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.

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.

Peat bog wildfire smoke exposure in rural North Carolina is associated with cardiopulmonary emergency department visits assessed through syndromic surveillance.

BACKGROUND: In June 2008, burning peat deposits produced haze and air pollution far in excess of National Ambient Air Quality Standards, encroaching on rural communities of eastern North Carolina. Although the association of mortality and morbidity with exposure to urban air pollution is well established, the health effects associated with exposure to wildfire emissions are less well understood. OBJECTIVE: We investigated the effects of exposure on cardiorespiratory outcomes in the population affected by the fire. METHODS: We performed a population-based study using emergency department (ED) visits reported through the syndromic surveillance program NC DETECT (North Carolina Disease Event Tracking and Epidemiologic Collection Tool). We used aerosol optical depth measured by a satellite to determine a high-exposure window and distinguish counties most impacted by the dense smoke plume from surrounding referent counties. Poisson log-linear regression with a 5-day distributed lag was used to estimate changes in the cumulative relative risk (RR). RESULTS: In the exposed counties, significant increases in cumulative RR for asthma [1.65 (95% confidence interval, 1.25-2.1)], chronic obstructive pulmonary disease [1.73 (1.06-2.83)], and pneumonia and acute bronchitis [1.59 (1.07-2.34)] were observed. ED visits associated with cardiopulmonary symptoms [1.23 (1.06-1.43)] and heart failure [1.37 (1.01-1.85)] were also significantly increased. CONCLUSIONS: Satellite data and syndromic surveillance were combined to assess the health impacts of wildfire smoke in rural counties with sparse air-quality monitoring. This is the first study to demonstrate both respiratory and cardiac effects after brief exposure to peat wildfire smoke.