This study was conducted to assess the feasibility of extended use of N95 masks in our hospital during the coronavirus disease 2019 (COVID-19) pandemic. We also studied the use pattern, user satisfaction, and issues faced during extended use of the mask.

This cross-sectional study was conducted among health-care providers in a large tertiary care teaching hospital in northern India from April 1 to May 31, 2020. A list was prepared from the institute’s register, and participants were chosen by random sampling. The data collected from the physical forms were transferred to excel sheets.

A total of 1121 responses were received. The most common problem stated with reuse of N95 masks was loss of fit followed by damage to the slings, highlighted by 44.6% and 44.4% of the participants, respectively. A total of 476 (42.5%) participants responded that they would prefer “cup-shaped N95 mask with respirator”. The median scores regarding the satisfaction with the quality of masks and their fit was also 4 each.

It was concluded that the extended use of N95 masks was acceptable, with more than 96% of the participants using these masks.

This study aimed to carry out the validity and reliability study for the adaptation of the Competencies for Disaster Nursing Management Questionnaire (CDNMQ), which was developed by Al Thobaity and others in 2016, (https://pubmed.ncbi.nlm.nih.gov/26778698/) to Turkish, and to be able to use in the nursing literature.

This study was conducted in a methodological approach. The scale used in this study was a 10-point Likert scale with 43 items and 3 subfactors. The questionnaire was applied to 450 nurses. The validity and reliability of the scale were evaluated using the exploratory and confirmatory factor analysis. The content validity index was measured within the scope of the internal consistency measurements, and the Pearson’s product-moment correlation coefficient was examined for the test-retest.

The content validity index score was found to be 0.98. As a result of the confirmatory factor analysis of the CDNMQ, it was found that the 3-factor structure of the scale was valid and the goodness of fit tests was appropriate.

The findings have shown that the CDNMQ study is similar to the original scale and an adequate measurement tool in determining competencies in disaster nursing management.

Researchers at the Centers for Disease Control and Prevention monitor unplanned school closure (USC) reports through online systematic searches (OSS) to assist public health emergency responses. We counted the additional reports identified through social media along with OSS to improve USC monitoring.

Facebook and Twitter data of public-school districts and private schools in counties affected by California wildfires in October and December of 2017 and January of 2018 were retrieved. We computed descriptive statistics and performed multivariable logistic regression for both OSS and social media data.

Among the 362 public-school districts in wildfire-affected counties, USCs were identified for 115 (32%) districts, of which OSS identified 104 (90%), Facebook, 59 (52%), and Twitter, 37 (32%). These data correspond to 4622 public schools, among which USCs were identified for 888 (19.2%) schools, of which OSS identified 722 (81.3%), Facebook, 496 (55.9%), and Twitter, 312 (35.1%). Among 1289 private schools, USCs were identified for 104 schools, of which OSS identified 47 (45.2%), Facebook, 67 (64.4%), and Twitter, 29 (27.9%). USC announcements identified via social media, in addition to those via OSS, were 11 public school districts, 166 public schools, and 57 private schools.

Social media complements OSS as additional resources for USC monitoring during disasters.

An earthquake followed by tsunami and liquefaction on September 28, 2018, in Central Sulawesi caused health system disruptions. This study aimed to know health system disruption at the primary health center (PHC) level due to the disaster in 3 districts (Palu, Sigi, Donggala) of Central Sulawesi.

This was a qualitative study conducted in March 2019 involving 36 PHCs. Data were collected through interview of PHC officers using a structured questionnaire. Variables included disruption of management, budget, human resources, drug supply, Early Warning Alert and Response System (EWARS) of epidemic prone disease (EPD), human resource migration, health facility damage, and health facility access. Descriptive analysis was conducted to define disruption for a 1-y projection.

Health system disruptions in Palu affected management, budget, human resources, EWARS, health facility damage, and health access; occurred within 1-2 mo; and were projected to become better after 6 mo. Problems in Sigi were management, human resources, drug supply, EPD, and EWARS for 1 mo after disaster and were projected to be better after 2 mo. The problems in Donggala were health services access, management, human resources for 1 mo after the disaster and were projected to be normal after 2 mo.

Health system disruptions occurred in Central Sulawesi Province at the PHC level within 1-2 mo and were projected to become better after 3 mo in most PHCs.

This study aimed to investigate university students’ risk perception, protective measures, and general health during the coronavirus disease 2019 (COVID-19) pandemic in Turkey.

The research sample consisted of 1920 university students. The data were collected through an online questionnaire.

A total of 56.6% of the students considered their risk of being infected with the COVID-19. The number of measures taken by students was lower than expected. Students’ increased anxiety perceived individual risk level, insufficient social support perceptions, and their perceptions of the current pandemic more serious than previous epidemics affect the number of measures they take. Students had sleep and study problems, and suicidal thoughts in the social isolation period. Sex, studying in medicine, anxiety related to COVID-19, feeling unconfident in coping with the pandemic, social support, were determined to be risk factors regarding general health, sleep and study problems, and suicidal thoughts.

