Realistically, population interactions are heterogeneous with complex networks due to the variability in population demographic characteristics, social patterns, behavioural responses, and movements [ 24, 25].
Each mutant appears in the population at frequency 1/ N. Realistically, population sizes fluctuate and only a subset of cells actively divide.
Currently lacking, however, are prospective studies of interspecific hybrid evolution under different types of selection, using either single clones or, more realistically, populations of hybrid clones, such as one might expect to arise in natural hybrid zones.
Furthermore, quantifying the likely impact of preventive interventions requires rather complex scenario modelling, including specification of realistically achievable population distributions of risk factors, and the timescale of change, as well as the latent periods between exposure and outcome, and the rate of change following modification in exposure level (e.g., Soerjomataram et al, 2010).
However, quantifying the likely impact of preventive interventions requires rather complex scenario modelling, including specification of realistically achievable population distributions of risk factors, and the timescale of change, as well as the latent periods between exposure and outcome, and the rate of change following modification in exposure level.
This enables modeling realistically heterogeneous populations and incorporation of social behavior data in the model.
We sought to develop a realistically complex, population-based prediction tool for FEP, based on precise estimates of epidemiological risk.
The model is based on a proportionally sampled demographically homogenous population realistically dispersed in space.
We have argued that sole analysis of uniparentally inherited genomes, like mtDNA, is not sufficient to delimit species, as it does not realistically reflect the population history [ 41].
8 Specifically, we modify the model slightly to deal more realistically with vector populations that vary in terms of their feeding behaviors.
We might have a small hiatus, there will be a bit of a lull in population, but realistically we are going to end up at about 2,300 to 2,500 people in town.
