ABSTRACT
Increased frequency, intensity, and duration of wildfires are intensifying exposure to direct and smoke-related hazards in many areas, leading to evacuation and smoke-related effects on health and health systems that can affect regions extending over thousands of kilometres. Effective preparation and response are currently hampered by inadequate training, continued siloing of disciplines, insufficient finance, and inadequate coordination between health systems and governance at municipal, regional, national, and international levels. This Review highlights the key health and health systems considerations before, during, and after wildfires, and outlines how a health system should respond to optimise population health outcomes now and into the future. The focus is on the implications of wildfires for air quality, mental health, and emergency management, with elements of international policy and finance also addressed. We discuss commonalities of existing climate-resilient health care and disaster management frameworks and integrate them into an approach that addresses issues of financing, leadership and governance, health workforce, health information systems, infrastructure, supply chain, technologies, community interaction and health-care delivery, before, during, and after a wildfire season. This Review is a practical briefing for leaders and health professionals facing severe wildfire seasons and a call to break down silos and join with other disciplines to proactively plan for and fund innovation and coordination in service of a healthier future.
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Seasons , Smoke , Wildfires , Smoke/adverse effects , Smoke/prevention & control , Wildfires/prevention & control , Environmental Exposure , Disaster Planning , Delivery of Health CareABSTRACT
BACKGROUND: The leaders of health care organizations are grappling with rising expenses and surging demands for health services. In response, they are increasingly embracing artificial intelligence (AI) technologies to improve patient care delivery, alleviate operational burdens, and efficiently improve health care safety and quality. OBJECTIVE: In this paper, we map the current literature and synthesize insights on the role of leadership in driving AI transformation within health care organizations. METHODS: We conducted a comprehensive search across several databases, including MEDLINE (via Ovid), PsycINFO (via Ovid), CINAHL (via EBSCO), Business Source Premier (via EBSCO), and Canadian Business & Current Affairs (via ProQuest), spanning articles published from 2015 to June 2023 discussing AI transformation within the health care sector. Specifically, we focused on empirical studies with a particular emphasis on leadership. We used an inductive, thematic analysis approach to qualitatively map the evidence. The findings were reported in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews) guidelines. RESULTS: A comprehensive review of 2813 unique abstracts led to the retrieval of 97 full-text articles, with 22 included for detailed assessment. Our literature mapping reveals that successful AI integration within healthcare organizations requires leadership engagement across technological, strategic, operational, and organizational domains. Leaders must demonstrate a blend of technical expertise, adaptive strategies, and strong interpersonal skills to navigate the dynamic healthcare landscape shaped by complex regulatory, technological, and organizational factors. CONCLUSIONS: In conclusion, leading AI transformation in healthcare requires a multidimensional approach, with leadership across technological, strategic, operational, and organizational domains. Organizations should implement a comprehensive leadership development strategy, including targeted training and cross-functional collaboration, to equip leaders with the skills needed for AI integration. Additionally, when upskilling or recruiting AI talent, priority should be given to individuals with a strong mix of technical expertise, adaptive capacity, and interpersonal acumen, enabling them to navigate the unique complexities of the healthcare environment.
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Artificial Intelligence , Leadership , Humans , Delivery of Health CareABSTRACT
In the evolving landscape of crisis leadership and emergency management, artificial intelligence (AI) emerges as a potentially transformative force with far-reaching implications. Utilizing the POP-DOC Loop, a comprehensive framework for crisis leadership analysis and decision-making, this paper delves into the diverse roles that AI is poised to play in shaping the future of crisis planning and response. The POP-DOC Loop serves as a structured methodology, encompassing key elements such as information gathering, contextual analysis informed by social determinants, enhanced predictive modeling, guided decision-making, strategic action implementation, and appropriate communication. Rather than offer definitive predictions, this review aims to catalyze exploration and discussion, equipping researchers and practitioners to anticipate future contingencies. The paper concludes by examining the limitations and challenges posed by AI within this specialized context.
