Biological Early Warning and Emergency Management Support System for Water Pollution Accident

Water pollution accidents such as chemical spill and toxicants leach have become a serious issue in the world, which brings great threats to the aquatic ecosystem and drinking water safety. To detect unknown pollutions in time and take proper emergency actions, this study developed a system which integrated an online intelligent water quality monitoring device with a high efficient water quality model. The device is based on water quality probes and biological sensors which use fish motion as indicator. The numerical model is a combination of Euler and Lagrangian approaches. Finite element method is applied to simulate the flow field in an unstructured grid, and the pollutant be- haviours are traced through particle tracking. Oracle is used to manage the basic and monitoring data, and ArcSDE as well as ArclMS technologies are applied to make the system WebGIS-based so as to improve the data receiving and dispatching efficiency. The developed system has been successfully operated in Douhe Reservoir and Taihu Lake, China, where drinking water intakes are installed. It is seen from the applications that the online intelligent water qual- ity monitoring and emergency support system can be of great support to emergency management.

Comparing 11 early warning scores and three shock indices in early sepsis prediction in the emergency department

BACKGROUND:This study aimed to evaluate the discriminatory performance of 11 vital sign-based early warning scores(EWSs)and three shock indices in early sepsis prediction in the emergency department(ED).METHODS:We performed a retrospective study on consecutive adult patients with an infection over 3 months in a public ED in Hong Kong.The primary outcome was sepsis(Sepsis-3 definition)within 48 h of ED presentation.Using c-statistics and the DeLong test,we compared 11 EWSs,including the National Early Warning Score 2(NEWS2),Modified Early Warning Score,and Worthing Physiological Scoring System(WPS),etc.,and three shock indices(the shock index[SI],modified shock index[MSI],and diastolic shock index[DSI]),with Systemic Inflammatory Response Syndrome(SIRS)and quick Sequential Organ Failure Assessment(qSOFA)in predicting the primary outcome,intensive care unit admission,and mortality at different time points.RESULTS:We analyzed 601 patients,of whom 166(27.6%)developed sepsis.NEWS2 had the highest point estimate(area under the receiver operating characteristic curve[AUROC]0.75,95%CI 0.70-0.79)and was significantly better than SIRS,qSOFA,other EWSs and shock indices,except WPS,at predicting the primary outcome.However,the pooled sensitivity and specificity of NEWS2≥5 for the prediction of sepsis were 0.45(95%CI 0.37-0.52)and 0.88(95%CI 0.85-0.91),respectively.The discriminatory performance of all EWSs and shock indices declined when used to predict mortality at a more remote time point.CONCLUSION:NEWS2 compared favorably with other EWSs and shock indices in early sepsis prediction but its low sensitivity at the usual cut-off point requires further modification for sepsis screening.

Study on Emergency Management Mechanism of Public Health Emergencies

The outbreak of SARS in 2003 opened the way of public health emergency management in China.COVID-19 which suddenly outbroke in 2019 is still raging all over the world,and emergency management mechanism of China is being tested.Efforts to improve the emergency management mechanism can provide effective institutional guarantee for the overall victory of anti epidemic and the prevention and control of public health emergencies.

Construction of an intelligent patient satisfaction assessment system and its application in emergency management

Hospital emergency management work is of great importance which not only related to the life and health of the people but also related to social stability.It is necessary to construct and improve the patient satisfaction assessment system so that doctors and patients can interact in a timely and effective manner,and the hospital can alert or respond promptly.This study constructs a closed-loop emergency management system consisting of patient-end,data center and decision-making-end,and apply the feedback information to hospital emergency management.In the preliminary applications,the system has a significant effect on the hospital emergency management mechanism.The researchers will improve the system in the follow-up study。

Recommendations for Emergency Management of Rural Major Infectious Diseases in Non-epicenter Areas:Taking Village B during COVID-19 as an Example

This paper analyzed the key issues and challenges confronted in the governance of Village B in the non-epicenter area in rural areas of China during the COVID-19 pandemic.It clarified the weak points in the prevention and control of infectious diseases in Village B.A triple emergency management mechanism of"people-materials-environment"in rural areas should be established.It came up with constructive recommendations for scientifically and effectively responding to public health emergencies in rural non-epicenter areas,which is helpful to improve the rationality,legality and scientific effectiveness of the construction of emergency response mechanisms in rural areas.

