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1.
MMWR Morb Mortal Wkly Rep ; 61(53): 1-121, 2014 Sep 19.
Article in English | MEDLINE | ID: mdl-25233134

ABSTRACT

The Summary of notifiable diseases--United States, 2012 contains the official statistics, in tabular and graphic form, for the reported occurrence of nationally notifiable infectious diseases in the United States for 2012. Unless otherwise noted, the data are final totals for 2012 reported as of June 30, 2013. These statistics are collected and compiled from reports sent by state health departments and territories to the National Notifiable Diseases Surveillance System (NNDSS), which is operated by CDC in collaboration with the Council of State and Territorial Epidemiologists (CSTE). The Summary is available at http://www.cdc.gov/mmwr/mmwr_nd/index.html. This site also includes Summary publications from previous years.


Subject(s)
Communicable Diseases/epidemiology , Population Surveillance , Humans , United States/epidemiology
2.
MMWR Morb Mortal Wkly Rep ; 60(53): 1-117, 2013 Jul 05.
Article in English | MEDLINE | ID: mdl-23820934

ABSTRACT

The Summary of Notifiable Diseases - United States, 2011 contains the official statistics, in tabular and graphic form, for the reported occurrence of nationally notifiable infectious diseases in the United States for 2011. Unless otherwise noted, the data are final totals for 2011 reported as of June 30, 2012. These statistics are collected and compiled from reports sent by state health departments and territories to the National Notifiable Diseases Surveillance System (NNDSS), which is operated by CDC in collaboration with the Council of State and Territorial Epidemiologists (CSTE).


Subject(s)
Communicable Diseases/epidemiology , Disease Notification/statistics & numerical data , Population Surveillance , Centers for Disease Control and Prevention, U.S. , Humans , Incidence , United States/epidemiology
3.
AMIA Annu Symp Proc ; : 857, 2007 Oct 11.
Article in English | MEDLINE | ID: mdl-18693959

ABSTRACT

Biosurveillance and disease surveillance systems serve different purposes. However, the richness and quality of an existing data stream and infrastructure used in biosurveillance may prove beneficial for any state-based electronic disease surveillance system, especially if an electronic laboratory data feed does not exist between a hospital and state-based system. The use of an Enterprise Application Integration(EAI) engine, such as the BioSense Integrator,will be necessary to map heterogeneous messages into standard representations, then validate and route them [1] to a disparate system. This poster illustrates the use of an existing BioSense Integrator in order to create a unified message to support the exchange of electronic lab messages necessary for reportable disease notification. An evaluation of the infrastructure for data messaging will be examined and presented, along with a cost and benefit analysis between hospital and state-based system.


Subject(s)
Computer Communication Networks/standards , Disease Outbreaks , Population Surveillance/methods , Humans
4.
AMIA Annu Symp Proc ; : 1122, 2007 Oct 11.
Article in English | MEDLINE | ID: mdl-18694219

ABSTRACT

One of the key functionalities in the Enterprise Application Integration (EAI) engines is a dashboard to provide awareness on the message traffic, performance and throughput. Current dashboards present a rich data set but often lacks context to interpret these data. This poster presents a knowledge driven approach in improving the dashboard by presenting contextualized information. The new dashboard will be evaluated by measuring user awareness, as measured by applying a quantitative analysis technique called SAGAT (Situational Awareness Global Assessment Technique) and the results will be presented.


Subject(s)
Public Health Informatics , User-Computer Interface , Population Surveillance
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