Search

Objective: Publication science is the scholarly study of various aspects of the academic publishing process. Its applications to COVID-19 literature have been limited. Here, we describe COVID-19 submissions to, and resulting articles published by, the journal Public Health Reports (PHR), an important resource for US public health practice. Methods: We reviewed PHR 's COVID-19 submissions and articles published between March 27, 2020, and March 27, 2023. We coded each article for article type, author affiliation, the categories listed in PHR 's call for COVID-19 papers, and the public health emergency preparedness and response capabilities from the Centers for Disease Control and Prevention (CDC). Results: During the study period, PHR received 1545 COVID-19 submissions and published 190 of those articles in a collection, COVID-19 Response. The COVID-19 Response collection included 102 research articles, 29 case study/practice articles, and 24 commentaries. The corresponding author of more than half (52.1%; n = 99) of the articles was affiliated with academia. By the categories listed in PHR 's call for COVID-19 papers, 51 articles addressed health disparities, 38 addressed public health surveillance, and 34 addressed COVID-19 vaccination. By the CDC public health emergency preparedness and response capabilities, 87 articles addressed public health surveillance and epidemiologic investigation, 38 addressed community preparedness, and 32 addressed community recovery. The percentage of articles focused on policy/law was higher early in the pandemic (2020-2021) than later (2022-2023) (9.5% vs <3.0%). During the latter period, articles largely focused on vaccination (12.8%) and contact tracing (10.6%). Conclusions: Articles published in PHR 's COVID-19 Response collection covered a broad range of topics and were authored by contributors from diverse organizations. Our characterization of the COVID-19 output of a representative US public health practice journal can help academic publishing better address informational needs of public health responders. [ABSTRACT FROM AUTHOR]

Objective: Given the frequency of disasters worldwide, there is growing demand for efficient and effective emergency responses. One challenge is to design suitable retrospective charts to enable knowledge to be gained from disasters. This study provides comprehensive understanding of published retrospective chart review templates for designing and updating retrospective research. Methods: We conducted a systematic review and text analysis of peer-reviewed articles and grey literature on retrospective chart review templates for reporting, analysing, and evaluating emergency responses. The search was performed on PubMed, Cochrane, and Web of Science and pre-identified government and non-government organizational and professional association websites to find papers published before July 1, 2022. Items and categories were grouped and organised using visual text analysis. The study is registered in PROSPERO (374,928). Results: Four index groups, 12 guidelines, and 14 report formats (or data collection templates) from 21 peer-reviewed articles and 9 grey literature papers were eligible. Retrospective tools were generally designed based on group consensus. One guideline and one report format were designed for the entire health system, 23 studies focused on emergency systems, while the others focused on hospitals. Five papers focused specific incident types, including chemical, biological, radiological, nuclear, mass burning, and mass paediatric casualties. Ten papers stated the location where the tools were used. The text analysis included 123 categories and 1210 specific items; large heterogeneity was observed. Conclusion: Existing retrospective chart review templates for emergency response are heterogeneous, varying in type, hierarchy, and theoretical basis. The design of comprehensive, standard, and practicable retrospective charts requires an emergency response paradigm, baseline for outcomes, robust information acquisition, and among-region cooperation. [ABSTRACT FROM AUTHOR]

A disaster is an unexpected event with negative consequences for individuals and societies. Typically it is interfering with a community's or society's ability to function. Disasters can be man-made events, accidental events, or a natural catastrophes. These events create emergencies that require rapid responses. Timely information about the emergencies has to be obtained so that the responses can aid in dealing with the emergencies. One source of timely information about disasters is provided by social media postings which often provide on-site information about a disaster. An ideally suited social media tool for disaster information is Twitter due to the sort message format. This format enables the rapid composition of short messages by entities close to a disaster describing the nature of the disaster. The contents of the messages can then be used to guide emergency responses. The aim of this paper is to review the research on the usage of Twitter for emergency management that has been published so far. There are three steps required when using messages for information about disasters. The first step is to collect the data contained in the messages. Then the data has to be preprocessed for unification of format, duplication etc. Finally relevant information has to be extracted. These steps are considered in this paper reviewing the use of Twitter for emergency management. Papers using Twitter published within the past 5 years have been included. [ABSTRACT FROM AUTHOR]

Nowadays, an increasing number of crises worldwide, triggered by climate extremes, natural and human-made hazards, the coronavirus pandemic, and more, pose a high pressure on crisis, emergency, and disaster management. Spatial data and Volunteered Geographic Information (VGI) are key issues in the successful and immediate response to crises. This paper aims to explore the use of VGI in crisis management, including emergency and disaster management, based on a scoping review of existing literature in English for five years (2016–2020). Specifically, the research intends to answer Scoping Review Questions (SRQ) regarding the use of VGI in crisis, emergency, and disaster management, and the verified cases' spatial distribution, the VGI sources utilized (e.g. OpenStreetMap – OSM, Crowdsourcing, Twitter), the types of hazards (e.g. natural and human-made hazards, pandemic), the specific tasks in crisis, emergency or disaster management and VGI use in the management of actual crisis events, e.g. COVID-19 pandemic, Hurricane Katrina, etc. Eligible papers on VGI use in crisis, emergency, and disaster management are geolocated based on first-author affiliation, and as a result, a spatial bibliography is provided. Thus, the term Spatial Scoping Review is introduced. Scoping Review Questions are answered, and the results are analyzed and discussed. Finally, implementing the "VGICED Atlas", a web atlas, permits the publication of the research results to a broad audience and the visualization of the analysis with several interactive maps. [ABSTRACT FROM AUTHOR]

With the development of economic globalization and increasing international trade, the maritime transportation system (MTS) is becoming more and more complex. A failure of any supply line in the MTS can seriously affect the operation of the system. Resilience describes the ability of a system to withstand or recover from a disaster and is therefore an important method of disaster management in MTS. This paper analyzes the impact of disasters on MTS, using the data of Suez Canal "Century of Congestion" as an example. In practice, the severity of a disaster is dynamic. This paper categorizes disasters into different levels, which are then modelled by the Markov chain. The concept of a repair line set is proposed and is determined with the aim to minimize the total loss and maximize the resilience increment of the line to the system. The resilience measure of MTS is defined to determine the repair line sequence in the repair line set. Finally, a maritime transportation system network from the Far East to the Mediterranean Sea is used to validate the applicability of the proposed method. [ABSTRACT FROM AUTHOR]

