This study developed a simulation program using standardized patients for the training of mental health practitioners in psychological first aid and evaluated its effect on learners’ self-efficacy and psychological first aid performance competence and knowledge. The simulation used in this program was of a fire disaster.

Thirty participants were randomly assigned to an experimental group, a comparison group, and a control group. The experimental group participated in simulation training after attending a two-hour psychological first aid lecture. The comparison group was given only the two-hour lecture and the control group was given a psychological first aid handout to study individually. The results of pre- and post-intervention questionnaires were then statistically analyzed.

The participants’ self-efficacy, performance competency, and knowledge improved in all groups, and there were some statistically significant differences between the three groups. The experimental group showed a greater improvement in self-efficacy and performance than the other groups.

The psychological first aid simulation training program was effective in improving three qualities of mental health practitioners: self-efficacy, performance competency, and knowledge. Further research is required for the development of various learning scenarios for iterative psychological first aid education.

The objective of this study is to provide road centerline data for professionals of disaster medicine areas who are often beginners in GIS use.

Newly developed vector tile format data were converted into shapefile format data, then were organized as second level medical districts to which medical professionals are accustomed.

Road centerline data in Japan is being prepared to release from Association for Promotion of Infrastructure Geospatial Information Distribution free of charge.

Professionals of disaster medicine areas increased their accessibility of GIS. Logistic planning for evacuation activities and dispatching of rescue teams were improved.

This study aims to assess the perception and attitude of emergency medical services (EMS) providers toward working during disease outbreaks, and the factors that may influence their decisions to ultimately work or not.

This is a cross-sectional study assessing the attitude of EMS providers to work during disease outbreaks. Descriptive statistics and regression analyses were performed to assess attitudes toward reporting for duty and factors that influence providers’ decisions.

Of the 500 surveys distributed, 466 (93.2%) were complete and included for analysis. The majority of participants (70.2%) are male with a mean age of 27 (SD 4.3) years. The study found that the majority (71.1%) of participants are willing to come to work during disease outbreaks. The study found 7 predictors of reporting for duty. Confidence that employer will provide adequate protective gear was the most significant predictor (odds ratio [OR], 3.95; 95% confidence interval [CI] = 2.31-5.42). Concern for family safety was the most important barrier against coming to work (OR, 0.40; 95% CI = 0.21-0.73).

Providing adequate supplies of protective gear along with knowledge and training for disease outbreak are the main factors that enhance providers to fulfill their work expectations.

Most medical emergencies requiring first-aid occur at home. Little is known about the prevalence of these medical emergencies.

The objective of this study is to describe medical emergencies occurring at people’s homes requiring first aid; characteristics, burdens and impact on functional outcome, and to address the national public knowledge and practice of first aid.

A confidential, cross-sectional survey, primarily based on the 2015 American Heart Association (AHA) and American Red Cross first aid guidelines, was conducted among adults (>18 years) from 12 educational centers, under the Ministry of Awqaf and Islamic affairs, State of Kuwait.

A total of 3000 self-administered questionnaires were distributed from September 16 2019 to November 30, 2019. The response rate was 34% (n = 1033 participants) of which 1% (n = 11) were partially answered questionnaires leaving 1022 questionnaires for valid statistical analysis. The prevalence of medical emergencies was 118.5 out of 100000 per year and the level of public knowledge was 19%. Medical emergencies were more likely to occur in Hawali province (49%, n = 149), women were more likely to encounter medical emergencies (78%, n = 238). Victims above 18 years of age were more likely to experience hypoglycemia (39%, n = 55) and children were more likely to suffer from hypoglycemia (19%, n = 22) or burns (17%, n = 20). Compliance with First aid guidelines was seen in hypoglycemia (31%, n = 44) but lacking in burn incidents (44%, n = 15). Participants called the ambulance in seizures (50%, n = 13), with 62% of medical emergencies requiring attendance at a health-care facility and 29% requiring hospital admission. Of the victims, 15% missed school or a day of work, and 25% had impaired functional outcomes.

Medical emergencies occurring at home are relatively common in Kuwait, and public training on first aid is low. Kuwait has unique medical emergencies, with hypoglycemia, seizures and burns being the most frequent emergencies that occur at home. These emergencies cause a burden on the health-care system with a quarter of them having negative impact on the victim’s functional outcome.