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Artificial Intelligence , Disaster Planning , Leadership , Humans , Disaster Planning/organization & administration , Decision MakingABSTRACT
Contemporary telecare systems facilitate the ability for older adults to age in place, keeping them out of residential care facilities and providing numerous quality-of-life advantages for both care receivers (CRs) and caregivers (CGs). However, despite the acceptance of digital health interventions among older adults and their CGs, telecare adoption has been slower than expected. This paper aimed to compare attitudes toward adopting telecare systems between CRs (aging adults) and their CGs (family/friends). Data were collected via an online survey. Respondents included aging adults concerned about their care (CRs) and older adults who cared for an aging loved one (CGs). Analysis of covariance and partial-least-squares techniques were used to examine the relationships between healthcare concerns for older adults, functional telecare benefits, and telecare acceptance. Concerns for healthcare status, mainly driven by CRs, positively impacted telecare acceptance. However, concerns for mental and physical stimulation had a negative relationship with telecare acceptance, while CGs showed a neutral relationship. Telecare's ability to improve healthcare quality and cognitive stimulation positively impacted its acceptance. CGs mainly drove the impact of healthcare quality on telecare acceptance, while the relationship was not significant for CRs. CRs' age reduced telecare acceptance, and higher educational levels of CGs increased telecare acceptance. We found significant differences in telecare acceptance and its drivers between CGs and CRs in the USA. In addition, we discerned that not all healthcare concerns or functional telecare characteristics influenced telecare acceptance equally between the two. Consequently, telecare providers must consider the different needs of constituencies interested in telecare to support the life quality of older adults.
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Caregivers , Independent Living , Quality of Health Care , Telemedicine , Humans , Aged , Female , Male , Surveys and Questionnaires , Caregivers/psychology , Aged, 80 and over , Middle Aged , Quality of Life , Patient Acceptance of Health Care/psychologyABSTRACT
OBJECTIVE: To assess pediatric disaster medicine (PDM) instruction in emergency medicine (EM) residency programs and to identify barriers to integrating these skills into EM training. METHODS: National survey study of United States EM Residency Program Directors (PDs) and Assistant PDs during the 2021-2022 academic year. RESULTS: Of the 186 EM residency programs identified, a total of 24 responses were recorded with a response rate of 12.9 percent. Importance of training was rated 5.79 (standard deviation 2.51) using the Likert scale ranging from 1 to 10. Out of 24 programs, 17 (70.8 percent) do not have any PDM training as part of residency training. Live drill, simulation, and tabletop were identified as most effective methods to deliver PDM training with the Likert scale score of 4.78, 4.6, and 4.47, respectively. Senior trainees' level of -knowledge/skills with family reunification (Likert 2.09/5; chemical-biological-radiological-nuclear explosive 2.95/5) and mass casualty preparation of the emergency department (3.3/5) as assessed by the respondents. The main barrier to education included logistics, eg, space and costs (Likert 3.7/5), lack of didactic time (3.7/5), and limited faculty knowledge, skill, or experience (3.3/5). CONCLUSION: PDM training is lacking and requires standardization. This study highlights the opportunity for the creation of a model for EM resident education in PDM.
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Disaster Medicine , Emergency Medicine , Internship and Residency , Mass Casualty Incidents , Humans , United States , Child , Curriculum , Emergency Medicine/education , Disaster Medicine/education , Surveys and QuestionnairesABSTRACT
BACKGROUND: Disasters are becoming more frequent due to the impact of extreme weather events attributed to climate change, causing loss of lives, property, and psychological trauma. Mental health response to disasters emphasizes prevention and mitigation, and mobile health (mHealth) apps have been used for mental health promotion and treatment. However, little is known about their use in the mental health components of disaster management. OBJECTIVE: This scoping review was conducted to explore the use of mobile phone apps for mental health responses to natural disasters and to identify gaps in the literature. METHODS: We identified relevant keywords and subject headings and conducted comprehensive searches in 6 electronic databases. Studies in which participants were exposed to a man-made disaster were included if the sample also included some participants exposed to a natural hazard. Only full-text studies published in English were included. The initial titles and abstracts of the unique papers were screened by 2 independent review authors. Full texts of the selected papers that met the inclusion criteria were reviewed by the 2 independent reviewers. Data were extracted from each selected full-text paper and synthesized using a narrative approach based on the outcome measures, duration, frequency of use of the mobile phone apps, and the outcomes. This scoping review was reported according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). RESULTS: Of the 1398 papers retrieved, 5 were included in this review. A total of 3 studies were conducted on participants exposed to psychological stress following a disaster while 2 were for disaster relief workers. The mobile phone apps for the interventions included Training for Life Skills, Sonoma Rises, Headspace, Psychological First Aid, and Substance Abuse and Mental Health Services Administration (SAMHSA) Behavioural Health Disaster Response Apps. The different studies assessed the effectiveness or efficacy of the mobile app, feasibility, acceptability, and characteristics of app use or predictors of use. Different measures were used to assess the effectiveness of the apps' use as either the primary or secondary outcome. CONCLUSIONS: A limited number of studies are exploring the use of mobile phone apps for mental health responses to disasters. The 5 studies included in this review showed promising results. Mobile apps have the potential to provide effective mental health support before, during, and after disasters. However, further research is needed to explore the potential of mobile phone apps in mental health responses to all hazards.
