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Summary of data reported to CDC's national automated biosurveillance system, 2008

BACKGROUND: BioSense is the US national automated biosurveillance system. Data regarding chief complaints and diagnoses are automatically pre-processed into 11 broader syndromes (e.g., respiratory) and 78 narrower sub-syndromes (e.g., asthma). The objectives of this report are to present the types o...

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Autores principales: Tokars, Jerome I, English, Roseanne, McMurray, Paul, Rhodes, Barry
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2890598/
https://www.ncbi.nlm.nih.gov/pubmed/20500863
http://dx.doi.org/10.1186/1472-6947-10-30
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author Tokars, Jerome I
English, Roseanne
McMurray, Paul
Rhodes, Barry
author_facet Tokars, Jerome I
English, Roseanne
McMurray, Paul
Rhodes, Barry
author_sort Tokars, Jerome I
collection PubMed
description BACKGROUND: BioSense is the US national automated biosurveillance system. Data regarding chief complaints and diagnoses are automatically pre-processed into 11 broader syndromes (e.g., respiratory) and 78 narrower sub-syndromes (e.g., asthma). The objectives of this report are to present the types of illness and injury that can be studied using these data and the frequency of visits for the syndromes and sub-syndromes in the various data types; this information will facilitate use of the system and comparison with other systems. METHODS: For each major data source, we summarized information on the facilities, timeliness, patient demographics, and rates of visits for each syndrome and sub-syndrome. RESULTS: In 2008, the primary data sources were the 333 US Department of Defense, 770 US Veterans Affairs, and 532 civilian hospital emergency department facilities. Median times from patient visit to record receipt at CDC were 2.2 days, 2.0 days, and 4 hours for these sources respectively. Among sub-syndromes, we summarize mean 2008 visit rates in 45 infectious disease categories, 11 injury categories, 7 chronic disease categories, and 15 other categories. CONCLUSIONS: We present a systematic summary of data that is automatically available to public health departments for monitoring and responding to emergencies.
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spelling pubmed-28905982010-06-24 Summary of data reported to CDC's national automated biosurveillance system, 2008 Tokars, Jerome I English, Roseanne McMurray, Paul Rhodes, Barry BMC Med Inform Decis Mak Research Article BACKGROUND: BioSense is the US national automated biosurveillance system. Data regarding chief complaints and diagnoses are automatically pre-processed into 11 broader syndromes (e.g., respiratory) and 78 narrower sub-syndromes (e.g., asthma). The objectives of this report are to present the types of illness and injury that can be studied using these data and the frequency of visits for the syndromes and sub-syndromes in the various data types; this information will facilitate use of the system and comparison with other systems. METHODS: For each major data source, we summarized information on the facilities, timeliness, patient demographics, and rates of visits for each syndrome and sub-syndrome. RESULTS: In 2008, the primary data sources were the 333 US Department of Defense, 770 US Veterans Affairs, and 532 civilian hospital emergency department facilities. Median times from patient visit to record receipt at CDC were 2.2 days, 2.0 days, and 4 hours for these sources respectively. Among sub-syndromes, we summarize mean 2008 visit rates in 45 infectious disease categories, 11 injury categories, 7 chronic disease categories, and 15 other categories. CONCLUSIONS: We present a systematic summary of data that is automatically available to public health departments for monitoring and responding to emergencies. BioMed Central 2010-05-25 /pmc/articles/PMC2890598/ /pubmed/20500863 http://dx.doi.org/10.1186/1472-6947-10-30 Text en Copyright ©2010 Tokars et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Tokars, Jerome I
English, Roseanne
McMurray, Paul
Rhodes, Barry
Summary of data reported to CDC's national automated biosurveillance system, 2008
title Summary of data reported to CDC's national automated biosurveillance system, 2008
title_full Summary of data reported to CDC's national automated biosurveillance system, 2008
title_fullStr Summary of data reported to CDC's national automated biosurveillance system, 2008
title_full_unstemmed Summary of data reported to CDC's national automated biosurveillance system, 2008
title_short Summary of data reported to CDC's national automated biosurveillance system, 2008
title_sort summary of data reported to cdc's national automated biosurveillance system, 2008
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2890598/
https://www.ncbi.nlm.nih.gov/pubmed/20500863
http://dx.doi.org/10.1186/1472-6947-10-30
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