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Abstract
Grant Number: 5R01LM007677-04 Project Title: Disease Surveillance in Real Time: Geotemporal Methods
PI Information: Name Title MANDL, KENNETH D. kenneth_mandl@harvard.edu ASSISTANT PROFESSOR Abstract: DESCRIPTION (provided by applicant):Real time data collection and analysis would substantially strengthen public health surveillance at both regional and national levels. Although symptom and diagnostic data are stored in administrative health care databases, there currently are no automated systems for integrating this data so that abnormal patterns of disease can be detected in a timely manner, a problem highlighted by recent bioterrorist attacks. We aim to address this by working with an existing and rapidly expanding data acquisition infrastructure to develop the analytic tools needed to recognize disease clusters as soon as possible once patients begin appearing at health care sites. We have already established a surveillance network by virtually integrating multiple hospital emergency department (ED) databases in real time. This provides a picture of regional population patterns of disease. Furthermore, at one of these hospitals, we have assembled retrospective databases with many years of historical data critical for establishing normality for the analytic models. Thus, the goal of this project is to strengthen surveillance systems by using readily available information in realtime, thereby increasing the power of these systems to detect disease outbreaks sooner. Because of the urgent need to quickly identify victims of biowarfare agents such as anthrax, we will concentrate on identifying clusters of patients presenting with respiratory syndromes. The proposed study will first establish normal patterns of disease and then build models that enable the detection of deviations from these patterns with a minimum of false alarms. Once these methods are established, they can be applied to any other meaningful set of syndromes.
Public Health Relevance:
This Public Health Relevance is not available.Thesaurus Terms:
automated data processing, computer system design /evaluation, data collection methodology /evaluation, disease outbreak, information system, statistics /biometry, time resolved data
Internet, analytical method, bioterrorism /chemical warfare, diagnosis quality /standard, geographic site, health care policy, health care service planning, mathematical model, model design /development, public health, regional medical planning, respiratory disorder
clinical research, human data
Institution: CHILDREN'S HOSPITAL BOSTON 300 LONGWOOD AVE BOSTON, MA 021155737 Fiscal Year: 2006 Department: Project Start: 01-JUL-2003 Project End: 30-JUN-2010 ICD: NATIONAL LIBRARY OF MEDICINE IRG: ZLM1