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Mental Health , Mobile Applications , Natural Disasters , Humans , Telemedicine/statistics & numerical data , DisastersABSTRACT
OBJECTIVES: The aim of this work was to determine the impact of Moral Distress (MD) in emergency physicians, nurses, and emergency medical service staff at the Rand Memorial Hospital (RMH) in the Bahamas, and the impact of Hurricane Dorian and the COVID-19 pandemic on Moral Distress. METHOD: A cross-sectional study utilizing a 3-part survey, which collected sociodemographic information, Hurricane Dorian and COVID-19 experiences, as well as responses to a validated modified Moral Distress Scale (MDS). RESULTS: Participants with 2 negatively impactful experiences from COVID-19 had statistically significantly increased MD compared to participants with only 1 negatively impactful experience (40.4 vs. 23.6, P = 0.014). Losing a loved one due to COVID-19 was associated with significantly decreased MD (B = - 0.42, 95% CI -19.70 to -0.88, P = 0.03). Losing a loved one due to Hurricane Dorian had a non-statistically significant trend towards higher MD scores (B = 0.34, 95% CI -1.23 to 28.75, P = 0.07). CONCLUSION: The emergency medical staff at the RMH reported having mild - moderate MD. This is one of the first studies to look at the impact of concurrent disasters on MD in emergency medical providers in the Bahamas.
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COVID-19 , Cyclonic Storms , Humans , COVID-19/epidemiology , Cross-Sectional Studies , Pandemics , Hospitals , MoralsABSTRACT
INTRODUCTION: The mass gathering event (MGE) industry is growing globally, including in countries such as Canada. MGEs have been associated with a greater prevalence of injury and illness when compared with daily life events, despite most participants having few comorbidities. As such, adequate health, safety, and emergency medical planning is required. However, there is no single entity regulating these concerns for MGEs, resulting in the responsibility for health planning lying with event organizers. This study aims to compare the legislative requirements for MGE medical response systems in the 13 provinces and territories of Canada. METHODS: This study is a cross-sectional descriptive analysis of Canadian legislation. Lists of publicly available legislative requirements were obtained by means of the emergency medical services directors and Health Ministries. Descriptive statistics were performed to compare legislation. RESULTS: Of the 13 provinces and territories, 10 responded. For the missing 3, a law library review confirmed the absence of specific legislation. Most (n = 6; 60%) provinces and territories referred to provisions in their Public Health laws. Four confirmed that MGE medical response was a municipal or local concern to be addressed by the event organizers. CONCLUSIONS: No provinces could list specific legislation guiding safety, health, and medical response for an MGE.
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Emergency Medical Services , Mass Gatherings , Humans , Cross-Sectional Studies , CanadaABSTRACT
BACKGROUND: In recent years, the fast-paced adoption of digital health (DH) technologies has transformed health care delivery. However, this rapid evolution has also led to challenges such as uncoordinated development and information silos, impeding effective health care integration. Recognizing these challenges, nations have developed digital health strategies (DHSs), aligning with their national health priorities and guidance from global frameworks. The World Health Organization (WHO)'s Global Strategy on Digital Health 2020-2025 (GSDH) guides national DHSs. OBJECTIVE: This study analyzes the DHSs of Tanzania and Germany as case studies and assesses their alignment with the GSDH and identifies strengths, shortcomings, and areas for improvement. METHODS: A comparative policy analysis was conducted, focusing on the DHSs of Tanzania and Germany as case studies, selected for their contrasting health care systems and cooperative history. The analysis involved a three-step process: (1) assessing consistency with the GSDH, (2) comparing similarities and differences, and (3) evaluating the incorporation of emergent technologies. Primary data sources included national eHealth policy documents and related legislation. RESULTS: Both Germany's and Tanzania's DHSs align significantly with the WHO's GSDH, incorporating most of its 35 elements, but each missing 5 distinct elements. Specifically, Tanzania's DHS lacks in areas such as knowledge management and capacity building for leaders, while Germany's strategy falls short in engaging health care service providers and beneficiaries in development phases and promoting health equity. Both countries, however, excel in other aspects like collaboration, knowledge transfer, and advancing national DHSs, reflecting their commitment to enhancing DH infrastructures. The high ratings of both countries on the Global Digital Health Monitor underscore their substantial progress in DH, although challenges persist in adopting the rapidly advancing technologies and in the need for more inclusive and comprehensive strategies. CONCLUSIONS: This study reveals that both Tanzania and Germany have made significant strides in aligning their DHSs with the WHO's GSDH. However, the rapid evolution of technologies like artificial intelligence and machine learning presents challenges in keeping strategies up-to-date. This study recommends the development of more comprehensive, inclusive strategies and regular revisions to align with emerging technologies and needs. The research underscores the importance of context-specific adaptations in DHSs and highlights the need for broader, strategic guidelines to direct the future development of the DH ecosystem. The WHO's GSDH serves as a crucial blueprint for national DHSs. This comparative analysis demonstrates the value and challenges of aligning national strategies with global guidelines. Both Tanzania and Germany offer valuable insights into developing and implementing effective DHSs, highlighting the importance of continuous adaptation and context-specific considerations. Future policy assessments require in-depth knowledge of the country's health care needs and structure, supplemented by stakeholder input for a comprehensive evaluation.
