Seizures, transient signs or symptoms caused by abnormal surges of electrical activity in the brain, can result from epilepsy, a neurologic disorder characterized by abnormal electrical brain activity causing recurrent, unprovoked seizures, or from other inciting causes, such as high fever or substance abuse (1). Seizures generally account for approximately 1% of all emergency department (ED) visits (2,3). Persons of any age can experience seizures, and outcomes might range from no complications for those with a single seizure to increased risk for injury, comorbidity, impaired quality of life, and early mortality for those with epilepsy (4). To examine trends in weekly seizure- or epilepsy-related (seizure-related) ED visits(†) in the United States before and during the COVID-19 pandemic, CDC analyzed data from the National Syndromic Surveillance Program (NSSP).(§) Seizure-related ED visits decreased abruptly during the early pandemic period. By the end of 2020, seizure-related ED visits returned almost to prepandemic levels for persons of all ages, except children aged 0-9 years. By mid-2021, however, this age group gradually returned to baseline as well. Reasons for the decrease in seizure-related ED visits in 2020 among all age groups and the slow return to baseline among children aged 0-9 years compared with other age groups are unclear. The decrease might have been associated with fear of exposure to COVID-19 infection in EDs deterring parents or guardians of children from seeking care, adherence to mitigation measures including avoiding public settings such as EDs, or increased access to telehealth services decreasing the need for ED visits (5). These findings reinforce the importance of understanding factors associated with ED avoidance among persons with epilepsy or seizure, the importance that all eligible persons be up to date(¶) with COVID-19 vaccination, and the need to encourage persons to seek appropriate care for seizure-related emergencies** to prevent adverse outcomes.

Monitoring primary care providers' (PCP) attitudes and experiences with referrals of their patients with new-onset seizures or existing epilepsy/seizure disorders may help evaluate whether interventions to coordinate PCP and neurology care reduce treatment gaps and improve patient outcomes. To examine PCPs' attitudes toward, and experiences with, referral to specialty care of their patients with new-onset seizures or existing epilepsy/seizure disorders, we used cross-sectional 2018 DocStyles data to examine study outcomes. We selected a subsample of respondents who had a practice with at least 1% of patients with an epilepsy/seizure disorder and who answered questions about this disorder. We stratified provider actions, referral behavior, and referral enabling factors and barriers by epilepsy/seizure disorder caseload and provider type. We examined different patterns of responses by referral behavior and provider type. The final sample (n = 1284) included 422 family practitioners, 432 internists, 233 pediatricians, and 197 nurse practitioners. Most PCPs refer their patients with new-onset seizures to a neurologist, particularly to determine or confirm the diagnosis and appropriate treatment. Strikingly, about 40% of PCPs did not indicate a referral if their epilepsy/seizure disorder patient was unresponsive to treatment. Internists less likely referred their patients than pediatricians, nurse practitioners, or family practitioners. Less than one-third of all practitioners consulted seizure treatment guidelines. Prompt appointments, communication with the PCP, the patient's insurance, and referral back to primary care may facilitate referrals. Interventions that enhance enabling factors for guidelines-based care and that can increase opportunities for PCPs to consult with neurologists and/or refer their patients with uncontrolled seizures to specialty care are warranted.