Active shooter events involving an armed perpetrator(s) on campus are one of the main risks facing K-12 schools. Defined as planning for and responding to emergency situations, emergency or crisis management allows for an 'acceptable' level of risk to be achieved. This paper will go through the four principles of emergency management, detailing what each stage involves and how it can reduce risk. The first of these is mitigation, which prevents crises occurring in the first place. Effective risk and threat assessment are pertinent to this stage. Secondly, there is preparedness, which enhances the capacity of an organization to respond to various incidents. This involves drafting emergency management plans and practicing these to ensure readiness to respond. The next principle is responding to a crisis, denoting the actions taken during and immediately after a crisis, should one transpire. The final facet of emergency management planning is recovery, referring to the short-to-long-term phase of restoring a community following an incident. This paper will share insights obtained from a recent event, The Briefings, held by the I Love U Guys foundation, one of the leading school safety organizations in the United States. Specifically, the paper will focus on a possible training approach to active shooter events and other emergencies, the organization's emergency management framework called the 'Standard Response Protocol'. Additionally, this paper will incorporate relevant scholarly readings in order to provide an introduction to the topic of emergency management. [ABSTRACT FROM AUTHOR]

Objectives: Hospitals must maintain their effective operations during and after disasters. Due to the current increase in disasters, hospital resilience has drawn scholarly attention. This study aimed to review studies on the changes in the definition of hospital resilience after COVID‐19, build a conceptual framework for careful measurement, and identify the main dimensions of hospital resilience emphasized during the COVID‐19 pandemic. Design: The initial phase of this study was a systematic review of articles published before the COVID‐19 pandemic to extract the hospital resilience‐related dimensions for the second phase. The second phase involved text‐mining articles published both before and after the emergence of COVID‐19. Setting: In the systematic review phase, 12 databases were searched from 2006 to January 2020, including Scopus, Web of Science, MEDLINE through PubMed, Embase, ERIC, ProQuest, the Cochrane Library, Emerald, Springer, Science Direct/ELSEVIER, Google Scholar, and SID (for Persian language papers). Then, after COVID‐19, articles published in these databases between January 2020 and May 2022 were evaluated using text mining. Result: During the systematic phase, 17 out of 1530 papers published before COVID‐19 were synthesized to collect components of hospital disaster resilience. These identified components were the inputs for the text‐mining phase. The text mining on pre‐COVID papers resulted in six clusters, with the highest weight (0.65) belonging to general resilience and disaster preparedness, while in the post‐COVID text mining phase, including 70 papers, 8 clusters have been identified, with the highest weight cluster (0.78) focusing on the mental and psychological aspects of resilience among healthcare workers. Conclusion: Following the COVID pandemic, scholarly attention has shifted to the more personal dimensions of hospital resilience, including psychological resiliency. It seems necessary for policymakers to focus more on the individual and psychological resilience of hospital staff. [ABSTRACT FROM AUTHOR]

Leadership in times of volatility and uncertainty has come under increasing scrutiny. There is a need to critically examine how crisis management leaders develop their leadership practices and what leadership practices are needed to support teams, stakeholders and communities in conditions of transition, change and deep uncertainty. Just over a decade ago, Owen (2013) reported research that examined the gendered nature of incident management. That research included a survey of emergency response agencies that were members of the Australasian Fire and Emergency Service Authorities Council (AFAC). Survey respondents included 476 men and 77 women. In incident management teams the women surveyed were predominately in planning and logistics functional team leader positions and, of the 117 incident controllers/deputy controllers included in the study, only 4 (5%) were women. The research reported that women experienced working in such teams as culturally challenging, in part because of a masculinist culture often referred to as a 'command and control type attitude' (Owen 2013, p 7). In considering this, this paper explores the representation of women in leadership positions in emergency management and what attributes women bring to these roles. The paper concludes by proposing a move beyond gendered stereotypes of leadership (masculine/ feminine) towards the metaphor of 'leader as host'. [ABSTRACT FROM AUTHOR]

This paper presents the results of a severe accident parametric sensitivity study performed on a model of a generic integral pressurized water reactor (iPWR). The analyzed sequence is a loss of coolant accident (LOCA)-type scenario, postulating that safety systems are not available. In this work, a MELCOR 2.2 input deck of a generic iPWR was developed based on publicly available data. The iPWR used in this work is a generic iPWR with a thermal power of about 160 MWth, characterized by a compact steam generator and a submerged containment configuration. A hypothetical scenario considered in this work was an unmitigated small break LOCA leading to a severe accident with partial core degradation, due to the postulated assumptions. In the presented paper, 16 sensitivity cases were calculated and analyzed, focusing mainly on heat transfer, decay heat, and core degradation parameters. The selected parameters and their combination caused partial core degradation and showed significant differences in investigated variables such as core degradation and hydrogen generation, as well as examined CPU time consumption. This a preparatory work performed in the framework of the Horizon Euratom SASPAM-SA project, which aims to investigate the applicability and transfer of the operating large light-water reactor knowledge and know-how to the iPWR, taking into account European licensing analysis needs for the severe accident and emergency planning zone. [ABSTRACT FROM AUTHOR]

This document discusses the use of computational simulation in crisis and disaster management. It highlights the advantages of simulation models in examining alternative strategies and predicting the effects of changes in real-world systems. The document also acknowledges the challenges in incorporating realistic human behavior, increasing acceptability of simulation models, and creating multi-scale models. The special issue focuses on current real-world problems and includes papers on topics such as epidemics, seismic crises, population sheltering management, and mass evacuation. Two companion papers on airport evacuation and the Syrian refugee crisis are also mentioned. [Extracted from the article]

The purpose of this paper is to provide a comprehensive systematic literature review of crisis management. The study provides an insight for academicians and practitioners on the main areas of crisis management. The paper also provides a novel contribution through highlighting a new approach to crisis management by integrating a response planning process in an organization's business contingency plan. The research also addresses a number of conceptual and managerial elements related to our studied subject such as the types of crises and the factors affecting crisis management. [ABSTRACT FROM AUTHOR]

Introduction: This paper presents a structured review of the use of crisis management, specifically examining the frameworks of surge capacity, resilience, and dynamic capabilities in healthcare organizations. Thereafter, a novel deductive method based on the framework of dynamic capabilities is developed and applied to investigate crisis management in two hospital cases during the COVID-19 pandemic. Background: The COVID-19 pandemic distinguishes itself from many other disasters due to its global spread, uncertainty, and prolonged duration. While crisis management in healthcare has often been explained using the surge capacity framework, the need for adaptability in an unfamiliar setting and different information flow makes the dynamic capabilities framework more useful. Methods: The dynamic capabilities framework's microfoundations as categories is utilized in this paper for a deductive analysis of crisis management during the COVID-19 pandemic in a multiple case study involving two Swedish public hospitals. A novel method, incorporating both dynamic and static capabilities across multiple organizational levels, is developed and explored. Results: The case study results reveal the utilization of all dynamic capabilities with an increased emphasis at lower organizational levels and a higher prevalence of static capabilities at the regional level. In Case A, lower-level managers perceived the hospital manager as brave, supporting sensing, seizing, and transformation at the department level. However, due to information gaps, sensing did not reach regional crisis management, reducing their power. In Case B, with contingency plans not initiated, the hospital faced a lack of management and formed a department manager group for patient care. Seizing was robust at the department level, but regional levels struggled with decisions on crisis versus normal management. The novel method effectively visualizes differences between organizational levels and cases, shedding light on the extent of cooperation or lack thereof within the organization. Conclusion: The researchers conclude that crisis management in a pandemic, benefits from distributed management, attributed to higher dynamic capabilities at lower organizational levels. A pandemic contingency plan should differ from a plan for accidents, supporting the development of routines for the new situation and continuous improvement. The Dynamic Capabilities framework proved successful for exploration in this context. [ABSTRACT FROM AUTHOR]