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Artificial Intelligence , Digital Health , Humans , Germany , Tanzania , World Health OrganizationABSTRACT
OBJECTIVES: While person-/patient-centered care aims to influence policymakers' rules and regulations to improve the care of individuals worldwide, exploration of the concept in the context of disaster and public health emergencies as an alternative ethical approach is lacking. This study aims to provide a nuanced understanding of the advantages and challenges of diverse ethical approaches in emergencies, to improve patient care. METHODS: A survey, created after several rounds of Delphi methodology, with 22 statements, was applied to 39 participants from nine different countries. The questionnaire's results, including participants' comments, were analyzed. RESULTS: The results show that practitioners chose to use a combination of diverse ethical approaches in managing victims of disasters and public health emergencies. CONCLUSION: The selection of an approach is context- and situation-dependent and seems to primarily respond to the nature of underlying etiology, creating a possibility to use diverse approaches to offer individualized care on a later occasion and when a flexible surge capacity is available. PRACTICE IMPLICATIONS: The outcomes of this study will enhance the future ethical discussion in person/patient-centered care during situations with limited resources and help to develop necessary ethical and educational guidelines.
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Delivery of Health Care , Disasters , Emergencies , Patient-Centered Care , Humans , Public HealthSubject(s)
COVID-19 , Disaster Planning , Disasters , Military Personnel , Relief Work , United States/epidemiology , Humans , COVID-19/epidemiologyABSTRACT
INTRODUCTION: Disease surveillance is an integral part of public health. These systems monitor disease trends and detect outbreaks, whereas they should be evaluated for efficacy. The United States Centres for Disease Control and Prevention publish Guidelines for Evaluating Surveillance Systems to encourage efficient and effective use of public health surveillance that are accepted worldwide. OBJECTIVE: This study reviews syndromic surveillance during natural and man-made disasters internationally. It aims to (1) review the performance of syndromic surveillance via pre-specified attributes during disaster and to (2) understand its strengths and limitations. METHODS: PubMed was systematically searched for the articles assessing syndromic surveillance during a disaster. A narrative review was carried out based on those articles. Updated Guidelines for Evaluating Public Health Surveillance Systems were used to review performance of systems. RESULTS: 5,059 studies from PubMed were evaluated, and 16 met inclusion criteria. The majority of these studies considered the implementation of syndromic surveillance useable during disaster events. Studies described systems giving relevant and timely information. Simplicity and timeliness were the most highlighted attributes. CONCLUSION: Syndromic surveillance is simple, flexible, useful and usable during a disaster. Timely data can be obtained, but the quality of this type of data is sensitive to incomplete and erroneous reporting; because of this, a standardized approach is necessary to optimize these systems.
