Seasonal Trends in Emergency Department Visits for Mental and Behavioral Health Conditions Among Children and Adolescents Aged 5-17 Years - United States, January 2018-June 2023.

Mental and behavioral health conditions among school-aged children, including substance use disorders and overall emotional well-being, are a public health concern in the United States. Timely data on seasonal patterns in child and adolescent conditions can guide optimal timing of prevention and intervention strategies. CDC examined emergency department (ED) visit data from the National Syndromic Surveillance Program for 25 distinct conditions during January 2018-June 2023 among U.S. children and adolescents aged 5-17 years, stratified by age group. Each year, during 2018-2023, among persons aged 10-14 and 15-17 years, the number and proportion of weekly ED visits for eight conditions increased in the fall school semester and remained elevated throughout the spring semester; ED visits were up to twice as high during school semesters compared with the summer period. Among children aged 5-9 years, the number and proportion of visits increased for five mental and behavioral health conditions. Seasonal increases in ED visits for some conditions among school-aged children warrant enhanced awareness about mental distress symptoms and the challenges and stressors in the school environment. Systemic changes that prioritize protective factors (e.g., physical activity; nutrition; sleep; social, community, or faith-based support; and inclusive school and community environments) and incorporate preparedness for increases in conditions during back-to-school planning might improve child and adolescent mental health.

Evaluation of an Emergency Department Visit Data Mental Health Dashboard.

CONTEXT: Local health departments (LHDs) need timely county-level and subcounty-level data to monitor health-related trends, identify health disparities, and inform areas of highest need for interventions as part of their ongoing assessment responsibilities; yet, many health departments rely on secondary data that are not timely and cannot provide subcounty insights. OBJECTIVE: We developed and evaluated a mental health dashboard in Tableau for an LHD audience featuring statewide syndromic surveillance emergency department (ED) data in North Carolina from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT). DESIGN: We developed a dashboard that provides counts, crude rates, and ED visit percentages at statewide and county levels, as well as breakdowns by zip code, sex, age group, race, ethnicity, and insurance coverage for 5 mental health conditions. We evaluated the dashboards through semistructured interviews and a Web-based survey that included the standardized usability questions from the System Usability Scale. PARTICIPANTS: Convenience sample of LHD public health epidemiologists, health educators, evaluators, and public health informaticians. RESULTS: Six semistructured interview participants successfully navigated the dashboard but identified usability issues when asked to compare county-level trends displayed in different outputs (eg, tables vs graphs). Thirty respondents answered all questions on the System Usability Scale for the dashboard, which received an above average score of 86. CONCLUSIONS: The dashboards scored well on the System Usability Scale, but more research is needed to identify best practices in disseminating multiyear syndromic surveillance ED visit data on mental health conditions to LHDs.

Examining the Effect of Pedestrian Crashes on Vulnerable Populations in North Carolina.

BACKGROUND: Over the last several years, pedestrian fatalities have increased in North Carolina; however, fatalities represent a small proportion of the total number of nonfatally injured pedestrians. Therefore, we linked statewide motor vehicle crash (MVC) and emergency department (ED) visit data to better understand the circumstances and characteristics of pedestrians treated in North Carolina emergency departments (EDs) for injuries related to crashes. METHODS: We linked information for pedestrians and bicyclists from 2017 North Carolina police-reported MVCs to population-based ED visit data using hierarchical deterministic methods. RESULTS: We linked 45% of pedestrian crash records to ED visit records (N = 1383 incident ED visits). The rate of pedestrians treated in North Carolina EDs for their injuries was 13.6 ED visits per 100,000 person years. For pedestrian injuries treated in North Carolina EDs, rates (per 100,000 person years in parentheses) were higher among men (15.5) and Black pedestrians (22.7) than women (10.6) and White pedestrians (8.2). Sociodemographic characteristics associated with serious injuries included age, sex, race/ethnicity, and expected source of payment for the ED visit. Crash characteristics associated with serious injuries included posted speed limit, ambient light, number of lanes, and striking vehicle type. LIMITATIONS: The study involved the use of secondary data, not collected specifically for pedestrian injury surveillance. CONCLUSIONS: Pedestrian injuries and fatalities place a considerable burden on the population of North Carolina, especially among persons of color and older adults. Injury prevention programs are actively addressing this problem, but more needs to be done.

