The impact of demographic change on the estimated future burden of infectious diseases: examples from hepatitis B and seasonal influenza in the Netherlands.
Identifieur interne : 000153 ( Main/Corpus ); précédent : 000152; suivant : 000154The impact of demographic change on the estimated future burden of infectious diseases: examples from hepatitis B and seasonal influenza in the Netherlands.
Auteurs : Scott A. Mcdonald ; Alies Van Lier ; Dietrich Plass ; Mirjam Ee KretzschmarSource :
- BMC public health [ 1471-2458 ] ; 2012.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Age Distribution (MeSH), Aged (MeSH), Child (MeSH), Child, Preschool (MeSH), Cost of Illness (MeSH), Female (MeSH), Forecasting (methods), Hepatitis B (epidemiology), Humans (MeSH), Infant (MeSH), Influenza, Human (epidemiology), Male (MeSH), Middle Aged (MeSH), Netherlands (epidemiology), Population Dynamics (statistics & numerical data), Qualitative Research (MeSH), Seasons (MeSH), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : Netherlands.
- epidemiology : Hepatitis B, Influenza, Human.
- methods : Forecasting.
- statistics & numerical data : Population Dynamics.
- Adolescent, Adult, Age Distribution, Aged, Child, Child, Preschool, Cost of Illness, Female, Humans, Infant, Male, Middle Aged, Qualitative Research, Seasons, Young Adult.
Abstract
BACKGROUND
For accurate estimation of the future burden of communicable diseases, the dynamics of the population at risk - namely population growth and population ageing - need to be taken into account. Accurate burden estimates are necessary for informing policy-makers regarding the planning of vaccination and other control, intervention, and prevention measures. Our aim was to qualitatively explore the impact of population ageing on the estimated future burden of seasonal influenza and hepatitis B virus (HBV) infection in the Netherlands, in the period 2000-2030.
METHODS
Population-level disease burden was quantified using the disability-adjusted life years (DALY) measure applied to all health outcomes following acute infection. We used national notification data, pre-defined disease progression models, and a simple model of demographic dynamics to investigate the impact of population ageing on the burden of seasonal influenza and HBV. Scenario analyses were conducted to explore the potential impact of intervention-associated changes in incidence rates.
RESULTS
Including population dynamics resulted in increasing burden over the study period for influenza, whereas a relatively stable future burden was predicted for HBV. For influenza, the increase in DALYs was localised within YLL for the oldest age-groups (55 and older), and for HBV the effect of longer life expectancy in the future was offset by a reduction in incidence in the age-groups most at risk of infection. For both infections, the predicted disease burden was greater than if a static demography was assumed: 1.0 (in 2000) to 2.3-fold (in 2030) higher DALYs for influenza; 1.3 (in 2000) to 1.5-fold (in 2030) higher for HBV.
CONCLUSIONS
There are clear, but diverging effects of an ageing population on the estimated disease burden of influenza and HBV in the Netherlands. Replacing static assumptions with a dynamic demographic approach appears essential for deriving realistic burden estimates for informing health policy.
