Effective detection of the 2009 H1N1 influenza pandemic in U.S. Veterans Affairs medical centers using a national electronic biosurveillance system
The 2008-09 influenza season was the time in which the Department of Veterans Affairs (VA) utilized an electronic biosurveillance system for tracking and monitoring of influenza trends. The system, known as ESSENCE or Electronic Surveillance System for the Early Notification of Community-based Epide...
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description | The 2008-09 influenza season was the time in which the Department of Veterans Affairs (VA) utilized an electronic biosurveillance system for tracking and monitoring of influenza trends. The system, known as ESSENCE or Electronic Surveillance System for the Early Notification of Community-based Epidemics, was monitored for the influenza season as well as for a rise in influenza cases at the start of the H1N1 2009 influenza pandemic. We also describe trends noted in influenza-like illness (ILI) outpatient encounter data in VA medical centers during the 2008-09 influenza season, before and after the recognition of pandemic H1N1 2009 influenza virus.
We determined prevalence of ILI coded visits using VA's ESSENCE for 2008-09 seasonal influenza (Sept. 28, 2008-April 25, 2009 corresponding to CDC 2008-2009 flu season weeks 40-16) and the early period of pandemic H1N1 2009 (April 26, 2009-July 31, 2009 corresponding to CDC 2008-2009 flu season weeks 17-30). Differences in diagnostic ICD-9-CM code frequencies were analyzed using Chi-square and odds ratios. There were 649,574 ILI encounters captured representing 633,893 patients. The prevalence of VA ILI visits mirrored the CDC's Outpatient ILI Surveillance Network (ILINet) data with peaks in late December, early February, and late April/early May, mirroring the ILINet data; however, the peaks seen in the VA were smaller. Of 31 ILI codes, 6 decreased and 11 increased significantly during the early period of pandemic H1N1 2009. The ILI codes that significantly increased were more likely to be symptom codes. Although influenza with respiratory manifestation (487.1) was the most common code used among 150 confirmed pandemic H1N1 2009 cases, overall it significantly decreased since the start of the pandemic.
VA ESSENCE effectively detected and tracked changing ILI trends during pandemic H1N1 2009 and represents an important temporal alerting system for monitoring health events in VA facilities. |
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We determined prevalence of ILI coded visits using VA's ESSENCE for 2008-09 seasonal influenza (Sept. 28, 2008-April 25, 2009 corresponding to CDC 2008-2009 flu season weeks 40-16) and the early period of pandemic H1N1 2009 (April 26, 2009-July 31, 2009 corresponding to CDC 2008-2009 flu season weeks 17-30). Differences in diagnostic ICD-9-CM code frequencies were analyzed using Chi-square and odds ratios. There were 649,574 ILI encounters captured representing 633,893 patients. The prevalence of VA ILI visits mirrored the CDC's Outpatient ILI Surveillance Network (ILINet) data with peaks in late December, early February, and late April/early May, mirroring the ILINet data; however, the peaks seen in the VA were smaller. Of 31 ILI codes, 6 decreased and 11 increased significantly during the early period of pandemic H1N1 2009. The ILI codes that significantly increased were more likely to be symptom codes. Although influenza with respiratory manifestation (487.1) was the most common code used among 150 confirmed pandemic H1N1 2009 cases, overall it significantly decreased since the start of the pandemic.
VA ESSENCE effectively detected and tracked changing ILI trends during pandemic H1N1 2009 and represents an important temporal alerting system for monitoring health events in VA facilities.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0009533</identifier><identifier>PMID: 20209055</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Algorithms ; Analysis ; Biosecurity ; Biosurveillance - methods ; Classification ; Codes ; Diagnosis-Related Groups ; Diagnostic systems ; Disease prevention ; Emergency medical care ; Epidemics ; Female ; Government agencies ; Health care facilities ; Health informatics ; Humans ; Illnesses ; Infectious Diseases ; Infectious Diseases/Epidemiology and Control of Infectious Diseases ; Infectious Diseases/Respiratory Infections ; Infectious Diseases/Viral Infections ; Influenza ; Influenza A Virus, H1N1 Subtype - genetics ; Influenza, Human - epidemiology ; Influenza, Human - virology ; Male ; Medical centers ; Medical laboratories ; Medicine ; Natural language processing ; Odds Ratio ; Pandemics ; Population Surveillance ; Privacy ; Public health ; Public Health and Epidemiology ; Public Health and Epidemiology/Infectious Diseases ; Quality management ; Respiratory Medicine/Respiratory Infections ; Seasons ; Surveillance ; Swine flu ; Swine influenza ; Tracking ; Trends ; United States - epidemiology ; United States Department of Veterans Affairs ; Veterans ; Veterans hospitals ; Viruses</subject><ispartof>PloS one, 2010-03, Vol.5 (3), p.e9533-e9533</ispartof><rights>COPYRIGHT 2010 Public Library of Science</rights><rights>2010. This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c691t-3e6d53a7ae63c9bf2364b1f3502cb33bf93b7a69baf00b11ff0b8a43285abb533</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2832014/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC2832014/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,2915,23847,27905,27906,53772,53774,79349,79350</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20209055$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Zaas, Aimee K.</contributor><creatorcontrib>Schirmer, Patricia</creatorcontrib><creatorcontrib>Lucero, Cynthia</creatorcontrib><creatorcontrib>Oda, Gina</creatorcontrib><creatorcontrib>Lopez, Jessica</creatorcontrib><creatorcontrib>Holodniy, Mark</creatorcontrib><title>Effective detection of the 2009 H1N1 influenza pandemic in U.S. Veterans Affairs medical centers using a national electronic biosurveillance system</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The 2008-09 influenza season was the time in which the Department of Veterans Affairs (VA) utilized an electronic biosurveillance system for tracking and monitoring of influenza trends. The system, known as ESSENCE or Electronic Surveillance System for the Early Notification of Community-based Epidemics, was monitored for the influenza season as well as for a rise in influenza cases at the start of the H1N1 2009 influenza pandemic. We also describe trends noted in influenza-like illness (ILI) outpatient encounter data in VA medical centers during the 2008-09 influenza season, before and after the recognition of pandemic H1N1 2009 influenza virus.
