E3SIM: epidemiological-ecological-evolutionary simulation framework for genomic epidemiology.

ABSTRACT: Infectious disease dynamics are driven by the complex interplay of epidemiological, ecological, and evolutionary processes. Accurately modeling these interactions is crucial for understanding pathogen spread and informing public health strategies. However, existing simulators often fail to capture the dynamic interplay between these processes, resulting in oversimplified models that do not fully reflect real-world complexities in which the pathogen's genetic evolution dynamically influences disease transmission. We introduce the epidemiological-ecological-evolutionary simulator (e3SIM), an open-source framework that concurrently models the transmission dynamics and molecular evolution of pathogens within a host population while integrating environmental factors. Using an agent-based, discr

SUBMITTER: Xu P 

PROVIDER: S-EPMC11244936 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature