New Mathematical model of BIS for influenza A Virus Pattern Prediction

Influenza virus undergoes continuous changes, evolving into different types every year; in fact, there are up to 198subtypes of the influenza virus. Each subtype infects a different animal species and has different levels of infectivity. The infection pattern and time of outbreak of each subtype can be analyzed to predict its infectivity. Conventional approaches involve the use of simple DNA or protein sequencing methods to evaluate the viral toxicity. However, this approach cannot explain complex biological behavior resulting from various interactions. In this study, a new mathematical model was developed to evaluate the central dogma, and the model was used to predict the pandemic, epidemic, or reassortment nature of the virus.