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Epidemic models are a valuable tool in the decision making process. Once a mathematical model for an epidemics has been established, the very next step is calculating a mathematical expression for the basic reproductive number, $R_0$, which…

种群与进化 · 定量生物学 2022-09-07 Carlos Hernandez-Suarez , Osval Montesinos Lopez

In this paper we consider epidemic models of directly transmissible SIR (susceptible $\to$ infective $\to$ recovered) and SEIR (with an additional latent class) infections in fully-susceptible populations with a social structure, consisting…

种群与进化 · 定量生物学 2015-12-11 Frank Ball , Lorenzo Pellis , Pieter Trapman

The basic reproduction number ($R_0$) is an epidemiological metric that represents the average number of new infections caused by a single infectious individual in a completely susceptible population. The methodology for calculating this…

代数拓扑 · 数学 2025-12-05 Trevor Reckell , Beckett Sterner , Petar Jevtić

The basic reproduction number, $R_0$ is an important and widely used concept in the study of infectious diseases. We briefly review the recent trend of calculating the average of various $R_0$ estimates in systematic reviews aimed at…

种群与进化 · 定量生物学 2021-12-13 Pratyush K. Kollepara , Joel C. Miller

An important issue in theoretical epidemiology is the epidemic threshold phenomenon, which specify the conditions for an epidemic to grow or die out. In standard (mean-field-like) compartmental models the concept of the basic reproductive…

生物物理 · 物理学 2007-05-23 D. Alves , V. J. Haas , A. Caliri

Accurate epidemic forecasting requires models that account for the layered and heterogeneous nature of real social interactions. The basic reproduction number $\mathcal R_0$ calculated from models that assume homogeneous mixing or…

When controlling an emerging outbreak of an infectious disease it is essential to know the key epidemiological parameters, such as the basic reproduction number $R_0$ and the control effort required to prevent a large outbreak. These…

种群与进化 · 定量生物学 2016-04-18 Pieter Trapman , Frank Ball , Jean-Stéphane Dhersin , Viet Chi Tran , Jacco Wallinga , Tom Britton

In this work, we revisit the basic reproduction rate $\mathcal{R}_{0}$ definition for analysis of epidemic-non-epidemic phases describing the dynamics of the discrete stochastic version of the epidemic $SIR$ model based on the Master…

生物物理 · 物理学 2007-05-23 O. E. Aiello , M. A. A. da Silva

The basic reproduction number $R_0$ is a fundamental quantity in epidemiological modeling, reflecting the typical number of secondary infections that arise from a single infected individual. While $R_0$ is widely known to scientists,…

最优化与控制 · 数学 2022-09-05 Kevin D. Smith , Francesco Bullo

The basic and effective reproduction numbers are widely used metrics for characterizing the dynamics of infectious disease epidemics. However, the interpretation of these numbers is based on the assumption of homogeneous mixing and may not…

种群与进化 · 定量生物学 2026-03-24 Zahra Ghadiri , Jari Saramäki , Takayuki Hiraoka

We propose a novel approach to approximate the basic reproduction number $R_0$ as spectral radius of the Next-Generation Operator in time-periodic population models by characterizing the latter via evolution semigroups. Once birth/infection…

数值分析 · 数学 2025-09-03 Dimitri Breda , Simone De Reggi , Jordi Ripoll

For a heterogeneous host population, the basic reproduction number of an infectious disease, $\cR_0$, is defined as the spectral radius of the next generation operator (NGO). The threshold properties of the basic reproduction number are…

种群与进化 · 定量生物学 2025-04-29 Horst R Thieme

In the framework of population dynamics, the basic reproduction number R_0 is, by definition, the expected number of offspring that an individual has during its lifetime. In constant and time periodic environments it is calculated as the…

偏微分方程分析 · 数学 2026-04-16 Carles Barril , Àngel Calsina , Sílvia Cuadrado , Jordi Ripoll

The basic reproduction number R0 -- the number of individuals directly infected by an infectious person in an otherwise susceptible population -- is arguably the most widely used estimator of how severe an epidemic outbreak can be. This…

种群与进化 · 定量生物学 2016-03-18 Petter Holme , Naoki Masuda

This paper presents a new view of household epidemic models, where the interaction between the households is of mean field type. We thus obtain in the limit of infinitely many households a nonlinear Markov process solution of a McKean -…

概率论 · 数学 2022-10-04 Raphael Forien , Etienne Pardoux

As widely known, the basic reproduction number plays a key role in weighing birth/infection and death/recovery processes in several models of population dynamics. In this general setting, its characterization as the spectral radius of next…

数值分析 · 数学 2020-04-29 Dimitri Breda , Francesco Florian , Jordi Ripoll , Rossana Vermiglio

The basic reproductive number -- $R_0$ -- is one of the most common and most commonly misapplied numbers in public health. Although often used to compare outbreaks and forecast pandemic risk, this single number belies the complexity that…

种群与进化 · 定量生物学 2020-04-15 Laurent Hébert-Dufresne , Benjamin M. Althouse , Samuel V. Scarpino , Antoine Allard

This paper proposes a structural econometric approach to estimating the basic reproduction number ($\mathcal{R}_{0}$) of Covid-19. This approach identifies $\mathcal{R}_{0}$ in a panel regression model by filtering out the effects of…

计量经济学 · 经济学 2023-09-19 Ida Johnsson , M. Hashem Pesaran , Cynthia Fan Yang

Consider a large uniformly mixing dynamic population, which has constant birth rate and exponentially distributed lifetimes, with mean population size $n$. A Markovian SIR (susceptible $\to$ infective $\to$ recovered) infectious disease,…

概率论 · 数学 2015-06-09 Frank Ball , Tom Britton , Pieter Trapman

When an infectious disease strikes a population, the number of newly reported cases is often the only available information that one can obtain during early stages of the outbreak. An important goal of early outbreak analysis is to obtain a…

定量方法 · 定量生物学 2013-05-30 Bahman Davoudi , Babak Pourbohloul , Joel Miller , Rafael Meza , Lauren Ancel Meyers , David J. D. Earn
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