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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 ...
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]
The following is a partial list of the "E" codes for Medical Subject Headings (MeSH), as defined by the United States National Library of Medicine (NLM).. This list continues the information at the List of MeSH codes (E04).
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.
Sentinel cells refer to cells in the body's first line of defense, which embed themselves in tissues such as skin. [1] Sentinel cells represent diverse array of cell types with the capability to monitor the presence of exogenous or potentially harmful particles and play a crucial role in recognizing and sampling signs of infection or abnormal cellular activity and/or death.
A disease cluster is an unusually large aggregation of a relatively uncommon disease (medical condition) or event within a particular geographical location or period. [1] ...
There are many extensions to the STROBE Statement which cover a variety of different topic domains such as nutritional epidemiology, [5] [6] [7] genetic association studies, [8] rheumatology, [9] [10] molecular epidemiology, [11] infectious disease molecular epidemiology, [12] respondent-driven sampling, [13] routinely collected health data [14] [15] (e.g., health administrative data ...
The science of epidemiology has had enormous growth, particularly with charity and government funding. Many researchers have been trained to conduct studies, requiring multiple skills ranging from liaising with clinical staff to the statistical analysis of complex data, such as using Bayesian methods.