Dozens of diseases in hundreds of countries have sufficient impact to merit surveillance; however, adapting a model from one disease-location context to another can be costly, and resources are often, if not usually, unavailable to do so. Thus,
models should be cheaply adaptable, ideally by simply entering
new incidence data for training. While most published models
afford this flexibility in principle, few have been expressly tested for
this purpose.