The phrase "a logistic term" is correct and usable in written English.
It can be used when referring to terminology specific to logistics or the field of logistics in general.
Example: "In our discussion about supply chain management, we frequently encounter a logistic term that describes the process of inventory turnover."
Alternatives: "a logistics term" or "a term related to logistics".
To improve the Malthusian growth model, Verhulst [3] incorporated a logistic term.
In particular, the growth term of the proliferative cell compartment is modeled using a logistic term.
We modeled T cells activation as a logistic term mimicking the global carrying capacity (the K parameter) of immune system [ 25].
For example, if a model has a term that allows one of the state variables to grow exponentially, replacing the term with a logistic term may more realistically capture the initial rapid growth of the state variable, followed by its reaching a long-term stable value.
Finally, the model presented in ref. 17 uses a logistic term (Eq. 11) for the growth component of tumor size progression, in which the tumor saturation size (i.e., the maximal size it can attain) is the baseline size, y 0. This means that after the shrinking effect of the drug diminishes entirely, the tumor will be able to grow until its baseline value.
This second-order attenuation of growth is equivalent to a logistic model, and a possible alternative approach would be to attenuate M(C t, S) according to an explicit logistic term with a carrying capacity.
The differential equation for B includes a standard logistic term α 20 ( 1 − B ( t ) σ ) B ( t ), (4).
In this paper, we study the degenerate logistic equation with a free boundary and general logistic term in higher space dimensions and heterogeneous environment, which is used to describe the spreading of a new or invasive species.
To include the 'Allee effect', we usually replace the logistic term in (1) by a bistable function f 0 ( u ) as follows: f 0 ( u ) = a u ( 1 − u ) ( u − θ ), θ ∈ ( 0, 1 2 ).
The model of Wang et al. is based on a model discussed by Rong and Perelson [1, 5, 6] with the main difference being the addition of a logistic growth term for healthy CD4+ T-cells.
Therefore, the inclusion of both a logistic growth term and latent infection in-host model is more reasonable, and the model would have further influence on the model progression.