Purpose: This paper argues that extractivist logic creates the environmental conditions that produce "natural" hazards and also the human conditions that produce vulnerability, which combined create disasters. Disaster Risk Creation is then built into the current global socio-economic system, as an integral component not accidental by-product. Design/methodology/approach: As part of the movement to liberate disasters as discipline, practice and field of enquiry, this paper does not talk disasters per se, but rather its focus is on "extractivism" as a fundamental explanator for the anthropogenic disaster landscape that now confronts us. Findings: Applying a gender lens to extractivism as it relates to disaster, further highlights that Disaster Risk Management rather than alleviating, creates the problems it seeks to solve, suggesting the need to liberate gender from Disaster Risk Management, and the need to liberate us all from the notion of managing disasters. Since to 'manage' disaster risk is to accept uncritically the structures and systems that create that risk, then if we truly want to address disasters, our focus needs to be on the extractive practices, not the disastrous outcomes. Originality/value: The fundamental argument is that through privileging the notion of "disaster" we create it, bring it into existence, as something that exists in and of itself, apart from wider socio-economic structures and systems of extraction and exploitation, rather than recognising it for what it is, an outcome/end product of those wider structures and systems. Our focus on disaster is then misplaced, and perhaps what disaster studies needs to be liberated from, is itself. [ABSTRACT FROM AUTHOR]

Adsorption cooling and desalination systems have a distinct advantage over other systems that use low‐grade waste heat near ambient temperature. Since improving their performance, including reliability and failure prediction, is challenging, developing an efficient diagnostic system is of great practical significance. The paper introduces artificial intelligence (AI) and an automated machine learning approach (AutoML) in a real‐life application for a computational diagnostic system of existing adsorption cooling and desalination facilities. A total of 1769 simulated data points containing data indicating a failure status are applied to develop a comprehensive AI‐based Diagnostic (AID) system covering a wide range of 42 input parameters. The paper introduces a conditional monitoring system for adsorption cooling and desalination systems. The novelty of the presented study mainly consists of two aspects. First, the intelligent system predicts the health or failure states of various components in a complex three‐bed adsorption chiller installation using the extensive input data sets of 42 different operating parameters. The developed AID expert tool, based on selecting the best from 42 models generated by the DataRobot platform, was validated on the complex, existing three‐bed adsorption chiller. The AID system correctly identified healthy and failure states in various installation components. The developed expert system is very efficient (AUC = 0.988, RMSE = 0.20, LogLoss = 0.14) in predicting emergency states. The proposed method constitutes a quick and easy technique for failure prediction and represents a complementary tool compared to the other condition monitoring methods. [ABSTRACT FROM AUTHOR]

This paper contributes to the development of a Next Generation First Responder (NGFR) communication platform with the key goal of embedding it into a smart city technology infrastructure. The framework of this approach is a concept known as SmartHub, developed by the US Department of Homeland Security. The proposed embedding methodology complies with the standard categories and indicators of smart city performance. This paper offers two practice-centered extensions of the NGFR hub, which are also the main results: first, a cognitive workload monitoring of first responders as a basis for their performance assessment, monitoring, and improvement; and second, a highly sensitive problem of human society, the emergency assistance tools for individuals with disabilities. Both extensions explore various technological-societal dimensions of smart cities, including interoperability, standardization, and accessibility to assistive technologies for people with disabilities. Regarding cognitive workload monitoring, the core result is a novel AI formalism, an ensemble of machine learning processes aggregated using machine reasoning. This ensemble enables predictive situation assessment and self-aware computing, which is the basis of the digital twin concept. We experimentally demonstrate a specific component of a digital twin of an NGFR, a near-real-time monitoring of the NGFR cognitive workload. Regarding our second result, a problem of emergency assistance for individuals with disabilities that originated as accessibility to assistive technologies to promote disability inclusion, we provide the NGFR specification focusing on interactions based on AI formalism and using a unified hub platform. This paper also discusses a technology roadmap using the notion of the Emergency Management Cycle (EMC), a commonly accepted doctrine for managing disasters through the steps of mitigation, preparedness, response, and recovery. It positions the NGFR hub as a benchmark of the smart city emergency service. [ABSTRACT FROM AUTHOR]

This document is an editorial from the journal Frontiers in Earth Science titled "Prevention, Mitigation, and Relief of Compound and Chained Natural Hazards." It discusses the increasing frequency of extreme natural disasters due to global climate warming and frequent earthquakes, which pose significant threats to human life and property. The editorial highlights the importance of preventing, mitigating, and relieving compound and chained natural hazards, and the role of technological advancements in addressing these hazards. The document provides an overview of nine published papers that focus on earthquakes, geological hazards, earthquake-triggered landslides, and landslide susceptibility. It concludes by emphasizing the need for continued research on comprehensive natural hazards and disaster chains, beyond earthquakes and geological disasters, such as meteorological events, floods, droughts, wildfires, and tsunamis. [Extracted from the article]

This paper proposes an effective material delivery algorithm to address the challenges associated with Unmanned Aerial Vehicle (UAV) material transportation and delivery, which include complex route planning, low detection precision, and hardware limitations. This novel approach integrates the Whale-Swarm Hybrid Algorithm (WSHA) with the APCR-YOLOv8 model to enhance efficiency and accuracy. For path planning, the placement paths are transformed into a Generalized Traveling Salesman Problem (GTSP) to be able to compute solutions. The Whale Optimization Algorithm (WOA) is improved for balanced global and local searches, combined with an Artificial Bee Colony (ABC) Algorithm and adaptive weight adjustment to quicken convergence and reduce path costs. For precise placement, the YOLOv8 model is first enhanced by adding the SimAM attention mechanism to the C2f module in the detection head, focusing on target features. Secondly, GhoHGNetv2 using GhostConv is the backbone of YOLOv8 to ensure accuracy while reducing model Params and FLOPs. Finally, a Lightweight Shared Convolutional Detection Head (LSCDHead) further reduces Params and FLOPs through shared convolution. Experimental results show that WSHA reduces path costs by 9.69% and narrows the gap between the best and worst paths by about 34.39%, compared to the Improved Whale Optimization Algorithm (IWOA). APCR-YOLOv8 reduces Params and FLOPs by 44.33% and 34.57%, respectively, with mAP@0.5 increasing from 88.5 to 92.4 and FPS reaching 151.3. This approach can satisfy the requirements for real-time responsiveness while effectively preventing missed, false, and duplicate detections during the inspection of emergency airdrop stations. In conclusion, combining bionic optimization algorithms and image processing significantly enhances the efficiency and precision of material placement in emergency management. [ABSTRACT FROM AUTHOR]

