Disease Burden of 32 Infectious Diseases in the Netherlands, 2007-2011
Infectious disease burden estimates provided by a composite health measure give a balanced view of the true impact of a disease on a population, allowing the relative impact of diseases that differ in severity and mortality to be monitored over time. This article presents the first national disease...
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| Veröffentlicht in: | PloS one 2016-04, Vol.11 (4), p.e0153106 |
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| description | Infectious disease burden estimates provided by a composite health measure give a balanced view of the true impact of a disease on a population, allowing the relative impact of diseases that differ in severity and mortality to be monitored over time. This article presents the first national disease burden estimates for a comprehensive set of 32 infectious diseases in the Netherlands.
The average annual disease burden was computed for the period 2007-2011 for selected infectious diseases in the Netherlands using the disability-adjusted life years (DALY) measure. The pathogen- and incidence-based approach was adopted to quantify the burden due to both morbidity and premature mortality associated with all short and long-term consequences of infection. Natural history models, disease progression probabilities, disability weights, and other parameters were adapted from previous research. Annual incidence was obtained from statutory notification and other surveillance systems, which was corrected for under-ascertainment and under-reporting. The highest average annual disease burden was estimated for invasive pneumococcal disease (9444 DALYs/year; 95% uncertainty interval [UI]: 8911-9961) and influenza (8670 DALYs/year; 95% UI: 8468-8874), which represents 16% and 15% of the total burden of all 32 diseases, respectively. The remaining 30 diseases ranked by number of DALYs/year from high to low were: HIV infection, legionellosis, toxoplasmosis, chlamydia, campylobacteriosis, pertussis, tuberculosis, hepatitis C infection, Q fever, norovirus infection, salmonellosis, gonorrhoea, invasive meningococcal disease, hepatitis B infection, invasive Haemophilus influenzae infection, shigellosis, listeriosis, giardiasis, hepatitis A infection, infection with STEC O157, measles, cryptosporidiosis, syphilis, rabies, variant Creutzfeldt-Jakob disease, tetanus, mumps, rubella, diphtheria, and poliomyelitis. The very low burden for the latter five diseases can be attributed to the National Immunisation Programme. The average disease burden per individual varied from 0.2 (95% UI: 0.1-0.4) DALYs per 100 infections for giardiasis, to 5081 and 3581 (95% UI: 3540-3611) DALYs per 100 infections for rabies and variant Creutzfeldt-Jakob disease, respectively.
For guiding and supporting public health policy decisions regarding the prioritisation of interventions and preventive measures, estimates of disease burden and the comparison of burden between diseases can be informative. Although |
| doi_str_mv | 10.1371/journal.pone.0153106 |
| format | Article |
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The average annual disease burden was computed for the period 2007-2011 for selected infectious diseases in the Netherlands using the disability-adjusted life years (DALY) measure. The pathogen- and incidence-based approach was adopted to quantify the burden due to both morbidity and premature mortality associated with all short and long-term consequences of infection. Natural history models, disease progression probabilities, disability weights, and other parameters were adapted from previous research. Annual incidence was obtained from statutory notification and other surveillance systems, which was corrected for under-ascertainment and under-reporting. The highest average annual disease burden was estimated for invasive pneumococcal disease (9444 DALYs/year; 95% uncertainty interval [UI]: 8911-9961) and influenza (8670 DALYs/year; 95% UI: 8468-8874), which represents 16% and 15% of the total burden of all 32 diseases, respectively. The remaining 30 diseases ranked by number of DALYs/year from high to low were: HIV infection, legionellosis, toxoplasmosis, chlamydia, campylobacteriosis, pertussis, tuberculosis, hepatitis C infection, Q fever, norovirus infection, salmonellosis, gonorrhoea, invasive meningococcal disease, hepatitis B infection, invasive Haemophilus influenzae infection, shigellosis, listeriosis, giardiasis, hepatitis A infection, infection with STEC O157, measles, cryptosporidiosis, syphilis, rabies, variant Creutzfeldt-Jakob disease, tetanus, mumps, rubella, diphtheria, and poliomyelitis. The very low burden for the latter five diseases can be attributed to the National Immunisation Programme. The average disease burden per individual varied from 0.2 (95% UI: 0.1-0.4) DALYs per 100 infections for giardiasis, to 5081 and 3581 (95% UI: 3540-3611) DALYs per 100 infections for rabies and variant Creutzfeldt-Jakob disease, respectively.
