Loading…
Burden of illness of the 2009 pandemic of influenza A (H1N1) in Denmark
We analysed Danish surveillance data to estimate influenza-associated morbidity and mortality in 2009. To obtain population-based estimates of the clinical attack rate, we combined data from two different primary health care surveillance systems, national numbers of the proportion of positive influe...
Saved in:
| Published in: | Vaccine 2011-07, Vol.29 (S2), p.B63-B69 |
|---|---|
| Main Authors: | , , , , , , , , , , , , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| cited_by | cdi_FETCH-LOGICAL-c597t-5837f1c512749508c1011cb9161037960159955d79d9d954672bbf4c68da609c3 |
|---|---|
| cites | cdi_FETCH-LOGICAL-c597t-5837f1c512749508c1011cb9161037960159955d79d9d954672bbf4c68da609c3 |
| container_end_page | B69 |
| container_issue | S2 |
| container_start_page | B63 |
| container_title | Vaccine |
| container_volume | 29 |
| creator | Mølbak, Kåre Widgren, Katarina Jensen, Klaus Skovbo Ethelberg, Steen Andersen, Peter H Christiansen, Annette H Emborg, Hanne-Dorthe Gubbels, Sophie Harder, Katja Majlund Krause, Tyra Grove Mazick, Anne Nielsen, Lars Peter Nielsen, Jens Valentiner-Branth, Palle Glismann, Steffen |
| description | We analysed Danish surveillance data to estimate influenza-associated morbidity and mortality in 2009. To obtain population-based estimates of the clinical attack rate, we combined data from two different primary health care surveillance systems, national numbers of the proportion of positive influenza tests, and data from a web-based interview on health care seeking behaviour during the pandemic. From a national registry, we obtained data on hospital admissions (ICD-10 codes) for influenza related conditions. Admission to intensive care was monitored by a dedicated surveillance scheme. Mortality was estimated among laboratory confirmed cases but was also expressed as excess all-cause mortality attributed to influenza-like illness in a multivariable time series analysis. In total, we estimated that 274,000 individuals (5%) in Denmark experienced clinical illness. The highest attack rate was found in children 5–14 years (15%). Compared with the expected number of hospital admissions, there was an 80% increase in number of influenza related hospital admissions in this age group. The numbers of patients admitted to intensive care approached 5% of the national capacity. Estimates of the number of deaths ranged from 30 to 312 (0.5–5.7 per 100,000 population) depending on the methodology. In conclusion, the pandemic was characterised by high morbidity and unprecedented high rates of admissions to hospitals for a range of influenza-related conditions affecting mainly children. Nonetheless, the burden of illness was lower than assumed in planning scenarios, and the present pandemic compares favourable with the 20th century pandemics. |
| doi_str_mv | 10.1016/j.vaccine.2011.03.064 |
| format | article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_915489771</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>1_s2_0_S0264410X11004464</els_id><sourcerecordid>1500788418</sourcerecordid><originalsourceid>FETCH-LOGICAL-c597t-5837f1c512749508c1011cb9161037960159955d79d9d954672bbf4c68da609c3</originalsourceid><addsrcrecordid>eNqNkk9v1DAQxS0EotuFjwBE4kA5JMz4vy9FbYEWqYJDqcTNyjoOeJt1lnhTqXx6HHYBqYcW-WDL_vlp3swj5BlChYDyzbK6rp0L0VcUECtgFUj-gMxQK1ZSgfohmQGVvOQIX_fIfkpLABAMzWOyR1EJhaBm5PR4HBofi74tQtdFn9J03Hz3BQUwxbqOjV8F9_s9tt3o48-6OCoOzvATvs5XxTsfV_Vw9YQ8ausu-ae7fU4uP7z_cnJWnn8-_XhydF46YdSmFJqpFp1AqrgRoF32gm5hUCIwZSSgMEaIRpkmL8GlootFy53UTS3BODYnr7a666H_Mfq0sauQnO-6Ovp-TNag4NoohfeSWhmuOWWQyYM7SRQUmOZc_g8KoLTmqDP68ha67Mch5ubYqUbNjJbqToqbXCIXfKLElnJDn9LgW7seQm77jUWwUxzs0u7iYKc4WGA2xyH_e75THxcr3_z99Wf-GXixBdq6t_W3ISR7eZEVsg3kdPI9J2-3hM9TvQ5-sMkFH51vwuDdxjZ9uLeIw1sKrgsxuLq78jc-_fNrE7VgL6bUTqFFBMhN5-wXtI7eZA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1497944547</pqid></control><display><type>article</type><title>Burden of illness of the 2009 pandemic of influenza A (H1N1) in Denmark</title><source>ScienceDirect Freedom