In early 2021, the United Kingdom (UK) had the highest per capita death rate from Covid-19 of any large country. Yet it had previously been ranked as one of the best prepared countries for a future pandemic. This gap between preparedness and performance has been the subject of intense debate, including as part of the UK Covid-19 Inquiry. In this paper, we contribute to this ongoing process of reflection by identifying the imagined public(s) within the UK's scientific advice system. Drawing on scholarship in Science and Technology Studies (STS) that critiques framings of a singular or homogeneous 'public', we review meeting minutes and media briefings to reveal two imagined publics, co-constructed by the UK's science advisors and policymakers in early 2020: first, a 'freedom-loving' public resistant to stringent policy interventions; and second, a public that was—in an echo of wartime rhetoric— 'all in it together'. These imagined publics reflect a series of framing assumptions that help to make sense of the UK's pandemic response. We focus particularly on the tensions between the homogeneous and multi-faceted imagined public, and the compound health and social inequalities that predated the pandemic but became starker and more visible as it unfolded. Our paper charts these tensions and demonstrates how these imagined publics went through stages of cohesion and fracture in the fraught early months of the pandemic. We conclude by considering the implications of this analysis for understanding the UK's response to Covid-19, and for the future of scientific advice and emergency preparedness. Why does this matter? Studies of scientific advice reveal that how scientists and decision makers imagine the public and their concerns affect the communication of scientific advice, and the construction and value placed on relevant knowledge. Advisory scientists frame their models and their advice in terms of what they regard as politically possible. [ABSTRACT FROM AUTHOR]

There is a notable shift in gender and disaster research towards addressing gender and sexual minorities, with a growing body of literature arguing for the need to go 'beyond the binary'. While critiquing the traditional gender dichotomy remains essential, discarding fundamental concepts such as the binary way in which gender is constructed at the societal level, may undermine efforts to address those marginalised by it. The violence and sexual assaults women are often subjected to in the immediate aftermath of disaster, highlights the critical need to expose the entrenched power dynamics that perpetuate inequality and oppression based on gender. The emerging tension between structural and more individualised, agentic perspectives underscores the need for a comprehensive approach that emphasises the structural as well as the personal dimensions of gender and sexuality in the context of disasters. By recognising and addressing these complexities, gender and disaster research can contribute to an inclusive and equitable disaster management and response framework. This paper provides an overview of gender and disaster research conducted over 10 years and presents findings about the experiences of women, men and people with diverse gender and sexual identities in disaster contexts. [ABSTRACT FROM AUTHOR]

Background: Every year, people in Canada are evacuated due to wildland fires to avoid death, injury, and illness from fire and smoke events. Aims: In this paper, we provide an overview of evacuations recorded in the Canadian Wildland Fire Evacuation Database between 1980 and 2021. Methods: Our analysis covers evacuations in Canada from 1980 to 2021. We provide summary statistics including number of evacuations and evacuees, evacuation duration, seasonality, evacuation causes, community types, structure losses, and fatalities. We also investigate temporal and spatial patterns. Key results: Between 1980 and 2021, there were 1393 wildland fire evacuation events with 576,747 people evacuated. During this period, there was an overall increase in frequency of evacuations, number of evacuees, and duration of events. Structure loss occurred during 194 evacuation events, with 4105 homes burned. We estimate wildland fire evacuations cost at least CAD3.7 billion (excluding structural losses), jumping to CAD4.6 billion if we include productivity losses. Indigenous peoples are disproportionately impacted in wildfire evacuations compared to the general Canadian population. Conclusions: Wildland fire evacuations continue to occur across Canada and are increasing. Implications: The findings from this study give us a better understanding of the characteristics of wildland fire evacuations, which can help guide emergency management. This paper summarises data on wildland fire evacuations in Canada between 1980 and 2021. There were 1393 wildland fire evacuation events with 576,747 people evacuated, costing approximately CAD4.6 billion CDN including productivity losses. [ABSTRACT FROM AUTHOR]

This paper examines the vital importance of infrastructure protection and risk management in the context of the devastating 2023 earthquake in Turkey, which resulted in over 50,000 deaths and left 1.5 million homeless. Highlighting the consequences of inadequate infrastructure and government failure to enforce building standards, the study stresses similar risks in countries like Kosovo and North Macedonia. It argues for enhanced government regulation, improved urban planning, and robust international collaboration in disaster response to better prepare for and mitigate future seismic events. Through a detailed analysis of the Turkey earthquake, the paper provides essential insights into creating more resilient and disaster-ready communities. [ABSTRACT FROM AUTHOR]

This paper explores the indispensable role of non-governmental organizations (NGOs) in cultivating, applying, and conserving Indigenous knowledge within rural Bangladesh. It scrutinizes how NGOs sustain Indigenous knowledge by focusing on pivotal sectors like agriculture, local medicine, and disaster management. Employing qualitative methodologies--such as ethnographic interviews, focus group discussions (FGD), and case studies--the research was conducted in the Gabura union, Bangladesh, using primary and secondary data sources. The literature review underscores the significance of Indigenous knowledge in agriculture and disaster management while identifying gaps in comprehending knowledge conservation dynamics and the NGO's impact on Indigenous knowledge. It highlights how locals employ Indigenous Knowledge to combat natural disasters, particularly in agriculture, healthcare, and disaster management. Furthermore, it explores NGOs' active roles in preserving and leveraging Indigenous Knowledge, emphasizing its integration with modern scientific knowledge and significance in rural life. The study delves into Gabura residents' strategies for cyclone resilience, such as seeking refuge on embankments, relocating to higher ground, and preserving seeds and dry food. It emphasizes NGOs like BARCIK and their initiatives--Paramela and Kaviraj Mela--along with resource person engagement and safeguarding local knowledge endangered by globalization. BARCIK's training in disaster management, advocacy for traditional agricultural methods, and promotion of indigenous remedies in healthcare are highlighted. Ultimately, the paper underscores NGOs' significant contributions to fostering and applying Indigenous knowledge for sustainable rural development. It emphasizes the institutional processes in defining knowledge and the NGO's role in its reproduction. [ABSTRACT FROM AUTHOR]

