Why is Asymmetry Important in Epidemiological Models?
Incorporating asymmetry into epidemiological models is essential for their accuracy and reliability. Models that fail to consider asymmetrical factors may underestimate or overestimate the spread of diseases. For instance, during the COVID-19 pandemic, regions with high population density and poor healthcare infrastructure saw disproportionately higher infection rates, which necessitated tailored intervention strategies.
