Association between social vulnerability factors and unintentional fatal injury rates - United States, 2015-2019.

BACKGROUND: Differences in social and environmental factors can contribute to disparities in fatal injury rates. The purpose of this study was to examine the relationship between social and environmental factors and unintentional fatal injury across counties in the United States and how this relationship varies by geography. METHODS: County-level vital statistics on age-adjusted unintentional fatal injury rates for 2015-2019 were linked with county-level data from the 2018 Social Vulnerability Index (SVI), a dataset identifying socially vulnerable communities. We conducted linear regression to examine the association between SVI and unintentional fatal injury, overall and by Census region/division. We mapped county-level data for SVI and unintentional fatal injury rates in bivariate choropleth maps using quartiles. RESULTS: SVI was positively associated with unintentional fatal injury (ß = 18.29, p < 0.001) across U.S. counties. The geographic distribution of SVI and unintentional fatal injury rates varied spatially and substantially for U.S. counties, with counties in the South and West regions having the greatest levels of SVI and rates of unintentional fatal injury. CONCLUSIONS: Our findings demonstrate that the social vulnerability of counties is associated with unintentional fatal injury rates. Modification of the SVI for injury research could include additional social determinants and exclude variables not applicable to injuries. A modified SVI could inform unintentional injury prevention strategies by prioritizing efforts in areas with high levels of social vulnerability. PRACTICAL APPLICATIONS: This study is the first step in combining the SVI and injury mortality data to provide researchers with an index to investigate upstream factors related to injury.

Two decades of nonfatal injury data: a scoping review of the National Electronic Injury Surveillance System-All Injury Program, 2001-2021.

BACKGROUND: Injury is a leading cause of preventable morbidity and mortality in the USA. Ongoing surveillance is needed to understand changing injury patterns to effectively target prevention efforts. Launched jointly in 2000 by the Consumer Product Safety Commission (CPSC) and the Centers for Disease Control and Prevention (CDC), the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) provides national-level estimates of US emergency department visits for nonfatal injuries. A scoping review of peer-reviewed articles was conducted to characterize how NEISS-AIP data have been used for injury surveillance in the USA. MAIN BODY: This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Three bibliographic databases (PubMed, Scopus, and Google Scholar) were systematically searched for English language peer-reviewed articles that used NEISS-AIP data as the primary data source during 2001-2021. Key article characteristics from included articles were abstracted to generate descriptive summary statistics to understand the use and limitations of NEISS-AIP for injury surveillance. Database queries returned 6944 citations; 594 citations were manually reviewed, and 167 non-duplicate journal articles were identified. An average of 8.0 articles (range: 1-14) were published annually during 2001-2021. Articles appeared in 72 different journals representing a diverse audience with the majority of articles written by CDC authors. Starting in 2013, a higher proportion of articles were published by non-CDC authors. The largest number of articles examined injury among all age groups (n = 71); however, the pediatric population was the specific age group of greatest interest (n = 48), followed by older adults (n = 23). Falls (n = 20) and motor-vehicle-related injuries (n = 10) were the most studied injury mechanisms. The most commonly identified limitation identified by authors of reviewed articles was that NEISS-AIP only produces national estimates and therefore, cannot be used for state- or county-level injury surveillance (n = 38). CONCLUSIONS: NEISS-AIP has contributed to nonfatal injury surveillance in the USA. CDC and CPSC continue to work together to expand and enhance NEISS-AIP data collection. Researchers are encouraged to continue using this publicly available dataset for injury surveillance.

Addressing health disparities using multiply imputed injury surveillance data.