Sichuan-Tibet Railway spans several watersheds such as Jinsha River and Yalong River, and Potential landslides are frequent along the route, which poses serious hazards to the normal construction and operation of the railroad. The traditional time-series InSAR technology is limited by the number of images and other restrictions, and has a long solution time, making it difficult to obtain information on short-term occurrence of deformation and unable to perform wide-area potential landslides monitor quickly. In this paper, taking a geological hazard-prone area in the Jinsha River basin (or a section of the Sichuan-Tibet line) as an example, based on the Sentinel-1 satellite SAR data provided by the Copernicus program of ESA, the model corrects the interferometric superposition deformation results obtained from a small number of SAR images (less than 7), decodes the corrected rate results, and identifies a total of 13 areas where deformation obviously occurs A total of 13 typical areas with significant deformation were identified. The identified typical areas were time-series solved and their deformation was traced. The method provides a new idea for identification and monitor of Potential landslides in a wide area and further promotes the development of disaster prevention and mitigation. [ABSTRACT FROM AUTHOR]

Purpose: The reality of emergency preparedness for older adults has not been quite satisfactory in many regions. This paper aimed to study how to improve emergency preparedness for older adults in the viewpoint of emergency culture. Design/methodology/approach: A systematic literature review was used to contrast internationally voiced emergency preparedness (i.e. the principles of emergency preparedness) with culturally adapted emergency preparedness (e.g. values, games, arts, outdoor activities, etc.) via international organizations in both developing and developed countries. For data flow, the preferred reporting items for systematic reviews and meta-analyses was also used in a supplementary way. Findings: An encompassing tenet states that all stakeholders need to divert the internationally voiced emergency preparedness into culturally adapted emergency preparedness while addressing the effects of culture, self-preparedness, integration, diversity, tailored intervention, etc. Originality/value: This paper has probed into the frame of emergency preparedness for older adults more comprehensively than the previous literature. In doing so, the aspect of emergency culture has been much supported. [ABSTRACT FROM AUTHOR]

Purpose: This paper explores the reasons why Indonesia must have legal regulations to provide protection and guarantees for health workers in carrying out the profession in overcoming corona virus disease (COVID-19). This paper also explains the legal regulations as the foundation for today's medical workers' protection. This paper also aims at providing an ideal legal construction that safeguards the rights and obligations of health workers in overcoming COVID-19. Design/methodology/approach: In this paper, the author used qualitative research methods with a socio-legal approach. The data were obtained through literature study and analysis of laws and regulations through the socio-legal method. Findings: Various challenges and professional risks taken by health workers in dealing with COVID-19 derive from several factors, such as shortage of personal protective equipment, ineffective implementation of informed consent from the patients and the negative stigma spreading in the community. Moreover, the current legal regulation has not particularly modulated the protection of health workers, relying only on available articles that are actually irrelevant to be applied in the COVID-19 pandemic. Research limitations/implications: This research is focused on problems faced by health workers in combating COVID-19 and law concessions to ensure their protection. Practical implications: The final results of this research will be useful for The House of Representatives (DPR), the Ministry of Health of the Republic of Indonesia (Kemenkes RI) and the Indonesian Medical Association (IDI) in establishing legal and regulatory construction for the protection of health workers in tackling COVID-19. Social implications: This research aims at strengthening legal protections for the health workers so that their rights and obligations are well guaranteed. Originality/value: This paper proposes an ideal legal construction for the protection of health workers during the COVID-19 pandemic, which is currently still not specifically and rigidly regulated, to realize a guaranteed and sustainable life for health workers. [ABSTRACT FROM AUTHOR]

The national earthquake and national volcanic eruption prediction programs of Japan started in 1965 and 1974, respectively, based on the recommendation of the Geodesy Council. As a result, observations of seismic and volcanic activity have been enhanced and our understanding of the mechanisms of earthquakes and volcanic eruptions has made significant advances. However, these research results did not fully contribute to mitigating the damage caused by the 1995 Kobe earthquake or the 2011 Tohoku earthquake. In order to make further contributions to disaster mitigation, we recognize the importance of research to apply the scientific understanding of earthquakes and volcanic eruptions in collaboration with researchers in related research fields. The Earthquake and Volcano Hazards Observation and Research Program (2014–2018) was thus started on the basis of a recommendation of the Council for Science and Technology. In this Program, research in the area of forecasting the hazards of earthquakes and volcanic eruptions has become one of the main pillars of research. Disaster information and knowledge of the disaster process, which involve the interaction of hazards and natural and social vulnerability, have been investigated in cooperation with earth scientists, engineers, and social scientists. On the basis of our results, research on literacy for disaster resilience was selected as one of the main pillars of research in the Second Observation and Research Program of Earthquake and Volcano Hazards (2019–2023), because a better understanding of and immediate information about disasters are important for disaster mitigation. This special issue, which aims to disseminate the results of almost five years of research activities on literacy for disaster resilience in that Program, includes 15 papers and survey reports from multidisciplinary fields of study. The collection begins with Kimura and Ikeda's important paper discussing the conceptual structure of the knowledge and abilities necessary to build disaster resilience capacities by analyzing school and community-based efforts, followed by a variety of empirical studies that are loosely categorized into two groups. The first group of papers concerns the understanding of disaster processes and mechanisms themselves as a factor inducing disaster prevention and mitigation. First, Ebina and Sugawara, and Sugimori attempt to learn lessons from the pre-modern earthquake disasters based on past picture maps and scrolled records, respectively, followed by Ohkura's interesting paper that points to problems in the Aso Volcano disaster mitigation system by analyzing the 2021 phreatic eruption process. Next, utilizing information and communication technology to support effective evacuation, Inoguchi, and Shiozaki and Hashimoto develop a disaster management toolkit and the tsunami drill program, respectively. The following two papers of Takubo et al. discuss behavioral mechanisms in a disaster period based on their simulation experiments from a cognitive science perspective. The second group investigates methods of enhancing people's literacy for disaster resilience, paying special attention to the interaction between science and civil society, led by Sawada and Sato, and Muroi, both discussing the disaster risk reduction efforts of small and medium-sized enterprises and of community-based organizations, respectively, in anticipation of the Nankai Trough earthquake and tsunami. Next, Kimura and Aikawa propose an education program to enhance the disaster awareness of high school students who have never experienced disasters. Further, four papers deal with the issue of people's access to scientific knowledge focusing on the roles of university institutes, including case studies of so-called open science initiatives, by Yamori, Nakamichi, and Sakamoto and Nakamichi, and finally, a comparative study of several research centers in volcanic localities by Horii et al. These studies argue for the importance of the concept of literacy for disaster resilience to embed scientific knowledge in society and interconnect theory and practice, but the study of such a concept, especially in relation to earthquakes and volcanic eruptions, has just begun. We hope that this issue will encourage discussions from a wide range of scientists, experts in education and disaster management, and policy makers. [ABSTRACT FROM AUTHOR]

