Without a robust evidence base to support recommendations for first aid, health, and medical services at mass gatherings (MGs), levels of care will continue to vary. Streamlining and standardizing post-event reporting for MG medical services could improve inter-event comparability, and prospectively influence event safety and planning through the application of a research template, thereby supporting and promoting growth of the evidence base and the operational safety of this discipline. Understanding the relationships between categories of variables is key. The present paper is focused on theory building, providing an evolving conceptual model, laying the groundwork for exploring the relationships between categories of variables pertaining the health outcomes of MGs.

A content analysis of 54 published post-event medical case reports, including a comparison of the features of published data models for MG health outcomes.

A layered model of essential conceptual components for post-event medical reporting is presented as the Data Reporting, Evaluation, & Analysis for Mass-Gathering Medicine (DREAM) model. This model is relational and embeds data domains, organized operationally, into “inputs,” “modifiers,” “actuals,” and “outputs” and organized temporally into pre-, during, post-event, and reporting phases.

Situating the DREAM model in relation to existing models for data collection vis a vis health outcomes, the authors provide a detailed discussion on similarities and points of difference.

Currently, data collection and analysis related to understanding health outcomes arising from MGs is not informed by robust conceptual models. This paper is part of a series of nested papers focused on the future state of post-event medical reporting.

After a major earthquake, the assignment of scarce mental health emergency personnel to different geographic areas is crucial to the effective management of the crisis. The scarce information that is available in the aftermath of a disaster may be valuable in helping predict where are the populations that are in most need.

The objectives of this study were to derive algorithms to predict posttraumatic stress (PTS) symptom prevalence and local distribution after an earthquake and to test whether there are algorithms that require few input data and are still reasonably predictive.

A rich database of PTS symptoms, informed after Chile’s 2010 earthquake and tsunami, was used. Several model specifications for the mean and centiles of the distribution of PTS symptoms, together with posttraumatic stress disorder (PTSD) prevalence, were estimated via linear and quantile regressions. The models varied in the set of covariates included.

Adjusted R2 for the most liberal specifications (in terms of numbers of covariates included) ranged from 0.62 to 0.74, depending on the outcome. When only including peak ground acceleration (PGA), poverty rate, and household damage in linear and quadratic form, predictive capacity was still good (adjusted R2 from 0.59 to 0.67 were obtained).

Information about local poverty, household damage, and PGA can be used as an aid to predict PTS symptom prevalence and local distribution after an earthquake. This can be of help to improve the assignment of mental health personnel to the affected localities.

DussaillantF, ApablazaM. Predicting Posttraumatic Stress Symptom Prevalence and Local Distribution after an Earthquake with Scarce Data. Prehosp Disaster Med. 2017;32(4):357–367.

Electronic waste (e-waste) is increasing worldwide and is often shipped from developed to developing countries. Many of these products contain toxic levels of metals, organics, etc. When unsafe recycling approaches or methods are used (e.g., burning wire to reclaim copper), the resulting occupational exposures can adversely affect the health of e-waste recyclers.

To identify which polybrominated and which polychlorinated dibenzo-p-dioxins/furans are higher in electronic waste recyclers when compared to non-recyclers.

This study focused on female e-waste recyclers and non-recyclers that live in rural northern Vietnam. Whole blood, urine, and serum of forty e-waste recyclers and twenty Vietnamese comparisons and were evaluated for metals, organics, and dioxin-like exposure by the Center for Disease Control. This paper will be reporting on serum organohalogens. The Vietnamese cohorts were compared to the U.S. general population, using the National Health And Nutrition Examination Survey. TEQ’s were calculated and statistical significance was determined using Wilcoxon Rank Sum Test. The IRB of the University of Texas Health Science Center Houston and the Ethics Board of the Hanoi School of Public Health oversee this study.

12378-PeCDF, 123678-HxCDD, 123678-HxCDF, and 1234678-HpCDF were significantly different between recyclers and Vietnamese comparisons. Total dioxin TEQ was higher in e-waste recyclers than comparisons. Of the polybrominated dioxins and furans, 12378-PeBDD and 2378-TeBDF were significantly different between recyclers and comparisons.

