Evaluation of an Adjustable Epidemiologic Information System
Identifieur interne : 001370 ( Pmc/Curation ); précédent : 001369; suivant : 001371Evaluation of an Adjustable Epidemiologic Information System
Auteurs : Jiunn-Shyan Julian Wu [République populaire de Chine] ; Fu-Yuan Shih [République populaire de Chine] ; Chan-Hsien Chiu [République populaire de Chine] ; Yuan-Lih Yeh [République populaire de Chine] ; Jer-Jea Yan [République populaire de Chine] ; Chwan-Chuen King [République populaire de Chine] ; Mei-Shang Ho [République populaire de Chine]Source :
- PLoS ONE [ 1932-6203 ] ; 2011.
Abstract
In order to facilitate public health response and to achieve early control of infectious disease epidemics, an adjustable epidemiologic information system (AEIS) was established in the Taiwan public health network in February 2006.
The performance of AEIS for the period 2006 through 2008 was evaluated based on a number of response times (RT) and the public health impact. After implementation of the system, the apparent overall shortened RT was mainly due to the shortening of personnel response time (PRT) and the time needed to draft a new questionnaire that incurred as personnel-system interface (PSI); PRT dropped from a fluctuating range of 9.8 ∼28.8 days in the first four months to <10 days in the following months and remained low till 2008 (0.88±1.52 days). The PSIs for newly emerged infectious diseases were 2.6 and 3.4 person-hours for H5N1 in 2007 and chikungunya in 2008, respectively, a much improvement from 1142.5 person-hours for SARS in 2003. The duration of each rubella epidemic cluster was evaluated as public health impact and showed a shortening trend (p = 0.019) that concurred with the shortening of PRT from 64.8±47.3 to 25.2±38.2 hours per cluster (p<0.0001).
The first evaluation of the novel instrument AEIS that had been used to assist Taiwan's multi-level government for infectious diseases control demonstrated that it was well integrated into the existing public health infrastructure. It provided flexible tools and computer algorithms with friendly interface for timely data collection, integration, and analysis; as a result, it shortened RTs, filled in gaps of personnel lacking sufficient experiences, created a more efficient flow of response, and identified asymptomatic/mild cases early to minimize further spreading. With further development, AEIS is anticipated to be useful in the application of other acute public health events needing immediate orchestrated data collection and public health actions.
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DOI: 10.1371/journal.pone.0014596
PubMed: 21298043
PubMed Central: 3029279
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University, Taipei, Taiwan</wicri:regionArea></affiliation></author><author><name sortKey="Shih, Fu Yuan" sort="Shih, Fu Yuan" uniqKey="Shih F" first="Fu-Yuan" last="Shih">Fu-Yuan Shih</name><affiliation wicri:level="1"><nlm:aff id="aff3"><addr-line>Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan</wicri:regionArea></affiliation></author><author><name sortKey="Chiu, Chan Hsien" sort="Chiu, Chan Hsien" uniqKey="Chiu C" first="Chan-Hsien" last="Chiu">Chan-Hsien Chiu</name><affiliation wicri:level="1"><nlm:aff id="aff1"><addr-line>Department of Health, Taiwan Centers for Disease Control, Taipei, Taiwan, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Health, Taiwan 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China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan</wicri:regionArea></affiliation></author><author><name sortKey="Shih, Fu Yuan" sort="Shih, Fu Yuan" uniqKey="Shih F" first="Fu-Yuan" last="Shih">Fu-Yuan Shih</name><affiliation wicri:level="1"><nlm:aff id="aff3"><addr-line>Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan</wicri:regionArea></affiliation></author><author><name sortKey="Chiu, Chan Hsien" sort="Chiu, Chan Hsien" uniqKey="Chiu C" first="Chan-Hsien" last="Chiu">Chan-Hsien Chiu</name><affiliation wicri:level="1"><nlm:aff id="aff1"><addr-line>Department of Health, Taiwan Centers for Disease Control, Taipei, Taiwan, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Health, Taiwan Centers for Disease Control, Taipei, Taiwan</wicri:regionArea></affiliation></author><author><name sortKey="Yeh, Yuan Lih" sort="Yeh, Yuan Lih" uniqKey="Yeh Y" first="Yuan-Lih" last="Yeh">Yuan-Lih Yeh</name><affiliation wicri:level="1"><nlm:aff id="aff1"><addr-line>Department of Health, Taiwan Centers for Disease Control, Taipei, Taiwan, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Health, Taiwan Centers for Disease Control, Taipei, Taiwan</wicri:regionArea></affiliation></author><author><name sortKey="Yan, Jer Jea" sort="Yan, Jer Jea" uniqKey="Yan J" first="Jer-Jea" last="Yan">Jer-Jea Yan</name><affiliation wicri:level="1"><nlm:aff id="aff1"><addr-line>Department of Health, Taiwan Centers for Disease Control, Taipei, Taiwan, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Health, Taiwan Centers for Disease