This study is aimed at investigating the relationships between religious practice, religious coping strategies, and mental health among Chinese Christians in the context of the COVID-19 outbreak.

A total of 915 participants from several cities in China completed online questionnaires, including sociodemographic data, mental disorder history, and years as a Christian, as well as frequency of weekly religious practice, Religious Coping Scale, the Patient Health Questionnaire-9 (PHQ-9), and the Generalized Anxiety Disorder scale (GAD-7).

The result of multivariate analysis indicated that during the COVID-19 pandemic, among Chinese Christians without a history of mental disorder, negative religious coping were associated with depression, and anxiety symptoms. Among Chinese Christians with a history of mental disorders, comorbidity with 1 mental disorder, comorbidity with 2 or more mental disorders, negative religious coping, and positive religious coping were associated with depression symptoms. Comorbidity with 2 or more mental disorders, negative religious coping, and positive religious coping were associated with anxiety symptoms.

Christians with a previous history of mental illness are more likely to experience anxiety during the epidemic. In the future, mental health services during disasters may put more attention on certain religious groups and provide more spiritual care to maintain their well-being accordingly.

The study aimed to examine the experience of disaster healthcare workers with simulation training using the Psychological First Aid (PFA) mobile app.

This study was designed using qualitative research methodology with focus group interviews. The participants were 19 disaster healthcare workers from community mental health service centers who attended disaster simulation training in flood, fire, or leakage of hazardous chemicals. Before the simulation, participants were provided the PFA mobile app and allowed to practice the PFA techniques to apply them during the simulation. Data were collected through focus group interviews and qualitatively analyzed using the content analysis method.

The findings were divided into 6 categories: experience in realistic disaster situations, satisfaction with education methods using a mobile app, effectiveness of the PFA app in disaster relief, confidence in disaster relief by integrating experience and knowledge of the PFA app, self-reflection as a disaster healthcare worker, and identifying limitations and making developmental suggestions.

Based on the participants’ developmental proposals in this study, the disaster simulation training, incorporating improvements in the disaster simulation training and the PFA app features, will serve as a new framework for disaster support education and systematic mental health services to survivors by disaster healthcare workers.

The COVID-19 caused a world pandemic, posing a huge threat to global health. Widespread vaccination is the most effective way to control the pandemic. Vaccination with the third dose of the COVID-19 vaccine is currently underway. We aimed to determine the attitude of adolescents toward the third dose of COVID-19 vaccine.

A structured questionnaire was administered between 16 August and 28 October 2021 among adolescents aged 12–17 years in three provinces of eastern region of China based on convenience sampling. The questionnaire was specifically developed to assess the adolescents’ attitude toward and willingness to accept a third dose of the COVID-19 vaccine.

In total, 94.3% (1742/1847) of the adolescents intended to accept the third dose of the COVID-19 vaccine. Age between 15–17 years, no worry about vaccine safety, confidence for vaccine effectiveness, and supporting opinion from parents were independently associated with acceptance of the third dose (p < 0.05).

It is necessary for governments and school administrators to raise adolescents’ and parents’ awareness of the benefits and safety of the third dose of vaccination, which should be effective to increase the vaccination coverage among adolescents.

The study aimed at investigating the social, demographic, and economic factors affecting Covid-19 vaccine decisions before the vaccination started in Turkey. The study also aimed to understand the attitudes towards Covid-19 vaccines.

The study was conducted by exploiting the data of 693 individuals living in Turkey. The data was collected via a virtually applied questionnaire according to snowball sampling in late 2020 when the vaccination program had not started in Turkey yet. Multinomial logistic regression design was used to identify the factors affecting Covid-19 vaccine decisions.

It was observed that Covid-19 vaccine acceptance was notably low before the vaccination started in Turkey. Further, almost 50% of the participants were indecisive about getting vaccinated. It was identified that age, gender, educational status, and residential status, as well as occupational status, the number of dependents, smoking, and the vaccination of governmental authorities, have associations with Covid-19 vaccination decisions.

Covid-19 vaccine acceptance is generally low, although it is relatively high among vulnerable groups (i.e., the elderly and smokers), and among those who are unable to isolate themselves. In addition, the vaccination of governmental authorities is remarkably effective on Covid-19 vaccine acceptance in Turkey.

This study aims to assess the contents of COVID-19 vaccine related videos available on iQiYi, which is a popular video website in mainland China.

The phrases “新型冠状病毒疫苗”(COVID-19 vaccine) and “新冠疫苗”(the abbreviation of “新型冠状病毒疫苗” according to Chinese habits), were searched separately on iQiYi on July 1, 2021. The 200 most popular videos of each search were screened. Video content and characteristics were identified, extracted and independently rated against Global Quality Scale (GQS), Health on the Net Foundation Code of Conduct (HONCode) and DISCERN principle by the 2 authors.