This study investigated how the effectiveness of household emergency plans during tornadoes was associated with family discussions, and the attributes of the plan for different age groups.

A telephone survey was conducted in 2014, one year after two 2013 Enhanced Fujita 4/5 tornadoes. The working sample included 223 respondents who reported having a household emergency plan before the tornadoes. The latent class analysis was used to identify the patterns of the plans and develop a typology based on their content. Logistic regression was used to examine predictors for plan effectiveness.

Two classes of plans were identified: quality plans that were rich in content and limited plans that had lower levels of content richness. Older adults were less likely to have quality plans and less likely to have family discussions. Quality of the plan and discussions with family members increased plan effectiveness among older adults, but not younger adults.

Better emergency planning could be more important for older than for younger adults. The findings were discussed from a gerontological perspective that focuses on older adults’ unique needs, vulnerabilities, and resilience factors.

This research was carried out to report the activity of the headquarters for disaster control at our hospital, and investigate the usefulness of obtaining information from Twitter when Typhoon Hagibis hit Izu Peninsula.

First, we recounted the activity of the headquarters for disaster control. We then collected information from Twitter from October 12-14, 2019, using the keyword Izunokuni.’ We took into consideration the contents of Twitter user posts as well as the number of reactions (‘retweets’ and ‘likes’). Twitter information was classified into photo (+) and (-) groups, depending on whether or not the post had a photo or video included. The number of reactions between the two groups was then analyzed.

We counted 122 Twitter posts containing Hagibis-related information for Izunokuni City. The average number of both ‘retweets’ and ‘likes’ in the photo (+) group were significantly greater than those in the photo (-) group. All photos and videos depicted specific places in Izunokuni City and included actual footage of disaster scenes or local warning signs.

Based on our experience at the headquarters for disaster control during Typhoon Hagibis, Twitter was considered to be a useful tool for obtaining local disaster information based on its timeliness, reality and specificity.

To access the trends and focuses of publications on public health emergency preparedness in the timeframe 1997-2019.

Publications related to public health emergency preparedness (PHEP) were retrieved from the Web of Science Core Collection database. Bibliometric analyses including output statistics, co-authorship analysis, citation analysis, co-citation analysis, and co-occurrence analysis were performed and mapped using VOSviewer.

A total of 1058 publications on PHEP were included in this study. There was an increasing trend of publication output and citations since 2002. A total of 4605 authors from 1587 institutes and 92 countries contributed to the publications, and the United States lead the field. Disaster Medicine and Public Health Preparedness was the most active and co-cited journal among 243 journals. The knowledge foundation mainly focused on the professionals’ capacity, education, and conceptions of PHEP. Epidemics, natural disasters, terrorism, education, and communication were the principle topics; while “vulnerable populations,” “disaster medicine,” and “hurricane” were the recent hotspots in this field.

Significant progresses had been achieved worldwide in the past 2 decades, however, improvement of research activity and international collaboration is still a need for most countries.

The objective of this study was to examine associations between media contact and posttraumatic stress in a sample with a large number of individuals who were directly exposed to the September 11, 2001 (9/11) attacks and to compare outcomes in exposed and unexposed participants.

Structured interviews and questionnaires were administered to a volunteer sample of 254 employees of New York City businesses 35 months after the attacks to document disaster trauma exposures, posttraumatic stress outcomes, and media contact and reactions.

Media variables were not associated with psychopathological outcomes in exposed participants, but media contact in the first week after the attacks and feeling moderately/extremely bothered by graphic 9/11 media images were associated with re-experiencing symptoms in both the exposed and unexposed participants. Feeling moderately/extremely bothered by graphic media images was associated with hyperarousal symptoms in exposed participants.

The findings suggest that media contact did not lead to psychopathology in exposed individuals, although it was associated with normative distress in both exposure groups. Because of the potential for adverse effects associated with media contact, clinicians and public health professionals are encouraged to discuss concerns about mass trauma media contact with their patients and the public at large.

