Application of mathematical models to disease surveillance data can be used to address both scientific hypotheses and disease-control policy questions.

Mathematical modeling has the potential to make significant contributions to the field of epidemiology by enhancing the research process, serving as a tool for communicating findings to policymakers, ...

To facilitate epidemiological reference to mathematical modeling studies including estimation and prediction of HIV-infected individuals in Japan To build up policymaking processes of infectious ...

Predictive models also provide a framework for risk assessment, process control, and optimization, where accurate predictions of the system are required (4). In this article, the authors focus on the ...

The clinically tested effects of the underlying mathematical concepts on sensorimotor control in healthy as well as neurologically impaired humans are presented, along with basic mathematically ...

A mathematical model of a four-stroke spark-ignition engine has been developed for application to dynamic engine control. The model responds to throttle, air/fuel, EGR, spark advance, and load torque ...

Understanding mathematical modeling Mathematical models have been instrumental in understanding the spread and control of infectious diseases for centuries.

UC Irvine researchers have published a model to predict how gun control affects homicide rates.