TY - JOUR
T1 - The implications of host–pathogen co-evolutionary outcomes on macro-epidemics based on a combined-host strategy
AU - Liu, Qiutong
AU - Xiao, Yanni
AU - Smith, Stacey R.
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to the Society for Mathematical Biology 2025.
PY - 2025/10
Y1 - 2025/10
N2 - Host defense and pathogen virulence interact and mutually shape each other’s evolution. Host–pathogen co-evolutionary outcomes have potentially significant impacts on population dynamics and vice versa. To investigate host–pathogen interactions and explore the impact of micro-level co-evolutionary outcomes on macro-level epidemics, we develop a co-evolutionary model with a combined host-defense strategy. Our results illustrate that host–pathogen co-evolution may induce infection cycling and lead to the vanishing of the disease-induced hydra effect, whereas pathogen mono-evolution strengthens the hydra effect in both range and magnitude. As the recovery rate increases, we find a counter-intuitive effect of increased disease prevalence due to host–pathogen co-evolution: the disease is first highly infectious and lethal, then highly infectious but with low lethality. Such diverse outcomes suggest that this combined co-evolutionary and epidemiological framework holds great promise for a better understanding of infection.
AB - Host defense and pathogen virulence interact and mutually shape each other’s evolution. Host–pathogen co-evolutionary outcomes have potentially significant impacts on population dynamics and vice versa. To investigate host–pathogen interactions and explore the impact of micro-level co-evolutionary outcomes on macro-level epidemics, we develop a co-evolutionary model with a combined host-defense strategy. Our results illustrate that host–pathogen co-evolution may induce infection cycling and lead to the vanishing of the disease-induced hydra effect, whereas pathogen mono-evolution strengthens the hydra effect in both range and magnitude. As the recovery rate increases, we find a counter-intuitive effect of increased disease prevalence due to host–pathogen co-evolution: the disease is first highly infectious and lethal, then highly infectious but with low lethality. Such diverse outcomes suggest that this combined co-evolutionary and epidemiological framework holds great promise for a better understanding of infection.
KW - Host–pathogen co-evolution
KW - Hydra effect
KW - Infection cycling
KW - Transmission patterns
UR - https://www.scopus.com/pages/publications/105015568360
U2 - 10.1007/s11538-025-01517-y
DO - 10.1007/s11538-025-01517-y
M3 - 文章
C2 - 40928557
AN - SCOPUS:105015568360
SN - 0092-8240
VL - 87
JO - Bulletin of Mathematical Biology
JF - Bulletin of Mathematical Biology
IS - 10
M1 - 148
ER -