DOI: 10.1186/1471-2458-12-1046
PubMed: 23217094
PubMed Central: PMC3537516
Links to Exploration step
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<author><name sortKey="Van Lier, Alies" sort="Van Lier, Alies" uniqKey="Van Lier A" first="Alies" last="Van Lier">Alies Van Lier</name>
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<author><name sortKey="Kretzschmar, Mirjam Ee" sort="Kretzschmar, Mirjam Ee" uniqKey="Kretzschmar M" first="Mirjam Ee" last="Kretzschmar">Mirjam Ee Kretzschmar</name>
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<author><name sortKey="Kretzschmar, Mirjam Ee" sort="Kretzschmar, Mirjam Ee" uniqKey="Kretzschmar M" first="Mirjam Ee" last="Kretzschmar">Mirjam Ee Kretzschmar</name>
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<term>Hepatitis B (epidemiology)</term>
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<term>Influenza, Human (epidemiology)</term>
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<term>Netherlands (epidemiology)</term>
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<term>Qualitative Research (MeSH)</term>
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<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>For accurate estimation of the future burden of communicable diseases, the dynamics of the population at risk - namely population growth and population ageing - need to be taken into account. Accurate burden estimates are necessary for informing policy-makers regarding the planning of vaccination and other control, intervention, and prevention measures. Our aim was to qualitatively explore the impact of population ageing on the estimated future burden of seasonal influenza and hepatitis B virus (HBV) infection in the Netherlands, in the period 2000-2030.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>Population-level disease burden was quantified using the disability-adjusted life years (DALY) measure applied to all health outcomes following acute infection. We used national notification data, pre-defined disease progression models, and a simple model of demographic dynamics to investigate the impact of population ageing on the burden of seasonal influenza and HBV. Scenario analyses were conducted to explore the potential impact of intervention-associated changes in incidence rates.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Including population dynamics resulted in increasing burden over the study period for influenza, whereas a relatively stable future burden was predicted for HBV. For influenza, the increase in DALYs was localised within YLL for the oldest age-groups (55 and older), and for HBV the effect of longer life expectancy in the future was offset by a reduction in incidence in the age-groups most at risk of infection. For both infections, the predicted disease burden was greater than if a static demography was assumed: 1.0 (in 2000) to 2.3-fold (in 2030) higher DALYs for influenza; 1.3 (in 2000) to 1.5-fold (in 2030) higher for HBV.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>There are clear, but diverging effects of an ageing population on the estimated disease burden of influenza and HBV in the Netherlands. Replacing static assumptions with a dynamic demographic approach appears essential for deriving realistic burden estimates for informing health policy.</p>
</div>
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<ReferenceList><Reference><Citation>Eur J Clin Microbiol Infect Dis. 2000 Nov;19(11):834-42</Citation>
<ArticleIdList><ArticleId IdType="pubmed">11152308</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Epidemiol Infect. 2012 Aug;140(8):1469-80</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22078095</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Semin Liver Dis. 2003 Feb;23(1):47-58</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12616450</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Int J Epidemiol. 2004 Jun;33(3):566-72</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15044415</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Am J Epidemiol. 1987 Jan;125(1):133-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">3098091</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMJ. 1996 Nov 16;313(7067):1241-2</Citation>
<ArticleIdList><ArticleId IdType="pubmed">8939114</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Commun Dis Public Health. 1998 Jun;1(2):89-94</Citation>
<ArticleIdList><ArticleId IdType="pubmed">9644120</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Infect Dis. 1998 Jul;178(1):53-60</Citation>
<ArticleIdList><ArticleId IdType="pubmed">9652423</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Vaccine. 1999 Jul 30;17 Suppl 1:S3-10</Citation>
<ArticleIdList><ArticleId IdType="pubmed">10471173</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Math Biosci. 2004 Dec;192(2):153-75</Citation>
<ArticleIdList><ArticleId IdType="pubmed">15627491</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS Med. 2006 Nov;3(11):e442</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17132052</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Hepatology. 2007 Feb;45(2):507-39</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17256718</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Clin Geriatr Med. 2007 May;23(2):441-56, viii</Citation>
<ArticleIdList><ArticleId IdType="pubmed">17462528</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Euro Surveill. 2007 Dec;12(12):E3-4</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18076860</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Am J Med. 2008 Apr;121(4):258-64</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18374680</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Epidemiol Infect. 2009 Apr;137(4):473-9</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18789176</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Gastroenterology. 2010 Feb;138(2):522-30</Citation>
<ArticleIdList><ArticleId IdType="pubmed">19879275</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Infect Dis. 2010 May 15;201(10):1509-16</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20377412</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>Ned Tijdschr Geneeskd. 2010;154:A1613</Citation>
<ArticleIdList><ArticleId IdType="pubmed">20977793</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Biometrika. 1945 Nov;33:183-212</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21006835</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Eur J Public Health. 2012 Feb;22(1):150-7</Citation>
<ArticleIdList><ArticleId IdType="pubmed">21183472</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS One. 2012;7(2):e31197</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22319616</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>PLoS Med. 2012;9(4):e1001205</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22529750</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>JAMA. 2003 Jan 8;289(2):179-86</Citation>
<ArticleIdList><ArticleId IdType="pubmed">12517228</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
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