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相关论文: Herd immunity for Covid-19 in homogeneous populati…

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We study a SEIR model considered by Gomes et al. \cite{Gomes2020} and Aguas et al. \cite{Aguas2020} where different individuals are assumed to have different levels of susceptibility or exposure to infection. Under this heterogeneity…

种群与进化 · 定量生物学 2022-05-10 Antonio Montalbán , Rodrigo M. Corder , M. Gabriela M. Gomes

Most countries are suffering severely from the ongoing covid-19 pandemic despite various levels of preventive measures. A common question is if and when a country or region will reach herd immunity $h$. The classical herd immunity level…

种群与进化 · 定量生物学 2020-05-08 Tom Britton , Frank Ball , Pieter Trapman

COVID-19 will be a continuous threat to human population despite having a few vaccines at hand until we reach the endemic state through natural herd immunity and total immunization through universal vaccination. However, the vaccine acts as…

种群与进化 · 定量生物学 2022-08-26 V. R. Saiprasad , R. Gopal , V. K. Chandrasekar , M. Lakshmanan

Herd immunity is a critical concept in epidemiology, describing a threshold at which a sufficient proportion of a population is immune, either through infection or vaccination, thereby preventing sustained transmission of a pathogen. In the…

种群与进化 · 定量生物学 2025-03-03 Gabriel Turinici

We model and calculate the fraction of infected population necessary to reach herd immunity, taking into account the heterogeneity in infectiousness and susceptibility, as well as the correlation between those two parameters. We show that…

种群与进化 · 定量生物学 2021-01-19 Yaron Oz , Ittai Rubinstein , Muli Safra

We study variants of the SEIR model for interpreting some qualitative features of the statistics of the Covid-19 epidemic in France. Standard SEIR models distinguish essentially two regimes: either the disease is controlled and the number…

种群与进化 · 定量生物学 2020-06-25 Jean Dolbeault , Gabriel Turinici

To combat the coronavirus disease 2019 (COVID-19) pandemic, the world has vaccination, plasma therapy, herd immunity, and epidemiological interventions as few possible options. The COVID-19 vaccine development is underway and it may take a…

机器学习 · 计算机科学 2020-08-26 Hanuman Verma , Akshansh Gupta , Utkarsh Niranjan

A quantitative COVID-19 model that incorporates hidden asymptomatic patients is developed, and an analytic solution in parametric form is given. The model incorporates the impact of lockdown and resulting spatial migration of population due…

COVID-19 pandemic has been raging all around the world for almost a year now, as of November 1, 2020. In this paper, we try to analyze the variation of the COVID-19 pandemic in different countries in the light of some modifications to the…

种群与进化 · 定量生物学 2021-09-28 Sourav Chowdhury , Suparna Roychowdhury , Indranath Chaudhuri

A population can be immune to epidemics even if not all of its individual members are immune to the disease, so long as sufficiently many are immune - this is the traditional notion of herd immunity. In the smartphone era a population can…

统计力学 · 物理学 2021-08-24 Vir B. Bulchandani , Saumya Shivam , Sanjay Moudgalya , S. L. Sondhi

We generalize the Susceptible-Infected-Removed model for epidemics to take into account generic effects of heterogeneity in the degree of susceptibility to infection in the population. We introduce a single new parameter corresponding to a…

种群与进化 · 定量生物学 2021-01-27 Jonas Neipel , Jonathan Bauermann , Stefano Bo , Tyler Harmon , Frank Jülicher

We study the influence of the rate of the attainment of herd immunity (HI), in the absence of an approved vaccine, on the vulnerable population. We essentially ask the question: how hard the evolution towards the desired herd immunity could…

种群与进化 · 定量生物学 2020-06-01 Sayantan Mondal , Saumyak Mukherjee , Biman Bagchi

Population-wide vaccination is critical for containing the SARS-CoV-2 (Covid-19) pandemic when combined with restrictive and prevention measures. In this study, we introduce SAIVR, a mathematical model able to forecast the Covid-19 epidemic…

种群与进化 · 定量生物学 2022-01-19 Mattia Angeli , Georgios Neofotistos , Marios Mattheakis , Efthimios Kaxiras

The aim of this study is to propose a modified Susceptible-Exposed-Infectious-Removed (SEIR) model that describes the behaviour of symptomatic, asymptomatic and hospitalized patients of COVID-19 epidemic, including the effect of demographic…

In this paper, we conduct mathematical and numerical analyses to address the following crucial questions for COVID-19: (Q1) Is it possible to contain COVID-19? (Q2) When will be the peak and the end of the epidemic? (Q3) How do the…

种群与进化 · 定量生物学 2020-09-22 Yi-Cheng Chen , Ping-En Lu , Cheng-Shang Chang , Tzu-Hsuan Liu

I employ a simple mathematical model of an epidemic process to evaluate how four basic quantities: the reproduction number (R), the numbers of sensitive (S) and infectious individuals(I), and total community size (N) affect strategies to…

种群与进化 · 定量生物学 2020-05-08 Michael E. Hochberg

I estimate the Susceptible-Infected-Recovered (SIR) epidemic model for Coronavirus Disease 2019 (COVID-19). The transmission rate is heterogeneous across countries and far exceeds the recovery rate, which enables a fast spread. In the…

种群与进化 · 定量生物学 2020-03-27 Alexis Akira Toda

The goal of this work is to consider widespread use of face masks as a non-pharmaceutical control strategy for the Covid-19 pandemic. A SEIR model that divides the population into individuals that wear masks and those that do not is…

种群与进化 · 定量生物学 2021-02-03 João A. M. Gondim

Here we show that herd immunity is not a measure we can implement, trust, control or depend on, and that waiting for herd immunity to play a role is tantamount to hope for the best. Herd immunity is not some protection, as it has been…

种群与进化 · 定量生物学 2022-09-22 Carlos Hernandez-Suarez

The COVID-19 pandemic, caused by the coronavirus SARS-CoV-2, has led to a wide range of non-pharmaceutical interventions being implemented around the world to curb transmission. However, the economic and social costs of some of these…

定量方法 · 定量生物学 2022-04-29 Cameron A. Smith , Christian A. Yates , Ben Ashby
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