Mass Casualty Incidents (MCIs) pose significant challenges to health care systems, especially regarding emergency preparedness and response. This study aims to analyze the epidemiological characteristics and burden of MCIs in Spain from 2014 to 2022, focusing on the type, frequency, and impact of these incidents on public health and emergency services.

A population-based retrospective observational study examined MCIs in Spain between January 2014 and December 2022. Data were collected from various emergency services. Incidents involving 4 or more victims requiring medical assistance and ambulance mobilization were included. The study categorized MCIs into 5 types: road traffic accidents, fires and explosions, chemical poisonings, maritime accidents, and others.

A total of 1618 MCIs resulting in 8556 victims were identified, averaging 15 (95% CI, 11-19) incidents per month, with 79% due to road traffic accidents and 13% to fires and explosions, which also had the highest average of 7.6 victims per incident. Despite maritime accidents comprising only 1.9% of incidents, they had the highest fatality rate. MCIs were more frequent on weekends, in January and July, and between 3:00 PM and 9:00 PM. The average response time was 38 minutes, with 35% of victims sustaining severe injuries.

Despite a slight decrease in annual MCIs from 2014 to 2022 in Spain, the trend is not statistically significant. The study highlights the need for a national registry and standardized data collection to enhance emergency preparedness and response planning and facilitate the reduction of the MCI burden.

This study aims to assess the prevalence of Post-Traumatic Stress Disorder (PTSD) in mothers affected by the February 2023 earthquakes in Turkey and to explore the influence of spiritual well-being and other factors on their Post-Traumatic Growth (PTG) levels.

The study’s sample consisted of mothers invited to participate voluntarily through online social media platforms between October-December 2023. The Mother Information Form, Post-Traumatic Stress Disorder Control List, Post-Traumatic Growth Scale, and Spiritual Well-Being Scale (SWBS) were used as data collection instruments.

A total of 303 mothers participated in this study. The mean total PTSD score was 49.35 (SD: 19.76), and 83.5% of mothers were categorized under severe anxiety levels. There was a statistically significant weak and positive relationship between PTSD and PTG levels (r: 0.282, P:0.000). When the predictors of PTG are considered, the spiritual well-being of mothers significantly predicts PTG (F: 43.944, P: 0.000). It accounts for 12.7% (R Square = 0.127) of the variance in mothers’ PTG.

Mothers showed high PTSD levels 9 months after the earthquakes, but alongside these high levels, it has a positive relation with their PTG, which may show mothers becoming stronger after their traumatic experience. Study results showed the mothers’ spiritual levels were a significant predictor for PTG.

The objective of this study was to explore the burden of disasters and adverse health outcomes during and following disasters in Bangladesh.

We analyzed 6 788 947 respondents’ data from a cross-sectional and nationally representative 2021 Bangladesh Disaster-related Statistics (BDRS). The key explanatory variables were the types of disasters respondents faced, while the outcome variables were the disease burden during and following disasters. Descriptive statistics were used to determine disease burden. A multilevel mixed-effects logistic regression model assessed the association between disease burden and disaster types, along with socio-demographic characteristics of respondents.

Nearly 50% of respondents experienced diseases during disasters, rising to 53.4% afterward. Fever, cough and diarrhea were prevalent during and after disasters, with increases in skin diseases, malnutrition, and asthma post-disaster. Vulnerable groups, such as children aged 0–4, hijra individuals, those with lower education, people with disabilities, and rural residents, especially in Chattogram, Rangpur, and Sylhet divisions, were most affected. Floods, cyclones, thunderstorms, and hailstorms significantly increased disease likelihood during and after disasters.

The study underscores the complex relationship between disasters and health outcomes in Bangladesh, stressing the need for targeted public health interventions, improved health care infrastructure, and evidence-based policies to mitigate disaster-related health risks.

The emergency response capacity of nurses is quite important during the COVID-19 epidemic. This study aimed to determine the relationship of resilience with emergency response capacity and occupational stresses during COVID-19 re-outbreak.

This is a cross-sectional study that involved 241 new nurses. Questionnaires (including demographic characteristics and self-report questionnaires) were sent via QR code and used to conduct an online survey of new nurses. Resilience, emergency response capacity, and occupational stressors were measured using questionnaires.