Begin risk assessment for falls in women at 45, not 65.

The clinical and epidemiological literature provides guidelines for fall prevention starting at age 65; however, the focus on age ≥65 is not evidence based. Therefore, this study examined state-wide North Carolina emergency department visit data to examine the characteristics of falls across the age spectrum, identify the age at which the incidence of fall-related emergency department visits started to increase and determine whether these trends were similar for men and women. We determined that incidence rates of fall-related emergency department visits began to increase in early middle age, particularly for women. Since fall risk assessment and prevention activities should be initiated prior to an injurious fall, we recommend beginning these activities before age 65.

Use of syndromic surveillance data to monitor poisonings and drug overdoses in state and local public health agencies.

BACKGROUND: The incidence of poisoning and drug overdose has risen rapidly in the USA over the last 16 years. To inform local intervention approaches, local health departments (LHDs) in North Carolina (NC) are using a statewide syndromic surveillance system that provides timely, local emergency department (ED) and Emergency Medical Services (EMS) data on medication and drug overdoses. OBJECTIVE: The purpose of this article is to describe the development and use of a variety of case definitions for poisoning and overdose implemented in NC's syndromic surveillance system and the impact of the system on local surveillance initiatives. DESIGN, SETTING, PARTICIPANTS: Thirteen new poisoning and overdose-related case definitions were added to NC's syndromic surveillance system and LHDs were trained on their use for surveillance purposes. Twenty-one LHDs were surveyed on the utility and impact of these new case definitions. RESULTS/CONCLUSIONS: Ninety-one per cent of survey respondents (n = 29) agreed or strongly agreed that their ability to access timely ED data was vital to inform community-level overdose prevention work. Providing LHDs with access to local, timely data to identify pockets of need and engage stakeholders facilitates the practice of informed injury prevention and contributes to the reduction of injury incidence in their communities.

Use of syndromic surveillance at local health departments: movement toward more effective systems.

CONTEXT: Syndromic surveillance systems enhance public health practice in both large and small population settings. However, data from these systems are typically monitored by state and federal agencies and less frequently used by small public health agencies, such as local health departments (LHDs). Syndromic surveillance system modifications may facilitate use by LHDs. OBJECTIVE: To describe syndromic surveillance system modifications and survey LHD staff to assess subsequent changes in system use. DESIGN: Pre- and postintervention cross-sectional analysis. SETTING: North Carolina (NC) LHDs, 2009 and 2012. PARTICIPANTS: LHD nursing and preparedness staff. MAIN OUTCOME MEASURES: Use of syndromic surveillance data by LHDs for outbreak response, seasonal event response, program management, and stakeholder reports. RESULTS: In NC, syndromic surveillance system modifications made between 2009 and 2012 included implementation of LHD-specific data "dashboards" and increased distribution of LHD-specific surveillance information by the state public health agency. Users of LHD syndromic surveillance system increased from 99 in 2009 to 175 in 2012. Twenty-seven of 28 (96%) and 62 of 72 (86%) respondents completed the 2009 and 2012 surveys, respectively. Among respondents, 23% used syndromic surveillance data for outbreak response in 2009, compared with 25% in 2012. In 2009, 46% of respondents used these data for seasonal event response, compared with 57% in 2012. Syndromic surveillance data were used for program management by 25% of respondents in 2009 (compared with 30% in 2012) and for stakeholder reports by 23% of respondents in 2009 (compared with 33% in 2012). CONCLUSIONS: Syndromic surveillance system changes supported modest increases in LHD use of syndromic surveillance information. Because use of syndromic surveillance information at smaller LHD is rare, these modest increases indicate effective modification of the NC syndromic surveillance system.

EMS injury cause codes more accurate than emergency department visit ICD-10-CM codes for firearm injury intent in North Carolina.

