Modeling a capital approach to biological risk assessment: An updated overview of the entropic scenario and the outcome of the upcoming microbial and ecological crises

Abstract

Through this review paper we have presented the different applications of computational biology in three different research areas, microbiology, pharmacology and epidemiology.

The use of predictive models in bacteriology is simpler because the variables are well determined and the phenome is almost constant as well as the controlling factors.

In pharmacology the modeling takes two approaches, a linear one and a non-linear one, the difference is only significant between the definitive and continuous chemical reactions.

Modeling in epidemiology remains a challenge for the researcher in the field because the prediction depends on several parameters, ranging from the causative pathogen and its characteristics to the aspects of the impacted population. This diversity creates a wide divergence in the outcomes, which is difficult to estimate and generalize. 

Modeling is a very powerful tool to investigate biological systems, mainly its forecasting and prediction, which helps to overcome potential hazards and risks, in the light of the global warming period and other related environmental damages.

Modeling has demonstrated its importance in finding quick solutions in the shortest time possible and the Corona epidemic is the best proof of this.