Collection</source><creator>Mølbak, Kåre ; Widgren, Katarina ; Jensen, Klaus Skovbo ; Ethelberg, Steen ; Andersen, Peter H ; Christiansen, Annette H ; Emborg, Hanne-Dorthe ; Gubbels, Sophie ; Harder, Katja Majlund ; Krause, Tyra Grove ; Mazick, Anne ; Nielsen, Lars Peter ; Nielsen, Jens ; Valentiner-Branth, Palle ; Glismann, Steffen</creator><creatorcontrib>Mølbak, Kåre ; Widgren, Katarina ; Jensen, Klaus Skovbo ; Ethelberg, Steen ; Andersen, Peter H ; Christiansen, Annette H ; Emborg, Hanne-Dorthe ; Gubbels, Sophie ; Harder, Katja Majlund ; Krause, Tyra Grove ; Mazick, Anne ; Nielsen, Lars Peter ; Nielsen, Jens ; Valentiner-Branth, Palle ; Glismann, Steffen</creatorcontrib><description>We analysed Danish surveillance data to estimate influenza-associated morbidity and mortality in 2009. To obtain population-based estimates of the clinical attack rate, we combined data from two different primary health care surveillance systems, national numbers of the proportion of positive influenza tests, and data from a web-based interview on health care seeking behaviour during the pandemic. From a national registry, we obtained data on hospital admissions (ICD-10 codes) for influenza related conditions. Admission to intensive care was monitored by a dedicated surveillance scheme. Mortality was estimated among laboratory confirmed cases but was also expressed as excess all-cause mortality attributed to influenza-like illness in a multivariable time series analysis. In total, we estimated that 274,000 individuals (5%) in Denmark experienced clinical illness. The highest attack rate was found in children 5–14 years (15%). Compared with the expected number of hospital admissions, there was an 80% increase in number of influenza related hospital admissions in this age group. The numbers of patients admitted to intensive care approached 5% of the national capacity. Estimates of the number of deaths ranged from 30 to 312 (0.5–5.7 per 100,000 population) depending on the methodology. In conclusion, the pandemic was characterised by high morbidity and unprecedented high rates of admissions to hospitals for a range of influenza-related conditions affecting mainly children. Nonetheless, the burden of illness was lower than assumed in planning scenarios, and the present pandemic compares favourable with the 20th century pandemics.</description><identifier>ISSN: 0264-410X</identifier><identifier>EISSN: 1873-2518</identifier><identifier>DOI: 10.1016/j.vaccine.2011.03.064</identifier><identifier>PMID: 21757107</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Adolescent ; Adult ; Age ; Age Distribution ; Aged ; Allergy and Immunology ; burden of disease ; Burden of illness ; Child ; Child, Preschool ; Children ; Cost of Illness ; Data processing ; Denmark - epidemiology ; Female ; Health care ; health services ; Hospitalization ; Hospitals ; Humans ; Illnesses ; Infant ; Influenza ; Influenza A ; Influenza A Virus, H1N1 Subtype ; Influenza, Human - epidemiology ; Intensive care ; Internet ; Male ; Middle Aged ; monitoring ; Morbidity ; Mortality ; pandemic ; Pandemic influenza A (H1N1) ; Pandemics ; patients ; planning ; Seasons ; time series analysis ; vaccines ; Young Adult</subject><ispartof>Vaccine, 2011-07, Vol.29 (S2), p.B63-B69</ispartof><rights>Elsevier Ltd</rights><rights>2011 Elsevier Ltd</rights><rights>Copyright © 2011 Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Limited Jul 22, 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c597t-5837f1c512749508c1011cb9161037960159955d79d9d954672bbf4c68da609c3</citedby><cites>FETCH-LOGICAL-c597t-5837f1c512749508c1011cb9161037960159955d79d9d954672bbf4c68da609c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,783,787,27936,27937</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21757107$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mølbak, Kåre</creatorcontrib><creatorcontrib>Widgren, Katarina</creatorcontrib><creatorcontrib>Jensen, Klaus Skovbo</creatorcontrib><creatorcontrib>Ethelberg, Steen</creatorcontrib><creatorcontrib>Andersen, Peter H</creatorcontrib><creatorcontrib>Christiansen, Annette