For guiding and supporting public health policy decisions regarding the prioritisation of interventions and preventive measures, estimates of disease burden and the comparison of burden between diseases can be informative. Although the collection of disease-specific parameters and estimation of incidence is a process subject to continuous improvement, the current study established a baseline for assessing the impact of future public health initiatives.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0153106</identifier><identifier>PMID: 27097024</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Aged ; Campylobacteriosis ; Chlamydia ; Communicable diseases ; Communicable Diseases - economics ; Communicable Diseases - epidemiology ; Continuous improvement ; Cost of Illness ; Creutzfeldt-Jakob disease ; Cryptosporidiosis ; Demographic aspects ; Diphtheria ; Disease control ; Disease prevention ; Estimates ; Female ; Fever ; Food ; Giardiasis ; Health care ; Health policy ; Health promotion ; Health risk assessment ; Health sciences ; Hepatitis ; Hepatitis A ; Hepatitis B ; Hepatitis C ; HIV ; Human immunodeficiency virus ; Humans ; Immunization ; Incidence ; Infections ; Infectious diseases ; Influenza ; Invasive meningococcal disease ; Legionnaires disease ; Life expectancy ; Listeriosis ; Male ; Measles ; Medicine and Health Sciences ; Middle Aged ; Morbidity ; Mortality ; Mumps ; Netherlands - epidemiology ; Parameter estimation ; Pneumonia ; Poliomyelitis ; Prevalence studies (Epidemiology) ; Primary care ; Public health ; Q fever ; Rabies ; Respiratory Tract Diseases - economics ; Respiratory Tract Diseases - epidemiology ; Rubella ; Salmonellosis ; Sexually transmitted diseases ; Sexually Transmitted Diseases - economics ; Sexually Transmitted Diseases - epidemiology ; STD ; Surveillance systems ; Syphilis ; Tetanus ; Toxoplasmosis ; Tropical diseases ; Tuberculosis ; Vaccination ; Young Adult</subject><ispartof>PloS one, 2016-04, Vol.11 (4), p.e0153106</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 van Lier et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 van Lier et al 2016 van Lier et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-2a450c437d6d0f60d9f7e3a847411eecc556e418b3576b7c18ced3cbd3bfa2bd3</citedby><cites>FETCH-LOGICAL-c758t-2a450c437d6d0f60d9f7e3a847411eecc556e418b3576b7c18ced3cbd3bfa2bd3</cites><orcidid>0000-0002-6456-5460</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4838234/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4838234/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27097024$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>van Lier, Alies</creatorcontrib><creatorcontrib>McDonald, Scott A</creatorcontrib><creatorcontrib>Bouwknegt, Martijn</creatorcontrib><creatorcontrib>Kretzschmar, Mirjam E</creatorcontrib><creatorcontrib>Havelaar, Arie H</creatorcontrib><creatorcontrib>Mangen, Marie-Josée J</creatorcontrib><creatorcontrib>Wallinga, Jacco</creatorcontrib><creatorcontrib>de Melker, Hester E</creatorcontrib><creatorcontrib>EPI group</creatorcontrib><title>Disease Burden of 32 Infectious Diseases in the Netherlands, 2007-2011</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Infectious disease burden estimates provided by a composite health measure give a balanced view of the true impact of a disease on a population, allowing the relative impact of diseases that differ in severity and mortality to be monitored over time. This article presents the first national disease burden estimates for a comprehensive set of 32 infectious diseases in the Netherlands.
