A workflow for software development within computational epidemiology
A critical investigation into computational models developed for studying the spread of communicable disease is presented. The case in point is a spatially explicit micromesomacro model for the entire Swedish population built on registry data, thus far used for smallpox and for influenza-like illnesses. The lessons learned from a software development project of more than 100 person months are collected into a check list. The list is intended for use by computational epidemiologists and policy makers, and the workflow incorporating these two roles is described in detail.
workflow computational epidemiology policy making individual-based simulation