H</creatorcontrib><creatorcontrib>Emborg, Hanne-Dorthe</creatorcontrib><creatorcontrib>Gubbels, Sophie</creatorcontrib><creatorcontrib>Harder, Katja Majlund</creatorcontrib><creatorcontrib>Krause, Tyra Grove</creatorcontrib><creatorcontrib>Mazick, Anne</creatorcontrib><creatorcontrib>Nielsen, Lars Peter</creatorcontrib><creatorcontrib>Nielsen, Jens</creatorcontrib><creatorcontrib>Valentiner-Branth, Palle</creatorcontrib><creatorcontrib>Glismann, Steffen</creatorcontrib><title>Burden of illness of the 2009 pandemic of influenza A (H1N1) in Denmark</title><title>Vaccine</title><addtitle>Vaccine</addtitle><description>We analysed Danish surveillance data to estimate influenza-associated morbidity and mortality in 2009. To obtain population-based estimates of the clinical attack rate, we combined data from two different primary health care surveillance systems, national numbers of the proportion of positive influenza tests, and data from a web-based interview on health care seeking behaviour during the pandemic. From a national registry, we obtained data on hospital admissions (ICD-10 codes) for influenza related conditions. Admission to intensive care was monitored by a dedicated surveillance scheme. Mortality was estimated among laboratory confirmed cases but was also expressed as excess all-cause mortality attributed to influenza-like illness in a multivariable time series analysis. In total, we estimated that 274,000 individuals (5%) in Denmark experienced clinical illness. The highest attack rate was found in children 5–14 years (15%). Compared with the expected number of hospital admissions, there was an 80% increase in number of influenza related hospital admissions in this age group. The numbers of patients admitted to intensive care approached 5% of the national capacity. Estimates of the number of deaths ranged from 30 to 312 (0.5–5.7 per 100,000 population) depending on the methodology. In conclusion, the pandemic was characterised by high morbidity and unprecedented high rates of admissions to hospitals for a range of influenza-related conditions affecting mainly children. Nonetheless, the burden of illness was lower than assumed in planning scenarios, and the present pandemic compares favourable with the 20th century pandemics.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Age Distribution</subject><subject>Aged</subject><subject>Allergy and Immunology</subject><subject>burden of disease</subject><subject>Burden of illness</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Cost of Illness</subject><subject>Data processing</subject><subject>Denmark - epidemiology</subject><subject>Female</subject><subject>Health care</subject><subject>health services</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Illnesses</subject><subject>Infant</subject><subject>Influenza</subject><subject>Influenza A</subject><subject>Influenza A Virus, H1N1 Subtype</subject><subject>Influenza, Human - epidemiology</subject><subject>Intensive care</subject><subject>Internet</subject><subject>Male</subject><subject>Middle Aged</subject><subject>monitoring</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>pandemic</subject><subject>Pandemic influenza A (H1N1)</subject><subject>Pandemics</subject><subject>patients</subject><subject>planning</subject><subject>Seasons</subject><subject>time series analysis</subject><subject>vaccines</subject><subject>Young Adult</subject><issn>0264-410X</issn><issn>1873-2518</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqNkk9v1DAQxS0EotuFjwBE4kA5JMz4vy9FbYEWqYJDqcTNyjoOeJt1lnhTqXx6HHYBqYcW-WDL_vlp3swj5BlChYDyzbK6rp0L0VcUECtgFUj-gMxQK1ZSgfohmQGVvOQIX_fIfkpLABAMzWOyR1EJhaBm5PR4HBofi74tQtdFn9J03Hz3BQUwxbqOjV8F9_s9tt3o48-6OCoOzvATvs5XxTsfV_Vw9YQ8ausu-ae7fU4uP7z_cnJWnn8-_XhydF46YdSmFJqpFp1AqrgRoF32gm5hUCIwZSSgMEaIRpkmL8GlootFy53UTS3BODYnr7a666H_Mfq0sauQnO-6Ovp-TNag4NoohfeSWhmuOWWQyYM7SRQUmOZc_g8KoLTmqDP68ha67Mch5ubYqUbNjJbqToqbXCIXfKLElnJDn9LgW7seQm77jUWwUxzs0u7iYKc4WGA2xyH_e75THxcr3_z99Wf-GXixBdq6t_W3ISR7eZEVsg3kdPI9J2-3hM9TvQ5-sMkFH51vwuDdxjZ9uLeIw1sKrgsxuLq78jc-_fNrE7VgL6bUTqFFBMhN5-wXtI7eZA</recordid><startdate>20110722</startdate><enddate>20110722</enddate><creator>Mølbak, Kåre</creator><creator>Widgren, Katarina</creator><creator>Jensen, Klaus