The results of the study showed that the measures taken by university students were insufficient and the precautions were affected by many factors. It was determined that their health was adversely affected by the pandemic. University administrations and decision-makers should consider the risk factors to improve the students’ experiences in such pandemics and emergencies.

Effective incident management is essential for coordinating efforts of multiple disciplines and stakeholders when responding to emergencies, including public health disasters such as the ongoing coronavirus disease 2019 (COVID-19) pandemic.

Existing research frameworks tend to focus on formal structures and doctrine (eg, ICS-NIMS); however, organizational processes that underlie incident management have not been systematically assessed and synthesized into a coherent conceptual framework.

The lack of a framework has hindered the development of measures of performance that could be used to further develop the evidence base and facilitate process improvement. To address this gap, we present a conceptual framework of incident management drawn from expert feedback and a review of literature on incident management and related fields. The framework features 23 measurement constructs grouped into 5 domains: (1) situational awareness and information sharing, (2) incident action and implementation planning, (3) resource management and mobilization, (4) coordination and collaboration, and (5) feedback and continuous quality improvement.

As such, the article provides a first step toward the development of robust measures for assessing the performance and effectiveness of incident management systems.

To compare food insecurity (FI) risk and food-related COVID-19 infection risk perceptions, practices, and problems (3P) in Washington (WA), New York (NY), and Louisiana (LA).

Data from the RAPID Multi-Wave Risk Perception Study was collected via online surveys between May 19 to July 14, 2020 (N = 1260). Multivariable - adjusted logistic and ordinal regressions were performed for odds of FI risk and 3P during these early months of the pandemic.

The determinants of FI risk in all states included income, age, and employment. Some determinants were state-specific: households with members at substantial risk for COVID-19 (WA and NY), ethnicity (NY), education, and relationship status (LA). The odds of FI risk were higher among those who perceived higher likelihood of COVID-19 infection via in-store shopping (OR = 1.34, 95% CI: 1.06, 1.70) and improperly cooked food (OR = 1.87, 95% CI: 1.46, 2.41). FI risk was associated with higher odds of problems related to food affordability (OR = 10.66, 95% CI: 7.87, 14.44), preference (OR = 2.51, 95% CI: 1.86, 3.39), sufficiency (OR = 2.63, 95% CI: 1.96, 3.54), food sources (OR = 7.68, 95% CI: 5.73, 10.31), food storage capacity (OR = 0.48, 95% CI: 0.36, 0.66), and knowing where to find help in obtaining food (OR= 7.68, 95% CI: 5.73, 10.31); most of which did not differ by state. No association was found between food insecurity risk and food-related practices.

Better food preparedness is needed to reduce FI risk during pandemics in specific groups in WA, NY, and LA. Specifically, food affordability, sufficiency, and storage, as well as sources, and increasing knowledge on food programs are limitations that need to be addressed for emergency situations.

This study aimed to assess the knowledge, attitude, and practice (KAP) of WeChat users towards health-related public accounts.

The study included 567 participants who completed the questionnaire. Pearson correlation analysis was used to evaluate the correlation among the 3 dimensions. Multivariate analysis identified independent factors associated with KAP scores.

The mean scores for knowledge, attitude, and practice were 6.12 ± 2.29 (61.2% of the total), 55.83 ± 7.33 (69.8% of the total), and 14.07 ± 3.72 (70.4% of the total), respectively. Significant positive correlations were observed between knowledge and practice (r = 0.392, P < 0.001) as well as between attitude and practice (r = 0.319, P < 0.001). Age [OR = 0.29 (0.09, 0.91), P = 0.034], marital status [OR = 2.11 (1.04, 4.29), P = 0.038], income [OR = 2.42 (1.23, 4.75), P = 0.010], and physical condition [OR = 0.45 (0.24, 0.85), P = 0.014] were independent factors associated with KAP scores.

WeChat users in China had relatively adequate knowledge and positive attitudes towards health-related public accounts. The findings highlight the potential of WeChat in enhancing health information dissemination in China.

The ongoing Russian–Ukrainian war has been linked to mental health problems in the Ukrainian general population. To date, however, scarce research has examined the mental health of psychosocial support workers (PSWs) in Ukraine who have a burdensome workload in the context of ongoing conflict. This study aimed to examine the prevalence and correlates of burnout, posttraumatic stress disorder (PTSD), and suicidal ideation (SI) in PSWs in Ukraine during the Russian–Ukrainian war.

One hundred seventy-eight PSWs in Ukraine completed a survey assessing war exposure, mental health, and psychosocial characteristics.

A total 59.6% of PSWs screened positive for burnout, 38.2% for PTSD, and 10.7% for current SI. Lower optimism was associated with greater odds of burnout. Greater distress from witnessing war-related destruction, lower optimism, lower presence of meaning in life, and lower levels of close social relationships were associated with greater odds of burnout. Lower presence of meaning in life was associated with greater odds of SI.

Results of this study highlight the mental health challenges faced by PSWs in Ukraine during the ongoing Russian–Ukrainian war. They further suggest that interventions to foster meaning in life and promote social connectedness may “help the helpers” during this ongoing conflict.