to draw the site selection results separately by prioritizing the construction cost under different numbers of site selection points. The results demonstrate that the proposed model can achieve the desired site selection goals, thus providing a feasible and accurate method for future air emergency rescue station selection problems.

Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach.

In recent years, coronavirus disease 2019 (COVID-19) has been a severe issue the world faces. Emergency rescue networks concerning the distribution of relief materials have gained extensive attention to tackle COVID-19 and related emergency issues. However, it is challenging to establish reliable and efficient emergency rescue networks due to information asymmetry and lack of trust among different rescue stations. In this work, we propose blockchain-based emergency rescue networks to track every transaction of the relief materials reliably and make decisions to deliver relief materials efficiently. More specifically, we propose a hybrid blockchain architecture that employs on-chain data verification to authenticate data records and off-chain data storage to reduce storage overhead. Furthermore, we propose a fireworks algorithm to efficiently calculate the optimal allocation strategies for relief materials. The algorithm provides chaotic random screening and node request guarantee techniques with good convergence. The simulation results show that integrating blockchain technology and the fireworks algorithm can significantly improve relief materials' operation efficiency and distribution quality.

Robust hydrogel adhesives for emergency rescue and gastric perforation repair.

Development of biocompatible hydrogel adhesives with robust tissue adhesion to realize instant hemorrhage control and injury sealing, especially for emergency rescue and tissue repair, is still challenging. Herein, we report a potent hydrogel adhesive by free radical polymerization of N-acryloyl aspartic acid (AASP) in a facile and straightforward way. Through delicate adjustment of steric hindrance, the synergistic effect between interface interactions and cohesion energy can be achieved in PAASP hydrogel verified by X-ray photoelectron spectroscopy (XPS) analysis and simulation calculation compared to poly (N-acryloyl glutamic acid) (PAGLU) and poly (N-acryloyl amidomalonic acid) (PAAMI) hydrogels. The adhesion strength of the PAASP hydrogel could reach 120 kPa to firmly seal the broken organs to withstand the external force with persistent stability under physiological conditions, and rapid hemostasis in different hemorrhage models on mice is achieved using PAASP hydrogel as physical barrier. Furthermore, the paper-based Fe3+ transfer printing method is applied to construct PAASP-based Janus hydrogel patch with both adhesive and non-adhesive surfaces, by which simultaneous wound healing and postoperative anti-adhesion can be realized in gastric perforation model on mice. This advanced hydrogel may show vast potential as bio-adhesives for emergency rescue and tissue/organ repair.

Development status of UAV and its application in aviation emergency rescue / 医疗卫生装备

The present situation of UAV in the world was introduced,and its application was described in disaster relief,medical rescue and aerial search and rescue.The problems and challenges of UAV were analyzed in terms of safety and tech-nology.The future research directions of UAV were proposed for aviation emergency rescue.[Chinese Medical Equipment Journal,2023,44(10):108-113]

Emergency Response Resource Allocation in Sparse Network Using Improved Particle Swarm Optimization.

Western China is a sparsely populated area with dispersed transportation infrastructure, making it challenging to meet people's accessibility and mobility requirements. Rescue efficiency in sparse networks is severely hampered by the difficulty rescue teams have in getting to the scene of abrupt traffic accidents. This paper develops a layout optimization model for multiple rescue points to address this issue, suggests an improved particle swarm algorithm by including a variation that can reduce optimization time and avoid the disadvantage of precocity, and designs a MATLAB program using an adaptive variation algorithm. The proposed approach increases the effectiveness of rescue in a sparse network and optimizes the distribution of emergency resources.

[Research progress on the occupational health and personal protection of emergency responders].

