Sentence examples for Epidemic forecasting from inspiring English sources

Improved models for epidemic forecasting could be achieved by identifying signature features of epidemic growth, which could inform the design of models of disease spread and reveal important characteristics of the transmission process.

The increasing use of mathematical models for epidemic forecasting has highlighted the importance of designing models that capture the baseline transmission characteristics in order to generate reliable epidemic forecasts.

The increasing use of mathematical models for epidemic forecasting has highlighted the importance of designing reliable models that capture the baseline transmission characteristics of specific pathogens and social contexts.

Hence, the scientific community is devising more creative options to improve disease surveillance and epidemic forecasting.

The effects of El Niño should be taken into account in future epidemic forecasting for public health preparedness.

Thus, there is a need to facilitate short-term epidemic forecasting and to improve scenario-based predictive modeling for the control and prevention of RRV and other MBDs to enhance biosecurity, to better adapt to rapid socioecologic changes, and to minimize the adverse public health impact of these changes.

Specifically, we assess the impact on: 1) goodness of fit, 2) bias on the growth parameter, and 3) the impact on short-term epidemic forecasts.

Our findings indicate that devising transmission models and statistical approaches that more flexibly capture the profile of epidemic growth could lead to enhanced model fit, improved estimates of key transmission parameters, and more realistic epidemic forecasts.

Asked if he thought horrific sights like dead bodies in the streets might have helped exaggerate epidemic forecasts, Dr. Townsend recalled a psychology experiment in which an actor playing a policeman arrests another actor in front of witnesses.

The development of epidemic-forecasting systems is important in the control and prevention of infectious disease.

It is true that dedicated strain-typing facilities to monitor emergence and preponderance of aggressive and non-aggressive strains are almost non-existent here and epidemic-forecasting systems therefore, would be difficult and tough to devise.