The Hybrid Incidence Susceptible-Transmissible-Removed Model for Pandemics

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Ryan Lester Benjamin
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引用次数: 2

Abstract

The susceptible-transmissible-removed (STR) model is a deterministic compartment model, based on the susceptible-infected-removed (SIR) prototype. The STR replaces 2 SIR assumptions. SIR assumes that the emigration rate (due to death or recovery) is directly proportional to the infected compartment’s size. The STR replaces this assumption with the biologically appropriate assumption that the emigration rate is the same as the immigration rate one infected period ago. This results in a unique delay differential equation epidemic model with the delay equal to the infected period. Hamer’s mass action law for epidemiology is modified to resemble its chemistry precursor—the law of mass action. Constructing the model for an isolated population that exists on a surface bounded by the extent of the population’s movements permits compartment density to replace compartment size. The STR reduces to a SIR model in a timescale that negates the delay—the transmissible timescale. This establishes that the SIR model applies to an isolated population in the disease’s transmissible timescale. Cyclical social interactions will define a rhythmic timescale. It is demonstrated that the geometric mean maps transmissible timescale properties to their rhythmic timescale equivalents. This mapping defines the hybrid incidence (HI). The model validation demonstrates that the HI-STR can be constructed directly from the disease’s transmission dynamics. The basic reproduction number (\({\mathcal{R}}_0\)) is an epidemic impact property. The HI-STR model predicts that \({\mathcal{R}}_0 \propto \root \mathfrak{B} \of {\rho_n}\) where \(\rho_n\) is the population density, and \({\mathfrak{B}}\) is the ratio of time increments in the transmissible- and rhythmic timescales. The model is validated by experimentally verifying the relationship. \({\mathcal{R}}_0\)’s dependence on \(\rho_n\) is demonstrated for droplet-spread SARS in Asian cities, aerosol-spread measles in Europe and non-airborne Ebola in Africa.

流行病的混合发生率-易感-传播-去除模型
易感传播移除(STR)模型是一个基于易感感染移除(SIR)原型的确定性隔室模型。STR取代了2个SIR假设。SIR假设移民率(由于死亡或康复)与感染室的大小成正比。STR用生物学上合适的假设取代了这一假设,即移民率与一个感染时期前的移民率相同。这导致了一个独特的延迟微分方程流行病模型,其延迟等于感染期。哈默的流行病学质量作用定律被修改为类似于其化学前身——质量作用定律。为存在于受种群运动范围限制的表面上的孤立种群构建模型,可以使隔间密度取代隔间大小。STR在一个时间尺度上简化为SIR模型,该模型否定了延迟——可传播的时间尺度。这表明SIR模型适用于疾病传播时间尺度上的孤立人群。周期性的社交互动将定义一个有节奏的时间尺度。结果表明,几何平均值将可传递的时间尺度特性映射到它们的韵律时间尺度等价物。该映射定义了混合发病率(HI)。模型验证表明,HI-STR可以直接从疾病的传播动力学中构建。基本繁殖数(\({\mathcal{R}}_0\))是流行病影响性质。HI-STR模型预测了\({\mathcal{R}}_0\proto\root\mathfrak{B}\ of{\rho_n}\),其中\(\rho_n\)是种群密度,\(\ mathfrak{B}})是传播和节律时间尺度中时间增量的比率。通过实验验证了该模型的有效性\({\mathcal{R}}_0)对\(\rho_n\)的依赖性在亚洲城市的飞沫传播SARS、欧洲的气溶胶传播麻疹和非洲的非空气传播埃博拉中得到了证明。
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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