This paper focuses on converting complex 3D maps created by LiDAR and SLAM technology into simple 2D maps to make them easier to understand. While 3D maps provide a lot of useful details for robots and computer programs, they can be difficult to read for humans who are used to flat maps. We developed a new system to clean up these 3D maps and convert them into intuitive and accurate 2D maps. The system uses three steps designed to correct different kinds of errors found in 3D LiDAR scan data: clustering-based denoising, height-based denoising, and Statistical Outlier Removal. In particular, height-based denoising is the method we propose in this paper, an algorithm that leaves only indoor structures such as walls. The paper proposes an algorithm that considers the entire range of the point cloud, rather than just the points near the ceiling, as is the case with existing methods, to make denoising more effective. This makes the final 2D map easy to understand and useful for building planning or emergency preparedness. Our main goal is to map the interior of buildings faster and more effectively, creating 2D drawings that reflect accurate and current information. We want to make it easier to use LiDAR and SLAM data in our daily work and increase productivity. [ABSTRACT FROM AUTHOR]

In this paper, the Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) technology is adopted to monitor the Line of Sight (LOS) displacement of Fushun West Opencast Coal Mine (FWOCM) and its surrounding areas in northeast China using Sentinel-1 Synthetic Aperture Radar (SAR) images acquired from 2018 to 2022. The spatial-temporal evolution of urban subsidence and the south-slope landslide are both analyzed in detail. Comparison with ground measurements and cross-correlation analysis via cross wavelet transform with monthly precipitation data are also conducted, to analyze the influence factors of displacements in FWOCM. The monitoring results show that a subsidence basin appeared in the urban area near the eastern part of the north slope in 2018, with settlement center located at the intersection of E3000 and fault F1. The Qian Tai Shan (QTS) landslide on the south slope, which experienced rapid sliding during 2014 to 2016, presents seasonal deceleration and acceleration with precipitation, with the maximum displacement in vicinity of the Liushan paleochannel. The results of this paper have fully taken in account for the complications of large topographic relief, geological conditions, spatial distribution and temporal evolution characteristics of surface displacements in opencast mining area. The wide range and long time series dynamic monitoring of opencast mine are of great significance to ensure mine safety production and geological disaster prevention in the investigated mining area. [ABSTRACT FROM AUTHOR]

Disruption to our daily business and functional lives is becoming more frequent, complex and costly. As leaders, what do we do with what we know, the support and tools we have, and our knowledge regarding the resources we need to acquire to navigate this disrupted world? One thing is clear: no one can do it alone. This is not a new concept — the ancient Greeks understood the power of the group. This paper argues that collaboration is the key to amplified knowledge, ability, energy, foresight and innovation, as there is obvious synergy when individuals, groups or organisations join together in a shared vision and with a dedicated purpose. This paper describes a process model developed by the Mid-Atlantic Center for Emergency Management & Public Safety to transform operational functions and spark quality engagement, the synergy of ideas and outcomes, and enhanced sustainability of purpose. This model uses a blend of new knowledge and experiences to build on collaboration models of the past, and has proven to be a success. [ABSTRACT FROM AUTHOR]

Purpose: The Astroworld concert tragedy is used as an example of crisis (mis)management and the potential utility of the 4R model. Although the 4R model has been implemented in high-risk emergency management situations, it is useful in the PR field because of its actionable approach, creating a way for practitioners to prepare for and manage crisis situations. Design/methodology/approach: This is an analysis of the crisis that occurred at Astroworld, spanning preparation, day-of events, casualties and enduring reputational impact. The paper applies the 4R method to the Astroworld tragedy to show how it could have lessened or even prevented the tragedy. Finally, the SCCT model is used to explain why the official post-crisis statements were ineffective. Findings: Social media has heightened the importance of a quick and effective organizational response to risk and crisis situations because poor responses can go viral quickly. However, social media also provides intelligence and crowd sourced information that can inform PR practitioners of emerging crisis scenarios. It is also an underutilized tool for two-way communication during crises. Practical implications: The 4R approach is beneficial to general practitioners as it simplifies crisis best-practices, something essential for quick action. As our world changes and becomes less predictable, practitioners must have a clear plan to protect their organizations and the public surrounding them. This approach includes reduction, readiness, response and recovery, which are all essential in crisis communication. Originality/value: The 4R method has not been explored or applied in the PR field. This paper highlights how the model has been utilized in the emergency management field and illustrates the way 4R can serve the PR field. [ABSTRACT FROM AUTHOR]

Understanding the impact of various climate forcing agents, such as aerosols, on extreme precipitation is socially and scientifically vital. While anthropogenic absorbing aerosols influence Earth's energy balance and atmospheric convection, their role in extreme events remains unclear. This paper uses convective‐resolving radiative‐convective‐equilibrium simulations, with fixed solar radiation, to investigate the influence of absorbing aerosols on extreme precipitation comprehensively. Our findings reveal an underappreciated mechanism through which absorbing aerosols can, under certain conditions, strongly intensify extreme precipitation. Notably, we demonstrate that a mechanism previously reported for much warmer (hothouse) climates, where intense rainfall alternates with multi‐day dry spells, can operate under current realistic conditions due to absorbing aerosol influence. This mechanism operates when an aerosol perturbation shifts the lower tropospheric radiative heating rate to positive values, generating a strong inhibition layer. Our work highlights an additional potential effect of absorbing aerosols, with implications for climate change mitigation and disaster risk management. Plain Language Summary: Aerosols, particles suspended in the atmosphere, can interact with the incoming solar radiation by scattering or absorbing it. Aerosol species that absorb solar radiation generate local warming of the atmosphere. This local warming changes the vertical profile of temperature and by that affects cloud and precipitation development. In this paper we use idealized computer simulations to investigate the effect of absorbing aerosols on precipitation, and specifically on extreme precipitation events in the tropics. We demonstrate that under certain conditions, absorbing aerosols can strongly enhance extreme precipitation even despite reducing the mean. We show that this trend can be explained by a mechanism previously reported for much warmer climate conditions than currently found on Earth, involving heating by radiation of the lower part of the troposphere. These results have implications for climate change mitigation and disaster risk management. Key Points: The effect of absorbing aerosol on extreme precipitation is examined in idealized convective‐resolving radiative‐convective‐equilibrium simulationsAerosol perturbation that shifts the lower tropospheric radiative heating rate to positive values strongly enhances extreme precipitationThis trend is explained by a mechanism reported before for hothouse climate conditions involving a shift into an "episodic deluge" regime [ABSTRACT FROM AUTHOR]

