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Displaying results 1 - 4 of 4
  • Content Type: Abstract

    We have previously shown that timeliness of detection is influenced both by the data source (e.g., ambulatory vs. emergency department) and demographic characteristics of patient populations (e.g., age). Because epidemic waves are thought to… read more
    … may affect disease susceptibility and hence timing of visits. Here, we describe spatial models of local … may affect disease susceptibility and hence timing of visits. Here, we describe spatial models of local … referral bias by including the likelihood of a hospital visit based on the market share of a zip code. The model …
  • Content Type: Abstract

    Bordetella Pertussis outbreaks cause morbidity in all age groups, but the infection is most dangerous for young infants. Pertussis is difficult to diagnose, especially in its early stages, and definitive test results are not… read more
    … and negative predictive value (PPV, NPV), and area un- der the ROC curve (AROC)). RESULTS Cyanosis, cough for …
  • Content Type: Abstract

    While traditional means of surveillance by governments, multi-national agencies, and institutional networks assist in reporting and confirming infectious disease outbreaks, these formal sources of information are limited by their… read more
    … to only 24 released by WHO and 623 found on the ProMED mail system. News sources are shown to be especially …
  • Content Type: Abstract

    The performance of even the most advanced syndromic surveillance systems can be undermined if the monitored data is delayed before it arrives into the system.  In such cases, an outbreak may be detected only after it is too late for appropriate… read more
    … 2005. These models predict the percentage of total visits from a given date that will be available to the …