BACKGROUND: Assessing disparities in injury is crucial for injury prevention and for evaluating injury prevention strategies, but efforts have been hampered by missing data. This study aimed to show the utility and reliability of the injury surveillance system as a trustworthy resource for examining disparities by generating multiple imputed companion datasets. METHODS: We employed data from the National Electronic Injury Surveillance System-All Injury Program (NEISS-AIP) for the period 2014-2018. A comprehensive simulation study was conducted to identify the appropriate strategy for addressing missing data limitations in NEISS-AIP. To evaluate the imputation performance more quantitatively, a new method based on Brier Skill Score (BSS) was developed to assess the accuracy of predictions by different approaches. We selected the multiple imputations by fully conditional specification (FCS MI) to generate the imputed companion data to NEISS-AIP 2014-2018. We further assessed health disparities systematically in nonfatal assault injuries treated in U.S. hospital emergency departments (EDs) by race and ethnicity, location of injury and sex. RESULTS: We found for the first time that significantly higher age-adjusted nonfatal assault injury rates for ED visits per 100,000 population occurred among non-Hispanic Black persons (1306.8, 95% Confidence Interval [CI]: 660.1 - 1953.5), in public settings (286.3, 95% CI: 183.2 - 389.4) and for males (603.5, 95% CI: 409.4 - 797.5). We also observed similar trends in age-adjusted rates (AARs) by different subgroups for non-Hispanic Black persons, injuries occurring in public settings, and for males: AARs of nonfatal assault injury increased significantly from 2014 through 2017, then declined significantly in 2018. CONCLUSIONS: Nonfatal assault injury imposes significant health care costs and productivity losses for millions of people each year. This study is the first to specifically look at health disparities in nonfatal assault injuries using multiply imputed companion data. Understanding how disparities differ by various groups may lead to the development of more effective initiatives to prevent such injury.

Coping with oil spills: oil exposure and anxiety among residents of Gulf Coast states after the Deepwater Horizon Oil Spill.

In April 2010, a fatal explosion on the Deepwater Horizon drilling rig in the Gulf of Mexico resulted in the largest marine oil spill in history. This research describes the association of oil exposure with anxiety after the Deepwater Horizon Oil Spill and evaluates effect modification by self-mastery, emotional support and cleanup participation. To assess the impacts of the Deepwater Horizon Oil Spill, the Centers for Disease Control and Prevention (CDC) conducted the Gulf States Population Survey (GSPS), a random-digit-dial telephone cross-sectional survey completed between December 2010 and December 2011 with 38,361 responses in four different Gulf Coast states: Louisiana, Florida, Alabama and Mississippi. Anxiety severity was measured using the Generalised Anxiety Disorder (GAD) symptom inventory. We used Tobit regression to model underlying anxiety as a function of oil exposure and hypothesised effect modifiers, adjusting for socio-demographics. Latent anxiety was higher among those with direct contact with oil than among those who did not have direct contact with oil in confounder-adjusted models [ß = 2.84, 95% confidence interval (CI): 0.78, 4.91]. Among individuals with direct contact with oil, there was no significant interaction between participating in cleanup activities and emotional support for anxiety (p = 0.20). However, among those with direct contact with oil, in confounder-adjusted models, participation in oil spill cleanup activities was associated with lower latent anxiety (ß = -3.55, 95% CI: -6.15, -0.95). Oil contact was associated with greater anxiety, but this association appeared to be mitigated by cleanup participation.

Assessing Female Suicide From a Health Equity Viewpoint, U.S. 2004-2018.

INTRODUCTION: Geographic and urbanization differences in female suicide trends across the U.S. necessitates suicide prevention efforts on the basis of geographic variations. The purpose of this study was to assess female suicide rates by mechanism within Census divisions and by urbanicity to help inform geographically tailored approaches for suicide prevention strategies. METHODS: Data from 2004 to 2018 were obtained from the National Vital Statistics System (analyzed in 2021). Annual counts of female suicides were tabulated for firearm, suffocation, and drug poisoning and stratified by the U.S. Census division and urbanicity. Age-adjusted rates were calculated to describe female suicide incidence by geographic areas and urbanicity. Data were analyzed annually and by 5-year timeframes. Trends in annual female suicide rates by mechanism for 3 urbanization levels were identified using Joinpoint Regression. Annual percent change estimates were calculated for age-adjusted female suicide rates between 2004 and 2018. RESULTS: Female suicide rates by mechanism were not homogeneous within Census divisions or by urbanization levels. Suicide rates by mechanism across Census divisions within the same urbanization level varied (range=3.38-11.15 [per 100,000 person per year]). From 2014 to 2018 in large metropolitan areas in the northern divisions, rates for suffocation were higher than for firearms and drug poisoning. During the same period, in all urbanization levels in southern divisions, rates for firearms were higher than for suffocation and drug poisoning. CONCLUSIONS: Female suicide mechanisms vary by urbanization level, and this variation differs by region. These results could inform female suicide prevention strategies on the basis of mechanism, urbanization, and geographic region.