Cigarette smoking remains the leading cause of preventable disease and death in the United States (1). Although the percentage of all U.S. adults who smoke cigarettes has declined substantially since the mid-1960s (1,2), marked disparities persist, and declines have not been consistent across population groups (1,2). Studies have shown that cigarette smoking is as common, and sometimes more so, among adults with a history of epilepsy compared with those without a history of epilepsy, but reasons for this are unclear (3-6). Compared with adults without epilepsy, adults with epilepsy report lower household income, more unemployment and disability, worse psychological health, and reduced health-related quality of life (3,4,6,7). Trends in cigarette smoking among U.S. adults with epilepsy have not been previously assessed. CDC analyzed National Health Interview Survey (NHIS) data among 121,497 U.S. adults from 2010, 2013, 2015, and 2017 to assess current cigarette smoking by epilepsy status. From 2010 through 2017, the age-standardized percentages of current smoking were 24.9% among adults with active epilepsy, 25.9% among adults with inactive epilepsy, and 16.6% among adults with no history of epilepsy. After accounting for differences in data collection intervals and patterns in smoking status among subgroups, CDC found that current cigarette smoking declined significantly from 2010 to 2017 among adults with no history of epilepsy (19.3% to 14.0% [p<0.001]) and inactive epilepsy (29.2% to 16.2% [p = 0.03]), but declines among adults with active epilepsy were not statistically significant (26.4% to 21.8% [p = 0.2]). Epilepsy health and social service providers should promote smoking cessation resources to adults with active epilepsy who smoke cigarettes to help them quit smoking and to reduce their risk of smoking-related disease and death.

This study used the most recent national data on epilepsy from the 2017 National Health Interview Survey (NHIS) to examine the distribution of types of provider visits in the last 12 months among 2.9 million adult respondents aged ≥18 years with active epilepsy (self-reported doctor-diagnosed epilepsy taking antiseizure medications and/or having ≥1 seizure in the past year) and compared these estimates with 2010 NHIS data. We calculated age-standardized percentages of visits to a general doctor and an epilepsy specialist during the past 12 months, accounting for the complex survey design. Among US adults with active epilepsy in 2017, 27.1% saw a general doctor only, 9.0% saw a neurologist/epilepsy specialist only, 53.0% visited both a general doctor and a neurologist/epilepsy specialist, and 11.4% did not see either a general doctor or a neurologist/specialist. Overall, 62.0% [95% confidence interval (CI) = 55.2%-67.5%] of adults with active epilepsy visited a neurologist or epilepsy specialist in the past year. A visit in the past 12 months with both provider types was not significantly different in 2017 compared with 2010 (53.0% vs 46.2%) while seeing a general doctor only had declined (41.8% vs 27.1%, p < 0.05). Given that 79.8% of US adults with active epilepsy reported being seen by a general doctor within the past 12 months, epilepsy stakeholders have an opportunity to enhance epilepsy care by ensuring that general practitioners have access to the latest information about epilepsy diagnosis and new treatment options. National Health Interview Survey data can be used to track the distribution of provider visits in the coming decade to assess changes in access to primary care, specialty care, or other types of healthcare for people with epilepsy.

Epilepsy is more common among children and adults living in households at lowest incomes. Like those living with any complex chronic condition, people with epilepsy need quality healthcare to improve their health and social outcomes. The purpose of this study was to use the latest national data to provide updated estimates of the percentages of adults aged 18-64years with active epilepsy who were uninsured in 2010, 2013, 2015, and 2017 and to examine changes in health insurance coverage during these years. We analyzed nationally representative samples of adults (aged 18-64years) from the 2010, 2013, 2015, and 2017 National Health Interview Survey (NHIS). We used a validated epilepsy surveillance case definition to classify adults as having active epilepsy during 2010 and 2013 (n=507) and during 2015 and 2017 (n=582). We used the NHIS recode variables available in each year that account for a series of questions posed to respondents to confirm coverage and that ultimately classify respondents with different healthcare coverage types. Overall, the percentage of uninsured adults among respondents aged 18-64years with active epilepsy decreased by more than half (59%), from 17.7% (95% confidence interval [CI]=13.6%-22.7%) in 2010 and 2013 to 7.3% (95% CI=4.8%-10.7%) in 2015 and 2017. The decrease in the percentage of uninsured adults with active epilepsy after 2010 and 2013 was balanced by a similar increase in public insurance coverage and private insurance coverage in 2015 and 2017. Epilepsy stakeholders can ensure that all uninsured adults with epilepsy obtain access to health insurance coverage. National Health Interview Survey data on epilepsy, when available, can be used to monitor trends in insurance status in the new decade.