BACKGROUND: The timeliness, accuracy, and completeness of data for firearm injury surveillance is crucial for public health surveillance efforts and informing injury prevention measures. While emergency department (ED) visit data can provide near real-time information on firearms injuries, there are concerns surrounding the accuracy of intent coding in these data. We examined whether emergency medical service (EMS) data provide more accurate firearm injury intent coding in comparison to ED data. METHODS: We applied a firearm injury definition to EMS encounter data in NC's statewide syndromic surveillance system (NC DETECT), from January 1, 2021, through December 31, 2022. We manually reviewed each record to determine intent, and the corresponding manual classifications were compared to the injury cause codes entered in the EMS data and to ED visit records where EMS-ED record linkage was possible. We then calculated the sensitivity, specificity, positive and negative predictive values for each intent classification in SAS 9.4 using the manually reviewed intent classifications as the gold standard. RESULTS: We identified 9557 EMS encounters from January 1, 2021, through December 31, 2022 meeting our firearm injury definition. After removing false positives and duplicates, 8584 records were available for manual injury classification. Overall, our analysis demonstrated that manual and EMS injury cause code classifications were comparable. However, for the 3401 EMS encounters that could be linked to an ED visit record, sensitivity of the ED ICD-10-CM codes was low for assault and intentional self-harm encounters at 18.2% (CI 16.5-19.9%) and 22.2% (CI 16-28.5%), respectively. This demonstrates a marked difference in the reliability of the intent coding in the two data sources. CONCLUSIONS: This study illustrates both the value of examining EMS encounters for firearm injury intent, and the challenges of accurate intent coding in the ED setting. EMS coding has the potential for more accurate intent coding than ED coding within the context of existing hospital-based coding guidance. This may have implications for future firearm injury research, especially for nonfatal firearm injuries.

Informing COVID-19 Response and Health Equity Agenda: Collection of Public Health Reports Articles on Emerging Viral Epidemics in the United States, 1878-2021.

OBJECTIVE: Public Health Reports (PHR) is the oldest public health journal in the United States and has reported on viral epidemics since the 19th century. We describe the creation and analysis of a collection of historic PHR articles on emerging viral epidemics in the United States to inform public health response to COVID-19 and future epidemics. METHODS: We searched databases from 1878 through 2021 using custom search strings and conducted a manual search for articles published under previously used names for PHR. We evaluated all articles based on inclusion/exclusion criteria and coded the final list for virus/disease, article type, public health emergency preparedness and response capabilities from the Centers for Disease Control and Prevention (CDC), and PubMed citation count. RESULTS: We identified 349 relevant articles including 130 commentaries/reviews/editorials, 79 epidemiologic reports, 75 research articles, and 65 case study/practice articles. The collection focused on influenza (n = 244), COVID-19 (n = 75), dengue (n = 14), and other emerging viruses, such as Zika and Ebola (n = 25). The collection included 48 articles on health disparities/health of various disadvantaged populations, highlighting such disparities as race and ethnicity (n = 22), socioeconomic status (n = 17), and age (n = 15). When we categorized articles by CDC public health emergency preparedness and response capabilities, we found that 207 addressed surveillance and epidemiologic investigation, 36 addressed community preparedness, and 28 addressed medical countermeasure dispensing and administration. The articles addressing surveillance and epidemiologic investigation, nonpharmaceutical interventions, and community preparedness had the most PubMed citations (799, 334, and 308, respectively). CONCLUSIONS: PHR's historic articles on US emerging viral epidemics covered a range of virus/disease types, emergency preparedness and response capabilities, and contribution types and were widely cited in the scholarly literature. This publicly available and continuously updated collection is a valuable resource for pandemic planning and response.

Pregnancy and Emergency Department Utilization in North Carolina, 2016-2021: A Population-Based Surveillance Study.