Comparison of National Vulnerability Indices Used by the Centers for Disease Control and Prevention for the COVID-19 Response.

OBJECTIVE: Vulnerability indices use quantitative indicators and geospatial data to examine the level of vulnerability to morbidity in a community. The Centers for Disease Control and Prevention (CDC) uses 3 indices for the COVID-19 response: the CDC Social Vulnerability Index (CDC-SVI), the US COVID-19 Community Vulnerability Index (CCVI), and the Pandemic Vulnerability Index (PVI). The objective of this review was to describe these tools and explain the similarities and differences between them. METHODS: We described the 3 indices, outlined the underlying data sources and metrics for each, and discussed their use by CDC for the COVID-19 response. We compared the percentile score for each county for each index by calculating Spearman correlation coefficients (Spearman ρ). RESULTS: These indices have some, but not all, component metrics in common. The CDC-SVI is a validated metric that estimates social vulnerability, which comprises the underlying population-level characteristics that influence differences in health risk among communities. To address risk specific to the COVID-19 pandemic, the CCVI and PVI build on the CDC-SVI and include additional variables. The 3 indices were highly correlated. Spearman ρ for comparisons between the CDC-SVI score and the CCVI and between the CCVI and the PVI score was 0.83. Spearman ρ for the comparison between the CDC-SVI score and PVI score was 0.73. CONCLUSION: The indices can empower local and state public health officials with additional information to focus resources and interventions on disproportionately affected populations to combat the ongoing pandemic and plan for future pandemics.

Injury-Related Emergency Department Visits During the COVID-19 Pandemic.

INTRODUCTION: On March 13, 2020, the U.S. declared COVID-19 to be a national emergency. As communities adopted mitigation strategies, there were potential changes in the trends of injuries treated in emergency department. This study provides national estimates of injury-related emergency department visits in the U.S. before and during the pandemic. METHODS: A secondary retrospective cohort study was conducted using trained, on-site hospital coders collecting data for injury-related emergency department cases from medical records from a nationally representative sample of 66 U.S. hospital emergency departments. Injury emergency department visit estimates in the year before the pandemic (January 1, 2019-December 31, 2019) were compared with estimates of the year of pandemic declaration (January 1, 2020-December 31, 2020) for overall nonfatal injury-related emergency department visits, motor vehicle, falls-related, self-harm-, assault-related, and poisoning-related emergency department visits. RESULTS: There was an estimated 1.7 million (25%) decrease in nonfatal injury-related emergency department visits during April through June 2020 compared with those of the same timeframe in 2019. Similar decreases were observed for emergency department visits because of motor vehicle‒related injuries (199,329; 23.3%) and falls-related injuries (497,971; 25.1%). Monthly 2020 estimates remained relatively in line with 2019 estimates for self-harm‒, assault-, and poisoning-related emergency department visits. CONCLUSIONS: These findings provide updates for clinical and public health practitioners on the changing profile of injury-related emergency department visits during the COVID-19 pandemic. Understanding the short- and long-term impacts of the pandemic is important to preventing future injuries.

The Epidemiology and Geographic Patterns of Natural Disaster and Extreme Weather Mortality by Race and Ethnicity, United States, 1999-2018.

OBJECTIVES: The adverse effects that racial and ethnic minority groups experience before, during, and after disaster events are of public health concern. The objective of this study was to examine disparities in the epidemiologic and geographic patterns of natural disaster and extreme weather mortality by race and ethnicity. METHODS: We used mortality data from the Centers for Disease Control and Prevention from January 1, 1999, through December 31, 2018. We defined natural disaster and extreme weather mortality based on International Classification of Diseases, 10th Revision codes X30-X39. We calculated age-adjusted mortality rates by race, ethnicity, and hazard type, and we calculated age-adjusted mortality rate ratios by race, ethnicity, and state. We used geographic mapping to examine age-adjusted mortality rate ratios by race, ethnicity, and state. RESULTS: Natural disasters and extreme weather caused 27 335 deaths in the United States during 1999-2018. Although non-Hispanic White people represented 68% of total natural disaster and extreme weather mortality, the mortality rate per 100 000 population among non-Hispanic Black people was 1.87 times higher (0.71) and among non-Hispanic American Indian/Alaska Native people was 7.34 times higher (2.79) than among non-Hispanic White people (0.38). For all racial and ethnic groups, exposure to extreme heat and cold were the 2 greatest causes of natural disaster and extreme weather mortality. Racial and ethnic disparities in natural disaster and extreme weather mortality were highest in the South, Southwest, Mountain West, and Upper Midwest. CONCLUSIONS: Racial and ethnic minority populations have a greater likelihood of mortality from natural disaster or extreme weather events than non-Hispanic White people. Our study strengthens the current knowledge base on these disparities and may inform and improve disaster preparedness and response efforts.