Mean resilience score was 62.68 ± 14.04, which corresponds to a moderate level. Age, marital status, and work experience were significantly associated with resilience (P = 0.037, P = 0.046, P = 0.011) and emergency response capacity (P = 0.018, P = 0.045, P < 0.000). Total score and 3 dimensions of resilience were positively correlated with emergency response competency questionnaire and 3 dimensions (P < 0.01). Total scores of the nurse job stress scale and patient care dimension were negatively correlated with resilience scores (P < 0.05). Resilience played a partial mediating role in occupational stressors and emergency response capacity, and mediating effect accounted for 45.79% of the total effect.

The nursing superintendent must pay more attention to the resiliency of new nurses to reduce occupational stressors and improve emergency response capacity while helping new nurses cope with COVID-19 re-outbreak.

Diphtheria, a highly contagious disease that can be prevented through vaccination, is emerging in Khyber-Pakhtunkhwa, Pakistan, an area known for its instability, which presents a severe risk of becoming an epidemic. This is particularly concerning, as the Government of Pakistan intends to send (push back, actually) Afghan refugees back to Afghanistan. This research aims to study the outbreak from an epidemiological perspective and suggest ways to manage it.

The study uses data from the Khyber Pakhtunkhwa Department of Health Information System, which systematically collects data throughout the province.

Data from the provincial District Health Information System showed 291 confirmed cases of diphtheria across 28 districts, highlighting the considerable public health challenge posed by the disease’s capacity to spread widely. Among these, 16 cases were confirmed through laboratory tests, emphasizing the urgent need for better diagnostic services to identify diphtheria quickly and accurately. The research points out 4 specific outbreaks confirmed in laboratories in Batagram, Charsadda, Khyber, and Kohat, showcasing the broad geographic reach of the disease and the necessity for targeted public health initiatives in these areas.

By adopting a comprehensive and multi-faceted approach, there is a significant opportunity to reduce and ultimately eliminate the risk of diphtheria becoming an uncontrolled epidemic in the region.

The SDMPH 10-year anniversary conference created an opportunity for a researcher to present at a professional association conference to advance their research by seeking consensus of statements using Delphi methodology.

Conference attendees and SDMPH members who did not attend the conference were identified as Delphi experts. Experts rated their agreement of each statement on a 7- point linear numeric scale. Consensus amongst experts was defined as a standard deviation < = 1. Presenters submitted statements relevant to advancing their research to the authors to edit to fit Delphi statement formatting.

Statements attaining consensus were included in the final report after the first round. Those not attaining consensus moved to the second round in which experts were shown the mean response of the expert panel and their own response for opportunity to reconsider their rating for that round. If reconsideration attained consensus, these statements were included in the final report. This process repeated in a third and final round.

37 Experts agreed to participate in the first round; 35 completed the second round, and 34 completed the third round; 35 statements attained consensus; 3 statements did not attain consensus.

A Delphi technique was used to establish expert consensus of statements submitted by the SDMPH conference presenters to guide their future education, research, and training.

This study aimed to assess the relationship between COVID-19 infection-related conditions and depressive symptoms among medical staff after easing the zero-COVID policy in China, and to further examine the mediating role of professional burnout.

A total of 1716 medical staff from all levels of health care institutions in 16 administrative districts of Beijing, China, were recruited to participate at the end of 2022 in this cross-sectional study. Several multiple linear regressions and mediating effects tests were performed to analyze the data.

At the beginning of the end of the zero-COVID policy in China, 91.84% of respondents reported infection with COVID-19. After adjusting for potential confounding variables, the severity of infection symptoms was significantly positively associated with high levels of depressive symptoms (β = 0.06, P < 0.001), and this association was partially mediated by professional burnout. Specifically, emotional exhaustion (95% CI, 0.131, 0.251) and depersonalization (95% CI, 0.009, 0.043) significantly mediated the association between the severity of infection symptoms and depressive symptoms.

The mental health of medical staff with more severe symptoms of COVID-19 infection should be closely monitored. Also, interventions aimed at reducing emotional exhaustion and depersonalization may effectively reduce their risk of developing depressive symptoms.