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Displaying results 1 - 7 of 7
  • Content Type: Abstract

    Identifying potential biases and confounders that may affect data quality is an important consideration when evaluating surveillance systems. Having the benefit of predictable temporal trends is a key requirement to improve upon… read more
    … Further Information: Loren Shaffer, loren.shaffer@hmsinc.com www.hmsinc.com Advances in Disease Surveillance 2007;4:264 …
  • Content Type: Abstract

    Bio-surveillance systems monitor multiple data streams (over-the-counter (OTC) sales, Emergency Department visits, etc.) to detect both natural disease outbreaks (e.g. influenza) and bio-terrorist attacks (e.g. anthrax re-lease). Many detection… read more
    … impressive results under simulated environments, but the com- plex behavior of real-world data and high costs asso- … can access alerts online on the SSS website, add and view com- ments on each alert, and select which alerts they want … Maheshkumar R. Sabhnani, sabhnani+@cs.cmu.edu www.autonlab.org Advances in Disease Surveillance 2006;1:62 …
  • Content Type: Abstract

    Current methods for influenza surveillance include laboratory confirmed case reporting, sentinel physician reporting of Influenza-Like-Illness (ILI) and chief-complaint monitoring from emergency departments (EDs). The current… read more
    … Tsui et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 95 Conclusions We demonstrate utility … area [online] 2009 cited. Available from: http://kdka.com/health/H1N1.flu.deaths. 2.1321133.html. Automated … Health Threats Journal F-C Tsui et al. 2011, 4:s117 www.eht-journal.org page 2/2 96 …
  • Content Type: Abstract

    Influenza is an important public health problem associated with considerable morbidity and mortality. A disease traditionally monitored via legally mandated reporting, researchers have identified alternative data sources for… read more
    … period as 1st June – 31st December, a period the health com- munity typically uses for Western Australia. We de- …
  • Content Type: Abstract

    Most, if not all, disease surveillance systems are federated in the sense that hospitals, doctors’ offices, pharmacies are the source of most surveillance data. Although a health department may request or mandate that these… read more
    … N Um et al.; licensee Emerging Health Threats Journal. www.eht-journal.org 6060 the mean of the BP. We also … Emerging Health Threats Journal N Um et al. 2011, 4:s55 www.eht-journal.org page 2/2 6161 …
  • Content Type: Abstract

    Animals continue to be recognized as a potential source of surveillance data for detecting emerging infectious diseases, bioterrorism preparedness, pandemic influenza preparedness, and detection of other zoonotic diseases. Detection of disease… read more
    … and other data populate data repositories at the IDEXX cor- porate office at the time of record creation. Other … (Centers for Disease Control and Prevention, http://www.cdc.gov/epi- info/). We determined the frequency of … seasonal change (34), Ŷt = α + βtt + βs sin(2πt/52) + βc cos(2π t/52), [2] where a is the intercept value, βt is the …
  • Content Type: Abstract

    Many cities in the US and the Center for Disease Control and Prevention have deployed biosurveillance systems to monitor regional health status. Biosurveillance systems rely on algorithms that analyze data in temporal domain… read more
    … Many cities in the US and the Center for Disease Con- trol and Prevention (CDC) have deployed biosurveil- … a “hot” zip code with elevated sales. The 5 ellipses con- tain hot zip codes in red, orange, yellow, blue, and …