Epidemic evolutionarily stable strategies within an age-structured host population

To understand infectious disease dynamics, we need to understand the inextricably intertwined nature of the ecology and evolution of pathogens and hosts. Epidemiological dynamics of many infectious diseases have highlighted the importance of considering the demographics of the societies in which they spread, particularly with respect to age structure. In addition, the waves of the recent COVID-19 pandemic driven by variant replacements at an unprecedented speed show that it is vital to consider the evolutionary aspects. The classic trade-off theory of virulence addresses aspects of pathogen evolution, but here we explore in more detail the possibility of society-specific evolutionarily stable strategies (ESS) during an unfolding pandemic. Theory posits the existence under some conditions of an ESS representing the evolutionary endpoint of change. By using a demographically realistic model incorporating infection rates that vary with age, we outline which evolutionary scenarios are plausible. Focusing on the rate of infection and duration of infectivity, we ask whether an ESS exists, what characterizes it, and as a result which long-term public-health consequences may be expected. We demonstrate that the ESS of an evolving pathogen depends upon the background age-dependent frailty and mortality rates. Our findings shed important light on the plausible long-term trajectories of highly evolvable novel pathogens.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-03-18
DOI
https://doi.org/10.1073/pnas.2418170122
Citations
2
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
3.63

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article

Epidemic evolutionarily stable strategies within an age-structured host population

Sebastian J. Schreiber, Ottar N. Bjørnstad, Ruiyun Li, Andreas Eilersen et al.
2 citations
Proceedings of the National Academy of Sciences
Evolution and Genetic Dynamics
3.63
article

Epidemic evolutionarily stable strategies within an age-structured host population

Sebastian J. Schreiber, Ottar N. Bjørnstad, Ruiyun Li, Andreas Eilersen, Nils Chr. Stenseth, Zeyuan Pei
article en
2 citations

Abstract

To understand infectious disease dynamics, we need to understand the inextricably intertwined nature of the ecology and evolution of pathogens and hosts. Epidemiological dynamics of many infectious diseases have highlighted the importance of considering the demographics of the societies in which they spread, particularly with respect to age structure. In addition, the waves of the recent COVID-19 pandemic driven by variant replacements at an unprecedented speed show that it is vital to consider the evolutionary aspects. The classic trade-off theory of virulence addresses aspects of pathogen evolution, but here we explore in more detail the possibility of society-specific evolutionarily stable strategies (ESS) during an unfolding pandemic. Theory posits the existence under some conditions of an ESS representing the evolutionary endpoint of change. By using a demographically realistic model incorporating infection rates that vary with age, we outline which evolutionary scenarios are plausible. Focusing on the rate of infection and duration of infectivity, we ask whether an ESS exists, what characterizes it, and as a result which long-term public-health consequences may be expected. We demonstrate that the ESS of an evolving pathogen depends upon the background age-dependent frailty and mortality rates. Our findings shed important light on the plausible long-term trajectories of highly evolvable novel pathogens.

Proceedings of the National Academy of SciencesVol. 122(12)
Roskilde University (DK), Pennsylvania State University (US), University of Oslo (NO), ETH Zurich (CH), Vanke (China) (CN), Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application (CN), Nanjing Medical University (CN), University of California, Davis (US), Nanjing University (CN), Tsinghua University (CN)
National Science Foundation, Danmarks Grundforskningsfond, Eidgenössische Technische Hochschule Zürich, Tsinghua University, NordForsk, Universitetet i Oslo, Norges Forskningsråd, Nanjing Medical University, Nanjing University, Medisinske fakultet, Universitetet i Oslo, HORIZON EUROPE European Research Council
Good health and well-being
Openalex Percentile: Top 9%
Evolution and Genetic Dynamics
3.63
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