Control, Taipei, Taiwan</wicri:regionArea></affiliation></author><author><name sortKey="King, Chwan Chuen" sort="King, Chwan Chuen" uniqKey="King C" first="Chwan-Chuen" last="King">Chwan-Chuen King</name><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan</wicri:regionArea></affiliation></author><author><name sortKey="Ho, Mei Shang" sort="Ho, Mei Shang" uniqKey="Ho M" first="Mei-Shang" last="Ho">Mei-Shang Ho</name><affiliation wicri:level="1"><nlm:aff id="aff2"><addr-line>Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan</wicri:regionArea></affiliation><affiliation wicri:level="1"><nlm:aff id="aff4"><addr-line>Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan, Republic of China</addr-line></nlm:aff><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan</wicri:regionArea></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>In order to facilitate public health response and to achieve early control of infectious disease epidemics, an adjustable epidemiologic information system (AEIS) was established in the Taiwan public health network in February 2006.</p></sec><sec><title>Methodology/Principal Findings</title><p>The performance of AEIS for the period 2006 through 2008 was evaluated based on a number of response times (RT) and the public health impact. After implementation of the system, the apparent overall shortened RT was mainly due to the shortening of personnel response time (PRT) and the time needed to draft a new questionnaire that incurred as personnel-system interface (PSI); PRT dropped from a fluctuating range of 9.8 ∼28.8 days in the first four months to <10 days in the following months and remained low till 2008 (0.88±1.52 days). The PSIs for newly emerged infectious diseases were 2.6 and 3.4 person-hours for H5N1 in 2007 and chikungunya in 2008, respectively, a much improvement from 1142.5 person-hours for SARS in 2003. The duration of each rubella epidemic cluster was evaluated as public health impact and showed a shortening trend (p = 0.019) that concurred with the shortening of PRT from 64.8±47.3 to 25.2±38.2 hours per cluster (p<0.0001).</p></sec><sec><title>Conclusions/Significance</title><p>The first evaluation of the novel instrument AEIS that had been used to assist Taiwan's multi-level government for infectious diseases control demonstrated that it was well integrated into the existing public health infrastructure. It provided flexible tools and computer algorithms with friendly interface for timely data collection, integration, and analysis; as a result, it shortened RTs, filled in gaps of personnel lacking sufficient experiences, created a more efficient flow of response, and identified asymptomatic/mild cases early to minimize further spreading. With further development, AEIS is anticipated to be useful in the application of other acute public health events needing immediate orchestrated data collection and public health actions.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Shih, Fy" uniqKey="Shih F">FY Shih</name></author><author><name sortKey="Yen, My" uniqKey="Yen M">MY Yen</name></author><author><name sortKey="Wu, Js" uniqKey="Wu J">JS Wu</name></author><author><name sortKey="Chang, Fk" uniqKey="Chang F">FK Chang</name></author><author><name sortKey="Lin, Lw" uniqKey="Lin L">LW Lin</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Pell, Jp" uniqKey="Pell J">JP Pell</name></author><author><name sortKey="Sirel, Jm" uniqKey="Sirel J">JM Sirel</name></author><author><name sortKey="Marsden, Ak" uniqKey="Marsden A">AK Marsden</name></author><author><name sortKey="Ford, I" uniqKey="Ford I">I 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Hagan, Jj" uniqKey="O Hagan J">JJ O'Hagan</name></author><author><name sortKey="Goldstein, E" uniqKey="Goldstein E">E Goldstein</name></author><author><name sortKey="Lajous, M" uniqKey="Lajous M">M Lajous</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">PLoS ONE</journal-id><journal-id journal-id-type="publisher-id">plos</journal-id><journal-id journal-id-type="pmc">plosone</journal-id><journal-title-group><journal-title>PLoS ONE</journal-title></journal-title-group><issn pub-type="epub">1932-6203</issn><publisher><publisher-name>Public Library of Science</publisher-name><publisher-loc>San Francisco, USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">21298043</article-id><article-id pub-id-type="pmc">3029279</article-id><article-id pub-id-type="publisher-id">10-PONE-RA-19945R1</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0014596</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="Discipline"><subject>Computer Science/Applications</subject><subject>Infectious Diseases/Epidemiology and Control of Infectious Diseases</subject><subject>Infectious Diseases/Neglected Tropical Diseases</subject><subject>Public Health and Epidemiology/Epidemiology</subject><subject>Public Health and Epidemiology/Health Policy</subject><subject>Public Health and Epidemiology/Health Services Research and Economics</subject><subject>Public Health and Epidemiology/Infectious