mathematical modelling for infectious disease: influenza a (h1n1) quarantine model

Mathematical modeling has become a valuable tool for the analysis of the dynamics of infectious diseaseand the support of control strategies developed in recent years. this work highlights the conceptual ideas andmathematical tools needed for infectious disease modeling. the main convergence of this was on the dynamicsof infectious diseases, the analysis of transmission patterns in various populations, and methods to assess theeffectiveness of control strategies such as hiv, and influenza. the qualitative behavior of the model includespositivity, uniqueness, stability, and the existence of solutions. mathematical models are widely used to evaluatethe effectiveness of influenza disease control strategies.the model equations often require computational toolsand dynamical analysis that play an important role in controlling the disease. the purpose of this article is a briefreview of the se???????????????????????? model. we model the disease as a system of differential equations. results based onsensitivity analysis show that almost all model parameters may contribute to the spread of this virus amongsusceptible, exposed and quarantined individuals. one possible solution suggests that healthcare programs shouldpay more attention to intervention strategies, and people need to self-quarantine which can effectively reduce thedisease.