This study examined how the multidimensional negative coronavirus disease (COVID-19) impacts contextualized the age differences in psychological distress following exposures to tornadoes and the COVID-19 pandemic.

Data were from a 2-wave panel study conducted at T1 (October 2020–August 2021) and T2 (May–August 2022). Latent class analysis was conducted to explore the patterns of negative COVID-19 impacts based on a sample of 1134 at T1. Negative binomial regressions were performed to examine the age differences in psychological distress at T2, based on the working sample (N = 554), as well as the moderating effect of identified class membership, with baseline psychological distress controlled.

Three latent classes were identified: class 1 “low overall impacts,” class 2 “moderate overall impacts with high emotional distress,” and class 3 “severe overall impacts.” Individuals ages 65 and over reported lower psychological distress at T2 relative to those ages 18–34 and 35–49. However, compared to people ages 18–34, 35–49, and 50–64, those ages 65 and over reported the greatest increases in T2 psychological distress if they had experienced moderate or severe overall COVID-19 impacts at T1.

There is a pressing need for mental health interventions that are tailored to multi-disaster scenarios and age-related differences in long-term disaster recovery.

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.

The aim of this study was to evaluate the management mode for the prevention and control of coronavirus disease 2019 (COVID-19) transmission used at a general hospital in Shenzhen, China, with the aim to maintain the normal operation of the hospital.

From January 2, 2020, to April 23, 2020, Hong Kong–Shenzhen Hospital, a tertiary hospital in Shenzhen, has operated a special response protocol named comprehensive pandemic prevention and control model, which mainly includes 6 aspects: (1) human resource management; (2) equipment management; (3) logistics management; (4) cleaning, disinfection, and process reengineering; (5) environment layout; (6) and training and assessment. The detail of every aspect was described, and its efficiency was evaluated.

A total of 198,802 patients were received. Of those, 10,821 were hospitalized; 26,767 were received by the emergency department and fever clinics; 288 patients were admitted for observation with fever; and 324 were admitted as suspected cases for isolation. Under the protocol of comprehensive pandemic prevention and control model, no case of hospital-acquired infection with COVID-19 occurred among the inpatients or staff.

The present comprehensive response model may be useful in large public health emergencies to ensure appropriate management and protect the health and life of individuals.

This study aims to assess the knowledge and awareness, and to identify the practice reflection of knowledge concerning Middle East Respiratory Syndrome (MERS) on hospital visitor’s daily life.

A cross-sectional study, conducted in 2 tertiary referral hospitals in Riyadh Saudi Arabia, from February 2015 to February 2016. A total random sample of 305 hospital visitors consented to participate. Data were collected through a self-administered questionnaire consisting of questions regarding awareness and practice of measures to prevent the spread of infection.

Study showed that participants have a fair knowledge regarding the cause of MERS (N = 228; 74.8%). Nearly half of them (47%) stated that camels are the source of the spread of MERS. Approximately 70% of the participants preferred both sanitization and wearing facemasks as preventive measures for MERS. However, only 3.95% practiced not eating camel products, such as milk and meat.

Although hospital visitors showed some knowledge and positive awareness in several aspects of MERS awareness, there are weak areas where knowledge and awareness were not up to recommended guidelines. Continued educational programs are needed to improve awareness and knowledge of all the public toward MERS-coronavirus infection. This study may assist in the development of future strategies on preventive measures of the disease.

Although dispatching ambulance crews from unaffected areas to a disaster zone is inevitable when a major disaster occurs, the effect on emergency care in the unaffected areas has not been studied. We evaluated whether dispatching ambulance crews from unaffected prefectures to those damaged by the Great East Japan Earthquake was associated with reduced resuscitation outcomes in out-of-hospital cardiac arrest (OHCA) cases in the unaffected areas.

We used the Box-Jenkins transfer function model to assess the relationship between ambulance crew dispatches and return of spontaneous circulation (ROSC) before hospital arrival or 1-month survival after the cardiac event.

