Sentence examples for pandemic modelling from inspiring English sources

Prior to the occurrence of a pandemic, modelling studies have made plausible assumptions about these details.

They used existing data on water flow, surface area, and population for five river catchments in the United Kingdom and 11 in the United States, as well as epidemiological data from a recent flu pandemic model (with two rates of viral spread), to calculate the expected OC concentration in river water during the months after a pandemic breaks loose.

Our flexible model explains multiple waves of influenza by incorporating biological effects that have been overlooked in some earlier pandemic models.

In evidence-based analysis, users of predictive pandemic modeling should be able to critically inspect all material(s) and model(s) embedded in the analytic resources used.

In brief, the pandemic model [ 29] is a stochastic, spatially structured, individual-based discrete time simulation.

In our review, we examined epidemiological, demographical, and social-behavioral parameters of the pandemic models.

Disease epidemic and pandemic modeling is an important and interesting area of study.

Finally, the 2009 pandemic influenza cases were more spatially heterogeneous than those predicted by the pandemic model.

The pandemic model was simulated 10 times for the whole of Great Britain, starting on day 1 seeded with a single infection at a randomly chosen location.

We analyzed the most common epidemiological and demographical parameters that are used in pandemic models, and discussed the need for adequate updating of these parameters during an outbreak.

The problem when influenza pandemic models are challenged with data about past pandemics is that the last pandemics date back so far that they are only of limited value as mobility patterns and contact structures changed vastly.