Effective Emergency Response Research Articles

효과적인 남북한 재난대응 협력을 위한 법제도적 문제 고찰

본 연구는 효과적인 남북한 재난대응 협력을 위한 법제도적 문제를 살펴보기 위한 연구이다. 연구에서는 과거 주요한 남북 재난대응 협력사례를 살펴보고, 북한지역에서의 재난 대응을 위한 현재 한국의 법적, 제도적 문제를 고찰하고 이를 개선하는 방안을 제시 할 것이다. 남북한 간의 정치적, 군사적 이슈로 인한 마찰과 교류의 단절은 북한지역에서의 재난 발생 시 효율적인 대응과 지원을 어렵게 한다. 하지만 재난대응과 인도주의적 지원은 시의적절하고 충분해야만 그 목적을 달성할 수 있는 만큼, 효율적이고도 신속한 개입이 필요하다. 이를 위하여 북한에서 발생한 재난의 종류에 따른 접경지역 지방자치단체와 중앙정부의 행동 규범이 필요하다. 또한 인도주의적 지원 시 지원물품 품목 및 지원수단 등이 적혀있는 매뉴얼이 필요하며 이 매뉴얼의 작동을 위한 법적제도의 정비가 필요할 것이다.

Humanitarian disaster for Rohingya refugees: impending natural hazards and worsening public health crises.

Humanitarian disaster for Rohingya refugees: impending natural hazards and worsening public health crises.

Dispatch Guided Allocation Optimization for Effective Emergency Response

Plant-pollinator interaction networks are bipartite networks representing the mutualistic interactions between a set of plant species and a set of pollinator species. Data on these networks are collected by field biologists, who count visits from pollinators to flowers. Ecologists study the structure and function of these networks for scientific, conservation, and agricultural purposes. However, little research has been done to understand the underlying mechanisms that determine pairwise interactions or to predict new links from networks describing the species community. This paper explores the use of latent factor models to predict interactions that will occur in new contexts (e.g. a different distribution of the set of plant species) based on an observed network. The analysis draws on algorithms and evaluation strategies developed for recommendation systems and introduces them to this new domain. The matrix factorization methods compare favorably against several baselines on a pollination dataset collected in montane meadows over several years. Incorporating both positive and negative implicit feedback into the matrix factorization methods is particularly promising.

Sustained Observations of Changing Arctic Coastal and Marine Environments and Their Potential Contribution to Arctic Maritime Domain Awareness: A Case Study in Northern Alaska

Increased maritime activities and rapid environmental change pose significant hazards, both natural and technological, to Arctic maritime operators and coastal communities. Currently, U.S. and foreign research activities account for more than half of the sustained hazard-relevant observations in the U.S. maritime Arctic, but hazard assessment and emergency response are hampered by a lack of dedicated hazard monitoring installations in the Arctic. In the present study, we consider a number of different sustained environmental observations associated with research into atmosphere-ice-ocean processes, and discuss how they can help support the toolkit of emergency responders. Building on a case study at Utqiaġvik (Barrow), Alaska, we investigate potential hazards in the seasonally ice-covered coastal zone. Guided by recent incidents requiring emergency response, we analyze data from coastal radar and other observing assets, such as an ice mass balance site and oceanographic moorings, in order to outline a framework for coastal maritime hazard assessments that builds on diverse observing systems infrastructure. This approach links Arctic system science research to operational information needs in the context of the development of a Common Operational Picture (COP) for Maritime Domain Awareness (MDA) relevant for Arctic coastal and offshore regions. A COP in these regions needs to consider threats not typically part of the classic MDA framework, including sea ice or slow-onset hazards. An environmental security and MDA testbed is proposed for northern Alaska, building on research and community assets to help guide a hybrid research-operational framework that supports effective emergency response in Arctic regions.

Emergency Department and Inpatient Health Care Services Utilization by the Elderly Population: Hurricane Sandy in The State of New Jersey.