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Disasters , Sentinel Surveillance , Humans , United States/epidemiology , Disease Outbreaks/prevention & control , Public Health , Public Health Surveillance , Population SurveillanceABSTRACT
INTRODUCTION: Since 1902, disasters in the Northern Triangle of Central America, which consists of the countries Guatemala, Honduras, and El Salvador, have caused over one-hundred-thousand deaths, affected millions of people, and caused tens of billions of dollars in damages. Understanding the nature and frequency of these events will allow stakeholders to decrease both the acute damages and the long-term deleterious consequences of disasters. STUDY OBJECTIVE: This study provides a descriptive analysis of all disasters recorded in the Emergency Events Database (EM-DAT) affecting Guatemala, Honduras, and El Salvador from 1902-2022. METHODS: Data were collected and analyzed from the EM-DAT, which categorizes disasters by frequency, severity, financial cost, distribution by country, burden of death, number of people affected, financial cost by country, and type of disasters most prevalent in each country. Results are presented as absolute numbers and as a percentage of the overall disaster burden. These trends are then graphed over the time period of the database. RESULTS: The EM-DAT recorded 359 disasters in the Northern Triangle from 1902 through 2022. Meteorologic events (floods and storms) were the most common types of disaster (44%), followed by transport accidents (13%). Meteorologic events and earthquakes were the most severe, as measured by deaths (62%), people affected (60%), and financial cost (86%). Guatemala had the greatest number of disasters (45%), deaths (68%), and affected people (52%). The financial costs of the disasters were evenly distributed between the three countries. CONCLUSION: Meteorologic disasters are the most common and most severe type of disaster in the Northern Triangle. Earthquakes and transport accidents are also common. As climate change causes more severe storms in the region, disasters are likely to increase in severity as well. Governments and aid organizations should develop disaster preparedness and mitigation strategies to lessen the catastrophic effects of future disasters. Missing data limit the conclusions of this study to general trends.
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For the first time in history, the United States surpassed 100 000 overdose-related deaths in a 12-month period, driven by synthetic opioids such as fentanyl. Also, for the first time, potential chemical weapons are readily available on the streets and the dark web. Opioids represent a rare trifecta, used for licit pain management, as an illicit drug of abuse, and with potential use as a weapon of terror. Community-based Response to Drug Overdose (CReDO) is an initiative to unite agencies, disciplines, government, and private partners in 1 coordinated opioid emergencies response plan under nationwide standards, and can be integrated into the disaster medicine discipline due to the risk of mass casualty incidents involving fentanyl or its derivatives. Attention to the opioid crisis through CReDO will save lives by promoting information sharing between disciplines, shortened response time to overdose clusters, community collaboration to identify criminal distribution networks, and holistic approaches to addiction.
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Disaster Medicine , Drug Overdose , Humans , United States , Opioid Epidemic , Analgesics, Opioid/adverse effects , Fentanyl , Drug Overdose/prevention & control , Drug Overdose/epidemiologyABSTRACT
INTRODUCTION: Health care provision depends on reliable critical infrastructure (CI) to power equipment and to provide water for medication and sanitation. Attacks on CI limiting such functions can have a profound and prolonged influence on delivery of care. METHODS: A retrospective analysis of the Global Terrorism Database (GTD) was performed of all attacks occurring from 1970-2020. Data were filtered using the internal database search function for all events where the primary target was "Utilities," "Food or Water Supply," and "Telecommunications." For the purposes of this study, the subtype "Food Supply" was excluded. Events were collated based on year, country, region, and numbers killed and wounded. RESULTS: The GTD listed 7,813 attacks on CI, with 6,280 of those attacks targeting utilities, leading to 1,917 persons directly killed and 1,377 persons wounded. In total, there were 1,265 attacks targeting telecommunications causing 205 direct deaths and 510 wounded. Lastly, 268 attacks targeted the water supply with 318 directly killed and 261 wounded. Regionally, South America had the most attacks with 2,236, followed by Central America and the Caribbean with 1,390. Based on infrastructure type, the most attacks on utilities occurred in El Salvador (1,061), and the most attacks on telecommunications were in India (140). Peru (46) had the most attacks on its water supply. CONCLUSION: The regions with the highest number of total attacks targeting CI have historically been in South America, with more attacks against power and utilities than other infrastructure. Although the numbers of persons directly killed and wounded in these attacks were lower than with other target types, the true impacts on lack of health care delivery are not accounted for in these numbers. By understanding the pattern and scope of these attacks, Counter-Terrorism Medicine (CTM) initiatives can be created to target-harden health care-related infrastructure.