In a model whose output was the rate of ROSC before hospital arrival, dispatching 1000 ambulance crews was associated with a 0.474% decrease in the rate of ROSC after the dispatch in the prefectures (p=0.023). In a model whose output was the rate of 1-month survival, dispatching 1000 ambulance crews was associated with a 0.502% decrease in the rate of 1-month survival after the dispatch in the prefectures (p=0.011).

The dispatch of ambulances from unaffected prefectures to earthquake-stricken areas was associated with a subsequent decrease in the ROSC and 1-month survival rates in OHCA cases in the unaffected prefectures. (Disaster Med Public Health Preparedness. 2015;9:609–613)

The Kahramanmaraş earthquakes struck the north-eastern part of Türkiye and Syria on February 6, 2023. It is well known that timely coordination and provision of emergency medical care in the field is particularly important to save lives after earthquakes. This study aimed to identify the challenges faced by medical responders on the ground.

This exploratory-descriptive qualitative study was conducted in Hatay, the province most affected by the earthquakes. Data were collected through in-depth semi-structured interviews and field observations, and then analyzed using thematic analysis approach.

The study was carried out with 15 first responders from the medical profession. The study revealed 9 themes of challenges faced by medical responders: providing safety and security, human resources management, meeting personal needs, recording data, communication, patient transport, burial procedures, psychological acumen, and logistical problems. Some problems were resolved after 72 h and some continued until day 7.

Inadequate organization of volunteer health workers, communication breakdowns, and logistical problems are some of the main challenges. To address these issues, satellite phones and radio systems can be promoted, as well as disaster-resilient logistical planning and better coordination of volunteers.

To explore how evacuees obtained health care information at their evacuation destinations after the Great East Japan Earthquake.

We conducted semi-structured interviews of 11 evacuees who moved to City A in Kyoto Prefecture following the Great East Japan Earthquake. The interviews explored how the evacuees obtained health care information, including the main factors of influence. The interviews were transcribed and analyzed to identify trends by using the constant comparative method.

Four categories emerged from 6 concepts. Mother-children evacuees and family evacuees tended to obtain health care information in different ways. Family evacuees had moved as a family unit and had obtained their health care information from local neighbors. Mother-children evacuees were mothers who had moved with their children, leaving behind other family members. These evacuees tended to obtain information from other mother-children evacuees. At the time of evacuation, we found 2 factors, emotions and systems, influencing how mother-children evacuees obtained health care information.

We found 2 different ways of obtaining health care information among mother-children evacuees and other evacuees. At the time of evacuation, 2 factors, emotions and systems, influenced how mother-children evacuees obtained health care information. Community-building support should be a priority from an early stage after a disaster for health care management. (Disaster Med Public Health Preparedness. 2017;11:729–734)

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.

Good hand hygienic practices are considered an important factor to curb the transmission and emergence of SARS-CoV -2. Various studies, conducted previously during the outbreaks of SARS-CoV and MERS-CoV, have ascertained the effectiveness of adopting good hand hygienic practices to curb the emergence of these viruses. This study aims to explore public hand hygienic practices during the peak pandemic period.

A descriptive cross-sectional study was conducted among the general population of Pakistan to investigate the knowledge and perception about hand hygiene, self-reported hand hygiene practices, adherence to hand hygienic guidelines, and barriers to optimal hand hygiene. Kruskal-Wallis test, Mann-Whitney U test, and Regression model were used for statistical analysis.

There was a significant difference in area-based knowledge (P = 0.026), beliefs (P = 0.027), and practices (P = 0.002) regarding hand hygiene. The results of regression analysis revealed that people in urban areas were more likely to have better knowledge (β = 0.108, CI = 0.076 − 0.05, P = 0.008) and better adherence (β = 0.115, CI = 0.514 − 2.68, P = 0.004) to hand hygienic practices.

Advertisements on television and other electronic media with appealing slogans could be effective in making people more compliant to optimal hand hygienic practices.

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.