Serious psychological distress (SPD) includes mental health problems severe enough to cause moderate-to-serious impairment in daily activities and to require treatment. Serious psychological distress is based on answers to six survey questions from the Kessler-6 scale used internationally in public health surveillance systems to assess recent feelings of sadness, restlessness, hopelessness, nervousness, worthlessness, and the sense that everything is an effort. We combined nationally representative samples in the National Health Interview Survey (NHIS) from 2010 (N=27,157), 2013 (N=34,557), 2015 (N=33,672), and 2017 (N=26,742). We used a validated surveillance case definition to classify adults as having epilepsy if they reported a history of doctor-diagnosed epilepsy or seizure disorder (n=2251). We further classified those with epilepsy as having active epilepsy (n=1380) if they reported either taking epilepsy medications or having at least one seizure in the past 12months or as having inactive epilepsy (n=871) if they did not take epilepsy medication and had not had any seizures in the past 12months. We used an NHIS recoded variable that classifies adults by Hispanic origin and race. Following age adjustment, among adults with active epilepsy, SPD prevalence was 13.7% among non-Hispanic white adults, 11.2% among non-Hispanic black adults, 20.7% among Hispanic adults, and 17.5% among non-Hispanic other adults. Compared with adults without epilepsy, adults with active epilepsy were 4.8 times more likely, and adults with inactive epilepsy 2.6 times more likely, to report SPD. In each racial/ethnic group, SPD among adults with active epilepsy is significantly higher than in adults without epilepsy. Among adults with active epilepsy, SPD prevalence did not differ by racial/ethnic groups. However, only among non-Hispanic white adults with inactive epilepsy did SPD prevalence significantly exceed that among non-Hispanic white adults without epilepsy. Epilepsy stakeholders can use these estimates to target culturally appropriate community-based and clinic-based interventions to reduce the high burden of psychological distress among adults with active epilepsy and inactive epilepsy.

Epilepsy is common in older adults because known risk factors-such as traumatic brain injury, stroke, cerebrovascular disease, neurodegenerative disorders, and neoplasms-increase with age. This study uses the most recent data from the 2010, 2013, and 2015 National Health Interview Survey (NHIS) to provide updated national estimates of epilepsy prevalence among US adults aged 55years or older to help guide public health action. We used the following validated surveillance case definition for active epilepsy: adults with self-reported doctor-diagnosed epilepsy or seizure disorder who reported either currently taking medications to treat their epilepsy or seizure disorder or at least one seizure during the past 12months. We estimated the prevalence of active epilepsy to be 1.4% (about 529,000) among US adults aged 55-64, 0.9% (225,000) for those aged 65-74, and 1.0% (178,000) for those aged >/=75years. The prevalence of a history of epilepsy and active epilepsy among adults aged 55-64years was significantly higher than the prevalence in older age groups. Collectively, close to 1 million adults aged 55years or older reported active epilepsy. Epilepsy stakeholders should ensure that older adults with epilepsy have access to age-appropriate clinical preventive services, chronic disease self-management support, specialty care for epilepsy and other comorbidities, and appropriate community services to promote quality of life.

The distribution of epilepsy types varies by age, etiology, provider diagnostic capabilities, and assessment criteria. No recent US study has examined the distribution of epilepsy types in a large, population-based sample of people with epilepsy. We used MarketScan data from January 1, 2010 through September 30, 2015, to estimate the proportion of epilepsy types among all (N=370,570) individuals diagnosed with epilepsy. We identified cases of epilepsy as individuals with at least one International Classification of Disease, 9th version (ICD-9) diagnostic code of 345.X and the use of at least one antiseizure drug described in the 2015 MarketScan Redbook. Unspecified epilepsy was more common (36.8%) than focal-localized epilepsy (24.6%), generalized convulsive epilepsy (23.8%), generalized nonconvulsive epilepsy (8.9%), other forms of epilepsy (5.2%), infantile spasm (0.3%), and epilepsia partialis continua (0.3%). The high proportion of epilepsy classified as unspecified might be lowered by improved training in epilepsy diagnosis and coding.

