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Restricted gene flow between the two major IYSV genotypes further emphasizes the role of genetic drift in modeling the population architecture, evolutionary lineage and epidemiology of IYSV.
The transmission dynamics of an infectious disease is described by modeling the population movements among those epidemiological compartments.
To study the population growth in OSNs, we first illustrate the basic approach of modeling the population growth in spatiotemporal dimension.
In particular, the spreading of a transmissible disease can be studied by modeling the population as a network of individuals, in which an edge is placed between two individuals if there is the possibility of transmission between them.
Consequently, I opted for modeling the population dynamics of V. cholerae in the water in the simplest way possible, i.e., with density independent growth and death rates.
To account for these issues, we took the conservative approach suggested by our simulation results by modeling the population size to be constant and at 1 million individuals.
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To model the population growth in OSNs, one important aspect is to understand the growth of populated locations.
Here, we physically model the population dynamics of microbes that compete for steadily supplied resources.
It is hard to approach this with probability theory because the results will be entirely dependent on the distribution used to model the population.
Further research also needs to be done to model the population distribution in space and time.
This distribution was applied to model the population frequencies of species and the estimation of population parameters.
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