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相关论文: COVID-19 epidemic outcome predictions based on log…

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The generalized logistic equation is used to interpret the COVID-19 epidemic data in several countries: Austria, Switzerland, the Netherlands, Italy, Turkey and South Korea. The model coefficients are calculated: the growth rate and the…

种群与进化 · 定量生物学 2021-02-03 Efim Pelinovsky , Andrey Kurkin , Oxana Kurkina , Maria Kokoulina , Anastasia Epifanova

The coronavirus disease 2019 (COVID-19) has become a public health emergency of international concern affecting more than 200 countries and territories worldwide. As of September 30, 2020, it has caused a pandemic outbreak with more than 33…

种群与进化 · 定量生物学 2020-10-13 Tanujit Chakraborty , Indrajit Ghosh , Tirna Mahajan , Tejasvi Arora

We model the COVID-19 coronavirus epidemic in China. We use early reported case data to predict the cumulative number of reported cases to a final size. The key features of our model are the timing of implementation of major public policies…

种群与进化 · 定量生物学 2020-02-28 Zhihua Liu , Pierre Magal , Ousmane Seydi , Glenn Webb

This contribution analyzes the COVID-19 outbreak by comparably simple mathematical and numerical methods. The final goal is to predict the peak of the epidemic outbreak per country with a reliable technique. This is done by an algorithm…

物理与社会 · 物理学 2020-05-15 Robert Schaback

While COVID-19 is rapidly propagating around the globe, the need for providing real-time forecasts of the epidemics pushes fits of dynamical and statistical models to available data beyond their capabilities. Here we focus on statistical…

种群与进化 · 定量生物学 2020-06-08 Tommaso Alberti , Davide Faranda

Norden E. Huang, Fangli Qiao and Ka Kit Tung presented a data-driven model for the COVID-19 epidemic in which the relevant functions depend on a set of seven parameters obtained from a statistical analysis of the available data. These…

物理与社会 · 物理学 2020-08-17 Charles Horvath

Accurate forecasts of COVID-19 is central to resource management and building strategies to deal with the epidemic. We propose a heterogeneous infection rate model with human mobility for epidemic modeling, a preliminary version of which we…

种群与进化 · 定量生物学 2020-05-06 Ajitesh Srivastava , Viktor K. Prasanna

Coronavirus outbreak is one of the most challenging pandemics for the entire human population of the planet Earth. Techniques such as the isolation of infected persons and maintaining social distancing are the only preventive measures…

社会与信息网络 · 计算机科学 2020-09-01 Rahul Mishra , Hari Prabhat Gupta , Tanima Dutta

Started in Wuhan, China, the COVID-19 has been spreading all over the world. We calibrate the logistic growth model, the generalized logistic growth model, the generalized Richards model and the generalized growth model to the reported…

种群与进化 · 定量生物学 2020-09-24 Ke Wu , Didier Darcet , Qian Wang , Didier Sornette

In this paper, based on the Akaike information criterion, root mean square error and robustness coefficient, a rational evaluation of various epidemic models/methods, including seven empirical functions, four statistical inference methods…

种群与进化 · 定量生物学 2021-09-16 Wuyue Yang , Dongyan Zhang , Liangrong Peng , Changjing Zhuge , Liu Hong

The objective of this work is to predict the spread of COVID-19 starting from observed data, using a forecast method inspired by probabilistic weather prediction systems operational today. Results show that this method works well for China:…

应用统计 · 统计学 2020-03-31 Roberto Buizza

Some ideas are presented about the physical motivation of the apparent capacity of generalized logistic equations to describe the outbreak of the COVID-19 infection, and in general of quite many other epidemics. The main focuses here are:…

种群与进化 · 定量生物学 2020-04-13 Massimo Materassi

A new coronavirus disease, called COVID-19, appeared in the Chinese region of Wuhan at the end of last year; since then the virus spread to other countries, including most of Europe. We propose a differential equation governing the…

种群与进化 · 定量生物学 2020-09-15 Giorgio Sonnino , Pasquale Nardone

The advent of the COVID-19 pandemic has instigated unprecedented changes in many countries around the globe, putting a significant burden on the health sectors, affecting the macro economic conditions, and altering social interactions…

物理与社会 · 物理学 2020-07-23 Dmitry Gordeev , Philipp Singer , Marios Michailidis , Mathias Müller , SriSatish Ambati

We propose a deterministic SAIVRD model and a stochastic SARV model of the epidemic COVID-19 involving asymptomatic infections and vaccinations to conduct data forecasts using time-dependent parameters. The forecast by our deterministic…

种群与进化 · 定量生物学 2022-09-28 Bo-Sheng Chen , Zong-Ying Wu , Yen-Jia Chen , Jann-Long Chern

The COVID-19 crisis has shown that we can only prevent the risk of mass contagion through timely, large-scale, coordinated, and decisive actions. However, frequently the models used by experts [from whom decision-makers get their main…

应用统计 · 统计学 2021-03-08 Mauricio Herrera

Millions of people have been infected and lakhs of people have lost their lives due to the worldwide ongoing novel Coronavirus (COVID-19) pandemic. It is of utmost importance to identify the future infected cases and the virus spread rate…

物理与社会 · 物理学 2021-05-04 Naresh Kumar , Seba Susan

The ongoing pandemic of Coronavirus disease (COVID-19) emerged in Wuhan, China in the end of 2019. It has already affected more than 300,000 people, with the number of deaths nearing 13000 across the world. As it has been posing a huge…

应用统计 · 统计学 2020-03-25 Soudeep Deb , Manidipa Majumdar

The widely spread CoronaVirus Disease (COVID)-19 is one of the worst infectious disease outbreaks in history and has become an emergency of primary international concern. As the pandemic evolves, academic communities have been actively…

The ongoing COVID-19 pandemic is challenging every part of society. From a scientific point of view the first major task is to predict the dynamics of the pandemic, allowing governments to allocate proper resources and measures to fight it,…

种群与进化 · 定量生物学 2020-09-29 Heinrich Stolz , Dirk Semkat , Peter Grünwald
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