Salmonella causes an estimated 1.2 million illnesses annually in the USA. Salmonella enterica serotype Javiana (serotype Javiana) is the fourth most common serotype isolated from humans, with the majority of illnesses occurring in southeastern states. The percentage of wetland cover by wetland type and the average incidence rates of serotype Javiana infection in selected counties of the Foodborne Disease Active Surveillance Network (FoodNet) were examined. This analysis explored the relationship between wetland environments and incidence in order to assess whether regional differences in environmental habitats may be associated with observed variations in incidence. Findings suggest that environmental habitats may support reservoirs or contribute to the persistence of serotype Javiana, and may frequently contribute to the transmission of infection compared with other Salmonella serotypes.

Smokeless tobacco products contain numerous chemical compounds, including known human carcinogens. Other smokeless tobacco constituents, including bacteria, may also contribute to adverse health effects among smokeless tobacco users. However, there is a lack of data regarding the microbial constituents of smokeless tobacco. Our goal was to characterize the bacterial microbiota of different smokeless tobacco products and evaluate differences across product types and brands. DNA was extracted from 15 brands of smokeless tobacco products (including dry snuff, moist snuff, snus, and Swedish snus) and 6 handmade products (e.g., toombak) using an enzymatic and mechanical lysis approach. Bacterial community profiling was performed using PCR amplification of the V1-V2 hypervariable region of the 16S rRNA gene, followed by 454 pyrosequencing of the resulting amplicons and sequence analysis using the QIIME package. Total viable counts were also determined to estimate the number of viable bacteria present in each product. Average total viable counts ranged from 0 to 9.35 x 107 CFU g-1. Analysis of the 16S rRNA gene sequences revealed high bacterial diversity across the majority of products tested: dry snuff products where characterized by the highest diversity indices compared to other products. The most dominant bacterial phyla across all products were Firmicutes, Proteobacteria, Actinobacteria, and Bacteroidetes. Significant differences in both bacterial community composition and in silico predicted gene content were observed between smokeless tobacco product types and between brands of specific smokeless tobacco products. These data are useful in order to comprehensively address potential health risks associated with the use of smokeless tobacco products.

BACKGROUND: Warmer temperature can alter seasonality of pollen as well as pollen concentration, and may impact allergic diseases such as hay fever. Recent studies suggest that extreme heat events will likely increase in frequency, intensity, and duration in coming decades in response to changing climate. OBJECTIVE: The overall objective of this study was to investigate if extreme heat events are associated with hay fever. METHODS: We linked National Health Interview Survey (NHIS) data from 1997 to 2013 (n = 505,386 respondents) with extreme heat event data, defined as days when daily maximum temperature (TMAX) exceeded the 95th percentile values of TMAX for a 30-year reference period (1960-1989). We used logistic regression to investigate the associations between exposure to annual and seasonal extreme heat events and adult hay fever prevalence among the NHIS respondents. RESULTS: During 1997-2013, hay fever prevalence among adults 18 years and older was 8.43%. Age, race/ethnicity, poverty status, education, and sex were significantly associated with hay fever status. We observed that adults in the highest quartile of exposure to extreme heat events had a 7% increased odds of hay fever compared with those in the lowest quartile of exposure (odds ratios: 1.07, 95% confidence interval: 1.02-1.11). This relationship was more pronounced for extreme heat events that occurred during spring season, with evidence of an exposure-response relationship (Ptrend < .01). CONCLUSIONS: Our data suggest that exposure to extreme heat events is associated with increased prevalence of hay fever among US adults.