The Radiation Injury Treatment Network (RITN) is prepared to respond to a national disaster resulting in mass casualties with marrow toxic injuries. How effective existing RITN workforce education and training is, or whether health-care providers (HCPs) at these centers possess the knowledge and skills to care for patients following a radiation emergency is unclear. HCP knowledge regarding the medical effects and medical management of radiation-exposed patients, along with clinical competence and willingness to care for patients following a radiation emergency was assessed.

An online survey was conducted to assess level of knowledge regarding the medical effects of radiation, medical/nursing management of patients, self-perception of clinical competence, and willingness to respond to radiation emergencies and nuclear events.

Attendance at previous radiation emergency management courses and overall knowledge scores were low for all respondents. The majority indicated they were willing to respond to a radiation event, but few believed they were clinically competent to do so.

Despite willingness to respond, HCPs at RITN centers may not possess adequate knowledge of medical management of radiation patients, and appropriate response actions during a radiation emergency. RITN should increase the awareness of the importance of radiation education and training.

This study aims to clarify the association between prosperity and the coronavirus disease (COVID-19) outcomes and its impact on the future management of pandemics.

This is an observational study using information from 2 online registries. The numbers of infected individuals and deaths and the prosperity rank of each country were obtained from worldometer.info and the Legatum Institute’s Prosperity Index, respectively.

There is a combination of countries with high and low prosperity on the list of COVID-19-infected countries. The risk of the virus pandemic seems to be more extensive in countries with high prosperity. A Spearman’s rho test confirmed a significant correlation between prosperity, the number of COVID-19 cases, and the number of deaths at the 99% level.

New emerging pandemics affect all nations. In order to increase the likelihood of successfully managing future events, it is important to consider preexisting health security, valid population-based management approaches, medical decision-making, communication, continuous assessment, triage, treatment, early and complete physical distancing strategies, and logistics. These elements cannot be taught on-site and on occasion. There is a need for innovative and regular educational activities for all stakeholders committed to safeguarding our future defense systems concerning diagnostic, protection, treatment, and rehabilitation in pandemics, as well as other emergencies.

The UK is one of the epicenters of coronavirus disease (COVID-19) in the world. As of April 14, there have been 93 873 confirmed patients of COVID-19 in the UK and 12 107 deaths with confirmed infection. On April 14, it was reported that COVID-19 was the cause of more than half of the deaths in London.

The present paper addresses the modeling and forecasting of the outbreak of COVID-19 in the UK. This modeling must be accomplished through a 2-part time series model to study the number of confirmed cases and deaths. The period we aimed at a forecast was 46 days from April 15 to May 30, 2020. All the computations and simulations were conducted on Matlab R2015b, and the average curves and confidence intervals were calculated based on 100 simulations of the fitted models.

According to the obtained model, we expect that the cumulative number of confirmed cases will reach 282 000 with an 80% confidence interval (242 000 to 316 500) on May 30, from 93 873 on April 14. In addition, it is expected that, over this period, the number of daily new confirmed cases will fall to the interval 1330 to 6450 with the probability of 0.80 by the point estimation around 3100. Regarding death, our model establishes that the real case fatality rate of the pandemic in the UK approaches 11% (80% confidence interval: 8%–15%). Accordingly, we forecast that the total death in the UK will rise to 35 000 (28 000–50 000 with the probability of 80%).

The drawback of this study is the shortage of observations. Also, to conduct a more exact study, it is possible to take the number of the tests into account as an explanatory variable besides time.

The authors aim to demonstrate that the current drive-through testing model at a health district was improved in certain parameters compared with a previous testing protocol, and to provide the methodology of the current model for other coronavirus disease (COVID-19) testing sites to potentially emulate.

Initially, a small drive-through site was constructed at a converted tuberculosis clinic, but due to an increase in testing needs, an expanded point of screening and testing (POST) system was developed in an event center parking lot to administer tests to a higher volume of patients.

An average of 51.1 patients was tested each day (2.0 tests per personnel in personal protective equipment [PPE] per hour) at the initial tuberculosis clinic drive-through site, which increased to 217.8 patients tested each day (5.9 tests per personnel in PPE per hour) with the new drive-through POST system (P < 0.001). Mean testing time was 3.4 minutes and the total time on-site averaged 14.4 minutes.

