A simple but complex enough [Formula: see text] -SIR type model to be used with COVID-19 real data. Application to the case of Italy [0.03%]
一个简单的但足够复杂的[公式见正文中文本] SIR类型模型，用于与COVID-19真实数据。意大利案例的应用
A M Ramos,M R Ferrández,M Vela-Pérez et al.
A M Ramos et al.
Since the start of the COVID-19 pandemic in China many models have appeared in the literature, trying to simulate its dynamics. Focusing on modeling the biological and sociological mechanisms which influence the disease spread, the basic re...
Nick James,Max Menzies
Nick James
This paper analyzes the impact of COVID-19 on the populations and equity markets of 92 countries. We compare country-by-country equity market dynamics to cumulative COVID-19 case and death counts and new case trajectories. First, we examine...
Scaling effect in COVID-19 spreading: The role of heterogeneity in a hybrid ODE-network model with restrictions on the inter-cities flow [0.03%]
基于城际流动限制的COVID-19传播规模效应及其网络异质性作用机制研究
José Garcia Vivas Miranda,Mateus Souza Silva,José Gabriel Bertolino et al.
José Garcia Vivas Miranda et al.
The new Covid-19 pandemic has left traces of suffering and devastation to individuals of almost all countries worldwide and severe impact on the global economy. Understanding the clinical characteristics, interactions with the environment, ...
Alberto Gandolfi
Alberto Gandolfi
Learning and education are two of the biggest world issues of the current pandemic. Unfortunately, it is seen in this work that, due to the length of the incubation period of Covid-19, full opening of schools in the Fall of 2020 seems to be...
Apparent scaling of virus surface roughness-An example from the pandemic SARS-nCoV [0.03%]
病毒表面粗糙度的明显标定-以大流行的SARS-nCoV为例
Simanchal Padhy,Vijay P Dimri
Simanchal Padhy
This paper investigates the scaling of the surface roughness of coronavirus, including the SARS-nCoV based on fractal and spectral analyses of their published electron microscopy images. The box-counting fractal dimensions obtained are subj...
New approximations, and policy implications, from a delayed dynamic model of a fast pandemic [0.03%]
具有延迟动态模型的新近似及其政策含义在快速大流行中的应用
C P Vyasarayani,Anindya Chatterjee
C P Vyasarayani
We study an SEIQR (Susceptible-Exposed-Infectious-Quarantined-Recovered) model due to Young et al. (2019) for an infectious disease, with time delays for latency and an asymptomatic phase. For fast pandemics where nobody has prior immunity ...
Predicting the evolution of the COVID-19 epidemic with the A-SIR model: Lombardy, Italy and São Paulo state, Brazil [0.03%]
用A-SIR模型预测COVID-19的流行病发展：意大利伦巴第和巴西圣保罗州的例子
Armando G M Neves,Gustavo Guerrero
Armando G M Neves
The presence of a large number of infected individuals with few or no symptoms is an important epidemiological difficulty and the main mathematical feature of COVID-19. The A-SIR model, i.e. a SIR (Susceptible-Infected-Removed) model with a...
Inversion of a SIR-based model: A critical analysis about the application to COVID-19 epidemic [0.03%]
基于SIR模型的反转：对其在COVID-19流行病应用中的批判性分析
Alessandro Comunian,Romina Gaburro,Mauro Giudici
Alessandro Comunian
Calibration of a SIR (Susceptibles-Infected-Recovered) model with official international data for the COVID-19 pandemics provides a good example of the difficulties inherent in the solution of inverse problems. Inverse modeling is set up in...
Angel Ballesteros,Alfonso Blasco,Ivan Gutierrez-Sagredo
Angel Ballesteros
Any epidemiological compartmental model with constant population is shown to be a Hamiltonian dynamical system in which the total population plays the role of the Hamiltonian function. Moreover, some particular cases within this large class...
Brendan K Beare,Alexis Akira Toda
Brendan K Beare
The first confirmed case of Coronavirus Disease 2019 (COVID-19) in the US was reported on January 21, 2020. By the end of March, 2020, there were more than 180,000 confirmed cases in the US, distributed across more than 2000 counties. We fi...