Skovbo</creator><creator>Ethelberg, Steen</creator><creator>Andersen, Peter H</creator><creator>Christiansen, Annette H</creator><creator>Emborg, Hanne-Dorthe</creator><creator>Gubbels, Sophie</creator><creator>Harder, Katja Majlund</creator><creator>Krause, Tyra Grove</creator><creator>Mazick, Anne</creator><creator>Nielsen, Lars Peter</creator><creator>Nielsen, Jens</creator><creator>Valentiner-Branth, Palle</creator><creator>Glismann, Steffen</creator><general>Elsevier Ltd</general><general>Elsevier Limited</general><scope>FBQ</scope><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>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7T2</scope><scope>7T5</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7U2</scope><scope>7X8</scope></search><sort><creationdate>20110722</creationdate><title>Burden of illness of the 2009 pandemic of influenza A (H1N1) in Denmark</title><author>Mølbak, Kåre ; Widgren, Katarina ; Jensen, Klaus Skovbo ; Ethelberg, Steen ; Andersen, Peter H ; Christiansen, Annette H ; Emborg, Hanne-Dorthe ; Gubbels, Sophie ; Harder, Katja Majlund ; Krause, Tyra Grove ; Mazick, Anne ; Nielsen, Lars Peter ; Nielsen, Jens ; Valentiner-Branth, Palle ; Glismann, Steffen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c597t-5837f1c512749508c1011cb9161037960159955d79d9d954672bbf4c68da609c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Age</topic><topic>Age Distribution</topic><topic>Aged</topic><topic>Allergy and Immunology</topic><topic>burden of disease</topic><topic>Burden of illness</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Cost of Illness</topic><topic>Data processing</topic><topic>Denmark - epidemiology</topic><topic>Female</topic><topic>Health care</topic><topic>health services</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Illnesses</topic><topic>Infant</topic><topic>Influenza</topic><topic>Influenza A</topic><topic>Influenza A Virus, H1N1 Subtype</topic><topic>Influenza, Human - epidemiology</topic><topic>Intensive care</topic><topic>Internet</topic><topic>Male</topic><topic>Middle Aged</topic><topic>monitoring</topic><topic>Morbidity</topic><topic>Mortality</topic><topic>pandemic</topic><topic>Pandemic influenza A (H1N1)</topic><topic>Pandemics</topic><topic>patients</topic><topic>planning</topic><topic>Seasons</topic><topic>time series analysis</topic><topic>vaccines</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mølbak, Kåre</creatorcontrib><creatorcontrib>Widgren, Katarina</creatorcontrib><creatorcontrib>Jensen, Klaus Skovbo</creatorcontrib><creatorcontrib>Ethelberg, Steen</creatorcontrib><creatorcontrib>Andersen, Peter H</creatorcontrib><creatorcontrib>Christiansen, Annette H</creatorcontrib><creatorcontrib>Emborg, Hanne-Dorthe</creatorcontrib><creatorcontrib>Gubbels, Sophie</creatorcontrib><creatorcontrib>Harder, Katja Majlund</creatorcontrib><creatorcontrib>Krause, Tyra Grove</creatorcontrib><creatorcontrib>Mazick, Anne</creatorcontrib><creatorcontrib>Nielsen, Lars Peter</creatorcontrib><creatorcontrib>Nielsen, Jens</creatorcontrib><creatorcontrib>Valentiner-Branth, Palle</creatorcontrib><creatorcontrib>Glismann, Steffen</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>ProQuest Nursing and Allied Health Source</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health Medical collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>Consumer Health Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Biological Sciences</collection><collection>ProQuest Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest Healthcare Administration Database</collection><collection>PML(ProQuest Medical Library)</collection><collection>ProQuest_Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Safety Science and Risk</collection><collection>MEDLINE - Academic</collection><jtitle>Vaccine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mølbak, Kåre</au><au>Widgren, Katarina</au><au>Jensen, Klaus