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  1. Article ; Online: Exploring the impact of population ageing on the spread of emerging respiratory infections and the associated burden of mortality.

    Møgelmose, Signe / Neels, Karel / Beutels, Philippe / Hens, Niel

    BMC infectious diseases

    2023  Volume 23, Issue 1, Page(s) 767

    Abstract: Background: Increasing 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 ... ...

    Abstract Background: Increasing 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.
    Methods: Using 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.
    Results: As 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.
    Conclusion: Population 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.
    MeSH term(s) Aged ; Humans ; Aging ; Cause of Death ; Communicable Diseases/epidemiology ; Influenza, Human/epidemiology ; Life Expectancy ; SARS-CoV-2
    Language English
    Publishing date 2023-11-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2041550-3
    ISSN 1471-2334 ; 1471-2334
    ISSN (online) 1471-2334
    ISSN 1471-2334
    DOI 10.1186/s12879-023-08657-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Incorporating human dynamic populations in models of infectious disease transmission: a systematic review.

    Møgelmose, Signe / Neels, Karel / Hens, Niel

    BMC infectious diseases

    2022  Volume 22, Issue 1, Page(s) 862

    Abstract: Background: An increasing number of infectious disease models consider demographic change in the host population, but the demographic methods and assumptions vary considerably. We carry out a systematic review of the methods and assumptions used to ... ...

    Abstract Background: An increasing number of infectious disease models consider demographic change in the host population, but the demographic methods and assumptions vary considerably. We carry out a systematic review of the methods and assumptions used to incorporate dynamic populations in infectious disease models.
    Methods: We systematically searched PubMed and Web of Science for articles on infectious disease transmission in dynamic host populations. We screened the articles and extracted data in accordance with the guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).
    Results: We identified 46 articles containing 53 infectious disease models with dynamic populations. Population dynamics were modelled explicitly in 71% of the disease transmission models using cohort-component-based models (CCBMs) or individual-based models (IBMs), while 29% used population prospects as an external input. Fertility and mortality were in most cases age- or age-sex-specific, but several models used crude fertility rates (40%). Households were incorporated in 15% of the models, which were IBMs except for one model using external population prospects. Finally, 17% of the infectious disease models included demographic sensitivity analyses.
    Conclusions: We find that most studies model fertility, mortality and migration explicitly. Moreover, population-level modelling was more common than IBMs. Demographic characteristics beyond age and sex are cumbersome to implement in population-level models and were for that reason only incorporated in IBMs. Several IBMs included households and networks, but the granularity of the underlying demographic processes was often similar to that of CCBMs. We describe the implications of the most common assumptions and discuss possible extensions.
    MeSH term(s) Humans ; Male ; Female ; Communicable Diseases/epidemiology ; Family Characteristics ; Research Design
    Language English
    Publishing date 2022-11-18
    Publishing country England
    Document type Systematic Review ; Journal Article
    ZDB-ID 2041550-3
    ISSN 1471-2334 ; 1471-2334
    ISSN (online) 1471-2334
    ISSN 1471-2334
    DOI 10.1186/s12879-022-07842-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Population age and household structures shape transmission dynamics of emerging infectious diseases: a longitudinal microsimulation approach.

    Møgelmose, Signe / Vijnck, Laurens / Neven, Frank / Neels, Karel / Beutels, Philippe / Hens, Niel

    Journal of the Royal Society, Interface

    2023  Volume 20, Issue 209, Page(s) 20230087

    Abstract: Host population demographics and patterns of host-to-host interactions are important drivers of heterogeneity in infectious disease transmission. To improve our understanding of how population structures and changes therein influence disease transmission ...

    Abstract Host population demographics and patterns of host-to-host interactions are important drivers of heterogeneity in infectious disease transmission. To improve our understanding of how population structures and changes therein influence disease transmission dynamics at the individual and population level, we model a dynamic age- and household-structured population using longitudinal microdata drawn from Belgian census and population registers. At different points in time, we simulate the spread of a close-contact infectious disease and vary the age profiles of infectiousness and susceptibility to reflect specific infections (e.g. influenza and SARS-CoV-2) using a two-level mixing model, which distinguishes between exposure to infection in the household and exposure in the community. We find that the strong relationship between age and household structures, in combination with social mixing patterns and epidemiological parameters, shape the spread of an emerging infection. Disease transmission in the adult population in particular is to a large degree explained by differential household compositions and not just household size. Moreover, we highlight how demographic processes alter population structures in an ageing population and how these in turn affect disease transmission dynamics across population groups.
    MeSH term(s) Adult ; Humans ; Communicable Diseases, Emerging/epidemiology ; Family Characteristics ; Influenza, Human/epidemiology
    Language English
    Publishing date 2023-12-06
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2156283-0
    ISSN 1742-5662 ; 1742-5689
    ISSN (online) 1742-5662
    ISSN 1742-5689
    DOI 10.1098/rsif.2023.0087
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19.