Leveraging data science to enhance suicide prevention research: a literature review.

OBJECTIVE: The purpose of this research is to identify how data science is applied in suicide prevention literature, describe the current landscape of this literature and highlight areas where data science may be useful for future injury prevention research. DESIGN: We conducted a literature review of injury prevention and data science in April 2020 and January 2021 in three databases. METHODS: For the included 99 articles, we extracted the following: (1) author(s) and year; (2) title; (3) study approach (4) reason for applying data science method; (5) data science method type; (6) study description; (7) data source and (8) focus on a disproportionately affected population. RESULTS: Results showed the literature on data science and suicide more than doubled from 2019 to 2020, with articles with individual-level approaches more prevalent than population-level approaches. Most population-level articles applied data science methods to describe (n=10) outcomes, while most individual-level articles identified risk factors (n=27). Machine learning was the most common data science method applied in the studies (n=48). A wide array of data sources was used for suicide research, with most articles (n=45) using social media and web-based behaviour data. Eleven studies demonstrated the value of applying data science to suicide prevention literature for disproportionately affected groups. CONCLUSION: Data science techniques proved to be effective tools in describing suicidal thoughts or behaviour, identifying individual risk factors and predicting outcomes. Future research should focus on identifying how data science can be applied in other injury-related topics.

An Innovative United States-Mexico Community Outreach Initiative for Hispanic and Latino People in the United States: A Collaborative Public Health Network.

Collaborative partnerships are a useful approach to improve health conditions of disadvantaged populations. The Ventanillas de Salud (VDS) ("Health Windows") and Mobile Health Units (MHUs) are a collaborative initiative of the Mexican government and US public health organizations that use mechanisms such as health fairs and mobile clinics to provide health information, screenings, preventive measures (eg, vaccines), and health services to Mexican people, other Hispanic people, and underserved populations (eg, American Indian/Alaska Native people, geographically isolated people, uninsured people) across the United States. From 2013 through 2019, the VDS served 10.5 million people (an average of 1.5 million people per year) at Mexican consulates in the United States, and MHUs served 115 461 people from 2016 through 2019. We describe 3 community outreach projects and their impact on improving the health of Hispanic people in the United States. The first project is an ongoing collaboration between VDS and the Centers for Disease Control and Prevention (CDC) to address occupational health inequities among Hispanic people. The second project was a collaboration between VDS and CDC to provide Hispanic people with information about Zika virus infection and health education. The third project is a collaboration between MHUs and the University of Arizona to provide basic health services to Hispanic communities in Pima and Maricopa counties, Arizona. The VDS/MHU model uses a collaborative approach that should be further assessed to better understand its impact on both the US-born and non-US-born Hispanic population and the public at large in locations where it is implemented.

Mortality From Forces of Nature Among Older Adults by Race/Ethnicity and Gender.

Older adults are especially vulnerable to disasters due to high rates of chronic illness, disability, and social isolation. Limited research examines how gender, race/ethnicity, and forces of nature-defined here as different types of natural hazards, such as storms and earthquakes-intersect to shape older adults' disaster-related mortality risk. We compare mortality rates among older adults (60+ years) in the United States across gender, race/ethnicity, and hazard type using the Centers for Disease Control and Prevention's Wonder database. Our results demonstrate that older adult males have higher mortality rates than females. American Indian/Alaska Native (AI/AN) males have the highest mortality and are particularly impacted by excessive cold. Mortality is also high among Black males, especially due to cataclysmic storms. To address disparities, messaging and programs targeting the dangers of excessive cold should be emphasized for AI/AN older adult males, whereas efforts to reduce harm from cataclysmic storms should target Black older adult males.