In this investigation, we reported the increase in emergency department and inpatient admission cases during the month of November 2012 post Hurricane Sandy as compared with baseline (November 2010, 2011, and 2013) for elderly patients aged 65 and up. Medical claims data for patients aged 65 and over treated at emergency department and inpatient health care facilities in New Jersey were analyzed to examine the surge in frequencies of diagnoses treated immediately following Hurricane Sandy. The differences were quantified using gap analysis for 2 years before and 1 year after the event. There was an average increase of 1700 cases for the month of November 2012 relative to baseline for the top 15 most frequently diagnosed emergency department medical conditions. On a daily basis, a volume increase by an average 57 cases could be expected, including significant numbers of limb fractures and other trauma cases for these most frequently encountered medical conditions. Understanding the surge level in medical services needed in emergency departments and inpatient facilities during a natural disaster aftermath is critical for effective emergency preparation and response for the elderly population. (Disaster Med Public Health Preparedness. 2018;12:730-738).

Comparison of Electromagnetic Wave Sensors with Optical and Low-frequency Spectroscopy Methods for Real-time Monitoring of Lead Concentrations in Mine Water

The feasibility of using novel electromagnetic wave sensors for real-time monitoring of metal pollution in water was assessed. Five solutions with different concentrations of lead (0, 1, 10, 50, 100 mg/L) were measured using several sensing methods: UV–Vis spectroscopy, low frequency capacitance and resistance measurements, and two sensing systems based on microwave technology. With this last approach, two sensing devices were used: a resonant cavity and a planar sensor with gold interdigitated electrode design printed on a PTFE substrate with a protective PCB lacquer coating. Results confirmed the ability of these systems to quantify the lead concentration as changes in spectrum signal at specific frequencies of the electromagnetic spectrum. Spectra were unique, with clearly observed shifts in the resonant frequencies of the sensors when placed in direct contact with different lead solutions, demonstrating the possibility of continuous monitoring with great sensitivity, selectivity, and high spatial and temporal resolution. Consequently, determination of trace and toxic metals using microwave spectroscopy is a promising alternative to traditional grab-sampling and laboratory based analyses. On-line and continuous monitoring of real-time metal concentrations offers the potential for a more effective emergency response and the platform for better scientific understanding and remediation of contaminated mine drainage.

Improving Role of Construction Industry for More Effective Post-Disaster Emergency Response To Road Infrastructure in Indonesia

Geo- and hydro-meteorological disasters typically caused disruptive impact to road networks due to damaged road infrastructure, which in turn disconnect access to and isolate the disaster affected areas. Road clearing work and emergency road recovery operation are considered a priority to reconnect the access during post-disaster emergency response. However, the operation is not always smooth and in many cases delayed due to various problems. An investigation is conducted to understand the current practice of post-disaster emergency road recovery operation in Indonesia and to study possible participation of construction industry in order to improve its effectiveness. In-depth interviews with Local Disaster Management Agencies (BPBDs) and local road agencies in West Java Province were conducted to understand current practices in emergency road recovery operation and to view perspectives on local contractor participation. The surveys showed supports from the local governments for contractor involvement as long as it is still under guidance of related agencies (Ministry of Public Works and Housing) despite some possible obstacles from the current regulation that may hamper contractors’ participation, which indicate that there is a potential role of construction industry for more effective post-disaster emergency response, provided that contractor associations are involved and existing procurement regulation is improved.

Learning from experience: emergency response in schools

In an emergency, schools are responsible for the safety of students until they can be reunited with their families. This study explored emergencies (i.e. bomb threat, a flood, and an earthquake) in three case study schools in New Zealand. Within each case, a selection of stakeholders (i.e. school leaders, staff, and parents) shared their experiences of responding to emergency events in the school. Lessons from participants’ experiences established factors before, during, and after an emergency that contribute to an effective response. Foremost among those factors was the importance of prior preparation. The study also identified recurring response activities, irrespective of emergency type, which enabled the development of a six-stage model of an effective school-based emergency response. The stages are: (1) Alerts; (2) Safety behaviours; (3) Response actions; (4) Student release/Family reunification; (5) Temporary school closure; and (6) Business as usual. The present study contributes to our understanding of research investigating how schools respond to emergencies and therefore seeks to enhance school safety efforts.

