换一批摘要Mathematical models use mathematical concepts to describe systems. In epidemiology, models try for instance to predict the evolution of the number of infected in the population or the duration of an epidemic. Such models can show how different public health interventions may affect the outcome of the epidemic. A class of existing models consists of ordinary differential equations that are based on the assumption of homogeneous mixing of the population. To be more realistic, we propose herein two discrete models that take into account heterogeneities in the population such as the social activity level of individuals.
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关键词
discrete stochastic modelingCOVID-19numerical simulationdiscrete stochastic modelingCOVID-19numerical simulation
栏目名称
DOI
10.15302/J-QB-022-0292
发布时间
2024-07-26（万方平台首次上网日期，不代表论文的发表时间）
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