Climate change is anticipated to alter the production, use, release, and fate of environmental chemicals, likely leading to increased uncertainty in exposure and human health risk predictions. Exposure science provides a key connection between changes in climate and associated health outcomes. The theme of the 2015 Annual Meeting of the International Society of Exposure Science-Exposures in an Evolving Environment-brought this issue to the fore. By directing attention to questions that may affect society in profound ways, exposure scientists have an opportunity to conduct "consequential science"-doing science that matters, using our tools for the greater good and to answer key policy questions, and identifying causes leading to implementation of solutions. Understanding the implications of changing exposures on public health may be one of the most consequential areas of study in which exposure scientists could currently be engaged. In this paper, we use a series of case studies to identify exposure data gaps and research paths that will enable us to capture the information necessary for understanding climate change-related human exposures and consequent health impacts. We hope that paper will focus attention on under-developed areas of exposure science that will likely have broad implications for public health.

BACKGROUND: Campylobacter is a leading cause of foodborne illness in the United States. Campylobacter infections have been associated with individual risk factors, such as the consumption of poultry and raw milk. Recently, a Maryland-based study identified community socioeconomic and environmental factors that are also associated with campylobacteriosis rates. However, no previous studies have evaluated the association between community risk factors and campylobacteriosis rates across multiple U.S. states. METHODS: We obtained Campylobacter case data (2004-2010; n = 40,768) from the Foodborne Diseases Active Surveillance Network (FoodNet) and socioeconomic and environmental data from the 2010 Census of Population and Housing, the 2011 American Community Survey, and the 2007 U.S. Census of Agriculture. We linked data by zip code and derived incidence rate ratios using negative binomial regression models. RESULTS: Community socioeconomic and environmental factors were associated with both lower and higher campylobacteriosis rates. Zip codes with higher percentages of African Americans had lower rates of campylobacteriosis (incidence rate ratio [IRR]) = 0.972; 95 % confidence interval (CI) = 0.970,0.974). In Georgia, Maryland, and Tennessee, three leading broiler chicken producing states, zip codes with broiler operations had incidence rates that were 22 % (IRR = 1.22; 95 % CI = 1.03,1.43), 16 % (IRR = 1.16; 95 % CI = 0.99,1.37), and 35 % (IRR = 1.35; 95 % CI = 1.18,1.53) higher, respectively, than those of zip codes without broiler operations. In Minnesota and New York FoodNet counties, two top dairy producing areas, zip codes with dairy operations had significantly higher campylobacteriosis incidence rates (IRR = 1.37; 95 % CI = 1.22, 1.55; IRR = 1.19; 95 % CI = 1.04,1.36). CONCLUSIONS: Community socioeconomic and environmental factors are important to consider when evaluating the relationship between possible risk factors and Campylobacter infection.

Epidemiological investigation of the impact of climate change on human health, particularly chronic diseases, is hindered by the lack of exposure metrics that can be used as a marker of climate change that are compatible with health data. Here, we present a surrogate exposure metric created using a 30-year baseline (1960-1989) that allows users to quantify long-term changes in exposure to frequency of extreme heat events with near unabridged spatial coverage in a scale that is compatible with national/state health outcome data. We evaluate the exposure metric by decade, seasonality, area of the country, and its ability to capture long-term changes in weather (climate), including natural climate modes. Our findings show that this generic exposure metric is potentially useful to monitor trends in the frequency of extreme heat events across varying regions because it captures long-term changes; is sensitive to the natural climate modes (ENSO events); responds well to spatial variability, and; is amenable to spatial/temporal aggregation, making it useful for epidemiological studies.

CDC designed its Health Systems Integration Program to prepare leaders to function-at the interface of public health and health care. Specific Health Systems Integration Program competencies in the areas of communication, analysis and assessment, and health systems were developed to nurture evidence-based decision-making and leadership skills crucial for future public health leaders. The program therefore designed an innovative journal club as part of its competency-based curriculum not only to meet the standard goals for a journal club critical reading, interpretation, and acquiring content knowledge but also to foster leadership development. This report describes the Health Systems Integration Program journal club format, its implementation, challenges, and key elements of success. Other programs using a journal club model as a learning format might consider using the Health Systems Integration Program's innovative approach that focuses on leadership development.

