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 Following the development of an introductory Continuing Education (CME) course in syndromic surveillance, the Education and Training Committee of the International Society for Disease Surveillance recognized the need to educate future non-medical public health workers and reviewed courses... Read more

Content type: Abstract

This paper presents an investigation using data mining techniques to model patterns of influenza from positive case demographics, symptoms and laboratory tests.

Content type: Abstract

The Joint Incentive Fund (JIF) Authorization creates innovative DoD/VA sharing initiatives. In 2009, DoD and VA commenced a biosurveillance JIF project whose principle objectives include improved situational awareness of combined VA/ DoD populations 1 and determining the optimal business model... Read more

Content type: Abstract

One of the standard approaches to public health surveillance for influenza is to monitor the percent of visits to about 2000 sentinel physicians for influenza-like illness (%ILI; fever plus cough or sore throat). The BioSense System currently receives (among other data) ICD-9 discharge diagnoses... Read more

Content type: Abstract

As of October 1, 2015, all HIPAA covered entities transition from the use of International Classification of Diseases version 9 (ICD-9-CM) to version 10 (ICD-10-CM/PCS). Many Public Health surveillance entities receive, interpret, analyze, and report ICD-9 encoded data, which will all be... Read more

Content type: Abstract

The impetus for the development of many first syndromic surveillance systems was the hope of detecting infectious disease outbreaks earlier than with traditional surveillance. Various data sources have been suggested as potential disease indicators. Researchers have analyzed many of these, ... Read more

Content type: Abstract

On October 1, 2015, the number of ICD codes will expand from 14,000 in version 9 to 68,000 in version 10. The new code set will increase the specificity of reporting, allowing more information to be conveyed in a single code. It is anticipated that the conversion will have a significant impact... Read more

Content type: Abstract

The Johns Hopkins Applied Physics Laboratory and the Armed Forces Health Surveillance Center have developed a hybrid processing engine that alerts monitors when a severe health condition exists based on corroboration among several sources of data. The system was designed to ingest a day's worth... Read more

Content type: Abstract

Since the largest epidemic of Zaire ebolavirus (EBOV) in recorded history began in Guinea in December 2013, the epidemic has spread to neighboring countries of Liberia and Sierra Leone resulting in an estimation of over 27,000 total cases and over 11,000 deaths to date. In response to the... Read more

Content type: Abstract

Developing countries bear the highest burden of infectious diseases, and therefore play a key role in the detection of emerging disease threats. The ability of these countries to detect such events allows an adequate response preventing its spread and reducing the morbidity and mortality of... Read more

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This Knowledge Repository is made possible through the activities of the Centers for Disease Control and Prevention Cooperative Agreement/Grant #1 NU500E000098-01, National Surveillance Program Community of Practice (NSSP-CoP): Strengthening Health Surveillance Capabilities Nationwide, which is in the interest of public health.

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