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  • Content Type: Success Stories

    Extreme heat events caused by high environmental temperatures are considered a major cause of weather-related deaths and injury in the United States. These events can result in a spectrum of conditions known as heat-related illnesses (HRIs), which… read more
    … 2016 HRI syndrome query guidance document: http://c.ymcdn.com/sites/www.cste.org/resource/resmgr/pdfs/pdfs2/CSTE_H… . … What You Can Do to Prepare. 2016; Available from https:// www.cdc.gov/climateandhealth/pubs/extreme-heat-guidebook.pdf …
  • 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

    Influenza is a significant public health problems in the US leading to over one million hospitalizations in the elderly population (age 65 and over) annually. While influenza preparedness is an important public health issue, previous… read more
    … for susceptible populations. REFERENCES 1Thompson WW, Shay DK, Weintraub E, Brammer L, Bridges CB, Cox NJ, Fukada K. Influenza-associated hospitalizations in …
  • Content Type: Abstract

    Early and reliable detection of anomalies is a critical challenge in disease surveillance. Most surveillance systems collect data from multiple data streams but the majority of monitoring is performed at univariate time series… read more
    … METHOD At a high level our anomaly detection approach con- sists of: 1) Learning the model of normalcy; 2) De- … in Kernel Methods: Support Vector Learning”, MIT Press, Cam- bridge, MA, 1999. [3] Burkom H., Elbert Y., Magruder …
  • Content Type: Webinar

    The National Syndromic Surveillance Program (NSSP) is conducting a three-part webinar series to describe how data will flow to the BioSense Platform. This comprehensive series explores how data are ingested into the BioSense Platform and ESSENCE… read more
    … (232-4636)/TTY: 1-888-232-6348 Visit: hQp://www.cdc.gov | Contact CDC at: 1-800-CDC-INFO or hQp://www.cdc.gov/info The findings and conclusions in this report …
  • Content Type: Abstract

    The spatial scan statistic is the usual measure of strength of a cluster [1]. Another important measure is its geometric regularity [2]. A genetic multiobjective algorithm was developed elsewhere to identify irregularly shaped clusters [3]. A search… read more
    … shaped clusters. We define the circular occupation (CO) of a cluster candidate roughly as its population divided … population inside the smallest circle containing it. The CO concept, computationally faster and relying on familiar … [1] Kulldorff M, 1997. A Spatial Scan Statistic, Comm. Statist. Theory Meth., 26(6), 1481-1496. [2] Duczmal …
  • Content Type: Case Study

    Kyasannur Forest Disease (KFD) is a tick borne viral disease first reported in Shimoga district of Karnataka, India. On January 6th 2015, the disease has spread to neighbouring state, Kerala and a forest guard from Sulthan Bathery, Wayanad who had… read more
    … of various departments include the following 1. COHEART ( www.coheart.ac.in ) developed Conceptual framework and in …
  • Content Type: Abstract

    BioSense is a CDC initiative to promote situational awareness through summarizing, analyzing, and presenting health related event information. Among the data sources collected and analyzed through the BioSense application are the Department of… read more
    … Walker1, MPH, John F. Quinn III4, BS, Kenneth L. Cox5, Col, USAF, MC, SFS 1BioIntelligence Center, Centers for …