Estimates of excess medically attended acute respiratory infections in periods of seasonal and pandemic influenza in Germany from 2001/02 to 2010/11.
Identifieur interne : 000209 ( Main/Exploration ); précédent : 000208; suivant : 000210Estimates of excess medically attended acute respiratory infections in periods of seasonal and pandemic influenza in Germany from 2001/02 to 2010/11.
Auteurs : Matthias An Der Heiden [Allemagne] ; Karla Köpke ; Silke Buda ; Udo Buchholz ; Walter HaasSource :
- PloS one [ 1932-6203 ] ; 2013.
Descripteurs français
- KwdFr :
- MESH :
- épidémiologie : Allemagne, Grippe humaine, Infections de l'appareil respiratoire.
- Humains, Pandémies, Saisons.
- Wicri :
- geographic : Allemagne.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Germany.
- epidemiology : Influenza, Human, Respiratory Tract Infections.
- Humans, Pandemics, Seasons.
Abstract
BACKGROUND
The number of patients seeking health care is a central indicator that may serve several different purposes: (1) as a proxy for the impact on the burden of the primary care system; (2) as a starting point to estimate the number of persons ill with influenza; (3) as the denominator data for the calculation of case fatality rate and the proportion hospitalized (severity indicators); (4) for economic calculations. In addition, reliable estimates of burden of disease and on the health care system are essential to communicate the impact of influenza to health care professionals, public health professionals and to the public.
METHODOLOGY/PRINCIPAL FINDINGS
Using German syndromic surveillance data, we have developed a novel approach to describe the seasonal variation of medically attended acute respiratory infections (MAARI) and estimate the excess MAARI attributable to influenza. The weekly excess inside a period of influenza circulation is estimated as the difference between the actual MAARI and a MAARI-baseline, which is established using a cyclic regression model for counts. As a result, we estimated the highest ARI burden within the last 10 years for the influenza season 2004/05 with an excess of 7.5 million outpatient visits (CI95% 6.8-8.0). In contrast, the pandemic wave 2009 accounted for one third of this burden with an excess of 2.4 million (CI95% 1.9-2.8). Estimates can be produced for different age groups, different geographic regions in Germany and also in real time during the influenza waves.
DOI: 10.1371/journal.pone.0064593
PubMed: 23874380
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Estimates of excess medically attended acute respiratory infections in periods of seasonal and pandemic influenza in Germany from 2001/02 to 2010/11.</title><author><name sortKey="Der Heiden, Matthias An" sort="Der Heiden, Matthias An" uniqKey="Der Heiden M" first="Matthias An" last="Der Heiden">Matthias An Der Heiden</name><affiliation wicri:level="3"><nlm:affiliation>Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany. anderHeidenM@rki.de</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin</wicri:regionArea><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName></affiliation></author><author><name sortKey="Kopke, Karla" sort="Kopke, Karla" uniqKey="Kopke K" first="Karla" last="Köpke">Karla Köpke</name></author><author><name sortKey="Buda, Silke" sort="Buda, Silke" uniqKey="Buda S" first="Silke" last="Buda">Silke Buda</name></author><author><name sortKey="Buchholz, Udo" sort="Buchholz, Udo" uniqKey="Buchholz U" first="Udo" last="Buchholz">Udo Buchholz</name></author><author><name sortKey="Haas, Walter" sort="Haas, Walter" uniqKey="Haas W" first="Walter" last="Haas">Walter Haas</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="RBID">pubmed:23874380</idno><idno type="pmid">23874380</idno><idno type="doi">10.1371/journal.pone.0064593</idno><idno type="wicri:Area/Main/Corpus">000191</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000191</idno><idno type="wicri:Area/Main/Curation">000191</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000191</idno><idno type="wicri:Area/Main/Exploration">000191</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Estimates of excess medically attended acute respiratory infections in periods of seasonal and pandemic influenza in Germany from 2001/02 to 2010/11.</title><author><name sortKey="Der Heiden, Matthias An" sort="Der Heiden, Matthias An" uniqKey="Der Heiden M" first="Matthias An" last="Der Heiden">Matthias An Der Heiden</name><affiliation wicri:level="3"><nlm:affiliation>Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany. anderHeidenM@rki.de</nlm:affiliation><country xml:lang="fr">Allemagne</country><wicri:regionArea>Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin</wicri:regionArea><placeName><region type="land" nuts="3">Berlin</region><settlement type="city">Berlin</settlement></placeName></affiliation></author><author><name sortKey="Kopke, Karla" sort="Kopke, Karla" uniqKey="Kopke K" first="Karla" last="Köpke">Karla Köpke</name></author><author><name sortKey="Buda, Silke" sort="Buda, Silke" uniqKey="Buda S" first="Silke" last="Buda">Silke Buda</name></author><author><name sortKey="Buchholz, Udo" sort="Buchholz, Udo" uniqKey="Buchholz U" first="Udo" last="Buchholz">Udo Buchholz</name></author><author><name sortKey="Haas, Walter" sort="Haas, Walter" uniqKey="Haas W" first="Walter" last="Haas">Walter