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BACKGROUND: The COVID-19 pandemic was an international systemic crisis which required an unprecedented response to quickly drive the digital transformation of hospitals and health care systems to support high quality health care while adhering to contagion management protocols. OBJECTIVE: To identify and assess the best practices during the COVID-19 pandemic by Chief Information Officers (CIOs) about how to build resilient healthcare IT (HIT) to improve pandemic preparedness and response across global settings and to develop recommendations for future pandemics. METHODS: We conducted a qualitative, interview-based study to sample CIOs in hospitals. We interviewed 16 CIOs from hospitals and health systems in the United States and Abu Dhabi, United Arab Emirates. We used in-depth interviews to capture their perspectives of the preparedness of hospitals' information technology departments for the pandemic and how they lead their IT department out of the pandemic. RESULTS: Results showed that healthcare CIOs were ambidextrous IT leaders who built resilient HIT by rapidly improving existing digital business practices and creating innovative IT solutions. Ambidextrous IT leadership involved exploiting existing IT resources as well as exploring and innovating for continuous growth. IT resiliency focused on four inter-related capabilities: ambidextrous leadership, governance, innovation and learning, and HIT infrastructure. CONCLUSIONS: We propose conceptual frameworks to guide the development of healthcare IT resilience and highlight the importance of organizational learning as an integral component of HIT resiliency.
Subject(s)
COVID-19 , Leadership , Humans , United States , United Arab Emirates/epidemiology , Information Technology , Pandemics , COVID-19/epidemiology , HospitalsABSTRACT
INTRODUCTION: International humanitarian aid during disasters should be needs-based and coordinated in response to appeals from affected governments. We identify disaster and population factors associated with international aid appeal during disasters and hence guide preparation by international humanitarian aid providers. METHODS: In this retrospective database analysis, we searched the Emergency Events Database for all disasters from 1995 to 2015. Disasters with and without international aid appeals were compared by location, duration, type of disaster, deaths, number of people affected, and total estimated damage. Logistic regression was used to examine the association of each factor with international aid appeal. RESULTS: Of 13,961 disasters recorded from 1995 to 2015, 168 (1.2%) involved international aid appeals. Aid appeals were more likely to be triggered by disasters which killed more people (OR 1.29 [95% confidence interval (CI) 1.02-1.64] log10 persons), affected more people (OR 1.85 [95%CI 1.57-2.18] / log10 persons), and occurred in Africa (OR 1.67 [95%CI 1.06-2.62). Earthquakes (OR 4.07 [95%CI 2.16-7.67]), volcanic activity (OR 6.23 [95%CI 2.50-15.53]), and insect infestations (OR 12.14 [95%CI 3.05-48.35]) were more likely to trigger international aid appeals. International aid appeals were less likely to be triggered by disasters which occurred in Asia (OR 0.46 [95%CI 0.29-0.73]) and which were transport accidents (OR 0.12 [95%CI 0.02-0.89]). CONCLUSION: International aid appeal during disasters was associated with greater magnitude of damage, disasters in Africa, and specific types of disasters such as earthquakes, volcanic activity, and insect infestations. Humanitarian aid providers can focus preparation on these identified factors.
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Disasters , Earthquakes , Relief Work , Humans , Altruism , Retrospective Studies , AsiaABSTRACT
OBJECTIVE: Industrial disasters can have a myriad of repercussions ranging from deaths, injuries, and long-term adverse health impacts on nearby populations, to political fallout and environmental damage. This is a descriptive epidemiological analysis of industrial disasters occurring between 1995 and 2021 which may provide useful insight for health-care systems and disaster medicine specialists to better prevent and mitigate the effects of future industrial disasters. METHODS: Data were collected using a retrospective database search of the Emergency Events Database (EM-DATS) for all industrial disasters occurring between January 1, 1995, and December 31, 2021. RESULTS: A total of 1054 industrial disasters were recorded from 1995 to 2021. Most of these disasters occurred in Asia (720; 68.3%), with 131 (12.4%) in Africa, 107 (10.2%) in Europe, 94 (8.9%) in the Americas, and 2 (0.2%) in Oceania. Half of these disasters were explosions (533; 50.6%), 147 (13.9%) were collapses, 143 (13.6%) were fires, 46 (4.4%) were chemical spills, 41 (3.9%) were gas leaks, and 34 (3.2%) were poisonings. There were 6 (0.6%) oil spills and 3 (0.3%) radiation events. CONCLUSIONS: A total of 29,708 deaths and 57,605 injuries were recorded as a result of industrial disasters, and they remain a significant contributor to the health-care risks of both workers and regional communities. The need for specialized emergency response training, the potential devastation of an industrial accident, and the vulnerability of critical infrastructure as terror targets highlight the need to better understand the potential immediate and long-term consequences of such events and to improve health-care responses in the future.