In 2010, South Africa (SA) hosted the Fédération Internationale de Football Association (FIFA) World Cup (soccer). Emergency Medical Services (EMS) used the SA mass gathering medicine (MGM) resource model to predict resource allocation. This study analyzed data from the World Cup and compared them with the resource allocation predicted by the SA mass gathering model.

Prospectively, data were collected from patient contacts at 9 venues across the Western Cape province of South Africa. Required resources were based on the number of patients seeking basic life support (BLS), intermediate life support (ILS), and advanced life support (ALS). Overall patient presentation rates (PPRs) and transport to hospital rates (TTHRs) were also calculated.

BLS services were required for 78.4% (n = 1279) of patients and were consistently overestimated using the SA mass gathering model. ILS services were required for 14.0% (n = 228), and ALS services were required for 3.1% (n = 51) of patients. Both ILS and ALS services, and TTHR were underestimated at smaller venues.

The MGM predictive model overestimated BLS requirements and inconsistently predicted ILS and ALS requirements. MGM resource models, which are heavily based on predicted attendance levels, have inherent limitations, which may be improved by using research-based outcomes.

There are 341 000 patients in the United States who are dependent on routine dialysis for survival. Recent large-scale disasters have emphasized the importance of disaster preparedness, including supporting dialysis units, for people with chronic disease. Contingency plans for staffing are important for providing continuity of care for a technically challenging procedure such as dialysis. PReparing Emergency Personnel in Dialysis (PREP-D) is a just-in-time training program designed to train individuals having minimum familiarity with the basic steps of dialysis to support routine dialysis staff during a disaster.

A 5-module educational program was developed through a collaborative, multidisciplinary effort. A pilot study testing the program was performed using 20 nontechnician dialysis facility employees and 20 clinical-year medical students as subjects.

When comparing pretest and posttest scores, the entire study population showed a mean improvement of 28.9%, with dialysis facility employees and medical students showing improvements of 21.8% and 36.4%, respectively (P < .05 for all comparisons).

PREP-D participants were able to demonstrate improved tests scores when taught in a just-in-time training format. The knowledge gained by using the PREP-D program during a staffing shortage may allow for continuity of care for critical services such as dialysis during a disaster. (Disaster Med Public Health Preparedness. 2013;7:272-277).

To assess individual variation in anxiety, stress disorder, depression, insomnia, burnout, and resilience in health care workers (HCWs), 12 and 18 months after the beginning of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic.

Prospective longitudinal study.

A total of 207 HCWs (74% female, 46% physicians, 44% nurses) answered; 50% scored over the cut-off for anxiety (GAD-7), 66% for PCL-C, 41% for depression (PHQ-9), 25% for ISI, and 15% started sleep inducers; 52% showed emotional exhaustion (EE), 68% detachment (DE), 39% professional efficacy (EF) at MBI; 27% completed the follow-up questionnaire 6 months later, showing a significant reduction in nearly all scores (GAD-7 median 11[5-15] vs 7[4-12] (P < 0.001); PCL-C 43[30-58] vs 37[24-50] (P < 0.05); PHQ-9 10[4-16] vs 6[3-12] (P < 0.001); ISI 10[4-15] vs 7[5-12](NS); MBI EE 25[16-35] vs 23 [15-31] (NS), DE 13[8-17] vs 12[8-17], EF 29[25-34] vs 30[25-34]. Living in a flat (OR 2.27 [1.10-4.81], high-intensity-of-care working (2.83 [1.15-7.16] increased risk of anxiety (GAD-7); age between 31-40 y (OR 2.8 [1.11-7.68], being a nurse (OR 3.56 [1.59-8.36] and high-intensity-of-care working (OR 8.43 [2.92-26.8] increased risk of pathological stress (PCL-C).

Nearly half of HCWs showed psychological distress, especially nurses, women, and the youngest. A mandatory job change, increasing intensity of care, working in a COVID-19 department, and being infected were negative factors; having a partner and living in a detached house were protective. Six months later, all the psychological domains showed individual improvement.

This study aims to identify error-prone operational steps and key sites of self-contamination during donning and doffing of personal protective equipment (PPE).

