Modelling practices

Effective modeling practices are essential to ensure that models accurately represent epidemiological systems. Conceptually, this involves selecting appropriate model structures, formulating realistic assumptions, and designing models that capture the essential dynamics of disease transmission and control. Programming aspects encompass the implementation of models using robust and efficient code, leveraging modern software engineering principles such as version control, modularity, and reproducibility. Adhering to best practices in both conceptual design and programming enhances model reliability, facilitates collaboration among researchers, and ensures that simulations and analyses are both accurate and scalable.