Haas</name></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Germany (epidemiology)</term><term>Humans</term><term>Influenza, Human (epidemiology)</term><term>Pandemics</term><term>Respiratory Tract Infections (epidemiology)</term><term>Seasons</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Allemagne (épidémiologie)</term><term>Grippe humaine (épidémiologie)</term><term>Humains</term><term>Infections de l'appareil respiratoire (épidémiologie)</term><term>Pandémies</term><term>Saisons</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Germany</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term><term>Respiratory Tract Infections</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Allemagne</term><term>Grippe humaine</term><term>Infections de l'appareil respiratoire</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Pandemics</term><term>Seasons</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Humains</term><term>Pandémies</term><term>Saisons</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Allemagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>The number of patients seeking health care is a central indicator that may serve several different purposes: (1) as a proxy for the impact on the burden of the primary care system; (2) as a starting point to estimate the number of persons ill with influenza; (3) as the denominator data for the calculation of case fatality rate and the proportion hospitalized (severity indicators); (4) for economic calculations. In addition, reliable estimates of burden of disease and on the health care system are essential to communicate the impact of influenza to health care professionals, public health professionals and to the public.</p></div><div type="abstract" xml:lang="en"><p><b>METHODOLOGY/PRINCIPAL FINDINGS</b></p><p>Using German syndromic surveillance data, we have developed a novel approach to describe the seasonal variation of medically attended acute respiratory infections (MAARI) and estimate the excess MAARI attributable to influenza. The weekly excess inside a period of influenza circulation is estimated as the difference between the actual MAARI and a MAARI-baseline, which is established using a cyclic regression model for counts. As a result, we estimated the highest ARI burden within the last 10 years for the influenza season 2004/05 with an excess of 7.5 million outpatient visits (CI95% 6.8-8.0). In contrast, the pandemic wave 2009 accounted for one third of this burden with an excess of 2.4 million (CI95% 1.9-2.8). Estimates can be produced for different age groups, different geographic regions in Germany and also in real time during the influenza waves.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23874380</PMID><DateCompleted><Year>2014</Year><Month>02</Month><Day>19</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Electronic-Print"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>8</Volume><Issue>7</Issue><PubDate><Year>2013</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS ONE</ISOAbbreviation></Journal><ArticleTitle>Estimates of excess medically attended acute respiratory infections in periods of seasonal and pandemic influenza in Germany from 2001/02 to 2010/11.</ArticleTitle><Pagination><MedlinePgn>e64593</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0064593</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The number of patients seeking health care is a central indicator that may serve several different purposes: (1) as a proxy for the impact on the burden of the primary care system; (2) as a starting point to estimate the number of persons ill with influenza; (3) as the denominator data for the calculation of case fatality rate and the proportion hospitalized (severity indicators); (4) for economic calculations. In addition, reliable estimates of burden of disease and on the health care system are essential to communicate the impact of influenza to health care professionals, public health professionals and to the public.</AbstractText><AbstractText Label="METHODOLOGY/PRINCIPAL FINDINGS" NlmCategory="RESULTS">Using German syndromic surveillance data, we have developed a novel approach to describe the seasonal variation of medically attended acute respiratory infections (MAARI) and estimate the excess MAARI attributable to influenza. The weekly excess inside a period of influenza circulation is estimated as the difference between the actual MAARI and a MAARI-baseline, which is established using a cyclic regression model for counts. As a result, we estimated the highest ARI burden within the last 10 years for the influenza season 2004/05 with an excess of 7.5 million outpatient visits (CI95% 6.8-8.0). In contrast, the pandemic wave 2009 accounted for one third of this burden with an excess of 2.4 million (CI95% 1.9-2.8). Estimates can be produced for different age groups, different geographic regions in Germany and also in real time during the influenza waves.