Symptoms of Depression, Anxiety, and Post-Traumatic Stress Disorder, and Suicidal Ideation Among School Nurses in Prekindergarten through Grade 12 Schools - United States, March 2022.

School nurses are integral to creating safe environments in U.S. schools. Many experienced increased work burden and stress during the COVID-19 pandemic. CDC collaborated with the National Association of School Nurses and the National Association of State School Nurse Consultants to distribute a 121-item online, anonymous survey to school nurses nationwide during March 7-30, 2022. Among the 7,971 respondents, symptoms of depression, anxiety and PTSD, and suicidal ideation were measured, and prevalence ratios were used to identify associations with demographics, workplace characteristics, and support. Results found high levels of work-related stressors and indicated that employment characteristics, COVID-19-related job duties, and other workplace stressors and supports affected school nurse mental health. The survey findings underscore the mental health challenges many school nurses experienced during the 2021/2022 school year. The findings can inform supportive policies and practices to reduce workplace stressors and increase workplace supports for school nurses.

Understanding COVID-19 Vaccine Hesitancy Among K-12 Staff, Parents, and Students: District of Columbia, February to April, 2022.

OBJECTIVE: Despite widespread availability of COVID-19 vaccines, millions of Americans have not received the recommended vaccine doses. In the District of Columbia (DC), COVID-19 vaccination rates are lowest among residents who are Non-Hispanic (NH) Black and among school-aged children. We assessed COVID-19 vaccine hesitancy among staff and parents of students in DC K-12 public and public charter schools. METHODS: We conducted a telephone-based survey from February 6 to April 16, 2022 to staff, students, and parents of students who participated in school-based COVID-19 screening testing. COVID-19-related survey items included: vaccination status, reasons for not getting vaccinated, perceived vaccine access, and trusted COVID-19 information sources. Utilizing time-to-event analyses, we evaluated differences across demographic groups. RESULTS: The interview response rate was 25.8% (308/1193). Most unvaccinated participants were NH Black and ages 5 to 11 years. Median time from vaccine eligibility to uptake was 236 days for NH Black participants vs. 10 days for NH White participants. Vaccine safety was the top concern among unvaccinated participants. Government and healthcare providers were the most trusted COVID-19 information sources. CONCLUSIONS: Differences in timing of vaccine uptake among respondents and greater vaccine hesitancy among NH Black participants compared to other racial/ethnic groups highlight a need for continued tailored outreach and communication using trusted sources to convey the importance, benefits, and safety of COVID-19 vaccination.

Twitter Conversations and English News Media Reports on Poliomyelitis in Five Different Countries, January 2014 to April 2015.

INTRODUCTION: Twitter and media coverage on poliomyelitis help maintain global support for its eradication. OBJECTIVE: To test our hypothesis that themes of polio-related tweets and media articles would differ by location of interest (hashtag of country name mentioned in the tweet; country name mentioned in media articles) but would be similar to each other (tweets and media articles) for each location of interest. METHODS: We retrospectively examined a 40% random sample of Twitter data containing the hashtag #polio from January 1, 2014, to April 30, 2015 (N = 79,333), from which we extracted 5 subcorpora each with a co-occurring hashtag #India (n = 5027), #Iraq (n = 1238), #Nigeria (n = 1364), #Pakistan (n = 11,427), and #Syria (n = 2952). We also retrieved and categorized 73 polio-related English-language news stories from within the same timeframe. We assessed the association between polio-related English news themes and the Twitter content. Descriptive analyses and unsupervised machine learning (latent Dirichlet allocation modeling) were conducted on the 5 Twitter subcorpora. RESULTS: The results of the latent Dirichlet allocation modeling on the specific subcorpora with country co-occurring hashtags showed significant differences between the 5 countries in terms of content. English mass media content focused largely on violence/conflicts and cases of polio, whereas social media focused on eradication and vaccination efforts along with celebrations. DISCUSSION: Contrary to our hypothesis, our evidence suggests Twitter content differs significantly from English mass media content. Evidence from our study helps inform media monitoring and communications surveillance during global public health crises, such as infectious disease outbreaks, as well as reactions to health promotion campaigns.