Manuscript Topics

Mathematical dynamic models based on differential equations provide a quantitative framework with which scientists can assess hypotheses on the potential underlying mechanisms that explain dynamics in observed data at different spatial and temporal scales, estimate key model parameters, assess the impact of interventions, and generate forecasts.

This special issue will cover a broad range of quantitative studies that make use of mathematical and statistical methods for calibrating mathematical or statistical models to time series data. Contributions will rely on phenomenological, mechanistic or hybrid models and deal with issues relating to inverse problem methodologies, parameter identifiability, uncertainty quantification, regularization methods or forecasting approaches.

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