We determined prevalence of ILI coded visits using VA's ESSENCE for 2008-09 seasonal influenza (Sept. 28, 2008-April 25, 2009 corresponding to CDC 2008-2009 flu season weeks 40-16) and the early period of pandemic H1N1 2009 (April 26, 2009-July 31, 2009 corresponding to CDC 2008-2009 flu season weeks 17-30). Differences in diagnostic ICD-9-CM code frequencies were analyzed using Chi-square and odds ratios. There were 649,574 ILI encounters captured representing 633,893 patients. The prevalence of VA ILI visits mirrored the CDC's Outpatient ILI Surveillance Network (ILINet) data with peaks in late December, early February, and late April/early May, mirroring the ILINet data; however, the peaks seen in the VA were smaller. Of 31 ILI codes, 6 decreased and 11 increased significantly during the early period of pandemic H1N1 2009. The ILI codes that significantly increased were more likely to be symptom codes. Although influenza with respiratory manifestation (487.1) was the most common code used among 150 confirmed pandemic H1N1 2009 cases, overall it significantly decreased since the start of the pandemic.
VA ESSENCE effectively detected and tracked changing ILI trends during pandemic H1N1 2009 and represents an important temporal alerting system for monitoring health events in VA facilities.</description><subject>Algorithms</subject><subject>Analysis</subject><subject>Biosecurity</subject><subject>Biosurveillance - methods</subject><subject>Classification</subject><subject>Codes</subject><subject>Diagnosis-Related Groups</subject><subject>Diagnostic systems</subject><subject>Disease prevention</subject><subject>Emergency medical care</subject><subject>Epidemics</subject><subject>Female</subject><subject>Government agencies</subject><subject>Health care facilities</subject><subject>Health informatics</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Infectious Diseases</subject><subject>Infectious Diseases/Epidemiology and Control of Infectious Diseases</subject><subject>Infectious Diseases/Respiratory Infections</subject><subject>Infectious Diseases/Viral Infections</subject><subject>Influenza</subject><subject>Influenza A Virus, H1N1 Subtype - genetics</subject><subject>Influenza, Human - epidemiology</subject><subject>Influenza, Human - virology</subject><subject>Male</subject><subject>Medical centers</subject><subject>Medical laboratories</subject><subject>Medicine</subject><subject>Natural language processing</subject><subject>Odds Ratio</subject><subject>Pandemics</subject><subject>Population Surveillance</subject><subject>Privacy</subject><subject>Public health</subject><subject>Public Health and Epidemiology</subject><subject>Public Health and Epidemiology/Infectious Diseases</subject><subject>Quality management</subject><subject>Respiratory Medicine/Respiratory Infections</subject><subject>Seasons</subject><subject>Surveillance</subject><subject>Swine flu</subject><subject>Swine influenza</subject><subject>Tracking</subject><subject>Trends</subject><subject>United States - epidemiology</subject><subject>United States Department of Veterans Affairs</subject><subject>Veterans</subject><subject>Veterans hospitals</subject><subject>Viruses</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNU11rFDEUHUSxtfoPRAOC4sOu-ZjPF2Ep1S4UC9b2NdxkbnZTZpM1mSnWv-EfNtNuS0f6IPMw4d5zzr05uTfLXjM6Z6Jiny79EBx08613OKeUNoUQT7J91gg-KzkVTx-c97IXMV5SWoi6LJ9ne5xy2tCi2M_-HBmDurdXSFrsx5N3xBvSr5HwJEqO2TdGrDPdgO43kC24FjdWpxA5n5_NyUViBXCRLIwBGyLZYGs1dESjS5lIhmjdigBxMGqnBHapTPAuiSjr4xCu0HYdOI0kXsceNy-zZwa6iK92_4Ps_MvRj8Pj2cnp1-Xh4mSmy4b1M4FlWwioAEuhG2W4KHPFjCgo10oIZRqhKigbBYZSxZgxVNWQC14XoFRy6yB7e6u77XyUOz-jZLxuckapGBHLW0Tr4VJug91AuJYerLwJ-LCSEHqrO5R5ixo50KJWIqcFAnBWV6zgVBUtbXjS-ryrNqjk0WhPgG4iOs04u5YrfyV5LThleRL4sBMI_ueAsZcbGzWO1qEfoqyEKOqc8rHtd_8gH7_cDrWC1H96Yp_K6lFTLvJKNLSpqrHt-SOo9N2MQZo9Y1N8Qvg4ISRMj7_6FQwxyuXZ9__Hnl5Mse8fYNcIXb-OvhvGqYpTYH4L1MHHGNDce8yoHFfnzg05ro7crU6ivXn4Pveku10RfwEZShRI</recordid><startdate>20100304</startdate><enddate>20100304</enddate><creator>Schirmer, Patricia</creator><creator>Lucero, Cynthia</creator><creator>Oda, Gina</creator><creator>Lopez, Jessica</creator><creator>Holodniy, Mark</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20100304</creationdate><title>Effective detection of the 2009 H1N1 influenza pandemic in U.S. Veterans Affairs medical centers using a national electronic