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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.
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.
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 ...
The World Health Organization (WHO) recommends active surveillance, with focus of case finding, testing and contact tracing in all transmission scenarios. [1] COVID-19 surveillance is expected to monitor epidemiological trends, rapidly detect new cases, and based on this information, provide epidemiological information to conduct risk ...
The Center for Surveillance, Epidemiology and Laboratory Services (CSELS) is a branch of the US Centers for Disease Control and Prevention (CDC) that provides scientific service, expertise, skills, and tools in support of national efforts to promote health; prevent disease, injury and disability; and prepare for emerging health threats. [1]
Surveillance traditionally involved significant manual data assessment and entry in order to assess preventative actions such as isolation of patients with an infectious disease. Increasingly, computerized software solutions are becoming available that assess incoming risk messages from microbiology and other online sources.
Essence is an abbreviation/acronym for the United States Department of Defense's Electronic Surveillance System for the Early Notification of Community-based Epidemics. Essence's goal is to monitor health data as it becomes available and discover epidemics and similar health concerns before they get out of control. [1]
Epidemiological (and other observational) studies typically highlight associations between exposures and outcomes, rather than causation. While some consider this a limitation of observational research, epidemiological models of causation (e.g. Bradford Hill criteria) [7] contend that an entire body of evidence is needed before determining if an association is truly causal. [8]