This paper presents a Laplace transform model for an urban tunnel ventilation system. This model allows one to witness higher performance for supervisory control and data acquisition (SCADA) in terms of monitoring and control of an urban area tunnel based on measurement systems. This proposed model illustrates the ventilation control system framework as well as the emergency response system for urban area tunnels such that smoother controllability and higher security in the operation of tunnels can be envisioned. The salient contributions of this work can be stated as a novel method for modeling tunnel ventilation systems and the implementation of an emergency response plan for a futuristic intelligent transportation system. The simulation results exhibit that the proposed model outperforms the ventilation system in the high-density traffic jams and further the efficient operation of the tunnel. Likewise, comparison results and experimental results are addressed to emphasize the validation of this method and to be helpful in proving the reliability of the results obtained in this study. These results show that the ventilation control system reaches the desired CO value either in high-traffic volume conditions or in normal traffic conditions. [ABSTRACT FROM AUTHOR]

The main objective of the paper is analysis and proposal of a concept for establishing an efficient system for disaster management in the Western Balkan countries. After the breakup of Yugoslavia (1992), there has been no effective system for managing emergency situations, while cross-border cooperation in this respect does not exist at all. The paper provides an overview of the situation in the field of emergency and crisis management in five countries of the region and a concept of promotion and cross-border cooperation in this field. The results of the research show that no country in the region has adequate emergency and disaster management system and that, regardless of the negative experiences, an efficient multilateral cooperation system has not been established so far in this field (there is neither regulatory framework nor proposals for the model of organization and for the procedures or technical mechanisms that would make the above possible). Therefore, the concept of establishing the Regional Center for Disaster Management in the Western Balkans territory (RCDM-WB) is proposed as a first step in handling disaster situations that arise from natural phenomena or technical and technological accidents. This is the first scientifically developed proposal of this kind for the above-mentioned region. [ABSTRACT FROM AUTHOR]

Energy is known as the lifeline of national development, and from the last decade or so, the security of human energy supply has been frequently disturbed by natural disasters due to global warming and frequent geological activities. In this paper, by combing the literature, we found that the past literature on the relationship between energy and natural disasters mainly focused on measuring energy consumption under natural disasters, but less on the integrated evaluation of human economic activities, energy security and natural disasters, and less on the evaluation of the energy governance efficiency of each provincial, municipal, and autonomous region government in preventing and managing exposure to natural disasters from the perspective of Chinese provinces. Therefore, in order to fill the gap in the literature in this field, this paper collects panel data of energy consumption efficiency stages and natural disaster treatment stages from 2013 to 2017 for 30 provinces in China (excluding Hong Kong, Macao and Taiwan as well as Tibet Autonomous Region) and uses the two-stage undesirable dynamic DDF model as a framework to study the relationship between economic, environmental pollution and natural disasters for the sample data and to analyze the phase-by-phase evaluation of energy and natural disaster efficiency and make corresponding policy recommendations. The following conclusions are drawn: (1) The overall efficiency of China's eastern coastal provinces is higher than that of the central and western provinces. (2) The first-stage efficiency of Chinese provinces is better than the second stage, and the difference in efficiency of the first stage of each province is smaller than that of the second stage. (3) In terms of the efficiency of disaster prevention and relief inputs, the efficiency values are generally lower in most regions of China. (4) Finally, the annual efficiency of natural disaster losses is not high in all regions, and the efficiency values are higher in the eastern coastal regions than in the central and western regions. Accordingly, this paper proposes that each province should formulate relevant disaster prevention and economic development strategies according to regional characteristics, while the central government should also propose locally appropriate coordinated governance policies to effectively control carbon dioxide emissions and air pollution, as well as increase disaster prevention publicity and incorporate disaster prevention education-related work into the performance assessment mechanism of local governments to promote the interactive development of the two. [ABSTRACT FROM AUTHOR]

Against the backdrop of increasingly severe global climate change, the risk of rainstorm-induced waterlogging has become the primary threat to the safety of historic and cultural districts worldwide. This paper focuses on the historic and cultural districts of Beijing, China, and explores techniques and methods for identifying extreme rainstorm warnings in cultural heritage areas. Refined warning and forecasting have become important non-engineering measures to enhance these districts' waterlogging prevention control and emergency management capabilities. This paper constructs a rainstorm-induced waterlogging risk warning model tailored for Beijing's historical and cultural districts. This model system encompasses three sets of models: a building waterlogging early-warning model, a road waterlogging early-warning model, and a public evacuation early-warning model. During the construction of the model, the core concepts and determination methods of "1 h rainfall intensity water logging index" and "the waterlogging risk index in historical and cultural districts" were proposed. The construction and application of the three models take into full account the correlation between rainfall intensity and rainwater accumulation, while incorporating the characteristics of flood resilience in buildings, roads, and the society in districts. This allows for a precise grading of warning levels, leading to the formulation of corresponding warning response measures. Empirical tests have shown that the construction method proposed in this paper is reliable. The innovative results not only provide a new perspective and method for the early-warning of rainstorm-induced waterlogging, but also offer scientific support for emergency planning and response in historical and cultural districts. [ABSTRACT FROM AUTHOR]

The notion of the smart city involves embedding Industry 4.0 technologies to improve the lives of inhabitants in urban environments. Within this context, smart city data layers (SCDLs) concern the integration of extra tiers of information for the purposes of improving communication potential. Under the Industry 4.0 technology grouping, advanced communication technologies, such as virtual reality (VR), further the opportunities to model, recreate, evaluate and communicate scenarios that potentially improve citizens lives at multiple SCDL scales in a smart cities context. The use of added contextual information in SCDLs is of special interest for emergency planning situations at the building scale. In this research, a literature review to understand the current approaches for the use, development and evaluation of VR applications in the context of emergency planning was conducted. The results indicated four main categories of relevant challenges for these types of applications, for which recommendations and a roadmap for VR development are presented. In total, the study identified 10 commonly occurring challenges (e.g., optimization and discomfort) and 19 solution directions (e.g., model construction and spatial directions) in related articles when considering the development of VR for spatial planning and emergency situations. [ABSTRACT FROM AUTHOR]