This is the only study with data on polybrominated dibenzo-p-dioxins/furans in female electronic waste recyclers from rural Northern Vietnam, and the first to describe serum levels of both polychlorinated and polybrominated dibenzo-p-dioxins/furans in Vietnamese female e-waste recyclers. Improved occupational protocols may reduce potential adverse health effects such as cancer, endocrine, reproductive, developmental, and other disorders.

In 2022, the Harvard/Beth Israel Deaconess Disaster Medicine Fellowship conducted a full-scale exercise (FSX) with the dual mission of 1) training Disaster Medicine Fellows (DMFs) in exercise design, planning, and execution, and 2) expanding local first responder experience with pediatric casualties in a mixed-method terrorist attack.

Project PUNCH (Preparedness for Uncertain and Novel Chemical Hazards) was planned in two stages. A tabletop exercise in the form of a facilitated discussion was conducted in March 2022 with stakeholders from Fire, Emergency Medical Services (EMS), and the Massachusetts HazMat Team. A FSX simulating a combined blast and chemical attack on a family gathering was held in June 2022 at Anna Maria College in Paxton, MA.

Fire, EMS, HazMat, LifeFlight, local Police, MA State Police, a local Medical Reserve Corps, and over 40 volunteer victims including 16 pediatric volunteers participated in the FSX. The FSX was a two-hour exercise with a simulated explosion and a secondary drone-deployed dummy-opioid aerosol release. This was the first FSX for the Paxton Region since the coronavirus pandemic began. Planning was conducted by the DMFs between January and June 2022 with the aid of Fellowship faculty and local stakeholders following Homeland Security Exercise and Evaluation Program guidelines. Local and Fellowship leadership with Pediatric expertise were engaged to plan pediatric specific considerations, precautions and safety measures. COVID precaution guidelines were followed. These efforts are detailed in the forthcoming field report. Educational guides for toxidromes and triage and resuscitation of pediatric victims were distributed to first responders.

The end outcome was a FSX that trained DMFs in exercise design, planning, and execution, and increased experience of local first responders with the concepts of asymmetric terrorist attacks and comfort with pediatric disaster victims. Multi-agency disaster drills remain an important training tool for preparedness and response to mass casualty events.

Disasters create major strain on energy infrastructure in affected communities. Advances in microgrid technology offer the potential to improve “off-grid” mobile disaster medical response capabilities beyond traditional diesel generation. The Carolinas Medical Center's mobile emergency medical unit (MED-1) Green Project (M1G) is a multi-phase project designed to demonstrate the benefits of integrating distributive generation (DG), high-efficiency batteries, and “smart” energy utilization in support of major out-of-hospital medical response operations.

Carolinas MED-1 is a mobile medical facility composed of a fleet of vehicles and trailers that provides comprehensive medical care capacities to support disaster response and special-event operations. The M1G project partnered with local energy companies to deploy energy analytics and an energy microgrid in support of mobile clinical operations for the 2012 Democratic National Convention (DNC) in Charlotte, North Carolina (USA). Energy use data recorded throughout the DNC were analyzed to create energy utilization models that integrate advanced battery technology, solar photovoltaic (PV), and energy conservation measures (ECM) to improve future disaster response operations.

The generators that supply power for MED-1 have a minimum loading ratio (MLR) of 30 kVA. This means that loads below 30 kW lead to diesel fuel consumption at the same rate as a 30 kW load. Data gathered from the two DNC training and support deployments showed the maximum load of MED-1 to be around 20 kW. This discrepancy in MLR versus actual load leads to significant energy waste. The lack of an energy storage system reduces generator efficiency and limits integration of alternative energy generation strategies. A storage system would also allow for alternative generation sources, such as PV, to be incorporated. Modeling with a 450 kWh battery bank and 13.5 kW PV array showed a 2-fold increase in potential deployment times using the same amount of fuel versus the current conventional system.

The M1G Project demonstrated that the incorporation of a microgrid energy management system and a modern battery system maximize the MED-1 generators’ output. Using a 450 kWh battery bank and 13.5 kW PV array, deployment operations time could be more than doubled before refueling. This marks a dramatic increase in patient care capabilities and has significant public health implications. The results highlight the value of smart-microgrid technology in developing energy independent mobile medical capabilities and expanding cost-effective, high-quality medical response.

McCahillPW , NosteEE , RossmanAJ , CallawayDW . Integration of Energy Analytics and Smart Energy Microgrid into Mobile Medicine Operations for the 2012 Democratic National Convention. Prehosp Disaster Med. 2014;29(6):1-8.