Introduction: Pregnancy-associated complaints are a common reason for emergency department visits for women of reproductive age. Emergency department utilization during pregnancy is associated with worse birth outcomes for both mothers and infants. We used statewide North Carolina emergency department surveillance data between 2016 and 2021 to describe the sociodemographic factors associated with the use of emergency department for pregnancy-associated problems and subsequent hospital admission. Methods: North Carolina Disease Event Tracking and Epidemiologic Collection Tool is a syndromic surveillance system that includes all emergency department encounters at civilian acute-care facilities in North Carolina. We analyzed all emergency department visits between January 1, 2016 and December 31, 2021 for female patients aged 15-44 years residing in North Carolina with at least 1 ICD-10-CM code (analysis occurred in July 2021-October 2022). Each emergency department visit was categorized as pregnancy-associated if assigned ICD-10-CM code(s) indicated pregnancy. We stratified visits by age, race, ethnicity, county of residence, and insurance and compared them with estimated pregnant population proportions using 1-sample t-tests. We used multivariable logistic regression to determine whether pregnancy-associated visits were more likely to be associated with hospital admission and then to determine sociodemographic predictors of admission among pregnancy-associated emergency department visits. Results: More than 6.4 million emergency department visits were included (N=6,471,197); 10.1% (n=655,476) were pregnancy-associated, significantly higher than the proportion of women estimated to be pregnant at any given time in North Carolina (4.6%, p<0.0001) and increased over time (8.6% in 2016 vs 11.1% in 2021, p<0.0001). Pregnancy-associated visits were lower than expected for ages 25-44 years and higher than expected for those aged 15-24 years, for those of Black race, and for patients residing in rural or suburban areas. The proportion admitted was higher for pregnancy-associated emergency department visits than for nonpregnancy associated (15.6% vs 7.0%, AOR=3.06 [95% CI=3.03, 3.09]). Pregnancy-associated emergency department visits for patients of Black race had 0.58 times (95% CI=0.57, 0.59) the odds of admission compared with White patients. Conclusions: Emergency department utilization during pregnancy is common. The proportion of pregnancy-associated emergency department visits among reproductive-age women is increasing, as are inpatient admissions from the emergency department for pregnancy-associated diagnoses. Use of public health surveillance databases such as the North Carolina Disease Event Tracking and Epidemiologic Collection Tool may help identify opportunities for improving disparities in maternal health care, especially related to access to care.

Using near real-time morbidity data to identify heat-related illness prevention strategies in North Carolina.

Timely public health interventions reduce heat-related illnesses (HRIs). HRI emergency department (ED) visit data provide near real-time morbidity information to local and state public health practitioners and may be useful in directing HRI prevention efforts. This study examined statewide HRI ED visits in North Carolina (NC) from 2008-2010 by age group, month, ED disposition, chief complaint, and triage notes. The mean number of HRI ED visits per day was compared to the maximum daily temperature. The percentage of HRI ED visits to all ED visits was highest in June (0.25%). 15-18 year-olds had the highest percentage of HRI visits and were often seen for sports-related heat exposures. Work-related HRI ED visits were more common than other causes in 19-45 year-olds. Individuals ≥65 years were more likely admitted to the hospital than younger individuals. The mean daily number of HRI ED visits increased by 1.4 for each 1°F (degree Fahrenheit) increase from 90°F to 98°F and by 15.8 for each 1°F increase from 98°F to 100°F. Results indicate that HRI prevention efforts in NC should be emphasized in early summer and targeted to adolescents involved in organized sports, young adults with outdoor occupations, and seniors. At a maximum daily temperature of 98°F, there was a substantial increase in the average daily number of HRI ED visits. ED visit data provide timely, sentinel HRI information. Analysis of this near real-time morbidity data may assist local and state public health practitioners in identification of HRI prevention strategies that are especially relevant to their jurisdictions.

Detecting disease outbreaks using local spatiotemporal methods.

A real-time surveillance method is developed with emphasis on rapid and accurate detection of emerging outbreaks. We develop a model with relatively weak assumptions regarding the latent processes generating the observed data, ensuring a robust prediction of the spatiotemporal incidence surface. Estimation occurs via a local linear fitting combined with day-of-week effects, where spatial smoothing is handled by a novel distance metric that adjusts for population density. Detection of emerging outbreaks is carried out via residual analysis. Both daily residuals and AR model-based detrended residuals are used for detecting abnormalities in the data given that either a large daily residual or an increasing temporal trend in the residuals signals a potential outbreak, with the threshold for statistical significance determined using a resampling approach.

A Mixed-Methods Comparison of a National and State Opioid Overdose Surveillance Definition.