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>der Heiden</LastName><ForeName>Matthias An</ForeName><Initials>MA</Initials><AffiliationInfo><Affiliation>Department of Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany. anderHeidenM@rki.de</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Köpke</LastName><ForeName>Karla</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Buda</LastName><ForeName>Silke</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Buchholz</LastName><ForeName>Udo</ForeName><Initials>U</Initials></Author><Author ValidYN="Y"><LastName>Haas</LastName><ForeName>Walter</ForeName><Initials>W</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>07</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>PLoS One</MedlineTA><NlmUniqueID>101285081</NlmUniqueID><ISSNLinking>1932-6203</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D005858" MajorTopicYN="N" Type="Geographic">Germany</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012141" MajorTopicYN="N">Respiratory Tract Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2012</Year><Month>12</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>04</Month><Day>16</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>7</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>7</Month><Day>23</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>2</Month><Day>20</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">23874380</ArticleId><ArticleId IdType="doi">10.1371/journal.pone.0064593</ArticleId><ArticleId IdType="pii">PONE-D-13-00304</ArticleId><ArticleId IdType="pmc">PMC3712969</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Arch Intern Med. 2005 Feb 14;165(3):265-72</Citation><ArticleIdList><ArticleId IdType="pubmed">15710788</ArticleId></ArticleIdList></Reference><Reference><Citation>Vaccine. 2006 Mar 24;24(14):2560-6</Citation><ArticleIdList><ArticleId IdType="pubmed">16414160</ArticleId></ArticleIdList></Reference><Reference><Citation>Emerg Infect Dis. 2009 Dec;15(12):2004-7</Citation><ArticleIdList><ArticleId IdType="pubmed">19961687</ArticleId></ArticleIdList></Reference><Reference><Citation>Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2007 May-Jun;50(5-6):686-700</Citation><ArticleIdList><ArticleId IdType="pubmed">17514453</ArticleId></ArticleIdList></Reference><Reference><Citation>Gesundheitswesen. 2010 May;72(5):301-8</Citation><ArticleIdList><ArticleId IdType="pubmed">19662593</ArticleId></ArticleIdList></Reference><Reference><Citation>Am J Epidemiol. 2008 Apr 1;167(7):775-85</Citation><ArticleIdList><ArticleId IdType="pubmed">18230677</ArticleId></ArticleIdList></Reference><Reference><Citation>Eur J Public Health. 2012 Feb;22(1):40-7</Citation><ArticleIdList><ArticleId IdType="pubmed">21148178</ArticleId></ArticleIdList></Reference><Reference><Citation>Public Health Rep. 1963 Jun;78(6):494-506</Citation><ArticleIdList><ArticleId IdType="pubmed">19316455</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS One. 2011;6(3):e17882</Citation><ArticleIdList><ArticleId IdType="pubmed">21412433</ArticleId></ArticleIdList></Reference><Reference><Citation>Am J Epidemiol. 2010 Jun 1;171(11):1157-64</Citation><ArticleIdList><ArticleId IdType="pubmed">20439308</ArticleId></ArticleIdList></Reference><Reference><Citation>J Infect Dis. 2006 Nov 1;194 Suppl 2:S82-91</Citation><ArticleIdList><ArticleId IdType="pubmed">17163394</ArticleId></ArticleIdList></Reference><Reference><Citation>J Infect. 2007 Jun;54(6):530-8</Citation><ArticleIdList><ArticleId IdType="pubmed">17097147</ArticleId></ArticleIdList></Reference><Reference><Citation>Epidemiology. 2012 Nov;23(6):829-38</Citation><ArticleIdList><ArticleId IdType="pubmed">22992574</ArticleId></ArticleIdList></Reference><Reference><Citation>J Clin Epidemiol. 2008 Aug;61(8):803-12</Citation><ArticleIdList><ArticleId IdType="pubmed">18495428</ArticleId></ArticleIdList></Reference><Reference><Citation>Eur J Pediatr. 2010 Aug;169(8):997-1008</Citation><ArticleIdList><ArticleId IdType="pubmed">20229049</ArticleId></ArticleIdList></Reference><Reference><Citation>BMC Infect Dis. 2009;9:133</Citation><ArticleIdList><ArticleId IdType="pubmed">19698116</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Allemagne</li></country><region><li>Berlin</li></region><settlement><li>Berlin</li></settlement></list><tree><noCountry><name sortKey="Buchholz, Udo" sort="Buchholz, Udo" uniqKey="Buchholz U" first="Udo" last="Buchholz">Udo Buchholz</name><name sortKey="Buda, Silke" sort="Buda, Silke" uniqKey="Buda S" first="Silke" last="Buda">Silke Buda</name><name sortKey="Haas, Walter" sort="Haas, Walter" uniqKey="Haas W" first="Walter" last="Haas">Walter Haas</name><name sortKey="Kopke, Karla" sort="Kopke, Karla" uniqKey="Kopke K" first="Karla" last="Köpke">Karla Köpke</name></noCountry><country name="Allemagne"><region name="Berlin"><name sortKey="Der Heiden, Matthias An" sort="Der Heiden, Matthias An" uniqKey="Der Heiden M" first="Matthias An" last="Der Heiden">Matthias An Der Heiden</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/GrippeAllemagneV3/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000209 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000209 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Sante
|area= GrippeAllemagneV3
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:23874380
|texte= Estimates of excess medically attended acute respiratory infections in periods of seasonal and pandemic influenza in Germany from 2001/02 to 2010/11.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:23874380" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a GrippeAllemagneV3
| This area was generated with Dilib version V0.6.35. |  |