To meet the requirement from the economy and society, China's emergency rescue has been developing towards specialization and professionalization. The working environment for emergency responders is special accompanying with tremendous challenges and uncertainties. To promote the research on occupational health and personal protection is an important guarantee for the workers in China to realize the goal of "decent work". This paper reviews the hazards that affect the occupational health of emergency rescue workers, the research progress of adverse outcomes caused from exposure to these hazards, and the related development issues of personal protection. In order to ensure the safety and health of emergency rescue workers, the direction of further research on occupational health of emergency rescue workers is put forward.

How to Improve the Cooperation Mechanism of Emergency Rescue and Optimize the Cooperation Strategy in China: A Tripartite Evolutionary Game Model.

To reveal the interaction and influence mechanism between emergency rescue entities, and to explore and optimize a cooperation mechanism of emergency rescue entities, a tripartite evolutionary game model of emergency rescue cooperation based on government rescue teams, social emergency organizations, and government support institutions was constructed. The stability of each game subject's strategy choice was explored. Simulation analysis was applied to investigate the influence mechanism of key parameters on the evolution of the game subject's strategy combination. The research results show that government rescue teams, social emergency organizations, and government support institutions have consistent political demands and rescue targets in emergency rescue cooperation. The game subjects are driving forces for each other to choose positive strategies. The game evolution process of the emergency cooperation model shows a "mobilization-coordination" feature. At the same time, the emergency capital stock formed based on trust relationships, information matching, and institutional norms between game subjects can promote the evolution of the game system toward (1,1,1). In addition, for government organizations with limited emergency resources, the average allocation of emergency resources is not the optimal solution for emergency rescue efficiency. However, it is easier to achieve the overall target of emergency rescue cooperation by investing limited emergency resources in key variables that match the on-site situation. On this basis, combined with the practice of emergency rescues in emergencies, countermeasures and solutions are proposed to optimize the mechanism and improve the efficiency of emergency rescue cooperation.

[Development and validation of a course concept for Tactical Medical Mining Rescue : Standardized training curriculum for mine rescue teams]. / Entwicklung und Validierung eines Kurskonzepts zur medizinisch-taktischen Rettung unter Tage : Standardisiertes Ausbildungscurriculum für Grubenwehren.

BACKGROUND: Structural changes in modern mining industry increase the potential for medical emergencies. Furthermore, rescue times in mining are prolonged and public medical resources are not consistently available. OBJECTIVES: We sought to train mine rescue brigade lay people to cover medical emergencies in mining. MATERIALS AND METHODS: A standardized tactical-medical approach including specific equipment was developed and taught in a didactically optimized way in 16 lessons. Objective Structured Practical Examinations (OSPE) were conducted in 3 groups of 4 mine rescue personnel and compared to the identical exam of the reference group (17 paramedics of different educational and experience levels). RESULTS: The tactical-medical scheme includes vital functions and body checks, advanced life support, nasal and intraosseous drug administration, airway management, thoracocentesis, bleeding control, tourniquet, fracture repositioning, splinting and transport bedding. In OSPE evaluation, the scores of the trained mine rescue personnel (mean [M] = 3.42, 95% confidence interval [CI95%] = [3.24; 3.60]) were statistically equal to those of advanced paramedics (M = 3.28, CI95% = [3.09; 3.46]), but much better than basic German paramedic level (M = 2.43, CI95% = [2.10; 2.77]). Competency retention of mine rescue personnel remained on the same level after a period of 6 months without further training (M = 3.54, CI95% = [3.31; 3.73]). CONCLUSION: The competency level after the Tactical Mining Rescue Course is comparable to the advanced paramedics level in the spectrum of competencies addressed. Medical lay people can be trained to deliver an acceptable treatment level within a clearly defined treatment algorithm, and thus potentially close the gap towards professional medical emergency rescue in mining.