Validation of an Age-Appropriate Screening Tool for Female Athlete Triad and Relative Energy Deficiency in Sport in Young Athletes.

Background The purpose of this study was to determine the concurrent validity of a newly created relative energy deficiency in sport (RED-S) specific screening tool (RST) by comparing scores with the validated pre-participation gynecological examination (PPGE). We hypothesized that the investigators would observe no significant difference between the means of the RST and the PPGE survey. Methods This was a crossover study of 39 female subjects who completed both the RST and the PPGE. The survey order was randomized. Results The RST was validated compared with the PPGE (Pearson's r = 0.697, p < 0.001). Conclusion The administration of an RST to middle- and high-school female athletes was validated compared with the PPGE. Formatting limitations of the screening tool were highlighted, leading to changes that improved the accuracy of the screening tool prior to application in a clinical setting. The RST is an age-appropriate screening tool that can be used by coaches, athletic trainers, physical therapists, and other healthcare practitioners to detect RED-S risk and allow for earlier intervention.

Advancing injury and violence prevention through data science.

INTRODUCTION: The volume of new data that is created each year relevant to injury and violence prevention continues to grow. Furthermore, the variety and complexity of the types of useful data has also progressed beyond traditional, structured data. In order to more effectively advance injury research and prevention efforts, the adoption of data science tools, methods, and techniques, such as natural language processing and machine learning, by the field of injury and violence prevention is imperative. METHOD: The Centers for Disease Control and Prevention's (CDC) National Center for Injury Prevention and Control has conducted numerous data science pilot projects and recently developed a Data Science Strategy. This strategy includes goals on expanding the availability of more timely data systems, improving rapid identification of health threats and responses, increasing access to accurate health information and preventing misinformation, improving data linkages, expanding data visualization efforts, and increasing efficiency of analytic and scientific processes for injury and violence, among others. RESULTS: To achieve these goals, CDC is expanding its data science capacity in the areas of internal workforce, partnerships, and information technology infrastructure. Practical Application: These efforts will expand the use of data science approaches to improve how CDC and the field address ongoing injury and violence priorities and challenges.

Mechanisms of resiliency against depression following the Deepwater Horizon Oil Spill.

Prior studies of oil spills have reported adverse impacts on mental health, but have not examined some potentially important moderators. In this cross-sectional analysis of n=38,361 responses to the 2010-2011 Gulf States Population Survey, we assessed the association of direct oil contact with depression severity following the Deepwater Horizon oil spill, and modification by self-mastery, emotional support, and cleanup participation using Tobit regression models accounting for the complex survey design. Oil contact was associated with increased depression severity. Among respondents with oil contact, depression was more severe for those reporting lower self-mastery. However, respondents with oil contact had lower depression severity if they participated in cleanup efforts, compared to exposed individuals who did not participate. This potential protective effect was larger for respondents with lower self-mastery. Our results are consistent with the notion that participation in recovery efforts may reduce depressive symptoms following oil spills among impacted individuals.

Community Assessments for Public Health Emergency Response (CASPERs)-US Virgin Islands, 2017-2018.

Objectives. To assess preparedness levels of communities to help public health and others plan for disasters or emergencies and tailor messaging to increase community preparedness.Methods. US Virgin Islands Department of Health conducted a Community Assessment for Public Health Emergency Response (CASPER) in June 2017, 2 hurricane response CASPERs in November 2017, and a recovery CASPER in February 2018. CASPER is a 2-stage cluster sampling method designed to provide household-based information about a community's needs in a timely, inexpensive, and representative manner.Results. Roughly the same amount of households reported having a 3-day supply of food and water before and 3 months after the hurricanes. During the response, approximately a third of households resupplied between 3 and 6 days and an additional approximately 40% between days 7 and 14.Conclusions. On the basis of the CASPERs, we were able to track whether households had an emergency preparedness kit, whether they used it during the storms (and what was missing), and if they resupplied their kit in recovery.Public Health Implications. CASPER is a promising tool to measure community preparedness to help state, local, tribal, and territorial jurisdictions plan for disasters or emergencies.

