Disaster health literacy is vital for emergency medicine and public health preparedness. Conversely, how health and safety information is communicated has a significant impact on disaster health literacy. A lack of alignment between the disaster response and the public’s reaction was apparent during a Dutch chemical incident. This case study aims to provide insights into why that misalignment occurred.

The case study used readily available Twitter data. The tweets represented both the public and the authorities. The tweets were coded, thematically categorised, analysed, and synthesised to generate an explanatory framework describing the obstacles experienced during the emergency.

The analysis identified four areas of concern with regards to the lack of alignment between the authorities and the public: the alert of the chemical incident, the inadequate communication, the problematic disaster management, and the insufficient disaster health literacy.

The case study showed shortcomings in communication and a lack of alignment in the emergency response of the authorities as well as the public’s disaster health literacy. Immediate action points were apparent, and a more profound evaluation is recommended to avoid further escalation of an emergency in the future. Trust needs to be built before the next incident strikes.

In this study, we aimed to evaluate the correlation between the trauma score of individuals wounded in the Lushan earthquake and emergency workload for treatment. We further created a trauma score-emergency workload calculation model.

We included data from patients wounded in the Lushan earthquake and treated at West China Hospital, Sichuan University. We calculated scores per the following models separately: Revised Trauma Score (RTS), Prehospital Index (PHI), Circulation Respiration Abdominal Movement Speech (CRAMS), Therapeutic Intervention Scoring System (TISS-28), and Nursing Activities Score (NAS). We assessed the association between values for CRAMS, PHI, and RTS and those for TISS-28 and NAS. Subsequently, we built a trauma score-emergency workload calculation model to quantitative workload estimation.

Significant correlations were observed for all pairs of trauma scoring models with emergency workload scoring models. TISS-28 score was significantly associated with PHI score and RTS; however, no significant correlation was observed between the TISS-28 score and CRAMS score.

CRAMS, PHI, and RTS were consistent in evaluating the injury condition of wounded individuals; TISS-28 and NAS scores were consistent in evaluating the required treatment workload. Dynamic changes in emergency workload in unit time were closely associated with wounded patient visits.

This study explores the mental well-being of pregnant women in Japan during the coronavirus disease (COVID-19) pandemic.

We collected 1777 responses from pregnant women through an online survey. Using the Japanese version of the Edinburgh Postnatal Depression Scale (EPDS), we calculated the percentage of pregnant women above the cutoff (≥ 13), and the factor scores of anhedonia, anxiety, and depression. Regression analyses were performed to identify factors and socioeconomic characteristics correlated with depressive symptoms.

The point prevalence of pregnant women with an EPDS score of ≥ 13 was 17%. The mean scores were 0.73, 3.68, and 1.82 for anhedonia, anxiety, and depression, respectively. The probability of becoming above the cutoff score positively correlated with the cancellation of planned informal support, higher perceived risk for infection of COVID-19, difficulties in household finances, and lack of social support. Moreover, being younger, less wealthy, unemployed, and without a partner showed a significantly higher possibility of having a score above the cutoff.

The present study found a high percentage of pregnant women with depressive symptoms. Notably, COVID-19-related variables, including perceived risk for the infection, fear of decreasing economic wealth, and social support, were significantly associated with depressive symptoms.

The aim of this study was to determine the level of coronavirus disease 2019 (COVID-19) risk perceptions in Indonesia and characterize predictors of perceptions.

An online cross-sectional study was conducted. A questionnaire assessed perceived risk and collected independent variables, including sociodemographic data. A multivariable linear regression model was used to characterize the relationship between independent variables and perceived risk.

We included 1379 respondents in the final analysis with the mean and median of perceived risk score was 19.21% and 10.0%, respectively. Respondents aged between 21 and 30 years had the highest perceived risk, and those who were unmarried had 4.3% higher perceived risk compared with those who were married. Compared with the lowest monthly income group, those making Indonesian Rupiah (IDR) 6-10 million and more than IDR 10 million a month believed they had 4.2% and 8.8% higher risk, respectively. Citizens who lived in cities and health-care workers also had a higher perceived risk compared with those in the rural areas and non–health-care workers, respectively.

Perceived risk of COVID-19 in Indonesia is relatively low, and this could hamper the adoption of preventive measures of COVID-19. Efforts to increase the awareness and perceived risk are important to prevent the pandemic from escalating.

The aim of this study was to evaluate the effectiveness of training programs in improving the knowledge about disaster management among Accredited Social Health Activists (ASHAs) in Mysuru, India.

A quasi-experimental study was conducted among 40 ASHAs of 3 Primary Health Centers in Mysuru district. A 3-h disaster management training and workshop followed by a mock-drill was organized in each center. Knowledge about disaster preparedness and management was assessed before and 1 mo after the intervention using a questionnaire by interview method. The data obtained were entered into an MS Excel spreadsheet and analyzed using licensed SPSS 22 software.

The mean score obtained by the ASHAs in pretraining assessment was 37.2 ± 10.4. Improvement was evident in the knowledge and preparedness of ASHAs 1 mo after the training, which showed a mean score of 90.14 ± 5.05. This change in score was statistically significant with a P-value < 0.001 on performing a paired t-test.

Training programs with mock drills and hands-on activities are effective in improving the knowledge of frontline health workers about disaster management. We recommend such training to be organized in all public health facilities.