Construction of the All-region Linkage System for Emergency Management of Agricultural Product Quality and Safety in West China

Quality and safety of agricultural products are significant for national socioeconomic development,sustainable development,and vital interests of people.To safeguard quality and safety of agricultural products in west China is to safeguard economic safety and ecological safety of the country,public health and social stability,of which an important task is to properly handle emergencies concerning quality and safety of agricultural products.Considering actual conditions of west China,suggestions are given to construct the all-region linkage system for emergency management of agricultural product quality and safety in the local area,enhance the all-region linkage,and improve the linkage efficiency.

Outcome prediction value of National Early Warning Score in septic patients with community-acquired pneumonia in emergency department: A single-center retrospective cohort study

BACKGROUND:To evaluate the accuracy of National Early Warning Score(NEWS)in predicting clinical outcomes(28-day mortality,intensive care unit[ICU]admission,and mechanical ventilation use)for septic patients with community-acquired pneumonia(CAP)compared with other commonly used severity scores(CURB65,Pneumonia Severity Index[PSI],Sequential Organ Failure Assessment[SOFA],quick SOFA[qSOFA],and Mortality in Emergency Department Sepsis[MEDS])and admission lactate level.METHODS:Adult patients diagnosed with CAP admitted between January 2017 and May 2019 with admission SOFA≥2 from baseline were enrolled.Demographic characteristics were collected.The primary outcome was the 28-day mortality after admission,and the secondary outcome included ICU admission and mechanical ventilation use.Outcome prediction value of parameters above was compared using receiver operating characteristics(ROC)curves.Cox regression analyses were carried out to determine the risk factors for the 28-day mortality.Kaplan-Meier survival curves were plotted and compared using optimal cut-off values of qSOFA and NEWS.RESULTS:Among the 340 enrolled patients,90 patients were dead after a 28-day follow-up,62 patients were admitted to ICU,and 84 patients underwent mechanical ventilation.Among single predictors,NEWS achieved the largest area under the receiver operating characteristic(AUROC)curve in predicting the 28-day mortality(0.861),ICU admission(0.895),and use of mechanical ventilation(0.873).NEWS+lactate,similar to MEDS+lactate,outperformed other combinations of severity score and admission lactate in predicting the 28-day mortality(AUROC 0.866)and ICU admission(AUROC 0.905),while NEWS+lactate did not outperform other combinations in predicting mechanical ventilation(AUROC 0.886).Admission lactate only improved the predicting performance of CURB65 and qSOFA in predicting the 28-day mortality and ICU admission.CONCLUSIONS:NEWS could be a valuable predictor in septic patients with CAP in emergency departments.Admission lactate did not predict well the outcomes or improve the severity scores.A qSOFA≥2 and a NEWS≥9 were strongly associated with the 28-day mortality,ICU admission,and mechanical ventilation of septic patients with CAP in the emergency departments.

Poor performance of the modified early warning score for predicting mortality in critically ill patients presenting to an emergency department

BACKGROUND:This study was undertaken to validate the use of the modified early warning score(MEWS) as a predictor of patient mortality and intensive care unit(ICU)/ high dependency(HD)admission in an Asian population.METHODS:The MEWS was applied to a retrospective cohort of 1 024 critically ill patients presenting to a large Asian tertiary emergency department(ED) between November 2006 and December2007.Individual MEWS was calculated based on vital signs parameters on arrival at ED.Outcomes of mortality and ICU/HD admission were obtained from hospital records.The ability of the composite MEWS and its individual components to predict mortality within 30 days from ED visit was assessed.Sensitivity,specificity,positive and negative predictive values were derived and compared with values from other cohorts.A MEWS of ≥4 was chosen as the cut-off value for poor prognosis based on previous studies.RESULTS:A total of 311(30.4%) critically ill patients were presented with a MEWS ≥4.Their mean age was 61.4 years(SD 18.1) with a male to female ratio of 1.10.Of the 311 patients,53(17%)died within 30 days,64(20.6%) were admitted to ICU and 86(27.7%) were admitted to HD.The area under the receiver operating characteristic curve was 0.71 with a sensitivity of 53.0%and a specificity of 72.1%in addition to a positive predictive value(PPV) of 17.0%and a negative predictive value(NPV)of 93.4%(MEWS cut-off of ≥4) for predicting mortality.CONCLUSION:The composite MEWS did not perform well in predicting poor patient outcomes for critically ill patients presenting to an ED.

