Sentence examples for epidemic process from inspiring English sources

Nodes stop the epidemic process is based on a timer.

But the caveat should be considered that this 'inevitability' holds as long as the world strictly follows the underlying mathematical model of the epidemic process.

Global stability of an equilibrium point in this case may be described as 'the inevitable fate of the epidemic process regardless of its starting situation'.

First, we utilize the susceptible infected recovered model of epidemic theory to estimate the amount of relay node (epidemic equilibrium) and the delivery delay within the epidemic process.

Nodes would predict the time when the forwarding scheme would transfer to many to one scheme, this special is the timer to stop the epidemic process.

The basis underlying this earthquake forecasting method is the popular concept of epidemic process: every earthquake is regarded as a potential triggering event for subsequent earthquakes (Ogata, 1988, 1998; Helmstetter et al., 2006; Lombardi and Marzocchi, 2007) on different spatio-temporal scales.

The final goal is not only to understand epidemic processes and predict their behavior, but also to control their dynamics [32].

We then address the issue of using such down-sampled co-presence data in data-driven simulations of epidemic processes, and in identifying efficient containment strategies.

The scientific community recently recognized that one of the challenges in the modelling of social and epidemic processes is the assimilation of geolocalized data, and the construction of hybrid models combining metapopulation and network models with individual traces [32, 33].

The complex systems paradigm has led to advances in landscape ecology, including a deeper understanding of the dynamics of spatial pattern formation, habitat fragmentation, epidemic processes, and genetic variation.

These results mean in particular that the distribution of aggregate contact durations, a very important property that has a strong impact on the unfolding of processes on networks such as epidemic processes, could be approximately retrieved from simple sampling processes of the co-presence data and thus fed into data-driven models of populations.