A total of 56 health care workers, including 37 nurses and 19 physicians, were recruited to don and doff the PPE recommended by the Chinese Center for Disease Control and Prevention. Operational errors and sites of self-contamination were recorded using UV-fluorescent labeling and video surveillance.

Three main errors during donning were identified: choosing a loose-fitting coverall that was difficult to handle; ignoring to inspect the seal of N95 respirator or gloves; and forgetting to pull up the zipper completely. Four main errors during doffing were identified: removing the N95 respirator in a wrong way; touching the scrubs with contaminated hands and elbows; touching contaminated external surfaces of the goggles; and performing insufficient hand hygiene. Key sites that were easily contaminated during the doffing of PPE included left hand and wrist, left lower leg, chest, and left abdomen.

Identifying the steps prone to errors and key sites of self-contamination in the process of PPE donning and doffing can facilitate the training of PPE use and provide detailed evidence for optimizing standardized protocols to reduce contamination.

Examinations of the demands on public health workers after disaster exposure have been limited. Workers provide emergency care while simultaneously risking injury, damage to personal property, and threats to their own and their family's safety. We examined the disaster management experiences of 4323 Florida Department of Health workers 9 months after their response to 4 hurricanes and 1 tropical storm during a 7-week period in August and September of 2004.

Participants completed a self-report questionnaire focused on work performance, mental and physical health, daily functioning, sleep disturbance, physiological arousal, and injury and work demand at the time of the hurricanes, and answered open-ended questions that described their experiences in more detail.

A qualitative analysis conducted from the write-in data yielded 4 domains: (1) work/life balance; (2) training for disaster response role; (3) workplace support; and (4) recovery.

Study findings highlighted a number of concerns that are important to public health workers who provide emergency care after a disaster and, in particular, multiple disasters such as during the 2004 hurricane season. The findings also yielded important recommendations for emergency public health preparedness. (Disaster Med Public Health Preparedness. 2013;0:1–7)

One method of monitoring public preparedness is through measuring public interest in preventive measures. The objective of this study was to analyze public interest in the coronavirus disease 2019 (COVID-19) preventive measures and to identify variables associated with timely stay-at-home (SAH) orders issued by governors.

State-level search volume was collected from Google Trends. Average preventive measure interest was calculated for the query terms “hand sanitizer,” “hand washing,” “social distancing,” and “COVID testing.” We then calculated the delay in statewide SAH orders from March 1, 2020, to the date of issuance and by-state presidential voting percentage. Bivariate correlations were computed to assess the relationship between interest in preventive measures and SAH order delay.

The correlation between average preventive measure interest and length of time before the SAH order was placed was −0.47. Average preventive measure interest was also inversely related to voting for a Republican presidential nominee in the 2016 election (R = −0.75), the latter of which was positively associated with longer delays in SAH orders (R = 0.48).

States with greater public interest in COVID-19 preventive measures were inversely related to governor issuance of timely SAH orders. Increasing public interest in preventive measures may slow the spread of the virus that causes COVID-19, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), by improving preparedness.

The aim of this study was to evaluate the readiness of a tertiary medical cityʼs response to a disaster by assessing the hospital resources and knowledge, attitudes, practices, and familiarity of health care providers toward disaster and emergency preparedness.

All KFMC (King Fahad Medical City) staff with > 1 year of clinical experience were eligible to participate in a cross-sectional study. Participants responded to the Emergency Preparedness Information Questionnaire (EPIQ), knowledge and practice questionnaires, and a disaster planning attitude checklist. Data about resources were collected using the hospital disaster preparedness self-assessment tool.

The overall mean knowledge score for disaster and emergency preparedness was 4.4 ± 1.1, and the mean overall familiarity score was 3.43 ± 0.97. Most participants knew that disaster drills (90.2%) and training (74.6%) are ongoing. Sixty-six (21.0%) agreed that KFMC is unlikely to experience a disaster. The highest and lowest EPIQ familiarity scores were for decontamination (83.0%) and accessing critical resources and reporting (64.3%), respectively. Most participants (99.4%) have access to work computers; however, only 53.0% used the Internet to access information on bioterrorism and/or emergency preparedness. The hospital is ready to respond in case of a disaster according to the used tool.

