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Computational epidemiology is a multidisciplinary field that uses techniques from computer science, mathematics, geographic information science and public health to better understand issues central to epidemiology such as the spread of diseases or the effectiveness of a public health intervention.
This course provides basic knowledge of intervention epidemiology, including outbreak investigation, surveillance and applied research. Following the introductory course, fellows spend 23 months at a training site in an EU member state , Norway , Switzerland , the WHO or at the European Centre for Disease Prevention and Control (ECDC).
A common explanation for the growth of epidemics holds that 1 person infects 2, those 2 infect 4 and so on and so on with the number of infected doubling every generation. It is analogous to a game of tag where 1 person tags 2, those 2 tag 4 others who've never been tagged and so on. As this game progresses it becomes increasing frenetic as the ...
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]
Global Infectious Diseases and Epidemiology Online Network (GIDEON) is a web-based program for decision support and informatics in the fields of Infectious Diseases and Geographic Medicine. [1] Due to the advancement of both disease research and digital media, print media can no longer follow the dynamics of outbreaks and epidemics as they ...
The first version, Epi Info 1, was originally developed by Jeff Dean while he was in high school. [ 3 ] [ 4 ] It was an MS-DOS batch file on 5.25" floppy disks and released in 1985. [ 5 ] MS-DOS continued to be the only supported operating system until the release of Epi Info 2000, which was written in Microsoft's Visual Basic and became the ...
Kenneth J. Rothman (born November 2, 1945) [1] is an American epidemiologist. He is a professor of epidemiology at the Boston University School of Public Health, as well as a Distinguished Fellow at RTI International, where he is Vice President for Epidemiologic Research at RTI Health Solutions.
This epidemic curve shows a presumed first case, known as the index case on November 6, 1978. 4 days later, there was a steep increase in cases, followed by the curve tapering down to zero. Some cases were food handlers, and some secondary cases. It showed that this is probably a common source outbreak.