Psychological crisis intervention for emergency rescue workers during major nuclear power plant accident / 中国辐射卫生

The nuclear accidents in Chernobyl and Fukushima had great impacts on the mental health of emergency rescue workers, who experienced a series of psychological problems shared by the accident victims. This paper analyzes the psychological symptoms suffered by emergency rescue workers in Chernobyl and Fukushima nuclear accidents, as well as the psychological crisis interventions for rescue personnel involved in major natural disasters and pandemics. Based on the special situations faced by emergency rescue workers in nuclear accidents, we propose psychological crisis interventions for rescue personnel during major nuclear accidents. These interventions include mental health assessment and training before accident, psychological assistance, self-adjustment, and crisis intervention during accident, and long-term psychological assistance after accident. The psychological impacts on emergency rescue workers can be reduced by effective psychological interventions.

Investigation on the knowledge， attitude and behavior of medical staff in emergency rescue for public health emergencies under regular pandemic prevention and control / 上海预防医学

ObjectiveTo investigate the status quo of emergency rescue for public health emergencies by medical staff under regular pandemic prevention and control， analyze its influencing factors， and provide evidence for formulating intervention measures. MethodsAn online questionnaire was conducted among the medical staff of Jinshan District public medical institutions， and the possible influencing factors were analyzed by multiple linear stepwise regression analysis. The questionnaire included general information and knowledge， attitude， and behavior of emergency rescue. ResultsA total of 1，614 valid questionnaires were collected. The total average score of emergency rescue performance was （4.01±0.83）， which was at a high level. The average scores of emergency rescue knowledge and attitude were （4.07±0.80） and （4.21±0.70） respectively， which were at a high level， and the average scores of emergency rescue behavior were （3.25±1.23）， which was at a medium level. Regression analysis， age， department， occupation， hospital level， whether to participate in emergency training， whether to participate in emergency drills were the main influencing factors of emergency rescue knowledge and practice （P<0.05）. ConclusionUnder the situation of major public health emergencies， the knowledge， attitude and practice of emergency rescue of medical personnel are generally at a good level， and the behavior of emergency rescue is at a medium level. Emergency rescue training and drills should be strengthened for medical personnel of different ages， occupations， departments， levels of hospitals， and sections.

Time phased scheduling and Disease grading management to achieve efficient rescue of batches of COVID-19 infected patients in shelter hospital / 中华急诊医学杂志

Objective:To introduce how to quickly set up a doctor team to achieve efficient treatment of batchs COVID-19 patients in Changchun GongTi shelter hospital.Methods:A cross-sectional study was conducted to analyze the basic situation of the doctors who supported the Changchun Gongti shelter hospital. The workload is the total number of patients from April 3 to 28, 2022. At the beginning of the task, the first week and the third week of the task, the five point scoring method was used to reflect the doctor's physical and mental state, stress state and rescue achievement. The time phased scheduling and disease grading management were fully implemented after 10 days of operation in the shelter. The doctors' ward round efficiency and self scoring changes before and after the implementation of the plan were compared, and the rescue results were summarized.Results:Total of 56 doctors (the Sichuan medical assistance team to Changchun), who undertook the work of Changchun Gongti shelter Hospital, came from 12 professional departments of 14 hospitals. By internal and external linkage-time phased scheduling and information-based patient zoning and grading management, the admission time of batch patients was shortened from (14.64±10.09) min to (6.80±5.10) min per person( P<0.05), the number of patients that each doctor can view per hour ranges from (28.50±12.26) to (68.43±19.95) ( P<0.01). A total of 1 293 patients were treated. There were no deaths, no accidents and no mild illness to severe illness in shelter hospital. 35 doctors completed a continuous survey. Before and after the implementation of those measures, the average physical state scores and the psychological state scores of doctors improved ( P=0.03), the self-score of stress feeling decreased ( P<0.01), and the self-score of professional achievement increased ( P<0.01). Conclusions:To adapt to the characteristics of emergency treatment for batch COVID-19 patients, the internal and external linkage-time phased scheduling and information-based patient zoning and grading management could help the temporarily convened doctors deal with a large number of patients efficiently, reduce work stress and exposure risk in shelter hospital.