biosurveillance system</title><author>Schirmer, Patricia ; Lucero, Cynthia ; Oda, Gina ; Lopez, Jessica ; Holodniy, Mark</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c691t-3e6d53a7ae63c9bf2364b1f3502cb33bf93b7a69baf00b11ff0b8a43285abb533</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Algorithms</topic><topic>Analysis</topic><topic>Biosecurity</topic><topic>Biosurveillance - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schirmer, Patricia</au><au>Lucero, Cynthia</au><au>Oda, Gina</au><au>Lopez, Jessica</au><au>Holodniy, Mark</au><au>Zaas, Aimee K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effective detection of the 2009 H1N1 influenza pandemic in U.S. Veterans Affairs medical centers using a national electronic biosurveillance system</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2010-03-04</date><risdate>2010</risdate><volume>5</volume><issue>3</issue><spage>e9533</spage><epage>e9533</epage><pages>e9533-e9533</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The 2008-09 influenza season was the time in which the Department of Veterans Affairs (VA) utilized an electronic biosurveillance system for tracking and monitoring of influenza trends. The system, known as ESSENCE or Electronic Surveillance System for the Early Notification of Community-based Epidemics, was monitored for the influenza season as well as for a rise in influenza cases at the start of the H1N1 2009 influenza pandemic. We also describe trends noted in influenza-like illness (ILI) outpatient encounter data in VA medical centers during the 2008-09 influenza season, before and after the recognition of pandemic H1N1 2009 influenza virus.
We determined prevalence of ILI coded visits using VA's ESSENCE for 2008-09 seasonal influenza (Sept. 28, 2008-April 25, 2009 corresponding to CDC 2008-2009 flu season weeks 40-16) and the early period of pandemic H1N1 2009 (April 26, 2009-July 31, 2009 corresponding to CDC 2008-2009 flu season weeks 17-30). Differences in diagnostic ICD-9-CM code frequencies were analyzed using Chi-square and odds ratios. There were 649,574 ILI encounters captured representing 633,893 patients. The prevalence of VA ILI visits mirrored the CDC's Outpatient ILI Surveillance Network (ILINet) data with peaks in late December, early February, and late April/early May, mirroring the ILINet data; however, the peaks seen in the VA were smaller. Of 31 ILI codes, 6 decreased and 11 increased significantly during the early period of pandemic H1N1 2009. The ILI codes that significantly increased were more likely to be symptom codes. Although influenza with respiratory manifestation (487.1) was the most common code used among 150 confirmed pandemic H1N1 2009 cases, overall it significantly decreased since the start of the pandemic.
VA ESSENCE effectively detected and tracked changing ILI trends during pandemic H1N1 2009 and represents an important temporal alerting system for monitoring health events in VA facilities.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>20209055</pmid><doi>10.1371/journal.pone.0009533</doi><tpages>e9533</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Algorithms Analysis Biosecurity Biosurveillance - methods Classification Codes Diagnosis-Related Groups Diagnostic systems Disease prevention Emergency medical care Epidemics Female Government agencies Health care facilities Health informatics Humans Illnesses Infectious Diseases Infectious Diseases/Epidemiology and Control of Infectious Diseases Infectious Diseases/Respiratory Infections Infectious Diseases/Viral Infections Influenza Influenza A Virus, H1N1 Subtype - genetics Influenza, Human - epidemiology Influenza, Human - virology Male Medical centers Medical laboratories Medicine Natural language processing Odds Ratio Pandemics Population Surveillance Privacy Public health Public Health and Epidemiology Public Health and Epidemiology/Infectious Diseases Quality management Respiratory Medicine/Respiratory Infections Seasons Surveillance Swine flu Swine influenza Tracking Trends United States - epidemiology United States Department of Veterans Affairs Veterans Veterans hospitals Viruses |
title | Effective detection of the 2009 H1N1 influenza pandemic in U.S. Veterans Affairs medical centers using a national electronic biosurveillance system |
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