Secure IoT-Based, Incentive-Aware Emergency Personnel Dispatching Scheme with Weighted Fine-Grained Access Control

Emergency response times following a traffic accident are extremely crucial in reducing the number of traffic-related deaths. Existing emergency vehicle dispatching systems rely heavily on manual assignments. Although some technology-assisted emergency systems engage in emergency message dissemination and path planning, efficient emergency response is one of the main factors that can decrease traffic-related deaths. Obviously, effective emergency response often plays a far more important role in a successful rescue. In this article, we propose a secure IoT-based and incentive-aware emergency personnel dispatching scheme (EPDS) with weighted fine-grained access control. Our EPDS can recruit available medical personnel on-the-fly, such as physicians driving in the vicinity of the accident scene. An appropriate incentive, such as paid leave, can be offered to encourage medical personnel to join rescue missions. Furthermore, IoT-based devices are installed in vehicles or wearable on drivers to gather biometric signals from the driver, which can be used to decide precisely which divisions or physicians are needed to administer the appropriate remedy. Additionally, our scheme can cryptographically authorize the assigned rescue vehicle to control traffic to increase rescue efficacy. Our scheme also takes advantage of adjacent roadside units to organize the appropriate rescue personnel without requiring long-distance communication with a trusted traffic authority. Proof of security is provided and extensive analyses, including qualitative and quantitative analyses and simulations, show that the proposed scheme can significantly improve rescue response time and effectiveness. To the best of our knowledge, this is the first work to make use of medical personnel that are close by in emergency rescue missions.

Advancing Sodium-Based Batteries for Grid-Scale Energy Storage

Development of safe, low-cost, grid-scale electrical energy storage remains a national priority, critical to agile, reliable energy distribution, transformative renewable energy integration, effective emergency response, and even successful national defense initiatives. Viable candidate energy storage systems must be able to reliably provide the high capacity and power needed to meet evolving electrical demands while remaining cost-effective and safe. With current large scale battery technologies challenged by high cost, limited cyclability, and potentially hazardous runaway reaction behaviors, there is a clear need to develop alternative battery technologies. Here, I will describe a new generation of intermediate temperature molten sodium-based batteries, enabled by the solid state electrolyte NaSICON (Na Super Ion CONductor). NaSICON provides exceptional low-to-intermediate temperature sodium ion conductivity, exhibits excellent chemical and mechanical stability, and can be produced in a range of form factors on an industrial scale. Integrating molten sodium anodes, NaSICON solid state electrolytes, and AlCl3-based molten salt catholytes, we create high performance, all-inorganic battery constructs that operate below 200oC and avoid hazards associated with runaway exothermic reactions, polymer separators, and organic electrolytes used in other batteries. I will describe the design and scalable performance (up to 250Wh) of several emerging intermediate temperature molten salt technologies including Na-NiCl2 and Na-I2. These promising, intermediate temperature technologies boast coulombic efficiencies near 100% and energy efficiencies >80% through months of stable electrochemical cycling. Moreover, accelerated rate calorimetry verifies the inherent safety of these molten salt chemistries, revealing neither the runaway exothermic reactions nor hazardous pressurized gas generation that plague other large-scale battery systems. The encouraging performance of these intermediate temperature molten salt battery systems promises new opportunities to meet the need for reliable, safe, and cost-effective solutions to growing national challenges in grid-scale electrical energy storage. Sandia National Laboratories is a multi-mission laboratory managed and operated by National Technology and Engineering Solutions of Sandia, LLC., a wholly owned subsidiary of Honeywell International, Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525.

