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Syndromic surveillance is the analysis of medical data to detect or anticipate disease outbreaks. According to a CDC definition, "the term 'syndromic surveillance' applies to surveillance using health-related data that precede diagnosis and signal a sufficient probability of a case or an outbreak to warrant further public health response.
Real-time outbreak and disease surveillance system (RODS) is a syndromic surveillance system developed by the University of Pittsburgh, Department of Biomedical Informatics. [1]
Disease surveillance is an epidemiological practice by which the spread of disease is monitored in order to establish patterns of progression. The main role of disease surveillance is to predict, observe, and minimize the harm caused by outbreak, epidemic, and pandemic situations, as well as increase knowledge about which factors contribute to such circumstances.
The Division of Health Informatics and Surveillance (DHIS) provides leadership and expertise in data, surveillance, and analytics for the CDC and partners with state-of-the-art information systems, capacity building services, and high-quality data to guide public health decisions and actions. These include in case surveillance; syndromic ...
Infoveillance is a type of syndromic surveillance that specifically utilizes information found online. [1] The term, along with the term infodemiology, was coined by Gunther Eysenbach to describe research that uses online information to gather information about human behavior. [2] [3] [4]
The system uses reports from local hospitals to conduct syndromic surveillance and identify trends in disease. The system began development in 2003. [1] Its intended purpose was as an integrated nationwide health surveillance system to catch disease outbreaks and bioterrorism events such as the anthrax scare were key motivations for its ...
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A sentinel surveillance system is used to obtain data about a particular disease that cannot be obtained through a passive system such as summarizing standard public health reports. Data collected in a well-designed sentinel system can be used to signal trends, identify outbreaks and monitor disease burden, providing a rapid, economical ...