This POST drive-through system serves as an efficient, safe, and adaptable model for high volume COVID-19 nasopharyngeal swabbing that the authors recommend other COVID-19 testing sites nationwide consider adopting for their own use.

Since the first case of severe acute respiratory syndrome coronavirus-2, identified in December 2019, in Wuhan in China, the number of cases rapidly increased into a pandemic. Governments worldwide have adopted different strategies and measures to interrupt the transmission of coronavirus disease 2019 (COVID-19). The main objective was to report and evaluate the effectiveness of the adopted measures in North Africa countries.

In these countries, the effective reproductive number R(t), the naïve case fatality rate, and the adjusted case fatality rate were estimated and compared on different dates.

The obtained results show that the early strict application of containment measures and confinement could help contain the spread of the epidemic and maintain the number of deaths low.

These measures might be useful for other countries that are experiencing the start of local COVID-19 outbreaks. They could also serve to halt the spread of new epidemics or pandemics.

The aim of this study was to clarify residents’ intentions to return (ITR) to Tomioka town, Fukushima Prefecture; and their risk perception of the health effects of radiation exposure as stratified by gender and generation.

Of almost 8000 residents who were 20 years of age or older and who had lived, prior to the accident, in the zones of Tomioka town where residents were permitted to return, 1860 were included in the analysis. For the analysis, the residents were divided into 4 groups which were stratified by gender and age: older males (over 50 years), young males (20−49 years), older females (over 50 years), and young females (20−49 years).

ITR was found to be significantly lower in young males, young females, and older females than in older males. Conversely, young and older females had significantly higher levels of anxiety about drinking tap water and consuming food collected in Tomioka town. Young and older females also had greater concerns about adverse health effects on themselves and their offspring due to living in Tomioka town.

Our results showed that special attention should be paid to younger residents, particularly to young females, with regard to recovery from a nuclear disaster.

The ongoing coronavirus disease 2019 (COVID-19) pandemic, which was initially identified in December 2019 in the city of Wuhan in China, poses a major threat to worldwide health care. By August 04, 2020, there were globally 695,848 deaths (Johns Hopkins University, https://coronavirus.jhu.edu/map.html). A total of 5765 of them come from Turkey (Johns Hopkins University, https://coronavirus.jhu.edu/map.html). As a result, various governments and their respective populations have taken strong measures to control the spread of the pandemic. In this study, a model that is by construction able to describe both government actions and individual reactions in addition to the well-known exponential spread is presented. Moreover, the influence of the weather is included. This approach demonstrates a quantitative method to track these dynamic influences. This makes it possible to numerically estimate the influence that various private or state measures that were put into effect to contain the pandemic had at time t. This might serve governments across the world by allowing them to plan their actions based on quantitative data to minimize the social and economic consequences of their containment strategies.

A compartmental model based on SEIR that includes the risk perception of the population by an additional differential equation and uses an implicit time-dependent transmission rate is constructed. Within this model, the transmission rate depends on temperature, population, and government actions, which in turn depend on time. The model was tested using different scenarios, with the different dynamic influences being mathematically switched on and off. In addition, the real data of infected coronavirus cases in Turkey were compared with the results of the model.

The mathematical study of the influence of the different parameters is presented through different scenarios. Remarkably, the last scenario is also an example of a theoretical mitigation strategy that shows its maximum in August 2020. In addition, the results of the model are compared with the real data from Turkey using conventional fitting that shows good agreement.

Although most countries activated their pandemic plans, significant disruptions in health-care systems occurred. The framework of this model seems to be valid for a numerical analysis of dynamic processes that occur during the COVID-19 outbreak due to weather and human reactions. As a result, the effects of the measures introduced could be better planned in advance by use of this model.

The objective of this study is to compare the various nonlinear and time series models in describing the course of the coronavirus disease 2019 (COVID-19) outbreak in China. To this aim, we focus on 2 indicators: the number of total cases diagnosed with the disease, and the death toll.

The data used for this study are based on the reports of China between January 22 and June 18, 2020. We used nonlinear growth curves and some time series models for prediction of the number of total cases and total deaths. The determination coefficient (R2), mean square error (MSE), and Bayesian Information Criterion (BIC) were used to select the best model.