Redefining and Measuring Resilience in Emergency Management Systems

Inherent limitations of controlling risks in complex socio-technical systems were revealed in several major catastrophic disasters such as nuclear meltdown in Fukushima Daiichi nuclear power plant in 2011, well blowout in Deepwater Horizon drilling rig in 2010, and Hurricane Katrina in 2005. While desired risk management leans toward the prevention of such unwanted events, the mitigation of their impact becomes more important and emergency response operations provide the last line of protection against disasters (Kanno, Makita, & Furuta, 2008). In response to September 11 terrorist attack at World Trade Center in New York, U.S. Government launched the National Incident Management System (NIMS), an integrated national and multi-jurisdictional emergency preparedness and response program (Department of Homeland Security, 2008). The NIMS framework is characterized by a common operating picture, interoperability, reliability, scalability and portability, and resilience and redundancy (Department of Homeland Security, 2008). Among these characteristics, effective emergency response operations require resilience because planned-for actions may not be implementable and therefore the emergency response organizations must adapt to and cope with uncertain and changing environment (Mendonca, Beroggi, & Wallace, 2003). There have been many attempts to define resilience in various disciplines (Hollnagel, Woods, & Leveson, 2007). Nevertheless, such attempts for emergency management systems (EMS) is still scarce in the existing body of resilience literature. By considering traits of EMS, this study proposes the definition of resilience as ‘ a system’s capability to respond to different kinds of disrupting events and to bring the system back to a desired state in a timely manner with efficient use of resources, and with minimum loss of performance capacity.’ In order to model resilience in EMS, the U.S. NIMS is chosen because it allows for investigation of resilient behavior among different components that inevitably involve both human agents and technological artifacts as joint cognitive systems (JCSs) (Hollnagel & Woods, 2005). In the NIMS, the largest JCS comprises five critical functions: Command, Planning, Operations, Logistics and Finance & Administration (F&A) (Department of Homeland Security, 2008). External stimuli or inputs to this JCS are events that occur outside of its boundary such as uncontrolled events. When these events do occur, they are typically perceived by the ‘boots-on-the-ground’ in the Operations function. The perceived data are reported and transported to the Planning function in which such data are transformed into useful and meaningful information. This information provides knowledge base for generating a set of decisions. Subsequently, Command function selects some of those decisions and authorizes them with adequate resources so that Operations actually take actions for such decisions to the uncontrolled events. This compensation process continues until the JCS achieves its systematic goal which is to put the event under control. On the other hand, Logistics feeds required and requested resources such as workforce, equipment and material for the system operations and F&A does the accounting of resources as those resources are actually used to execute its given missions. Such JCS utilizes two types of memory: a collective working memory (CWM) can be manifested in the form of shared displays, document or whiteboards used by teams; similarly, collective long-term memory (CLTM) can take forms of past accident reports, procedures and guidelines. Based on this conceptual framework for resilience of emergency operations, five Resilient Performance Factors (RPFs) are suggested to make resilience operational in EMS. Such RPFs are adaptive response, rapidity of recovery, resource utilization, performance stability and team situation awareness. Adaptation is one of the most obvious patterns of resilient performance (Leveson et al., 2006; Rankin, Lundberg, Woltjer, Rollenhagen, & Hollnagel, 2014). Another factor that typifies resilience of any socio- technical system is how quickly or slowly it bounces back from perturbations (Hosseini, Barker, & Ramirez-Marquez, 2016). In most systems, resources are constrained. Hence, resilience requires the effective and efficient use of resources to varying demands. As such demands persist over time, the system’s performance level tends to diminish. For the EMS to remain resilient, its performance should be maintained in a stable fashion. Finally, EMS is is expected to possess the ability to perceive what is currently taking place, to comprehend what such occurrence actually means, and to anticipate what may happen and decide what to do about it. When this occurs within a team, it is often referred to as team situation awareness (Endsley, 1995; McManus, Seville, Brunsden, & Vargo, 2007). This resilience model for EMS needs validation and many assumptions and simplifications made in this work require further justification. This model will be discussed and validated by using subsequent data collection from Emergency Operations Training Center operated by Texas A&M Engineering Extension Service (TEEX) and will be reported in future publications.

An operational procedure for rapid flood risk assessment in Europe

Abstract. The development of methods for rapid flood mapping and risk assessment is a key step to increase the usefulness of flood early warning systems and is crucial for effective emergency response and flood impact mitigation. Currently, flood early warning systems rarely include real-time components to assess potential impacts generated by forecasted flood events. To overcome this limitation, this study describes the benchmarking of an operational procedure for rapid flood risk assessment based on predictions issued by the European Flood Awareness System (EFAS). Daily streamflow forecasts produced for major European river networks are translated into event-based flood hazard maps using a large map catalogue derived from high-resolution hydrodynamic simulations. Flood hazard maps are then combined with exposure and vulnerability information, and the impacts of the forecasted flood events are evaluated in terms of flood-prone areas, economic damage and affected population, infrastructures and cities.An extensive testing of the operational procedure has been carried out by analysing the catastrophic floods of May 2014 in Bosnia–Herzegovina, Croatia and Serbia. The reliability of the flood mapping methodology is tested against satellite-based and report-based flood extent data, while modelled estimates of economic damage and affected population are compared against ground-based estimations. Finally, we evaluate the skill of risk estimates derived from EFAS flood forecasts with different lead times and combinations of probabilistic forecasts. Results highlight the potential of the real-time operational procedure in helping emergency response and management.

