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相关论文: Why are most COVID-19 infection curves linear?

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We consider the pandemic spreading of COVID-19 for some selected countries after the outbreak of the coronavirus in Wuhan City, China. We estimated the infection rate and the initial infected individuals of COVID-19 by using the officially…

In this paper, we provide insights on how much testing and social distancing is required to control COVID-19. To this end, we develop a compartmental model that accounts for key aspects of the disease: 1) incubation time, 2) age-dependent…

This paper extends the canonical model of epidemiology, SIRD model, to allow for time varying parameters for real-time measurement of the stance of the COVID-19 pandemic. Time variation in model parameters is captured using the generalized…

种群与进化 · 定量生物学 2021-02-11 Cem Cakmakli , Yasin Simsek

We revisit well-established concepts of epidemiology, the Ising-model, and percolation theory. Also, we employ a spin $S$ = 1/2 Ising-like model and a (logistic) Fermi-Dirac-like function to describe the spread of Covid-19. Our analysis…

种群与进化 · 定量生物学 2021-04-28 Isys F. Mello , Lucas Squillante , Gabriel O. Gomes , Antonio C. Seridonio , M. de Souza

While several non-pharmacological measures have been implemented for a few months in an effort to slow the coronavirus disease (COVID-19) pandemic in the United States, the disease remains a danger in a number of counties as restrictions…

物理与社会 · 物理学 2021-04-06 Chao Fan , Xiangqi Jiang , Ronald Lee , Ali Mostafavi

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 growing literature on the propagation of COVID-19 relies on various dynamic SIR-type models (Susceptible-Infected-Recovered) which yield model-dependent results. For transparency and ease of comparing the results, we introduce a common…

种群与进化 · 定量生物学 2020-06-19 Christian Gourieroux , Joann Jasiak

The number of corona virus (COVID-19) infections grows worldwide. In order to create short term predictions to prepare for the extent of the global pandemic we analyze infection data from the top 25 affected countries. It is shown that all…

物理与社会 · 物理学 2020-03-27 H. M. Singer

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

COVID-19--a viral infectious disease--has quickly emerged as a global pandemic infecting millions of people with a significant number of deaths across the globe. The symptoms of this disease vary widely. Depending on the symptoms an…

种群与进化 · 定量生物学 2020-07-23 Madhab Barman , Snigdhashree Nayak , Manoj K. Yadav , Soumyendu Raha , Nachiketa Mishra

We studied the COVID-19 pandemic evolution in selected African countries. For each country considered, we modeled simultaneously the data of the active, recovered and death cases. In this study, we used a year of data since the first cases…

Anticipating the quantity of new associated or affirmed cases with novel coronavirus ailment 2019 (COVID-19) is critical in the counteraction and control of the COVID-19 flare-up. The new associated cases with COVID-19 information were…

机器学习 · 计算机科学 2021-06-25 Tushar Sarkar , Umang Patel , Rupali Patil

Contact Tracing (CT) is one of the measures taken by government and health officials to mitigate the spread of the novel coronavirus. In this paper, we investigate its efficacy by developing a compartmental model for assessing its impact on…

种群与进化 · 定量生物学 2021-11-23 T. A. Biala , Y. O. Afolabi , A. Q. M. Khaliq

In this paper, we study the effectiveness of the modelling approach on the pandemic due to the spreading of the novel COVID-19 disease and develop a susceptible-infected-removed (SIR) model that provides a theoretical framework to…

种群与进化 · 定量生物学 2020-08-26 Ian Cooper , Argha Mondal , Chris G. Antonopoulos

Timely prediction of the COVID-19 progression is not possible without a comprehensive understanding of environmental factors that may affect the infection transmissibility. Studies addressing parameters that may influence COVID-19…

种群与进化 · 定量生物学 2021-03-30 Igor Salom , Andjela Rodic , Ognjen Milicevic , Dusan Zigic , Magdalena Djordjevic , Marko Djordjevic

We propose a stochastic SIR model, specified as a system of stochastic differential equations, to analyse the data of the Italian COVID-19 epidemic, taking also into account the under-detection of infected and recovered individuals in the…

种群与进化 · 定量生物学 2021-02-22 Sara Pasquali , Antonio Pievatolo , Antonella Bodini , Fabrizio Ruggeri

We study the spread of discrete-time epidemics over arbitrary networks for well-known propagation models, namely SIS (susceptible-infected-susceptible), SIR (susceptible-infected-recovered), SIRS (susceptible-infected-recovered-susceptible)…

社会与信息网络 · 计算机科学 2016-10-03 Navid Azizan Ruhi , Hyoung Jun Ahn , Babak Hassibi

The ongoing novel coronavirus epidemic has been announced a pandemic by the World Health Organization on March 11, 2020, and the Govt. of India has declared a nationwide lockdown from March 25, 2020, to prevent community transmission of…

种群与进化 · 定量生物学 2020-08-26 Subhas Khajanchi , Kankan Sarkar

The recent outbreak of COVID-19 in Mainland China is characterized by a distinctive algebraic, sub-exponential increase of confirmed cases during the early phase of the epidemic, contrasting an initial exponential growth expected for an…

种群与进化 · 定量生物学 2020-05-12 Benjamin F. Maier , Dirk Brockmann

Here we propose and implement a generalized mathematical model to find the time evolution of population in infectious diseases and apply the model to study the recent COVID-19 pandemic. Our model at the core is a non-local generalization of…

种群与进化 · 定量生物学 2020-05-01 Saumyak Mukherjee , Sayantan Mondal , Biman Bagchi