The participants’ levels of knowledge, practices, and overall familiarity toward emergency and disaster preparedness were satisfactory; however, participant attitudes and familiarity with where and how to access critical resources in the event of an emergency or disaster situations require reinforcement.

The purpose of this study was to investigate potential association between psychopathology and subjective evaluation of the experience of debriefing in disaster-exposed rescue and recovery workers.

Structured diagnostic interviews for DSM-III-R psychiatric disorders were conducted with 166 firefighters who served as rescue and recovery workers for the 1995 Oklahoma City bombing, who categorized their satisfaction with the debriefing on 4 levels. “Very dissatisfied” responses were examined for their association with post-traumatic stress disorder (PTSD) and with PTSD symptom groups.

Being “very dissatisfied” with the debriefing was significantly associated with the DSM-III-R avoidance and numbing group and with PTSD.

These findings suggest that debriefing may be an unsatisfactory intervention for people with prominent avoidance and numbing symptoms, such as those with PTSD. These individuals might be better served by referral directly to psychiatric treatment (Disaster Med Public Health Preparedness. 2018;12:718-722).

Crisis communication is seen as an integrated and essential part of disaster management measures. After Typhoon Haiyan (Yolanda) in the Philippines 2013, radio was used to broadcast information to the affected community. The aim of this study was to describe how disaster radio was used to communicate vital messages and health-related information to the public in one affected region after Typhoon Haiyan.

Mixed-methods analysis using qualitative content analysis and descriptive statistics was used to analyze 2587 logged radio log files.

Radio was used to give general information and to demonstrate the capability of officials to manage the situation, to encourage, to promote recovery and foster a sense of hope, and to give practical advice and encourage self-activity. The content and focus of the messages changed over time. Encouraging messages were the most frequently broadcast messages. Health-related messages were a minor part of all information broadcast and gaps in the broadcast over time were found.

Disaster radio can serve as a transmitter of vital messages including health-related information and psychological support in disaster areas. The present study indicated the potential for increased use. The perception, impact, and use of disaster radio need to be further evaluated. (Disaster Med Public Health Preparedness. 2016;10:591–597)

Modern digital strategies, including Internet of Things, machine learning, and mobile applications, have revolutionized situational awareness during disaster management. Despite their importance, no review of digital strategies to support emergency food security efforts has been conducted. This scoping review fills that gap.

Keywords were defined within the concepts of food assistance, digital technology, and disasters. After the database searches, PRISMA guidelines were followed to perform a partnered, 2-round scoping literature review.

The search identified 3201 articles, and 26 articles met criteria and were included in the analysis. The data types used to describe the tools were text/opinion (42.3%), qualitative (23.1%), system architecture (19.2%), quantitative and qualitative (11.5 %), and quantitative (3.8%). The tools’ main functions were Resource Allocation (41.7%), Data Collection and Management (33%), Interagency Communications (15.4 %), Beneficiary Communications (11.5%), and Fundraising (7.7%). The platforms used to achieve these goals were Mobile Application (36%), Internet of Things (20%), Website (20%), and Mobile Survey (8%); 92% covered the disaster response phase.

Digital tools for planning, situational awareness, client choice, and recovery are needed to support emergency food assistance, but there is a lack of these tools and research on their effectiveness across all disaster phases.

Emergency medical (EM) response systems require extensive coordination, particularly during mass casualty incidents (MCIs). The recognition of preparedness gaps and contextual priorities to MCI response capacity in low- and middle-income countries (LMICs) can be better understood through the components of EM reponse systems. This study aims to delineate essential components and provide a framework for effective emergency medical response to MCIs.

A scoping review was conducted using 4 databases. Title and abstract screening was followed by full-text review. Thematic analysis was conducted to identify themes pertaining to the essential components and integration of EM response systems.

Of 20,456 screened citations, 181 articles were included in the analysis. Seven major and 40 sub-themes emerged from the content analysis as the essential components and supportive elements of MCI medical response. The essential components of MCI response were integrated into a framework demonstrating interrelated connections between essential and supportive elements.

Definitions of essential components of EM response to MCIs vary considerably. Most literature pertaining to MCI response originates from high income countries with far fewer reports from LMICs. Integration of essential components is needed in different geopolitical and economic contexts to ensure an effective MCI emergency medical response.