OBJECTIVES: We assessed the differences between the first version of the Centers for Disease Control and Prevention (CDC) opioid surveillance definition for suspected nonfatal opioid overdoses (hereinafter, CDC definition) and the North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT) surveillance definition to determine whether the North Carolina definition should include additional International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes and/or chief complaint keywords. METHODS: Two independent reviewers retrospectively reviewed data on North Carolina emergency department (ED) visits generated by components of the CDC definition not included in the NC DETECT definition from January 1 through July 31, 2018. Clinical reviewers identified false positives as any ED visit in which available evidence supported an alternative explanation for patient presentation deemed more likely than an opioid overdose. After individual assessment, reviewers reconciled disagreements. RESULTS: We identified 2296 ED visits under the CDC definition that were not identified under the NC DETECT definition during the study period. False-positive rates ranged from 2.6% to 41.4% for codes and keywords uniquely identifying ≥10 ED visits. Based on uniquely identifying ≥10 ED visits and a false-positive rate ≤10.0%, 4 of 16 ICD-10-CM codes evaluated were identified for NC DETECT definition inclusion. Only 2 of 25 keywords evaluated, "OD" and "overdose," met inclusion criteria to be considered a meaningful addition to the NC DETECT definition. PRACTICE IMPLICATIONS: Quantitative and qualitative trends in coding and keyword use identified in this analysis may prove helpful for future evaluations of surveillance definitions.

Linking Emergency Medical Services and Emergency Department Data to Improve Overdose Surveillance in North Carolina.

INTRODUCTION: Linking emergency medical services (EMS) data to emergency department (ED) data enables assessing the continuum of care and evaluating patient outcomes. We developed novel methods to enhance linkage performance and analysis of EMS and ED data for opioid overdose surveillance in North Carolina. METHODS: We identified data on all EMS encounters in North Carolina during January 1-November 30, 2017, with documented naloxone administration and transportation to the ED. We linked these data with ED visit data in the North Carolina Disease Event Tracking and Epidemiologic Collection Tool. We manually reviewed a subset of data from 12 counties to create a gold standard that informed developing iterative linkage methods using demographic, time, and destination variables. We calculated the proportion of suspected opioid overdose EMS cases that received International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes for opioid overdose in the ED. RESULTS: We identified 12 088 EMS encounters of patients treated with naloxone and transported to the ED. The 12-county subset included 1781 linkage-eligible EMS encounters, with historical linkage of 65.4% (1165 of 1781) and 1.6% false linkages. Through iterative linkage methods, performance improved to 91.0% (1620 of 1781) with 0.1% false linkages. Among statewide EMS encounters with naloxone administration, the linkage improved from 47.1% to 91.1%. We found diagnosis codes for opioid overdose in the ED among 27.2% of statewide linked records. PRACTICE IMPLICATIONS: Through an iterative linkage approach, EMS-ED data linkage performance improved greatly while reducing the number of false linkages. Improved EMS-ED data linkage quality can enhance surveillance activities, inform emergency response practices, and improve quality of care through evaluating initial patient presentations, field interventions, and ultimate diagnoses.

North Carolina Emergency Department data: January 1, 2007-December 31, 2007.

BACKGROUND: The purpose of this paper is to describe patient characteristics and clinical conditions seen in North Carolina emergency departments (EDs) in 2007. METHODS: Data were analyzed from a static database of all 2007 ED visits in the North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT). Data were captured from 80% of North Carolina EDs on January 1, 2007 and 93% as of December 31, 2007. ED visits were analyzed by age, sex, method of ED arrival, return and repeat ED visits, expected source of payment, and ED disposition. Data were also analyzed by selected disease and injury groups that were thought by the authors to be of epidemiologic or demographic importance to North Carolina. RESULTS: The first and second leading ED visit diagnosis groups in North Carolina were abdominal pain and chest pain. The top three disease groups resulting in ED visits were chest pain/ischemic heart disease (17.9% of all ED visits), substance and alcohol abuse or withdrawal (11.2%), and diabetes (78%). Falls were the most common cause of injury-related ED visits in North Carolina, almost twice as common as motor vehicle crashes. LIMITATIONS: This study reports only on acute disorders resulting in ED visits. North Carolina legislation limits the types of data elements collected. All data depend on institutional coding practices. CONCLUSIONS: Emergency department data can provide valuable information on the proportions and rates of ED visits for illness and injury statewide and can help identify vulnerable populations in the state.

Cross Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Negation Detection Use Case.

This paper describes a continuing initiative of the International Society for Disease Surveillance designed to bring together public health practitioners and analytics solution developers from both academia and industry. Funded by the Defense Threat Reduction Agency, a series of consultancies have been conducted on a range of topics of pressing concern to public health (e.g. developing methods to enhance prediction of asthma exacerbation, developing tools for asyndromic surveillance from chief complaints). The topic of this final consultancy, conducted at the University of Utah in January 2017, is focused on defining a roadmap for the development of algorithms, tools, and datasets for improving the capabilities of text processing algorithms to identify negated terms (i.e. negation detection) in free-text chief complaints and triage reports.

