Sentence examples for evolution epidemics from inspiring English sources

Power law behaviour in physics, ecology, evolution, epidemics and neurobiology has also been described and reviewed [ 77].

Recently, mathematical epidemic models in discrete time have been established to describe the dynamical evolution of epidemics.

He is particularly interested in integrating bioinformatics with mathematical modeling in order to understand the evolution and epidemics of infectious diseases.

They show that the invasion trees and spatio-temporal evolution of epidemics are similar in both census and mobile phone extracted networks of commuters (see Figure 23).

Understanding the evolution of epidemics, therefore, can lead to essential changes in the criteria for disease and quarantine control.

There is an urgent need to understand how the provision of information influences individual risk perception and how this in turn shapes the evolution of epidemics.

Moreover, if combined with appropriate dynamic mathematical modelling, our results could be used to generate predictions for the time evolution of epidemics.

Key among them is an important theme in the theory of evolution of epidemics competition among strains of a rapidly evolving virus can produce an equilibrium in which the predominant strain is less virulent and slower to travel than the strain that predominated at the onset of the epidemic [ 43– 43].

Klein et al., [ 15] noted that much more research is needed to understand how provision of information influences individual risk perception and how it shapes the evolution of epidemics; for example, individuals may overprotect, which can have additional consequences for the spread of disease.

Understanding the evolution of epidemics ensures that the full spectrum of genetic variability of the pathogen population is captured or represented when screening against genetic host tolerance, fungicide sensitivity, or any research application where pathogen diversity is relevant to the outcome of any proposed intervention strategy.

We estimate SFTSV's date of origin, rate of evolution and epidemic history, and test for the presence of viral recombination and reassortment.