Gandolfi Alberto, Pugliese Andrea, Sinisgalli Carmela
Istituto di Analisi dei Sistemi ed Informatica "A. Ruberti", CNR, Viale Manzoni 30, 00185 , Rome, Italy,
J Math Biol. 2015 Feb;70(3):399-435. doi: 10.1007/s00285-014-0769-8. Epub 2014 Mar 4.
This paper proposes an approach for building epidemiological models that incorporate the intra-host pathogen-immunity dynamics. The infected population is structured in terms of pathogen load and level of immunity, and the initial infection load may depend on the load of the individual from whom the infection is acquired. In particular, we focus on the case in which the initial inoculum is taken proportional to the load of the infectant. Possible reinfections are disregarded. Such an approach is applied to formulate an epidemic model with isolation in a closed population by introducing a specific intra-host dynamics. A numerical scheme for the solution of model equations is developed, and some numerical results illustrating the role of the initial inoculum, of the isolation threshold and of the pathogen dynamics on the epidemic evolution are presented. From the simulations the distributions of latency, infectivity, and isolation times can be also derived; however the predictions of the present models differ qualitatively from those of traditional SEIHR models with distributed latency, infectivity and isolation periods.
本文提出了一种构建流行病学模型的方法,该模型纳入了宿主体内病原体 - 免疫动力学。受感染人群根据病原体载量和免疫水平进行划分,初始感染载量可能取决于感染源个体的载量。特别地,我们关注初始接种量与感染源载量成比例的情况。不考虑可能的再次感染。通过引入特定的宿主体内动力学,将这种方法应用于在封闭人群中制定一个带有隔离措施的流行病模型。开发了用于求解模型方程的数值格式,并给出了一些数值结果,这些结果说明了初始接种量、隔离阈值和病原体动力学在疫情演变中的作用。从模拟中还可以得出潜伏期、传染性和隔离时间的分布;然而,当前模型的预测在定性上与具有分布潜伏期、传染性和隔离期的传统SEIHR模型不同。