Demographic changes and behavioural responses shape vulnerability to infectious disease outbreaks

Demographic shifts are reshaping population age structures worldwide, with implications for infectious disease dynamics. Since contact patterns, susceptibility and infectiousness often vary by age, the risk that pathogen introductions initiate a substantial outbreak depends on the population’s age distribution and associated behavioural characteristics. We develop an age-structured mathematical model to estimate the risk that a single pathogen introduction leads to sustained transmission (the probability of a major outbreak) under long-term demographic transitions, incorporating changes in age-specific contact patterns and behavioural adaptation (specifically, extended workforce participation in an ageing society). Using the Republic of Korea (projected to become the world’s oldest population by 2050) as a case study, we show that population ageing may reduce the probability of a major outbreak due to older individuals’ lower contact rates. However, this effect is attenuated for pathogens with increasing susceptibility or infectiousness with age, and by factors such as later retirement that increase contacts among older individuals. These findings demonstrate that, while outbreak risks are affected by demographic changes, they are further modified by associated behavioural responses, highlighting the importance of accounting for demographic and socio-behavioural context when assessing future infectious disease outbreak risks.

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Publication Details

Journal
PLoS Computational Biology
Published
2026-10-01
DOI
https://doi.org/10.1371/journal.pcbi.1014319
Primary Topic
COVID-19 epidemiological studies
Type
article
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article

Demographic changes and behavioural responses shape vulnerability to infectious disease outbreaks

Robin N. Thompson, William S. Hart, Sung-mok Jung, Eunok Jung et al.
PLoS Computational Biology
COVID-19 epidemiological studies
article

Demographic changes and behavioural responses shape vulnerability to infectious disease outbreaks

Robin N. Thompson, William S. Hart, Sung-mok Jung, Eunok Jung, Abbie Evans, Kyeongah Nah, Karla Bonic-Babic
article en

Abstract

Demographic shifts are reshaping population age structures worldwide, with implications for infectious disease dynamics. Since contact patterns, susceptibility and infectiousness often vary by age, the risk that pathogen introductions initiate a substantial outbreak depends on the population’s age distribution and associated behavioural characteristics. We develop an age-structured mathematical model to estimate the risk that a single pathogen introduction leads to sustained transmission (the probability of a major outbreak) under long-term demographic transitions, incorporating changes in age-specific contact patterns and behavioural adaptation (specifically, extended workforce participation in an ageing society). Using the Republic of Korea (projected to become the world’s oldest population by 2050) as a case study, we show that population ageing may reduce the probability of a major outbreak due to older individuals’ lower contact rates. However, this effect is attenuated for pathogens with increasing susceptibility or infectiousness with age, and by factors such as later retirement that increase contacts among older individuals. These findings demonstrate that, while outbreak risks are affected by demographic changes, they are further modified by associated behavioural responses, highlighting the importance of accounting for demographic and socio-behavioural context when assessing future infectious disease outbreak risks.

PLoS Computational BiologyVol. 22(10)
Seoul National University (KR), National University of Singapore (SG), Konkuk University (KR), University of Oxford (GB), National Institute for Mathematical Sciences (KR), Nagasaki University (JP)
Openalex Percentile: Top 13%
COVID-19 epidemiological studies
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