    Willem, Lander / Abrams, Steven / Libin, Pieter J K / Coletti, Pietro / Kuylen, Elise / Petrof, Oana / Møgelmose, Signe / Wambua, James / Herzog, Sereina A / Faes, Christel / Beutels, Philippe / Hens, Niel

    Nature communications

    2021  Volume 12, Issue 1, Page(s) 1524

    Abstract: The COVID-19 pandemic caused many governments to impose policies restricting social interactions. A controlled and persistent release of lockdown measures covers many potential strategies and is subject to extensive scenario analyses. Here, we use an ... ...

    Abstract The COVID-19 pandemic caused many governments to impose policies restricting social interactions. A controlled and persistent release of lockdown measures covers many potential strategies and is subject to extensive scenario analyses. Here, we use an individual-based model (STRIDE) to simulate interactions between 11 million inhabitants of Belgium at different levels including extended household settings, i.e., "household bubbles". The burden of COVID-19 is impacted by both the intensity and frequency of physical contacts, and therefore, household bubbles have the potential to reduce hospital admissions by 90%. In addition, we find that it is crucial to complete contact tracing 4 days after symptom onset. Assumptions on the susceptibility of children affect the impact of school reopening, though we find that business and leisure-related social mixing patterns have more impact on COVID-19 associated disease burden. An optimal deployment of the mitigation policies under study require timely compliance to physical distancing, testing and self-isolation.
    MeSH term(s) Adolescent ; Adult ; Aged ; Aged, 80 and over ; Belgium/epidemiology ; COVID-19/epidemiology ; COVID-19/transmission ; Child ; Child, Preschool ; Communicable Disease Control/methods ; Contact Tracing ; Disease Transmission, Infectious/prevention & control ; Family Characteristics ; Health Policy ; Hospitalization ; Humans ; Infant ; Infant, Newborn ; Middle Aged ; Models, Theoretical ; Pandemics ; Quarantine ; SARS-CoV-2/isolation & purification ; Schools ; Young Adult
    Language English
    Publishing date 2021-03-09
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-021-21747-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19: an individual-based modelling study

    Willem, Lander / Abrams, Steven / Petrof, Oana / Coletti, Pietro / Kuylen, Elise / Libin, Pieter / Mogelmose, Signe / Wambua, James / Herzog, Sereina A / Faes, Christel / SIMID COVID19 team / Beutels, Philippe / Hens, Niel

    medRxiv

    Abstract: Background. The rising COVID-19 pandemic caused many governments to impose policies restricting social interactions. These policies have slowed down the spread of the SARS-CoV-2 virus to the extent that restric- tions can be gradually lifted. Models can ... ...

    Abstract Background. The rising COVID-19 pandemic caused many governments to impose policies restricting social interactions. These policies have slowed down the spread of the SARS-CoV-2 virus to the extent that restric- tions can be gradually lifted. Models can be useful to assess the consequences of deconfinement strategies with respect to business, school and leisure activities. Methods. We adapted the individual-based model "STRIDE" to simulate interactions between the 11 million inhabitants of Belgium at the levels of households, workplaces, schools and communities. We calibrated our model to observed hospital incidence and seroprevalence data. STRIDE can explore contact tracing options and account for repetitive leisure contacts in extended household settings (so called "household bubbles") with varying levels of connectivity. Findings. Household bubbles have the potential to reduce the number of COVID-19 hospital admissions by up to 90%. The effectiveness of contact tracing depends on its timing, as it becomes futile more than 4 days after the index case developed symptoms. Assuming that children have a lower level of susceptibility and lower probability to experience symptomatic SARS-CoV-2 infection, (partial) school closure options have relatively little impact on COVID-19 burden. Interpretation. Not only the absolute number and intensity of physical contacts drive the transmission dynamics and COVID-19 burden, also their repetitiveness is influential. Contact tracing seems essential for a controlled and persistent release of lockdown measures, but requires timely compliance to testing, reporting and self-isolation. Rapid tracing and testing, and communication ensuring continued involvement of the population are therefore essential.
    Keywords covid19
    Language English
    Publishing date 2020-07-02
    Publisher Cold Spring Harbor Laboratory Press
    Document type Article ; Online
    DOI 10.1101/2020.07.01.20144444
    Database COVID19

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