Emergency Department Visits by Older Adults with Mental Illness in North Carolina.

INTRODUCTION: We analyzed emergency department (ED) visits by patients with mental health disorders (MHDs) in North Carolina from 2008-2010 to determine frequencies and characteristics of ED visits by older adults with MHDs. METHODS: We extracted ED visit data from the North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT). We defined mental health visits as visits with a mental health ICD-9-CM diagnostic code, and organized MHDs into clinically similar groups for analysis. RESULTS: Those ≥65 with MHDs accounted for 27.3% of all MHD ED visits, and 51.2% were admitted. The most common MHD diagnoses for this age group were psychosis, and stress/anxiety/depression. CONCLUSION: Older adults with MHDs account for over one-quarter of ED patients with MHDs, and their numbers will continue to increase as the "boomer" population ages. We must anticipate and prepare for the MHD-related needs of the elderly.

Cross-Disciplinary Consultancy to Bridge Public Health Technical Needs and Analytic Developers: Asyndromic Surveillance Use Case.

INTRODUCTION: We document a funded effort to bridge the gap between constrained scientific challenges of public health surveillance and methodologies from academia and industry. Component tasks are the collection of epidemiologists' use case problems, multidisciplinary consultancies to refine them, and dissemination of problem requirements and shareable datasets. We describe an initial use case and consultancy as a concrete example and challenge to developers. MATERIALS AND METHODS: Supported by the Defense Threat Reduction Agency Biosurveillance Ecosystem project, the International Society for Disease Surveillance formed an advisory group to select tractable use case problems and convene inter-disciplinary consultancies to translate analytic needs into well-defined problems and to promote development of applicable solution methods. The initial consultancy's focus was a problem originated by the North Carolina Department of Health and its NC DETECT surveillance system: Derive a method for detection of patient record clusters worthy of follow-up based on free-text chief complaints and without syndromic classification. RESULTS: Direct communication between public health problem owners and analytic developers was informative to both groups and constructive for the solution development process. The consultancy achieved refinement of the asyndromic detection challenge and of solution requirements. Participants summarized and evaluated solution approaches and discussed dissemination and collaboration strategies. PRACTICE IMPLICATIONS: A solution meeting the specification of the use case described above could improve human monitoring efficiency with expedited warning of events requiring follow-up, including otherwise overlooked events with no syndromic indicators. This approach can remove obstacles to collaboration with efficient, minimal data-sharing and without costly overhead.

Use of statewide emergency department surveillance data to assess incidence of animal bite injuries among humans in North Carolina.

OBJECTIVE--To determine incidence of animal bite injuries among humans in North Carolina by use of statewide emergency department visit data; to evaluate incidence rates on the basis of age, sex, urbanicity, biting species, and month for selected species; and to characterize bite-related emergency department visits. DESIGN--Retrospective cohort and cross-sectional study. SAMPLE--Records of 38,971 incident animal bite-related emergency department visits in North Carolina from 2008 to 2010. PROCEDURES--Emergency department visits were selected for inclusion by means of external-cause-of-injury codes assigned with an international coding system and keyword searches of chief complaint and triage notes. Rates were calculated with denominators obtained from census data. Cross-sectional analysis of incident emergency department visits was performed. RESULTS--By the age of 10, a child in North Carolina had a 1 in 50 risk of dog bite injury requiring an emergency department visit. Incidence rates for dog bites were highest for children ≤ 14 years of age, whereas the incidence rate for cat bites and scratches was highest among individuals > 79 years of age. Lifetime risk of cat bite or scratch injury requiring an emergency department visit was 1 in 60 for the population studied. Rabies postexposure prophylaxis was administered during 1,664 of 38,971 (4.3%) incident visits. CONCLUSIONS AND CLINICAL RELEVANCE--Emergency department visit surveillance data were used to monitor species-specific bite incidence statewide and in various subpopulations. Emergency department surveillance data may be particularly useful to public health veterinarians. Results may inform and renew interest in targeted animal bite prevention efforts.