IMPORTANCE: Understanding the major health problems in the United States and how they are changing over time is critical for informing national health policy. OBJECTIVES: To measure the burden of diseases, injuries, and leading risk factors in the United States from 1990 to 2010 and to compare these measurements with those of the 34 countries in the Organisation for Economic Co-operation and Development (OECD) countries. DESIGN: We used the systematic analysis of descriptive epidemiology of 291 diseases and injuries, 1160 sequelae of these diseases and injuries, and 67 risk factors or clusters of risk factors from 1990 to 2010 for 187 countries developed for the Global Burden of Disease 2010 Study to describe the health status of the United States and to compare US health outcomes with those of 34 OECD countries. Years of life lost due to premature mortality (YLLs) were computed by multiplying the number of deaths at each age by a reference life expectancy at that age. Years lived with disability (YLDs) were calculated by multiplying prevalence (based on systematic reviews) by the disability weight (based on population-based surveys) for each sequela; disability in this study refers to any short- or long-term loss of health. Disability-adjusted life-years (DALYs) were estimated as the sum of YLDs and YLLs. Deaths and DALYs related to risk factors were based on systematic reviews and meta-analyses of exposure data and relative risks for risk-outcome pairs. Healthy life expectancy (HALE) was used to summarize overall population health, accounting for both length of life and levels of ill health experienced at different ages. RESULTS: US life expectancy for both sexes combined increased from 75.2 years in 1990 to 78.2 years in 2010; during the same period, HALE increased from 65.8 years to 68.1 years. The diseases and injuries with the largest number of YLLs in 2010 were ischemic heart disease, lung cancer, stroke, chronic obstructive pulmonary disease, and road injury. Age-standardized YLL rates increased for Alzheimer disease, drug use disorders, chronic kidney disease, kidney cancer, and falls. The diseases with the largest number of YLDs in 2010 were low back pain, major depressive disorder, other musculoskeletal disorders, neck pain, and anxiety disorders. As the US population has aged, YLDs have comprised a larger share of DALYs than have YLLs. The leading risk factors related to DALYs were dietary risks, tobacco smoking, high body mass index, high blood pressure, high fasting plasma glucose, physical inactivity, and alcohol use. Among 34 OECD countries between 1990 and 2010, the US rank for the age-standardized death rate changed from 18th to 27th, for the age-standardized YLL rate from 23rd to 28th, for the age-standardized YLD rate from 5th to 6th, for life expectancy at birth from 20th to 27th, and for HALE from 14th to 26th. CONCLUSIONS AND RELEVANCE: From 1990 to 2010, the United States made substantial progress in improving health. Life expectancy at birth and HALE increased, all-cause death rates at all ages decreased, and age-specific rates of years lived with disability remained stable. However, morbidity and chronic disability now account for nearly half of the US health burden, and improvements in population health in the United States have not kept pace with advances in population health in other wealthy nations.