Public Health Emergency Risk Communication and Social Media Reactions to an Errant Warning of a Ballistic Missile Threat - Hawaii, January 2018.

On January 13, 2018, at 8:07 a.m. Hawaii Standard Time, an errant emergency alert was sent to persons in Hawaii. An employee at the Hawaii Emergency Management Agency (EMA) sent the errant alert via the Wireless Emergency Alert (WEA) system and the Emergency Alert System (EAS) during a ballistic missile preparedness drill, advising persons to seek shelter from an incoming ballistic missile. WEA delivers location-based warnings to wireless carrier systems, and EAS sends alerts via television and radio (1). After 38 minutes, at 8:45 a.m., Hawaii EMA retracted the alert via WEA and EAS (2). To understand the impact of the alert, social media responses to the errant message were analyzed. Data were extracted from Twitter* using a Boolean search for tweets (Twitter postings) posted on January 13 regarding the false alert. Tweets were analyzed during two 38-minute periods: 1) early (8:07-8:45 a.m.), the elapsed time the errant alert circulated until the correction was issued and 2) late (8:46-9:24 a.m.), the same amount of elapsed time after issuance of the correction. A total of 5,880 tweets during the early period and 8,650 tweets during the late period met the search criteria. Four themes emerged during the early period: information processing, information sharing, authentication, and emotional reaction. During the late period, information sharing and emotional reaction themes persisted; denunciation, insufficient knowledge to act, and mistrust of authority also emerged as themes. Understanding public interpretation, sharing, and reaction to social media messages related to emergencies can inform development and dissemination of accurate public health messages to save lives during a crisis.

Determinants of oil-spill cleanup participation following the Deepwater Horizon oil spill.

BACKGROUND: On April 20, 2010, the Deepwater Horizon oil rig exploded, spilling over 4.9 million barrels of oil in the Gulf of Mexico over an 87-day period and developing into a long-term environmental disaster that affected people living in Gulf Coast states. Engagement of community members in recovery efforts is important for mitigating adverse effects of disasters and accelerating the rebuilding process for impacted communities; however, few studies have explored factors that determine participation in oil spill cleanups. METHODS: We analyzed data from the Gulf States Population Survey (GSPS) to study the determinants of participating in the Deepwater Horizon Oil Spill cleanup. The GSPS was a random-digit dialing survey conducted on 38,361 adults in counties and parishes in Alabama, Florida, Louisiana, and Mississippi impacted by the oil spill. Using survey estimation to account for the complex survey design, we estimated the probability of cleanup participation and used logistic regression to examine the association between sociodemographic factors and cleanup participation. RESULTS: Approximately 4.7% of residents in affected Gulf communities participated in the cleanup. Most participants were young, men, non-Hispanic white, and employed. Living in an affected coastal county was associated with higher odds of participation (unadjusted odds ratio [OR]: 1.69; 95% confidence interval [CI]: 1.28-2.24), as was having excellent or very good physical health (OR: 2.05; 95% CI: 1.11-3.81). Older persons were less likely to participate in the cleanup (OR for 65+ age group vs. 18-24 age group: 0.14; 95% CI: 0.05-0.36). CONCLUSIONS: Understanding the demographics of cleanup participants may help inform civilian recruitment for future oil spill responses.

Severe illness associated with reported use of synthetic cannabinoids: a public health investigation (Mississippi, 2015).