A new dynamic network flow algorithm using base state amendment model for emergency response

AbstractLarge‐scale earthquake disasters in recent years have caused huge damage to people's lives and property. Quick effective emergency response is the primary task post‐disaster. A dynamic network flow model can be used to obtain an effective emergency material rescue plan for the transportation network. Strong timeliness is a critical factor to emergency response. However, very few efficient algorithms were presented for most dynamic network flow problems. To solve this issue, this article introduces a novel low‐time‐complexity exact algorithm using the continuous‐time dynamic network flow (CTDNF) and the base state with amendment (BSA) model in the geographic information science field. Besides, this new CTDNF‐BSA algorithm is improved to solve more complex cases with dynamic capacity and transmit time in a dynamic transportation network. Both numerical and geographic experiments were conducted to assess the correctness, time and space performance of the presented CTDNF‐BSA algorithm. The experimental results demonstrated that the CTDNF‐BSA algorithm can attain the optimal solution with good computing time and space performance as compared with traditional algorithms. Geographic cases in dynamic situations for real emergency response illustrated that the CTDNF‐BSA algorithm can provide effective decision support for emergency material rescue planning in a dynamic transportation environment.

Development of a national sport event risk management training program for college command groups

The US Department of Homeland Security identified college sport venues as terrorist targets due to the potential for mass casualties and catastrophic social and economic impact. Therefore, it is critical for college sport safety and security personnel to implement effective risk management practices. However, deficiencies have been identified in the level of preparedness of college sport event security personnel related to risk management training and effective emergency response capabilities. To address the industry need, the National Center for Spectator Sports Safety and Security designed, developed, and evaluated a national sport event risk management training program for National Collegiate Athletic Association command groups. The purpose of this article was to provide an overview of the design, development, and evaluation process.

Defining Roles for Pharmacy Personnel in Disaster Response and Emergency Preparedness.

Ongoing provision of pharmaceuticals and medical supplies is of key importance during and following a disaster or other emergency event. An effectively coordinated response involving locally available pharmacy personnel-drawing upon the efforts of licensed pharmacists and unlicensed support staff-can help to mitigate harms and alleviate hardship in a community after emergency events. However, pharmacists and their counterparts generally receive limited training in disaster medicine and emergency preparedness as part of their initial qualifications, even in countries with well-developed professional education programs. Pharmacy efforts have also traditionally focused on medical supply activities, more so than on general emergency preparedness. To facilitate future work between pharmacy personnel on an international level, our team undertook an extensive review of the published literature describing pharmacists' experiences in responding to or preparing for both natural and manmade disasters. In addition to identifying key activities that must be performed, we have developed a classification scheme for pharmacy personnel. We believe that this framework will enable pharmacy personnel working in diverse practice settings to identify and undertake essential actions that are necessary to ensure an effective emergency response and will promote better collaboration between pharmacy team members during actual disaster situations. (Disaster Med Public Health Preparedness. 2017;11:496-504).

A semi-Markov model for post-earthquake emergency response in a smart city

An earthquake significant on the Richter scale occurring in an area with a high population density requires an effective and equitable emergency response plan. Emergency resources are usually located in so-called responding centers. One of the first problems faced by disaster-response management personnel in the rapidly degrading post-earthquake conditions is to gage the hazard rate to which the disaster-affected area is subjected, estimate the time taken to bring the situation under control, also called restoration time, and select the appropriate responding center for relief-and-rescue activities. In this paper, we propose an elaborate semi-Markov model to capture the stochastic dynamics of the events that follow an earthquake, which will be used to quantify the hazard rate to which people are exposed and estimate the restoration time. The model will be further used, via dynamic programming, to determine the appropriate responding center. Our proposed model can be employed in conjunction with a variety of hazard scales and by collecting data on a few parameters related to emergency management. The model will be particularly useful in a smart city, where historic data on events following an earthquake would be systematically and accurately recorded.

The Student Volunteer Army: a 'repeat emergent' emergency response organisation.

