Various tools and methods are used in participatory modelling, at different stages of the
process and for different purposes. The diversity of tools and methods can create challenges …

Modeling is a crucial approach for understanding the past and exploring the future of
coupled human-natural systems. However, uncertainty in various forms challenges …

A wide range of research has promised new tools for forecasting infectious disease
dynamics, but little of that research is currently being applied in practice, because tools do …

Plain language summary Policy problems are complex and not amenable to simple
solutions. Gone are the old stories of elite analysts showing a powerful central government …

Existing compartmental mathematical modelling methods for epidemics, such as SEIR
models, cannot accurately represent effects of contact tracing. This makes them …

Epidemiological models have played a central role in the COVID-19 pandemic, particularly
when urgent decisions were required and available evidence was sparse. They have been …

Creating statistical models that generate accurate predictions of infectious disease
incidence is a challenging problem whose solution could benefit public health decision …

Background Many investment cases have recently been published intending to show the
value of new health investments, but without consistent methodological approaches …

We developed a COVID-19 transmission model used as part of RAND's web-based COVID-
19 decision support tool that compares the effects of nonpharmaceutical public health …

Biometrics and biometric-enabled decision support systems (DSS) have become a
mandatory part of complex dynamic systems such as security checkpoints, personal health …