Intelligent ship navigation scheduling and planning is of great significance for ensuring the safety of maritime production and life and promoting the development of the marine economy. In this paper, an intelligent ship scheduling and path planning method is proposed for a practical application scenario wherein the emergency rescue center receives rescue messages and dispatches emergency rescue ships to the incident area for rescue. Firstly, the large-scale sailing route of the task ship is pre-planned in the voyage planning stage by using the improved A* algorithm. Secondly, the full-coverage path planning algorithm is used to plan the ship's search route in the regional search stage by updating the ship's navigation route in real time. In order to verify the effectiveness of the proposed algorithm, comparative experiments were carried out with the conventional algorithm in the two operation stages of rushing to the incident sea area and regional search and rescue. The experimental results show that the proposed algorithm can adapt to emergency search and rescue tasks in the complex setting of the sea area and can effectively improve the efficiency of the operation, ensure the safety of the operation process, and provide a more intelligent and efficient solution for the planning of maritime emergency rescue tasks. [ABSTRACT FROM AUTHOR]

Disaster Risk Management (DRM) is complex due to interacting climate risks from interacting hazards and sectors. We develop a synthetic multi‐risk test case to explore the effects of these interactions on decision‐making under deep uncertainty. The test case accounts for changes in hazard impacts and occurrence frequency due to interactions between floods and droughts. Interactions between the shipping, housing and agricultural sectors are considered as well. We use this test case to explore the utility of the Dynamic Adaptive Policy Pathways for Multi‐Risk (DAPP‐MR) framework. DAPP‐MR has been introduced to assess DRM policies' effectiveness under deep uncertainties and to develop integrated adaptive strategies considering interactions across hazards, sectors and time. With the test case, we show that the stage‐wise approach of DAPP‐MR, which gradually increases the complexity of the analysis, can facilitate the evaluation process. Earlier stages of the analysis can be used to establish the direct cause‐effect relations, later stages allow us to identify whether additional interacting factors have a significant effect on the direct cause‐effect relations. As a result, decision‐makers can gain insights into dependencies and their relevance for developing short‐to long‐term strategies under deep uncertainty. We show that multi‐risk interactions can lead to non‐linear effects that influence the outcome of the policy analysis, for example, the indirect influence of a decision in one sector on another. Future work could investigate further improving the operationalization of this staged approach as well as extending the set of uncertainties, dynamics and decision‐rules accounted for in the multi‐risk test case. Plain Language Summary: This paper addresses the complex challenge that many regions face when dealing with multiple interconnected disasters, like floods, droughts and earthquakes. Traditional Disaster Risk Management methods often fall short, particularly in long‐term planning that considers factors such as climate change. We apply a step‐by‐step approach known as "Dynamic Adaptive Policy Pathways for Multi‐Risk (DAPP‐MR)" to assist decision‐makers in better understanding and planning for these intertwined risks over time. This paper employs a hypothetical test case where different sectors (e.g., agricultural sector) seek effective ways to prepare for and respond to flood and drought risks. The DAPP‐MR method facilitates this by breaking down the process into smaller, more manageable steps. This approach allows for an easier understanding of the direct effects of disasters and gradually incorporates more complex interactions between different risks. Our findings suggest that this step‐by‐step method can aid decision‐makers in grasping the connections between various factors and their significance in formulating both short‐ and long‐term strategies. The study also reveals that interactions between different risks can produce unexpected, nonlinear effects, adding complexity to the interpretation of policy outcomes. Key Points: A multi‐risk modeling case with interacting hazards and sectors is created to explore effects for decision‐making under deep uncertaintyDynamic Adaptive Policy Pathways for Multi‐Risk has proven effective for pathway analysis to grasp interactions and their relevance through a structured, stage‐by‐stage approachMulti‐risk interactions can alter the decision‐making outcome because of changes in performance or timings of potential pathways [ABSTRACT FROM AUTHOR]

This research paper explores the integration of novel technologies in hospital emergency evacuations, particularly in Operating Rooms (ORs) and Emergency Departments (EDs). It examines the application of advanced tools like simulation modeling, Building Information Modeling (BIM), Digital Twin technology, sensor data, and Artificial Intelligence (AI) to improve evacuation strategies in the building. The study extends to in-depth case studies for assessing the practicality of existing protocols, while also highlighting the critical importance of staff training and preparedness. Additionally, it addresses the ethical and psychological impacts of emergencies on patients and healthcare staff, underscoring the need for technology to be complemented with human-centered care. The paper concludes by emphasizing the ongoing necessity for innovative research in enhancing safety and operational resilience in healthcare emergency management. [ABSTRACT FROM AUTHOR]

Background: Public health emergencies are characterized by uncertainty, rapid transmission, a large number of cases, a high rate of critical illness, and a high case fatality rate. The intensive care unit (ICU) is the "last line of defense" for saving lives. And ICU resources play a critical role in the treatment of critical illness and combating public health emergencies. Objective: This study estimates the demand for ICU healthcare resources based on an accurate prediction of the surge in the number of critically ill patients in the short term. The aim is to provide hospitals with a basis for scientific decision-making, to improve rescue efficiency, and to avoid excessive costs due to overly large resource reserves. Methods: A demand forecasting method for ICU healthcare resources is proposed based on the number of current confirmed cases. The number of current confirmed cases is estimated using a bilateral long-short-term memory and genetic algorithm support vector regression (BILSTM-GASVR) combined prediction model. Based on this, this paper constructs demand forecasting models for ICU healthcare workers and healthcare material resources to more accurately understand the patterns of changes in the demand for ICU healthcare resources and more precisely meet the treatment needs of critically ill patients. Results: Data on the number of COVID-19-infected cases in Shanghai between January 20, 2020, and September 24, 2022, is used to perform a numerical example analysis. Compared to individual prediction models (GASVR, LSTM, BILSTM and Informer), the combined prediction model BILSTM-GASVR produced results that are closer to the real values. The demand forecasting results for ICU healthcare resources showed that the first (ICU human resources) and third (medical equipment resources) categories did not require replenishment during the early stages but experienced a lag in replenishment when shortages occurred during the peak period. The second category (drug resources) is consumed rapidly in the early stages and required earlier replenishment, but replenishment is timelier compared to the first and third categories. However, replenishment is needed throughout the course of the epidemic. Conclusion: The first category of resources (human resources) requires long-term planning and the deployment of emergency expansion measures. The second category of resources (drugs) is suitable for the combination of dynamic physical reserves in healthcare institutions with the production capacity reserves of corporations. The third category of resources (medical equipment) is more dependent on the physical reserves in healthcare institutions, but care must be taken to strike a balance between normalcy and emergencies. [ABSTRACT FROM AUTHOR]

The COVID-19 shock resulted in a large number of people becoming newly poor in Bangladesh, for whom recovery was slow and difficult. In response, BRAC implemented a nationwide program – credit, business planning support, and mentoring – targeting the economic recovery of the new poor. This paper estimates its impact using a mixed method and finds that the program had a significant positive effect on employment, income, and assets, indicating a faster economic recovery of program participants. The learnings from this program can have major policy implications for future disaster responses targeting livelihood recovery, specifically during the time-sensitive transitory phase from relief to long-term development. [ABSTRACT FROM AUTHOR]