Our results show that while the Sloboda and ARIMA (0,2,1) models are the most convenient models that elucidate the cumulative number of cases; the Lundqvist-Korf model and Holt linear trend exponential smoothing model are the most suitable models for analyzing the cumulative number of deaths. Our time series models forecast that on 19 July, the number of total cases and total deaths will be 85,589 and 4639, respectively.

The results of this study will be of great importance when it comes to modeling outbreak indicators for other countries. This information will enable governments to implement suitable measures for subsequent similar situations.

A simple evaluation tool for patients with novel coronavirus disease 2019 (COVID-19) could assist the physicians to triage COVID-19 patients effectively and rapidly. This study aimed to evaluate the predictive value of 5 early warning scores based on the admission data of critical COVID-19 patients.

Overall, medical records of 319 COVID-19 patients were included in the study. Demographic and clinical characteristics on admission were used for calculating the Standardized Early Warning Score (SEWS), National Early Warning Score (NEWS), National Early Warning Score2 (NEWS2), Hamilton Early Warning Score (HEWS), and Modified Early Warning Score (MEWS). Data on the outcomes (survival or death) were collected for each case and extracted for overall and subgroup analysis. Receiver operating characteristic curve analyses were performed.

The area under the receiver operating characteristic curve for the SEWS, NEWS, NEWS2, HEWS, and MEWS in predicting mortality were 0.841 (95% CI: 0.765-0.916), 0.809 (95% CI: 0.727-0.891), 0.809 (95% CI: 0.727-0.891), 0.821 (95% CI: 0.748-0.895), and 0.670 (95% CI: 0.573-0.767), respectively.

SEWS, NEWS, NEWS2, and HEWS demonstrated moderate discriminatory power and, therefore, offer potential utility as prognostic tools for screening severely ill COVID-19 patients. However, MEWS is not a good prognostic predictor for COVID-19.

Outbreaks and containment measures implemented to control them can increase stress in affected populations. The impact of the coronavirus disease 2019 (COVID-19) outbreak on perceived stress levels in the Jordanian population is unknown. The aim of the study was to determine the perceived stress level and factors associated with it in the Jordanian population during the COVID-19 outbreak.

Required data, such as those from the Perceived Stress Scale (PSS-10) and possible predictors of perceived stress, were collected through a Web-based survey. Statistical analysis was conducted through SPSS.

The mean (SD) of perceived stress score was 19.8 (6.7). Regression analysis revealed that stress was increased in females, young adults, usually being stressed more than others by a health problem, increased perceived severity of the disease, increased overall worry score, and student’s worry regarding their studies/graduation. Perceived stress was decreased if participants’ self-rated health status score increased.

In the context of increasing public health preparedness, the results of this study can be used in designing interventions to alleviate stress in susceptible segments of the Jordanian community.

The aim of this study was to evaluate hospital and emergency department (ED) preparedness in France facing the coronavirus disease 2019 (COVID-19) rapid growth epidemic-phase, and to determine the link between preparedness and responsiveness.

In this cross-sectional study, from March 7 to March 11, 2020, all heads of ED departments in France were contacted to answer an electronic survey, including 23 questions. Quality, Organization, Training, Resources, Management, Interoperability, and Responsiveness were evaluated by calculating scores (10 points). Multivariate analysis of variance was used to compare scores. Spearman’s correlation coefficient and multifaceted regression analysis were performed between Responsiveness and dimensions scores.

A total of 287 of 636 French EDs were included (45.1%). Calculated scores showed (median): Quality 5.38; Organization 6.4; Training 4.6; Resources 4.13; Management 2.38; Interoperability 4.0; Responsiveness 6.25; seasonal influenza score was 5. Significant differences between scores as a function of hospital and ED main characteristics were found. Furthermore, we found significant correlations (P < 0.01) between Responsiveness and all preparedness dimensions. Organization (adjusted-R2 0.2897), Management (aR2 0.321), and Interoperability (aR2 0.422) were significantly associated with Responsiveness.

Preparedness in all its dimensions is low, indicating vulnerability. Preparedness and responsiveness face a certain and ongoing risk are close linked, and that Organizational, Management, and Interoperability dimensions are main determinants.