Overview of China’s Emergency Early Warning in 2021

This research uses the 59th-70th national emergency early warning information release monthly report data of China to study the total number of emergency early warnings in 2021, the general situation of early warning categories and regional distribution differences. The results show that: 1) there are 387,075 early warning information in China in 2021, and the early warning has obvious seasonality. 2) The issuance of early warnings is obviously related to the seasons, and the issuance of early warnings varies from month to month. The issuance of one kind of early warning can easily lead to the issuance of another kind of early warning, that is, the early warnings are closely related, and some specific disasters are easy to cause secondary disasters. 3) There are differences in the number of early warnings in each province. 4) The reason for the peak of early warnings in July and the large proportion of red early warnings in Henan Province is the sudden heavy rainstorm in Henan Province in July;the physical mechanism of this heavy rainstorm is sufficient water vapor, strong uplifting movement and stable situation and a long existence time.

Research on the Emergency Response Mechanism and the Applications on Coastal Communities Storm Disaster Management

In this paper, we conduct research on the emergency response mechanism and applications on the coastal communities storm disaster management. Investment of pre-disaster prevention and the post-disaster remedy is larger in emergency in the financial system that has been structural problems, although in a disaster and financial support is especially important after a disaster, but increase before preventive investment should be the focus of our general government. Before preventive emergency government investment is to prevent incident broke out and reduce the incident after the outbreak of the impact of the main means. Under these circumstances, we analyze the coastal communities storm disaster management mode with the integration of the enhanced emergency response mechanism that will be meaningful for promoting the management efficiency and effectiveness.

Research on the Reform of Teaching Management Emergency Mechanism in University Based on Big Data

Sudden major public health events once again test the ability of the whole society to deal with emergencies.Universities are no exception.There are many kinds of management work in Colleges and universities,among which teaching management is the most important one,which is also one of the most affected in this epidemic situation.Therefore,in view of the problems of teaching management in Colleges and universities exposed in the epidemic,combined with the characteristics of independent colleges,starting from the aspects of teaching guarantee mechanism,teaching supervision mechanism,teaching process construction,teaching resources construction and so on,the advantages of big data technology,such as large amount of information,easy to communicate and easy to integrate,are fully used to put forward a set of open-minded,perfect mechanism and advanced technology teaching management emergency response mechanism.

Risk warning technologies and emergency response mechanisms in Sichuan-Tibet Railway construction

Safety is one of the most critical themes in any large-scale railway construction project.Recognizing the importance of safety in railway engineering,practitioners and researchers have proposed various standards and procedures to ensure safety in construction activities.In this study,we first review four critical research areas of risk warning technologies and emergency response mechanisms in railway construction,namely,(i)risk identification methods of large-scale railway construction projects,(ii)risk management of large-scale railway construction,(iii)emergency response planning and management,and(iv)emergency response and rescue mechanisms.After reviewing the existing studies,we present four corresponding research areas and recommendations on the Sichuan-Tibet Railway construction.This study aims to inject new significant theoretical elements into the decision-making process and construction of this railway project in China.