This paper seeks to contribute to understanding of the factors associated with an effective emergent emergency response organisation and to provide new insights into this understudied area. It examines, through an analysis of a range of textual resources, the emergence and re-emergence of the Student Volunteer Army (SVA) during the devastating earthquakes in Canterbury, New Zealand, in 2010-11. This evaluation is conducted in relation to the four key features of an effective emergency response organisation: adaptability; direction; leadership; and communication. In addition, the paper aims to further understanding of 'emergency entrepreneurship' and thus of the values and strategies that underpin social entrepreneur organisations in times of normalcy. The paper concludes that the unique position of the SVA as a 'repeat emergent' emergency response organisation enabled it to innovate continually and to improve repeatedly its systems, relationships, and image, such that it exhibited features common to emergent and established emergency response organisations.

Civil Registration and Vital Statistics, Emergencies, and International Law: Understanding the Intersection.

Civil registration and vital statistics (CRVS) systems are typically run by governments to record every birth, adoption, death, marriage, and divorce that occurs among a country's population. Registration of vital events provides individuals with a formal relationship with the State and each other, and is the foundation of a person's identity, nationality, and legal status. At a population level, vital statistics are essential for effective planning and implementation of policies and services. Globally, strong CRVS systems are increasingly recognised as a crucial backbone for redressing health inequities and as a priority in strengthening global health and development efforts. Many countries, however, currently lack adequate and reliable CRVS systems, leaving many people vulnerable to statelessness, limited access to important government services (such as education and health services), and effective legal protection. Public health and humanitarian emergencies in such contexts can expose those already disadvantaged and marginalised to heightened risk. CRVS systems weakened by crises make registration difficult or impossible and unregistered people may be displaced or separated from their families, exacerbating their susceptibility. The presence of a strong CRVS system, therefore, can facilitate effective and cost-effective emergency responses, help prevent exploitation of individuals (particularly women and children), and help to rebuild communities post-crisis. This article will consequently review the international legal mandates that exist to strengthen CRVS systems globally, with particular view to public health and humanitarian emergencies. Identity and citizenship, and the socio-political contexts in which these concepts co-exist, are inevitably interconnected with CRVS. This can create potential for CRVS systems and data to be exploited as a political instrument. Grounding CRVS strengthening in a single binding, human rights law instrument is a potential way forward.

Autonomous evacuation and local community

Purpose The Aso area of Kumamoto Prefecture and the western part of Oita Prefecture in Japan experienced heavy rainfall from midnight until morning on 12 July 2012. Flooding and landslides caused by this torrential rain killed 31 people and injured 11. This paper aims to analyze a time series of flood risk perception and evacuation behavior, and to identify factors that promote effective autonomous evacuation. Design/methodology/approach A time series of flood risk perception and evacuation behavior following the 2012 flood was developed and systematically analyzed. Differences between the data sets (compiled from survey data) for the evacuated group and the non-evacuated group were statistically evaluated. Then, an evacuation behavior model was developed to simulate which households would be likely to evacuate in different scenarios. The relationship between disaster prevention and activities of a local community were also statistically assessed. Findings This study concludes that an assessment of river conditions and evacuation advice from fellow local community members are the factors that most strongly influence and promote autonomous evacuation. This study also revealed that the everyday activities of a local community have the potential to foster effective disaster prevention and emergency responses if they promote the building of relationships between community members. Originality/value The research focused on actual decision-making and autonomous evacuation behavior. Whereas previous studies were limited to the analysis of activities of disaster prevention on a normal day, this study proved that the usual activity level in local community activities and relationships significantly affected evacuation behavior.

Improving Team Performance for Public Health Preparedness.

Between May 2010 and September 2011, the University of Minnesota School of Public Health partnered with the Minnesota Department of Health (MDH) to assess the effect of exercises on team performance during public health emergency response. Participants were divided into 3 research teams exposed to various levels of intervention. Groups consisted of a control group that was given standard MDH training exercises, a didactic group exposed to team dynamics and communication training, and a treatment group that received the didactic training in addition to a post-exercise facilitated debriefing. To assess differences in team performance, teams engaged in 15 functional exercises. Differences in team performance across the 3 groups were identified, although there was no trend in team performance over time for any of the groups. Groups demonstrated fluctuation in team performance during the study period. Attitudinal surveys demonstrated an increase in workplace satisfaction and confidence in training among all groups throughout the study period. Findings from this research support that a critical link exists between training type and team performance during public health emergency response. This research supports that intentional teamwork training for emergency response workers is essential for effective public health emergency response. (Disaster Med Public Health Preparedness. 2017;11:7-10).