Skovbo</au><au>Ethelberg, Steen</au><au>Andersen, Peter H</au><au>Christiansen, Annette H</au><au>Emborg, Hanne-Dorthe</au><au>Gubbels, Sophie</au><au>Harder, Katja Majlund</au><au>Krause, Tyra Grove</au><au>Mazick, Anne</au><au>Nielsen, Lars Peter</au><au>Nielsen, Jens</au><au>Valentiner-Branth, Palle</au><au>Glismann, Steffen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Burden of illness of the 2009 pandemic of influenza A (H1N1) in Denmark</atitle><jtitle>Vaccine</jtitle><addtitle>Vaccine</addtitle><date>2011-07-22</date><risdate>2011</risdate><volume>29</volume><issue>S2</issue><spage>B63</spage><epage>B69</epage><pages>B63-B69</pages><issn>0264-410X</issn><eissn>1873-2518</eissn><abstract>We analysed Danish surveillance data to estimate influenza-associated morbidity and mortality in 2009. To obtain population-based estimates of the clinical attack rate, we combined data from two different primary health care surveillance systems, national numbers of the proportion of positive influenza tests, and data from a web-based interview on health care seeking behaviour during the pandemic. From a national registry, we obtained data on hospital admissions (ICD-10 codes) for influenza related conditions. Admission to intensive care was monitored by a dedicated surveillance scheme. Mortality was estimated among laboratory confirmed cases but was also expressed as excess all-cause mortality attributed to influenza-like illness in a multivariable time series analysis. In total, we estimated that 274,000 individuals (5%) in Denmark experienced clinical illness. The highest attack rate was found in children 5–14 years (15%). Compared with the expected number of hospital admissions, there was an 80% increase in number of influenza related hospital admissions in this age group. The numbers of patients admitted to intensive care approached 5% of the national capacity. Estimates of the number of deaths ranged from 30 to 312 (0.5–5.7 per 100,000 population) depending on the methodology. In conclusion, the pandemic was characterised by high morbidity and unprecedented high rates of admissions to hospitals for a range of influenza-related conditions affecting mainly children. Nonetheless, the burden of illness was lower than assumed in planning scenarios, and the present pandemic compares favourable with the 20th century pandemics.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>21757107</pmid><doi>10.1016/j.vaccine.2011.03.064</doi></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0264-410X |
| ispartof | Vaccine, 2011-07, Vol.29 (S2), p.B63-B69 |
| issn | 0264-410X 1873-2518 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_915489771 |
| source | ScienceDirect Freedom Collection |
| subjects | Adolescent Adult Age Age Distribution Aged Allergy and Immunology burden of disease Burden of illness Child Child, Preschool Children Cost of Illness Data processing Denmark - epidemiology Female Health care health services Hospitalization Hospitals Humans Illnesses Infant Influenza Influenza A Influenza A Virus, H1N1 Subtype Influenza, Human - epidemiology Intensive care Internet Male Middle Aged monitoring Morbidity Mortality pandemic Pandemic influenza A (H1N1) Pandemics patients planning Seasons time series analysis vaccines Young Adult |
| title | Burden of illness of the 2009 pandemic of influenza A (H1N1) in Denmark |
| url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-11-20T14%3A34%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Burden%20of%20illness%20of%20the%202009%20pandemic%20of%20influenza%20A%20(H1N1)%20in%20Denmark&rft.jtitle=Vaccine&rft.au=M%C3%B8lbak,%20K%C3%A5re&rft.date=2011-07-22&rft.volume=29&rft.issue=S2&rft.spage=B63&rft.epage=B69&rft.pages=B63-B69&rft.issn=0264-410X&rft.eissn=1873-2518&rft_id=info:doi/10.1016/j.vaccine.2011.03.064&rft_dat=%3Cproquest_cross%3E1500788418%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c597t-5837f1c512749508c1011cb9161037960159955d79d9d954672bbf4c68da609c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1497944547&rft_id=info:pmid/21757107&rfr_iscdi=true |