Diseases</subject></subj-group></article-categories><title-group><article-title>Evaluation of an Adjustable Epidemiologic Information System</article-title><alt-title alt-title-type="running-head">Taiwan Epi. Information System</alt-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Wu</surname><given-names>Jiunn-Shyan Julian</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Shih</surname><given-names>Fu-Yuan</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author"><name><surname>Chiu</surname><given-names>Chan-Hsien</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Yeh</surname><given-names>Yuan-Lih</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Yan</surname><given-names>Jer-Jea</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name><surname>King</surname><given-names>Chwan-Chuen</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name><surname>Ho</surname><given-names>Mei-Shang</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="aff" rid="aff4"><sup>4</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>Department of Health, Taiwan Centers for Disease Control, Taipei, Taiwan, Republic of China</addr-line></aff><aff id="aff2"><label>2</label><addr-line>Institute of Epidemiology, College of Public Health, National Taiwan University, Taipei, Taiwan, Republic of China</addr-line></aff><aff id="aff3"><label>3</label><addr-line>Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan, Republic of China</addr-line></aff><aff id="aff4"><label>4</label><addr-line>Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan, Republic of China</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Mock</surname><given-names>Nancy</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1">Tulane University, United States of America</aff><author-notes><corresp id="cor1">* E-mail: <email>homs@ibms.sinica.edu.tw</email></corresp><fn fn-type="con"><p>Conceived and designed the experiments: JSJW FYS CHC CCK MSH. Performed the experiments: JSJW. Analyzed the data: JSJW. Contributed reagents/materials/analysis tools: JSJW YLY JJY. Wrote the paper: JSJW. Supervised the study: MSH CHC JJY CCK. Revised the manuscript: MSH FYS CCK.</p></fn></author-notes><pub-date pub-type="collection"><year>2011</year></pub-date><pub-date pub-type="epub"><day>27</day><month>1</month><year>2011</year></pub-date><volume>6</volume><issue>1</issue><elocation-id>e14596</elocation-id><history><date date-type="received"><day>17</day><month>6</month><year>2010</year></date><date date-type="accepted"><day>27</day><month>12</month><year>2010</year></date></history><permissions><copyright-statement>Wu et al.</copyright-statement><copyright-year>2011</copyright-year><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.</license-p></license></permissions><abstract><sec><title>Background</title><p>In order to facilitate public health response and to achieve early control of infectious disease epidemics, an adjustable epidemiologic information system (AEIS) was established in the Taiwan public health network in February 2006.</p></sec><sec><title>Methodology/Principal Findings</title><p>The performance of AEIS for the period 2006 through 2008 was evaluated based on a number of response times (RT) and the public health impact. After implementation of the system, the apparent overall shortened RT was mainly due to the shortening of personnel response time (PRT) and the time needed to draft a new questionnaire that incurred as personnel-system interface (PSI); PRT dropped from a fluctuating range of 9.8 ∼28.8 days in the first four months to <10 days in the following months and remained low till 2008 (0.88±1.52 days). The PSIs for newly emerged infectious diseases were 2.6 and 3.4 person-hours for H5N1 in 2007 and chikungunya in 2008, respectively, a much improvement from 1142.5 person-hours for SARS in 2003. The duration of each rubella epidemic cluster was evaluated as public health impact and showed a shortening trend (p = 0.019) that concurred with the shortening of PRT from 64.8±47.3 to 25.2±38.2 hours per cluster (p<0.0001).</p></sec><sec><title>Conclusions/Significance</title><p>The first evaluation of the novel instrument AEIS that had been used to assist Taiwan's multi-level government for infectious diseases control demonstrated that it was well integrated into the existing public health infrastructure. It provided flexible tools and computer algorithms with friendly interface for timely data collection, integration, and analysis; as a result, it shortened RTs, filled in gaps of personnel lacking sufficient experiences, created a more efficient flow of response, and identified asymptomatic/mild cases early to minimize further spreading. With further development, AEIS is anticipated to be useful in the application of other acute public health events needing immediate orchestrated data collection and public health actions.</p></sec></abstract><counts><page-count count="10"></page-count></counts></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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