A total of 90 videos, with a total of 1165596 views, 14498 likes, and 1450 forwards as well as 95 comments at the time of data collection were included in the study. The channels, sources, topics, and formats of the videos were diversified. The majority of videos received high scores on GQS and all the videos partly adhere to HONCode and DISCERN principle.

Overall quality of information on iQiYi regarding COVID-19 vaccines remains good. However, existing evaluation tools cannot reflect the complexity of video websites. New and more effective tools or standards should be developed to help people understand the modern landscape of health communication better.

Residents who lived near the Fukushima Power Plant accident were forced to change their lifestyle after the 2011 accident. This study aimed to elucidate the association of resident lifestyle and psychological factors with onset of hepatobiliary enzyme abnormalities (HEA) after the accident.

This longitudinal study included 15705 residents who underwent a comprehensive health check, as well as a mental health and lifestyle survey between June 2011 and March 2012. Follow-up surveys were conducted between June, 2012 and March 2018. Risk factors for new HEA onset were evaluated using the Cox proportional hazards model, moreover, population attributable risks for new HEA onset were calculated.

HEA developed in 29.7% of subjects. In addition to metabolic factors such as overweight, hyperglycemia, and hyperlipidemia; there were differences in alcohol intake, evacuation, unemployment, educational background, and psychological distress between subjects with and without HEA onset. After we adjusted for potential confounding factors, an association of being overweight, hypertension, and dyslipidemia, as well as alcohol consumption, evacuation, and psychological distress with increased risk of HEA onset was realized. Among these identified risk factors, evacuation accounted for the greatest share.

Metabolic characteristics and disaster-related lifestyle aspects, including mental status, were risk factors for HAE onset after the Fukushima Power Plant accident.

One of the most important measures following disasters is setting up a communicable disease surveillance system (CDSS). This study aimed to develop indicators to assess the performance of CDSSs in disasters.

In this 3-phase study, firstly a qualitative study was conducted through in-depth, semistructured interviews with experts on health in disasters and emergencies, health services managers, and communicable diseases center specialists. The interviews were analyzed, and CDSS performance assessment (PA) indicators were extracted. The appropriateness of these indicators was examined through a questionnaire administered to experts and heads of communicable diseases departments of medical sciences universities. Finally, the designed indicators were weighted using the analytic hierarchy process approach and Expert Choice software.

In this study, 51 indicators were designed, of which 10 were related to the input (19.61%), 17 to the process (33.33%), 13 to the product (25.49%), and 11 to the outcome (21.57%). In weighting, the maximum score was that of input (49.1), and the scores of the process, product, and outcome were 31.4, 12.7, and 6.8, respectively.

Through 3 different phases, PA indicators for 4 phases of a chain of results were developed. The authors believe that these PA indicators can assess the system’s performance and its achievements in response to disasters. (Disaster Med Public Health Preparedness. 2019;13:158–164)

We analyzed characteristics of tornado-related injuries and medical impact on a county-level hospital in China in June 23, 2016. The objective of this study was to describe and analyze local government rescue responses following the tornado.

County hospital medical records of 288 tornado-related injury patients were collected. Descriptive analyses to study injury characteristics and associated risk factors were performed.

Of the studied population, 84% of the wounded were older than 45 years. Only 30 (10.4%) people were sent to the hospital for treatment within 3 hours following the disaster. Heavy objects or collapsing houses accounted for 191 (66.3%) of the documented injuries. The proportion of people with resulting brain injuries was 46.2% of the entire injured population, and the incidence of lower extremity injuries was 27.8%. A total of 89.6% of the wounded had skin and soft tissue injuries. Multiple injuries were found in 129 (44.8%) people and 156 had a single injury (54.2%), and 3 cases with acute stress disorder were admitted to the hospital.

Preparation plans, including tornado warnings, prevention, and rescue, are a basic requirement for the mitigation of tornado-related injuries. Protection awareness of tornado disasters is also critical to ensure injury prevention.

The COVID-19 pandemic negatively impacted healthcare worker well-being, leading to increased burnout and decreased workplace engagement. To combat expected stressors from the pandemic, our mid-sized academic health center implemented numerous institutional support, such as town halls, and virtual support groups. This study aimed to evaluate faculty utilization of institutional support, its association with perceived organizational support, received organizational support, and burnout.

A retrospective, cross-sectional survey was distributed to 630 faculty employed at our institution in September 2020, assessing participant demographics, institutional support utilized, perceived organizational support, and burnout, through a combination of self-report measures and qualitative responses.

A total of 79 (12.5%) faculty provided complete responses and were included in the analysis. Qualitative analysis identified 4 primary themes: (1) flexibility and adjusted expectations, (2) direct communication, (3) sense of community, and (4) no support felt, with additional subthemes within each larger theme. Increased utilization of institutional support was associated with decreased odds of experiencing burnout.