BACKGROUND: Quantification of the disease burden caused by different risks informs prevention by providing an account of health loss different to that provided by a disease-by-disease analysis. No complete revision of global disease burden caused by risk factors has been done since a comparative risk assessment in 2000, and no previous analysis has assessed changes in burden attributable to risk factors over time. METHODS: We estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010. We estimated exposure distributions for each year, region, sex, and age group, and relative risks per unit of exposure by systematically reviewing and synthesising published and unpublished data. We used these estimates, together with estimates of cause-specific deaths and DALYs from the Global Burden of Disease Study 2010, to calculate the burden attributable to each risk factor exposure compared with the theoretical-minimum-risk exposure. We incorporated uncertainty in disease burden, relative risks, and exposures into our estimates of attributable burden. FINDINGS: In 2010, the three leading risk factors for global disease burden were high blood pressure (7.0% [95% uncertainty interval 6.2-7.7] of global DALYs), tobacco smoking including second-hand smoke (6.3% [5.5-7.0]), and alcohol use (5.5% [5.0-5.9]). In 1990, the leading risks were childhood underweight (7.9% [6.8-9.4]), household air pollution from solid fuels (HAP; 7.0% [5.6-8.3]), and tobacco smoking including second-hand smoke (6.1% [5.4-6.8]). Dietary risk factors and physical inactivity collectively accounted for 10.0% (95% UI 9.2-10.8) of global DALYs in 2010, with the most prominent dietary risks being diets low in fruits and those high in sodium. Several risks that primarily affect childhood communicable diseases, including unimproved water and sanitation and childhood micronutrient deficiencies, fell in rank between 1990 and 2010, with unimproved water and sanitation accounting for 0.9% (0.4-1.6) of global DALYs in 2010. However, in most of sub-Saharan Africa childhood underweight, HAP, and non-exclusive and discontinued breastfeeding were the leading risks in 2010, while HAP was the leading risk in south Asia. The leading risk factor in Eastern Europe, most of Latin America, and southern sub-Saharan Africa in 2010 was alcohol use; in most of Asia, North Africa and Middle East, and central Europe it was high blood pressure. Despite declines, tobacco smoking including second-hand smoke remained the leading risk in high-income north America and western Europe. High body-mass index has increased globally and it is the leading risk in Australasia and southern Latin America, and also ranks high in other high-income regions, North Africa and Middle East, and Oceania. INTERPRETATION: Worldwide, the contribution of different risk factors to disease burden has changed substantially, with a shift away from risks for communicable diseases in children towards those for non-communicable diseases in adults. These changes are related to the ageing population, decreased mortality among children younger than 5 years, changes in cause-of-death composition, and changes in risk factor exposures. New evidence has led to changes in the magnitude of key risks including unimproved water and sanitation, vitamin A and zinc deficiencies, and ambient particulate matter pollution. The extent to which the epidemiological shift has occurred and what the leading risks currently are varies greatly across regions. In much of sub-Saharan Africa, the leading risks are still those associated with poverty and those that affect children. FUNDING: Bill & Melinda Gates Foundation.

During the influenza A (H1N1) 2009 pandemic, the Countermeasure and Response Administration (CRA) system, a Centers for Disease Control and Prevention (CDC) computer-based informatics application, monitored H1N1 vaccine uptake during the early stages of the US vaccination program, from October through the end of November 2009. CRA, which directly monitors vaccine doses administered, was developed to support the mass tracking of medical countermeasure use during public health events and to complement population-based survey data on vaccination coverage during a pandemic influenza vaccination program. CRA provided weekly near real-time reports of H1N1 vaccine doses administered at national and state levels. On average, during any given week, 58.8 percent of the total data available to be reported was actually reported to CDC. During the 8-week mandatory reporting period, a cumulative total of 13,109,962 first-dose vaccine doses administered were reported through CRA, representing approximately 4.4 percent of the US population. Nearly 60 percent of these doses were administered to individuals aged 6 months to 24 years, an age interval that was included in the initial target groups prioritized to receive vaccine. CRA was a key component of the national surveillance system providing information on early uptake of H1N1 vaccine and monitoring program progress. These accomplishments indicate that CRA can effectively function as an immunization tool to monitor vaccine uptake during a pandemic.

The Countermeasure and Response Administration (CRA) system is a Centers for Disease Control and Prevention informatics application developed to track countermeasures, including medical interventions (eg, vaccinations and pharmaceuticals) and nonmedical interventions (eg, patient isolation, quarantine, and personal protective equipment), administered during a public health response. This case study follows the use of CRA as a supplement to paper-based processes during an exercise in which antimicrobials dispensed to individual exposed persons were captured after a simulated bioterrorist attack of anthrax spores. The exercise was conducted by the New Hampshire Division of Public Health Services on April 14, 2007. Automated systems like CRA can track when medications are dispensed. The data can then be used for performance metrics, statistics, and in locating victims for follow-up study. Given that this case study was limited to a single location in a relatively rural setting, the authors concluded that more study is needed to compare the feasibility of using an automated system rather than paper-based processes for effectively managing a very large-scale urgent public health response.