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BOH agenda 032316
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BOH agenda 032316
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4/24/2018 12:10:54 PM
Creation date
4/24/2018 12:07:23 PM
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BOCC
Date
3/23/2016
Meeting Type
Regular Meeting
Document Type
Agenda
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<br />64 <br /> <br />more frequently. <br />Drawbacks: Because of the smaller ACS sample sizes, users must pay special attention to standard <br />errors, as they can be particularly large. In addition, when using data that represent multiyear averages, <br />users are advised to not compare overlapping years (e.g., 2005–2009 data should not be compared to <br />2006–2010 data). <br />Additional Information: The Census Bureau has created a useful guide for ACS data <br />(http://www.census.gov/acs/www/Downloads/handbooks/ACSResearch.pdf). <br />Data Availability: Data can be downloaded for specific geographies using FactFinder <br />(http://factfinder2.census.gov/), or flat files can be downloaded for multiple areas <br />(http://www.census.gov/acs/www/data_documentation/data_via_ftp/) <br />North Carolina Disease Event Tracking and Epidemiologic Collection <br />Tool <br />NC DETECT is North Carolina's statewide syndromic surveillance system. NC DETECT was created by <br />the North Carolina Division of Public Health (NC DPH) in 2004 in collaboration with the Carolina Center <br />for Health Informatics (CCHI) in the UNC Department of Emergency Medicine to address the need for <br />early event detection and timely public health surveillance in North Carolina using a variety of secondary <br />data sources. Authorized users are currently able to view data from emergency departments, <br />the Carolinas Poison Center, and the Pre-hospital Medical Information System (PreMIS), as well as pilot <br />data from select urgent care centers. <br />NC DETECT is designed, developed and maintained by CCHI staff with funding by the NC DPH. New <br />functionality is added regularly based on end user feedback. <br />Please send questions to ncdetect@listserv.med.unc.edu. <br /> Frequency: Real-time, monthly, and annual reports. <br />Geographies: By hospital, County, and in some cases Zipcode <br />Variables: Number of visits, age, sex, payer type, ICD diagnosis codes, keywords. <br />Strengths: Rich data set for developing aggregate measures and real-time nature of data is informative <br />for situational awareness and emergency response. <br />Drawbacks: Because different fields and agencies may define indicators or conditions differently, it can <br />be difficult to establish standard case definitions for syndromes. <br />Data Availability: Data and reports can be found at http://www.ncdetect.org/ <br /> <br /> <br />If you have any questions or comments regarding the methodology and/or data contained in these <br />dashboards, please contact Allison Young, Health Informatics Manager, at <br />ayoung@orangecountync.gov.
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