摘要 In this work we consider every individual of a 族群

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論文資訊

• 類型：已發表論文
• 日期：2010

摘要

In this work we consider every individual of a 族群 to be a server whose state can be either busy (infected) or idle (susceptible). This server approach allows to consider a general distribution for the duration of the infectious state, instead of being restricted to exponential distributions. In order to achieve this we first derive new approximations toquasistationary distribution (QSD) of SIS (Susceptible-Infected-Susceptible) and SEIS (Susceptible- Latent- Infected- Susceptible) 隨機 流行病學c models. We give an expression that relates the basic reproductive number, R-0 and the serverutilization, rho.

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