👉 The `library.infection` library is a Python package designed to provide a comprehensive set of tools for managing and simulating infectious disease dynamics. It offers functionalities for modeling various pathogens, including their transmission rates, incubation periods, and recovery times, allowing researchers and epidemiologists to create detailed simulations of disease spread within populations. The library supports multiple infection models, such as the SIR (Susceptible-Infected-Recovered) model, SEIR (Susceptible-Exposed-Infected-Recovered), and others, making it versatile for studying different scenarios. Additionally, it includes utilities for parameter estimation, data visualization, and integration with other scientific computing libraries, facilitating robust and efficient research in infectious disease modeling.