数智赋能社区应急治理:何以可能,何以可为?——基于上海市L街道“社区大脑”建设的案例分析

依托数智技术理顺社区应急治理内在机理并突破治理阈值,已成为社区应急治理创新的可行路径。上海市L街道“社区大脑”建设催生了以“大数据+网格化管理”为特征的社区应急治理新模式,充分利用当前数智化发展的有利契机,既从主体、空间、规则以及方式等维度重塑原有的社区应急治理结构,又将数智赋能落实到社区应急治理的全生命周期,集中体现为社区应急预防、应急准备、应急响应以及应急恢复等动态接续的行动环节,切实保障社区应急治理全过程的高质量运行。因应数智技术赋能社区应急治理的双重路径,需加强顶层设计、畅通多元参与、保障信息安全以及创新人才培养等机制建设。

长江中下游崩岸险情智能感知预警与防治关键技术研究构想及成果展望

崩岸是长江中下游河道自然演变的常见形式,严重威胁防洪安全、航道畅通及沿江经济基础设施正常运行甚至是人民生命财产安全。三峡工程等水利水电工程建成运行引起长江中下游水沙情势显著改变,近年来,中下游河道持续冲刷、局部河势调整、崩岸频发,造成多方面不利影响。尽管以往已开展了相关研究并进行了治理,但由于影响因素众多,崩岸机理复杂,隐蔽性、突发性和随机性强,预警及治理难度依然很大。本文以“崩岸机理揭示—大范围筛查—介入式监测—多尺度预警—系统化防治”为总体思路开展研究,围绕流-固耦合作用下的崩岸机理与险情智能筛查、河道岸坡土体全要素实时感知及崩岸模拟预警技术、耦合河势控制措施的崩岸系统防治技术等关键科学技术问题,重点研究持续冲刷下河势变化与崩岸动态响应关系,研发多源信息融合的崩岸险情智能筛查技术、河道岸坡全要素一体化智能感知技术、多尺度河道崩岸预测与预警技术,以及耦合河势控制措施的崩岸系统防治技术,旨在揭示持续冲刷条件下长江中下游崩岸发生的驱动因素及内在机理,研发崩岸险情智能感知预警及防治关键技术,实现崩岸险情智能筛查、多要素监测、动态预警与系统防治。研究有望显著提高长江中下游河道崩岸发生的预见性和治理技术水平,促进崩岸从灾后抢护向灾前预防转变,为河道系统治理和水安全保障能力提升提供科技支撑。

国家紧急地震信息服务系统的设计、开发及实践

紧急地震信息服务系统是国家地震烈度速报与预警工程五大技术系统的重要组成部分之一,也是对外发布紧急地震信息的关键环节和出口。作为国家地震烈度速报与预警工程“先行先试”单位,四川省地震局基于分布式服务架构开发平台,运用MQTT消息队列等技术,采用JAVA语言完成了四川紧急地震信息服务系统(B系统)的设计与定制开发。目前,该系统已纳入国家地震烈度速报与预警工程紧急地震信息发布的核心业务系统并在全国范围内部署应用,解决了现有紧急地震信息发布系统单一运行的风险,进一步提高了信息发布的稳定性、安全性和时效性。

中国能源应急管理体系演进、问题及政策建议

能源应急管理体系的构成与演变决定了一个国家应对能源突发事件的能力和效率。新中国成立后,中国能源应急管理体系经历了单灾种专项应急管理体系(1949—2003年)、以“一案三制”为核心的应急管理体系(2003—2012年)、以总体国家安全观为统领的应急管理体系(2012年至今)3个发展阶段。总体来看,中国现阶段能源应急管理体系建设还存在大安全大应急理念有待加强、能源综合应急管理体制需要模式重构、应急法制体系亟待完善、全流程应急管理机制和应急保障能力急需提高等一系列问题。建议推进能源战略安全理念,贯彻大安全大应急新思想;完善集中统一、高效权威的能源综合应急管理体制;加强能源应急管理机制建设;健全能源应急管理法制与标准体系;强化能源应急保障体系。

信息触达:灾害预警信息语言表达的影响研究

在自然灾害情境下,应急预警信息的有效触达对目标受众提前做好应急预案、减轻灾害损失具有重要价值,是影响应急管理效果的关键因素之一。本研究基于前景理论与参考点效应,运用实验研究方法收集城市暴雨灾害情境下预警信息受众的自反馈感知和行为数据,对不同参考点语境下灾害预警信息表达对信息触达效果的影响进行研究。结果表明,基于不同参考点设计的信息表达方式对灾害预警信息的触达效果有不同影响,其中具体信息参考点和社会比较参考点显著影响信息受众对灾害严重性和风险性的感知,而消极影响参考点则影响不显著。同时,认知负担会影响包含综合参考点以及与防范措施有关的具体信息参考点的信息触达效果。本研究推进了信息触达理论研究,对于改进政务信息表达、提升灾害预警信息触达效果、增强自然灾害应急管理能力具有重要意义。

医疗卫生物资管理系统的设计与应用

目的为解决医疗卫生物资管理难、决策难、统计分析不精细等问题,构建一个高效、实时、动态的应急卫生物资管理系统。方法采用射频识别技术、互联网技术、人工智能等技术,实现应急物资从入库、出库、查看、监控、分析等全流程管理,突破传统物资管理模式的局限。结果该系统实现“平”“疫”时期物资管理及分配,提高了物资管理效率,物资入库所需时间由原来的(1.53±0.21)h缩短为(0.92±0.11)h,出库时间由原来的(1.74±0.19)h缩短为(1.13±0.12)h,且差异均有统计学意义(P<0.001)。结论该系统可实现应急物资信息化、智慧化管理,为应对各类突发公共卫生事件提供有力保障。

标准化急诊预检分诊对急诊胸痛患者救治效果的研究

目的评估标准化急诊预检分诊模式在急诊胸痛患者中的应用效果。方法选择2023年2—5月福建省泉州市第一医院城东院区急诊科接诊的50例急性胸痛患者为对照组,2023年6—9月福建省泉州市第一医院城东院区急诊科接诊的50例急性胸痛患者为研究组。对照组采用传统急诊预检分诊方法,研究组采用基于改良早期预警评分系统(modified early warning score,MEWS)的标准化急诊预检分诊模式。比较2组患者急诊处理时间、急性冠脉综合征患者首次医疗接触到球囊开通时间(first medical contact to balloon,FMC-to-B)、进入医院大门至球囊开通时间(door to ballon,D-to-B)、不良事件发生情况。结果研究组预检分诊时间[(2.2±0.5)min vs.(3.6±1.4)min]、首份心电图时间[(6.1±1.9)min vs.(8.9±2.6)min]、床旁即时检测完成时间[(21.4±3.2)min vs.(30.6±6.8)min]、急诊科停留时间[(40.2±7.6)min vs.(54.6±11.8)min]均短于对照组(P<0.05)。研究组急性冠脉综合征患者FMC-to-B[(50.4±9.3)min vs.(71.3±14.7)min]与D-to-B[(78.6±11.7)min vs.(106.9±15.4)min]短于对照组(P<0.05)。研究组心力衰竭、休克、心律失常累计发生率低于对照组(10.0%vs.28.0%,P<0.05)。结论基于MEWS的标准化急诊预检分诊模式可提升急性胸痛救治效率,改善患者预后。

多无人车协同规划及突发情况下应急响应与恢复方法

面对环境突变、车辆故障等突发情况,传统集中式协同规划方法无法快速应急响应、实现系统冲突消解和有序恢复。针对以上问题,提出一种运动学约束下多无人车协同规划及突发情况下应急响应与恢复方法。首先,采用集中式搜索架构构建运动学约束下的协同路径规划模型,引入车身约束树以消解连续空间内多无人车碰撞。其次,为确保受突发情况影响的无人车能够安全快速停靠并降低对系统的干扰,提出一种基于预警区域的应急规划起始点选取方法,基于紧急事件发生时无人车状态生成的随机搜索树进行分层搜索,将随机搜索树、系统内部时空约束、无人车运动稳定性需求相结合,确保无人车能平稳过渡到应急停靠点。最后,在系统恢复过程中,针对不同无人车到达应急响应停靠点的时间差异,采用异步规划策略,将未受突发事件影响的车辆轨迹纳入协同规划的时空约束,最终生成应急响应后的恢复轨迹簇。仿真测试中,最优应急响应轨迹生成平均时长0.324 s,应急响应模块将规划成功率由28.7%提高到87.6%,异步模块在突发障碍物高达15个时将运行效率提升接近93%。