Erlang-Distributed SEIR Epidemic Models with Cross-Diffusion

We explore the effects of cross-diffusion dynamics in epidemiological models. Using reaction–diffusion models infectious disease, we explicitly consider situations where an individual a category will move according to concentration individuals other categories. Namely, model susceptible moving away from infected and individuals. Here, show that including these results delay onset epidemic increase total number This representation provides more realistic spatiotemporal disease classes Erlang SEIR allows us study how spatial mobility, due social behavior, can affect spread epidemic. found tailored control measures, such as targeted testing, contact tracing, isolation individuals, be effective mitigating diseases while minimizing negative impact on society economy.