Immediately following a major public health emergency or complex humanitarian emergency such as the South East Asian Tsunami in 2004, the Haitian Earthquake in 2010 or Hurricane Katrina in 2005, there is a critical need to rapidly and as accurately as possible gather information not limited to morbidity and mortality, but necessary to assess the stability and existence of a public health or medical infrastructure, logistic supply chain, condition of food, water and shelter for victims and rescue workers, and particularly the security and stability of the region following the incident. With this information, only then can an effective humanitarian response be planned and executed that meets the actual versus perceived needs of an affected population.

Specific disaster risk assessment and medical intelligence techniques will be presented that are currently used by a variety of relief organizations. Specific topics of discussion include: Disaster epidemiology; Indicators of health in populations; Systems of surveillance; Impact of weather and climate; Displaced populations and refugee health; Tactical and combat medical intelligence; Zoonotic diseases; Agricultural trends and food security; Public health and health system infrastructure assessment; and Personal and physical security concerns.

Utilizing case reports, best-practices and lessons learned from numerous international humanitarian responses, this session will guide participants though the performance of a rapid disaster assessment and the gathering of critical medical intelligence to determine the kinds and types of resources needed in an affected area. And the process of utilizing limited information to plan humanitarian relief efforts.

Police transport (PT) of penetrating trauma patients has the potential to improve survival rates. There are no well-established guidelines for PT of penetrating trauma patients.

This study examines the association between survival rate to hospital discharge of adult penetrating trauma patients and mode of transport (PT versus ground ambulance [GA]).

A retrospective, matched cohort study was conducted using the United States (US) National Trauma Data Bank (NTDB). All adult penetrating injury patients transported by police to trauma centers were identified and matched (one-to-four) to patients transported by GA for analysis. Descriptive analysis was carried out. The patients’ demographic and clinical characteristics were tabulated and stratified by the transport mode.

Out of the 733 patients with penetrating injuries, ground Emergency Medical Services (EMS) transported 513 patients and police transported 220 patients. Most patients were 16-64 years of age with a male (95.6%) and Black/African American race (79.0%) predominance. Firearm-related injuries (68.8%) were the most common mechanism of injury with the majority of injuries involving the body extremities (62.9%). Open wounds were the most common nature of injury (75.7%). The overall survival rate to hospital discharge was similar for patients transported by GA and by police (94.5% versus 92.7%; P = .343).

In this study, patients with penetrating trauma transported by police had similar outcomes to those transported by GA. As such, PT in penetrating trauma appears to be effective. Detailed protocols should be developed to further improve resource utilization and outcomes.

Civil emergencies occurring with little warning can quickly produce mass casualties. To develop an Emergency Department’s surge capacity, medical student involvement in the disaster response has been advocated. Duke-NUS Medical School in Singapore is located in proximity to Singapore General Hospital (SGH) and represents an untapped manpower resource. With appropriate training, medical students can be leveraged upon as ready and reasonably qualified manpower.

This review provides a snapshot of the conceptualization and setting up of the Disaster Volunteer Corps (DVC) program. We discuss the overall strategy and benefits to stakeholders, emphasizing the close symbiotic relationship between academia and healthcare services.

Duke-NUS medical students will be recruited to receive training from SGH emergency physicians. The frequency of training will be four times yearly, with ad hoc participation in disaster simulation exercises. A call-tree will be employed for DVC activation. The DVC curriculum includes disaster response principles, HAZMAT, crowd control, marshaling, logistics, psychological support, and basic first aid. Teaching methods include didactic lectures, case discussions, involvement in event medical cover, and participation in disaster simulation exercises and response planning.

To date, there are 10 medical students and four emergency physician faculty volunteers involved in the program. Support is provided by adjunct instructors from nursing, nuclear medicine, social work, and security, for training in decontamination, radiological disasters, psychological first aid, and crowd control measures respectively. Assessment by faculty will be conducted to ensure the quality of training and competency of skills.

The DVC provides a unique way of teaching medical students disaster medicine principles in a hands-on experiential format, while simultaneously enhancing the operational readiness of the hospital in times of disaster. This model of close collaboration between university educational and healthcare services provides a feasible model of structured volunteerism that could be replicated in other similar settings.