Exploring the impact of population ageing on the spread of emerging respiratory infections and the associated burden of mortality

被引:3
作者
Mogelmose, Signe [1 ,2 ]
Neels, Karel [2 ]
Beutels, Philippe [3 ,4 ]
Hens, Niel [1 ,3 ]
机构
[1] Hasselt Univ, Data Sci Inst, Interuniv Inst Biostat & Stat Bioinformat, Hasselt, Belgium
[2] Univ Antwerp, Ctr Populat Family & Hlth, Antwerp, Belgium
[3] Univ Antwerp, Vaccine & Infect Dis Inst, Ctr Hlth Econ Res & Modelling Infect Dis, Antwerp, Belgium
[4] Univ New South Wales, Sch Publ Hlth & Community Med, Sydney, Australia
关键词
Demographic change; Population ageing; Disease burden; Infectious disease modelling; Epidemiology; Emerging infectious diseases; DISEASE; INFLUENZA; TRANSMISSION; CARE;
D O I
10.1186/s12879-023-08657-3
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
BackgroundIncreasing life expectancy and persistently low fertility levels have led to old population age structures in most high-income countries, and population ageing is expected to continue or even accelerate in the coming decades. While older adults on average have few interactions that potentially could lead to disease transmission, their morbidity and mortality due to infectious diseases, respiratory infections in particular, remain substantial. We aim to explore how population ageing affects the future transmission dynamics and mortality burden of emerging respiratory infections.MethodsUsing longitudinal individual-level data from population registers, we model the Belgian population with evolving age and household structures, and explicitly consider long-term care facilities (LTCFs). Three scenarios are presented for the future proportion of older adults living in LTCFs. For each demographic scenario, we simulate outbreaks of SARS-CoV-2 and a novel influenza A virus in 2020, 2030, 2040 and 2050 and distinguish between household and community transmission. We estimate attack rates by age and household size/type, as well as disease-related deaths and the associated quality-adjusted life-years (QALYs) lost.ResultsAs the population is ageing, small households and LTCFs become more prevalent. Additionally, families with children become smaller (i.e. low fertility, single-parent families). The overall attack rate slightly decreases as the population is ageing, but to a larger degree for influenza than for SARS-CoV-2 due to differential age-specific attack rates. Nevertheless, the number of deaths and QALY losses per 1,000 people is increasing for both infections and at a speed influenced by the share living in LTCFs.ConclusionPopulation ageing is associated with smaller outbreaks of COVID-19 and influenza, but at the same time it is causing a substantially larger burden of mortality, even if the proportion of LTCF residents were to decrease. These relationships are influenced by age patterns in epidemiological parameters. Not only the shift in the age distribution, but also the induced changes in the household structures are important to consider when assessing the potential impact of population ageing on the transmission and burden of emerging respiratory infections.
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页数:14
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共 81 条
  • [1] Modelling the early phase of the Belgian COVID-19 epidemic using a stochastic compartmental model and studying its implied future trajectories
    Abrams, Steven
    Wambua, James
    Santermans, Eva
    Willem, Lander
    Kuylen, Elise
    Coletti, Pietro
    Libin, Pieter
    Faes, Christel
    Petrof, Oana
    Herzog, Sereina A.
    Beutels, Philippe
    Hens, Niel
    [J]. EPIDEMICS, 2021, 35
  • [2] Comorbidities and covid-19
    Adab, Peymane
    Haroon, Shamil
    O'Hara, Margaret E.
    Jordan, Rachel E.
    [J]. BMJ-BRITISH MEDICAL JOURNAL, 2022, 377
  • [3] Aging, Immunity, and COVID-19: How Age Influences the Host Immune Response to Coronavirus Infections?
    Bajaj, Varnica
    Gadi, Nirupa
    Spihlman, Allison P.
    Wu, Samantha C.
    Choi, Christopher H.
    Moulton, Vaishali R.
    [J]. FRONTIERS IN PHYSIOLOGY, 2021, 11
  • [4] Ball F, 1997, ANN APPL PROBAB, V7, P46
  • [5] The burden of influenza in older adults: meeting the challenge
    Bartoszko, Jessica
    Loeb, Mark
    [J]. AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2021, 33 (03) : 711 - 717
  • [6] Past, Present, and Future of Healthy Life Expectancy
    Beltran-Sanchez, Hiram
    Soneji, Samir
    Crimmins, Eileen M.
    [J]. COLD SPRING HARBOR PERSPECTIVES IN MEDICINE, 2015, 5 (11):
  • [7] The French Connection: The First Large Population-Based Contact Survey in France Relevant for the Spread of Infectious Diseases
    Beraud, Guillaume
    Kazmercziak, Sabine
    Beutels, Philippe
    Levy-Bruhl, Daniel
    Lenne, Xavier
    Mielcarek, Nathalie
    Yazdanpanah, Yazdan
    Boelle, Pierre-Yves
    Hens, Niel
    Dervaux, Benoit
    [J]. PLOS ONE, 2015, 10 (07):
  • [8] Estimates of the reproduction number for seasonal, pandemic, and zoonotic influenza: a systematic review of the literature
    Biggerstaff, Matthew
    Cauchemez, Simon
    Reed, Carrie
    Gambhir, Manoj
    Finelli, Lyn
    [J]. BMC INFECTIOUS DISEASES, 2014, 14
  • [9] Estimating (quality-adjusted) life-year losses associated with deaths: With application to COVID-19
    Briggs, Andrew H.
    Goldstein, Daniel A.
    Kirwin, Erin
    Meacock, Rachel
    Pandya, Ankur
    Vanness, David J.
    Wisloff, Torbjorn
    [J]. HEALTH ECONOMICS, 2021, 30 (03) : 699 - 707
  • [10] Time lines of infection and disease in human influenza: A review of volunteer challenge studies
    Carrat, Fabrice
    Vergu, Elisabeta
    Ferguson, Neil M.
    Lemaitre, Magali
    Cauchemez, Simon
    Leach, Steve
    Valleron, Alain-Jacques
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2008, 167 (07) : 775 - 785