Flexibility, communication, and sense of community emerged as important strategies for maintaining faculty well-being and engagement during the early stages of the COVID-19 pandemic. This study suggests that utilization of workplace support is protective against burnout. Perceived support was not beneficial.

The outbreak of coronavirus disease 2019 (COVID-19) has exerted unprecedented pressure on healthcare systems throughout the world. This study was designed to develop a national health emergency management program based on risk assessment for COVID-19.

Mixed-methods research was used. Based on recommendations of the national epidemiology committee, 2 risk scenarios were used as basic scenarios for risk assessment. Two rounds of Focus Group Discussions (FGDs) were conducted between January and May 2020 with 30 representatives of the health system. The data were collected, analyzed, and integrated by the research team.

In the risk matrix, “contamination of environment and individuals” and “burnout of medical staff” occupied the red zone (intolerable risk). “Defects in screening and admissions,” “process disruption in medical care and rehabilitation,” “increased mental disorders,” “social dissatisfaction,” “the decline in healthcare services,” and “loss of medical staff” were identified as the orange zone (significant risk) of the matrix.

The avoidance of environmental and individual contamination and healthcare worker burnout are the priorities in Iran. Attention to intersectoral cooperation, the involvement of non-governmental organizations and private center capacities, integration of information health systems, and developing evidence-based protocols are other measures that can improve the health system’s capacity in the response COVID-19.

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.

Restrictions to minimize social contact was necessary to prevent the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus but may have impacted individuals’ mental well-being. Emotional responses are modulated by contextual information. Living abroad during the coronavirus disease 2019 (COVID-19) pandemic may have boosted the feeling of isolation as the context is unfamiliar.

This study compared the psychological impact of social distancing in national students (living in a familiar context) versus international students (living in an unfamiliar context).

During March/April 2020 (first lockdown in the Netherlands), 850 university students completed an online survey. Structural equation modeling (SEM) was conducted to compare how students’ responses to the virus were predicted by health anxiety, emotional distress, and personal traits.

Compared with national students, international students showed higher levels in 4 identified factors (COVID-19-related worry, perceived risk of infection, distance from possibly contaminated objects, distance from social situations). The factors were mainly predicted by health anxiety across international students, while emotional distress and individual traits (eg, intolerance of uncertainty) played a role across national students.

In the familiar context, individual characteristics (traits) predicted the responses to the virus, while the unfamiliar context drove individuals’ health-focused responses. Living in a foreign country is associated with psychological burdens and this should be considered by universities for more pronounced social support and clear references to health-related institutions.

Vaccine acceptance and trust in vaccines pose a complex process affected by many factors. The present study was conducted to determine coronavirus disease 2019 (COVID-19) vaccine acceptance, trust in vaccines, anxiety levels, and related factors in Turkish society.

The data of this cross-sectional and descriptive-correlational study were collected with the snowball method by using an online questionnaire throughout Turkey. The study was conducted between March 15 and April 3, 2021, with 3148 participants from 7 regions and 81 cities in Turkey.

It was found that the participants accepted the vaccine at 72.8%, and the trust rate in the vaccine was 66.0%. It was also found that women, single participants, those who had immune system diseases, and with COVID-19 had higher Coronavirus Anxiety Scale scores at significant levels. According to Logistic Regression Analysis, gender, age, trust in the vaccine, perception of risk levels regarding COVID-19, and coronavirus anxiety levels are factors affecting the intentions of participants to accept/reject the vaccine. It was determined that male participants were more likely to accept the coronavirus vaccine (P = 0.028). It was found that health-care employees had higher trust in the coronavirus vaccine (P = 0.006) and acceptance rates (P = 0.010) at significant levels compared with the general population.

The COVID-19 vaccine acceptance rate in Turkish society was found to be high, and the level of trust in vaccines and anxiety levels were above the moderate level.

To compare actual patient presentation rates from Belgium’s largest public open-air cultural festival with predictions provided by existing models and the Belgian Plan Risk Manifestations model.

Retrospectively, actual patient presentation rates gathered from the Ghent Festivities (Belgium) during 2013–2019 were compared to predicted patient presentation rates by the Arbon, Hartman, and PRIMA models.

During 7 editions, 8673000 people visited the Ghent Festivities; 9146 sought medical assistance resulting in a mean patient presentation rate (PPR) of 1.05. The PRIMA model overestimated the number of patient encounters for each occasion. The other models had a high rate of underprediction. When comparing deviations in predictions between the PRIMA model to the other models, there is a significant difference in the mean deviation (Arbon: T = 0.000, P < 0.0001, r = −0.8701; Hartman: T = 0.000, P < 0.0001, r = −0.869).

Despite the differences between the predictions of all 3 models, our results suggest that the PRIMA model is a valid tool to predict patient presentations to IEHS during public cultural MG. However, to substantiate the PRIMA model even further, more research is needed to further validate the model for a broad range of MG.