The average annual disease burden was computed for the period 2007-2011 for selected infectious diseases in the Netherlands using the disability-adjusted life years (DALY) measure. The pathogen- and incidence-based approach was adopted to quantify the burden due to both morbidity and premature mortality associated with all short and long-term consequences of infection. Natural history models, disease progression probabilities, disability weights, and other parameters were adapted from previous research. Annual incidence was obtained from statutory notification and other surveillance systems, which was corrected for under-ascertainment and under-reporting. The highest average annual disease burden was estimated for invasive pneumococcal disease (9444 DALYs/year; 95% uncertainty interval [UI]: 8911-9961) and influenza (8670 DALYs/year; 95% UI: 8468-8874), which represents 16% and 15% of the total burden of all 32 diseases, respectively. The remaining 30 diseases ranked by number of DALYs/year from high to low were: HIV infection, legionellosis, toxoplasmosis, chlamydia, campylobacteriosis, pertussis, tuberculosis, hepatitis C infection, Q fever, norovirus infection, salmonellosis, gonorrhoea, invasive meningococcal disease, hepatitis B infection, invasive Haemophilus influenzae infection, shigellosis, listeriosis, giardiasis, hepatitis A infection, infection with STEC O157, measles, cryptosporidiosis, syphilis, rabies, variant Creutzfeldt-Jakob disease, tetanus, mumps, rubella, diphtheria, and poliomyelitis. The very low burden for the latter five diseases can be attributed to the National Immunisation Programme. The average disease burden per individual varied from 0.2 (95% UI: 0.1-0.4) DALYs per 100 infections for giardiasis, to 5081 and 3581 (95% UI: 3540-3611) DALYs per 100 infections for rabies and variant Creutzfeldt-Jakob disease, respectively.
For guiding and supporting public health policy decisions regarding the prioritisation of interventions and preventive measures, estimates of disease burden and the comparison of burden between diseases can be informative. Although the collection of disease-specific parameters and estimation of incidence is a process subject to continuous improvement, the current study established a baseline for assessing the impact of future public health initiatives.</description><subject>Adult</subject><subject>Aged</subject><subject>Campylobacteriosis</subject><subject>Chlamydia</subject><subject>Communicable diseases</subject><subject>Communicable Diseases - economics</subject><subject>Communicable Diseases - epidemiology</subject><subject>Continuous improvement</subject><subject>Cost of Illness</subject><subject>Creutzfeldt-Jakob disease</subject><subject>Cryptosporidiosis</subject><subject>Demographic aspects</subject><subject>Diphtheria</subject><subject>Disease control</subject><subject>Disease prevention</subject><subject>Estimates</subject><subject>Female</subject><subject>Fever</subject><subject>Food</subject><subject>Giardiasis</subject><subject>Health care</subject><subject>Health policy</subject><subject>Health promotion</subject><subject>Health risk assessment</subject><subject>Health sciences</subject><subject>Hepatitis</subject><subject>Hepatitis A</subject><subject>Hepatitis B</subject><subject>Hepatitis C</subject><subject>HIV</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Immunization</subject><subject>Incidence</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Influenza</subject><subject>Invasive meningococcal disease</subject><subject>Legionnaires disease</subject><subject>Life expectancy</subject><subject>Listeriosis</subject><subject>Male</subject><subject>Measles</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Morbidity</subject><subject>Mortality</subject><subject>Mumps</subject><subject>Netherlands - epidemiology</subject><subject>Parameter estimation</subject><subject>Pneumonia</subject><subject>Poliomyelitis</subject><subject>Prevalence studies (Epidemiology)</subject><subject>Primary care</subject><subject>Public health</subject><subject>Q fever</subject><subject>Rabies</subject><subject>Respiratory Tract Diseases - economics</subject><subject>Respiratory Tract Diseases - epidemiology</subject><subject>Rubella</subject><subject>Salmonellosis</subject><subject>Sexually transmitted diseases</subject><subject>Sexually Transmitted Diseases - economics</subject><subject>Sexually Transmitted Diseases - epidemiology</subject><subject>STD</subject><subject>Surveillance systems</subject><subject>Syphilis</subject><subject>Tetanus</subject><subject>Toxoplasmosis</subject><subject>Tropical diseases</subject><subject>Tuberculosis</subject><subject>Vaccination</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNkluL1DAYhoso7kH_gWhBEAU75tQkvRHW1dWBxQVPtyGTfJnJ0GnGpF3035txustU9kICSUie703y5i2KJxjNMBX4zToMsdPtbBs6mCFcU4z4veIYN5RUnCB6_2B-VJyktEaoppLzh8UREagRiLDj4uK9T6ATlO-GaKErgyspKeedA9P7MKRy3E-l78p-BeVnyH1sdWfT65IgJCqCMH5UPHC6TfB4HE-L7xcfvp1_qi6vPs7Pzy4rI2rZV0SzGhlGheUWOY5s4wRQLZlgGAMYU9ccGJYLWgu-EAZLA5aahaULp0keTotne91tG5IaLUgKC0kkaRpCMjHfEzbotdpGv9Hxtwraq78LIS6Vjr03LSiCsQbHwSIMTGinMW2oxk5SRxlQk7XejqcNiw1YA10fdTsRne50fqWW4VoxSSWhLAu8HAVi-DlA6tXGJwNttg-yubt70yaDDGX0-T_o3a8bqaXOD_CdC_lcsxNVZ6ymjPCGy0zN7qBys7DxJufF-bw-KXg1KchMD7_6pR5SUvOvX_6fvfoxZV8csCvQbb9KoR1ytLo0BdkeNDGkFMHdmoyR2sX9xg21i7sa457Lnh5-0G3RTb7pH_Nz90s</recordid><startdate>20160420</startdate><enddate>20160420</enddate><creator>van Lier, Alies</creator><creator>McDonald, Scott A</creator><creator>Bouwknegt, Martijn</creator><creator>Kretzschmar, Mirjam E</creator><creator>Havelaar, Arie H</creator><creator>Mangen, Marie-Josée J</creator><creator>Wallinga, Jacco</creator><creator>de Melker, Hester E</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><orcidid>https://orcid.org/0000-0002-6456-5460</orcidid></search><sort><creationdate>20160420</creationdate><title>Disease Burden of 32 Infectious Diseases in the Netherlands, 2007-2011</title><author>van Lier, Alies ; McDonald, Scott A ; Bouwknegt, Martijn ; Kretzschmar, Mirjam E ; Havelaar, Arie H ; Mangen, Marie-Josée J ; Wallinga, Jacco ; de Melker, Hester E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-2a450c437d6d0f60d9f7e3a847411eecc556e418b3576b7c18ced3cbd3bfa2bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Campylobacteriosis</topic><topic>Chlamydia</topic><topic>Communicable diseases</topic><topic>Communicable Diseases - 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epidemiology</topic><topic>Parameter estimation</topic><topic>Pneumonia</topic><topic>Poliomyelitis</topic><topic>Prevalence studies (Epidemiology)</topic><topic>Primary care</topic><topic>Public health</topic><topic>Q fever</topic><topic>Rabies</topic><topic>Respiratory Tract Diseases - economics</topic><topic>Respiratory Tract Diseases - epidemiology</topic><topic>Rubella</topic><topic>Salmonellosis</topic><topic>Sexually transmitted diseases</topic><topic>Sexually Transmitted Diseases - economics</topic><topic>Sexually Transmitted Diseases - epidemiology</topic><topic>STD</topic><topic>Surveillance systems</topic><topic>Syphilis</topic><topic>Tetanus</topic><topic>Toxoplasmosis</topic><topic>Tropical diseases</topic><topic>Tuberculosis</topic><topic>Vaccination</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>van Lier, Alies</creatorcontrib><creatorcontrib>McDonald, Scott A</creatorcontrib><creatorcontrib>Bouwknegt, Martijn</creatorcontrib><creatorcontrib>Kretzschmar, Mirjam E</creatorcontrib><creatorcontrib>Havelaar, Arie H</creatorcontrib><creatorcontrib>Mangen, Marie-Josée J</creatorcontrib><creatorcontrib>Wallinga, Jacco</creatorcontrib><creatorcontrib>de Melker, Hester E</creatorcontrib><creatorcontrib>EPI group</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology 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>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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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>van Lier, Alies</au><au>McDonald, Scott A</au><au>Bouwknegt, Martijn</au><au>Kretzschmar, Mirjam E</au><au>Havelaar, Arie H</au><au>Mangen, Marie-Josée J</au><au>Wallinga, Jacco</au><au>de Melker, Hester E</au><aucorp>EPI group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Disease Burden of 32 Infectious Diseases in the Netherlands, 2007-2011</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-04-20</date><risdate>2016</risdate><volume>11</volume><issue>4</issue><spage>e0153106</spage><pages>e0153106-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Infectious disease burden estimates provided by a composite health measure give a balanced view of the true impact of a disease on a population, allowing the relative impact of diseases that differ in severity and mortality to be monitored over time. This article presents the first national disease burden estimates for a comprehensive set of 32 infectious diseases in the Netherlands.
