Mathematical modeling of viral epidemics: A review

P. Shil
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引用次数: 7

Abstract

Mathematical models to describe transmission and propagation of diseases have gained momentum over the last hundred years. Formulated mathematical models are currently applied to understandthe epidemiology of various diseases including viral diseases viz Influenza, SARS, measles, etc. With the emergence of advanced computing tools, designing mathematical models and generating simulations (numerical solutions) have become feasible. There is an enormous scope for using mathematical models in studying epidemiology of viral diseases through transmission dynamics of outbreaks and in evaluating or predicting the effects of interventions and vaccinations. The influenza pandemic of 2009 and the recent Ebola epidemics of 2014-15 have generated renewed interest in mathematical modelling of epidemics. Here we present a review of the various mathematical models and their applications in the study of virus driven epidemics.
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病毒流行的数学建模:综述
描述疾病传播和传播的数学模型在过去的一百年里得到了发展。制定的数学模型目前用于了解各种疾病的流行病学,包括病毒性疾病,如流感,SARS,麻疹等。随着先进计算工具的出现,设计数学模型和生成仿真(数值解)已经变得可行。在通过疫情的传播动态研究病毒性疾病的流行病学以及评价或预测干预措施和接种疫苗的效果方面,使用数学模型的范围很大。2009年的流感大流行和最近2014- 2015年的埃博拉疫情重新引起了人们对流行病数学建模的兴趣。本文综述了各种数学模型及其在病毒驱动流行病研究中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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