STUDY OBJECTIVES: In April 2015, a multistate outbreak of illness linked to synthetic cannabinoid (SC) use was unprecedented in magnitude and severity. We identified Mississippi cases in near-real time, collected information on cases to characterize the outbreak, and identified the causative SC. METHODS: A case was defined as any patient of a Mississippi healthcare facility who was suspected of SC use and presenting with ≥2 of the following symptoms: sweating, severe agitation, or psychosis during April 2-May 3, 2015. Clinicians reported cases to the Mississippi Poison Control Center (MPCC). We used MPCC data to identify cases at the University of Mississippi Medical Center (UMMC) to characterize in further detail, including demographics and clinical findings. Biologic samples were tested for known and unknown SCs by liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF/MS). RESULTS: Clinicians reported 721 cases (11 deaths) statewide; 119 (17%) were UMMC patients with detailed data for further analysis. Twelve (10%) were admitted to an intensive care unit and 2 (2%) died. Aggression (32%), hypertension (33%), and tachycardia (42%) were common. SCs were identified in serum from 39/56 patients (70%); 33/39 patients (85%) tested positive for MAB-CHMINACA (N-(1-amino-3,3-dimethyl-1-oxobutan-2-yl)-1-(cyclohexylmethyl)-1H-indazole-3-carboxamide) or its metabolites. Compared to all patients tested for SCs, those positive for MAB-CHMINACA were more likely to have altered mental status on examination (OR = 3.3, p = .05). CONCLUSION: SC use can cause severe health effects. MAB-CHMINACA was the most commonly detected SC in this outbreak. As new SCs are created, new strategies to optimize surveillance and patient care are needed to address this evolving public health threat.

Getting the Message Out: Social Media and Word-of-Mouth as Effective Communication Methods during Emergencies.

Effective communication is a critical part of managing an emergency. During an emergency, the ways in which health agencies normally communicate warnings may not reach all of the intended audience. Not all communities are the same, and households within communities are diverse. Because different communities prefer different communication methods, community leaders and emergency planners need to know their communities' preferred methods for seeking information about an emergency. This descriptive report explores findings from previous community assessments that have collected information on communication preferences, including television (TV), social media, and word-of-mouth (WoM) delivery methods. Data were analyzed from 12 Community Assessments for Public Health Emergency Response (CASPERs) conducted from 2014-2017 that included questions regarding primary and trusted communication sources. A CASPER is a rapid needs assessment designed to gather household-based information from a community. In 75.0% of the CASPERs, households reported TV as their primary source of information for specific emergency events (range = 24.0%-83.1%). Households reporting social media as their primary source of information differed widely across CASPERs (3.2%-41.8%). In five of the CASPERs, nearly one-half of households reported WoM as their primary source of information. These CASPERs were conducted in response to a specific emergency (ie, chemical spill, harmful algal bloom, hurricane, and flood). The CASPERs conducted as part of a preparedness activity had lower percentages of households reporting WoM as their primary source of information (8.3%-10.4%). The findings in this report demonstrate the need for emergency plans to include hybrid communication models, combining traditional methods with newer technologies to reach the broadest audience. Although TV was the most commonly reported preferred source of information, segments of the population relied on social media and WoM messaging. By using multiple methods for risk communication, emergency planners are more likely to reach the whole community and engage vulnerable populations that might not have access to, trust in, or understanding of traditional news sources. Multiple communication channels that include user-generated content, such as social media and WoM, can increase the timeliness of messaging and provide community members with message confirmation from sources they trust encouraging them to take protective public health actions.WolkinAF, SchnallAH, NakataNK, EllisEM. Getting the message out: social media and word-of-mouth as effective communication methods during emergencies. Prehosp Disaster Med. 2019;34(1):89-94.

School District Crisis Preparedness, Response, and Recovery Plans - United States, 2006, 2012, and 2016.

Children spend the majority of their time at school and are particularly vulnerable to the negative emotional and behavioral impacts of disasters, including anxiety, depressive symptoms, impaired social relationships, and poor school performance (1). Because of concerns about inadequate school-based emergency planning to address the unique needs of children and the adults who support them, Healthy People 2020 includes objectives to improve school preparedness, response, and recovery plans (Preparedness [PREP]-5) (2). To examine improvements over time and gaps in school preparedness plans, data from the 2006, 2012, and 2016 School Health Policies and Practices Study (SHPPS) were analyzed to assess changes in the percentage of districts meeting PREP-5 objectives. Findings from these analyses indicate that districts met the PREP-5 objective for requiring schools to include post-disaster mental health services in their crisis preparedness plans for the first time in 2016. However, trend analyses did not reveal statistically significant increases from 2006 to 2016 in the percentage of districts meeting any of the PREP-5 objectives. Differences in preparedness were detected in analyses stratified by urbanicity and census region, highlighting strengths and challenges in emergency planning for schools. To promote the health and safety of faculty, staff members, children, and families, school districts are encouraged to adopt and implement policies to improve school crisis preparedness, response, and recovery plans.