The average annual disease burden was computed for the period 2007-2011 for selected infectious diseases in the Netherlands using the disability-adjusted life years (DALY) measure. The pathogen- and incidence-based approach was adopted to quantify the burden due to both morbidity and premature mortality associated with all short and long-term consequences of infection. Natural history models, disease progression probabilities, disability weights, and other parameters were adapted from previous research. Annual incidence was obtained from statutory notification and other surveillance systems, which was corrected for under-ascertainment and under-reporting. The highest average annual disease burden was estimated for invasive pneumococcal disease (9444 DALYs/year; 95% uncertainty interval [UI]: 8911-9961) and influenza (8670 DALYs/year; 95% UI: 8468-8874), which represents 16% and 15% of the total burden of all 32 diseases, respectively. The remaining 30 diseases ranked by number of DALYs/year from high to low were: HIV infection, legionellosis, toxoplasmosis, chlamydia, campylobacteriosis, pertussis, tuberculosis, hepatitis C infection, Q fever, norovirus infection, salmonellosis, gonorrhoea, invasive meningococcal disease, hepatitis B infection, invasive Haemophilus influenzae infection, shigellosis, listeriosis, giardiasis, hepatitis A infection, infection with STEC O157, measles, cryptosporidiosis, syphilis, rabies, variant Creutzfeldt-Jakob disease, tetanus, mumps, rubella, diphtheria, and poliomyelitis. The very low burden for the latter five diseases can be attributed to the National Immunisation Programme. The average disease burden per individual varied from 0.2 (95% UI: 0.1-0.4) DALYs per 100 infections for giardiasis, to 5081 and 3581 (95% UI: 3540-3611) DALYs per 100 infections for rabies and variant Creutzfeldt-Jakob disease, respectively.
For guiding and supporting public health policy decisions regarding the prioritisation of interventions and preventive measures, estimates of disease burden and the comparison of burden between diseases can be informative. Although the collection of disease-specific parameters and estimation of incidence is a process subject to continuous improvement, the current study established a baseline for assessing the impact of future public health initiatives.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27097024</pmid><doi>10.1371/journal.pone.0153106</doi><orcidid>https://orcid.org/0000-0002-6456-5460</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2016-04, Vol.11 (4), p.e0153106 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_1782829922 |
| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Adult Aged Campylobacteriosis Chlamydia Communicable diseases Communicable Diseases - economics Communicable Diseases - epidemiology Continuous improvement Cost of Illness Creutzfeldt-Jakob disease Cryptosporidiosis Demographic aspects Diphtheria Disease control Disease prevention Estimates Female Fever Food Giardiasis Health care Health policy Health promotion Health risk assessment Health sciences Hepatitis Hepatitis A Hepatitis B Hepatitis C HIV Human immunodeficiency virus Humans Immunization Incidence Infections Infectious diseases Influenza Invasive meningococcal disease Legionnaires disease Life expectancy Listeriosis Male Measles Medicine and Health Sciences Middle Aged Morbidity Mortality Mumps Netherlands - epidemiology Parameter estimation Pneumonia Poliomyelitis Prevalence studies (Epidemiology) Primary care Public health Q fever Rabies Respiratory Tract Diseases - economics Respiratory Tract Diseases - epidemiology Rubella Salmonellosis Sexually transmitted diseases Sexually Transmitted Diseases - economics Sexually Transmitted Diseases - epidemiology STD Surveillance systems Syphilis Tetanus Toxoplasmosis Tropical diseases Tuberculosis Vaccination Young Adult |
| title | Disease Burden of 32 Infectious Diseases in the Netherlands, 2007-2011 |
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