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相关论文: When and How to Lift the Lockdown? Global COVID-19…

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The rapid spread of the Coronavirus SARS-2 is a major challenge that led almost all governments worldwide to take drastic measures to respond to the tragedy. Chief among those measures is the massive lockdown of entire countries and cities,…

We propose two stochastic models for the Coronavirus pandemic. The statistical properties of the models, in particular the correlation functions and the probability density function, have duly been computed. Our models, which generalises a…

医学物理 · 物理学 2020-12-04 Giorgio Sonnino , Fernando Mora , Pasquale Nardone

To reduce the impact of COVID-19 pandemic most countries have implemented several counter-measures to control the virus spread including school and border closing, shutting down public transport and workplace and restrictions on gathering.…

社会与信息网络 · 计算机科学 2020-09-14 Ahmed Ben Said , Abdelkarim Erradi , Hussein Aly , Abdelmonem Mohamed

The current global health emergency triggered by the pandemic COVID-19 is one of the greatest challenges mankind face in this generation. Computational simulations have played an important role to predict the development of the current…

种群与进化 · 定量生物学 2020-06-11 Kok Yew Ng , Meei Mei Gui

Currently, novel coronavirus disease 2019 (COVID-19) is a big threat to global health. The rapid spread of the virus has created pandemic, and countries all over the world are struggling with a surge in COVID-19 infected cases. There are no…

应用统计 · 统计学 2020-09-08 Se Yoon Lee , Bowen Lei , Bani K. Mallick

The outbreak of Coronavirus Disease 2019 (COVID-19) is an ongoing pandemic affecting over 200 countries and regions. Inference about the transmission dynamics of COVID-19 can provide important insights into the speed of disease spread and…

统计方法学 · 统计学 2020-07-06 Tianjian Zhou , Yuan Ji

The Covid-19 outbreak of 2020 has required many governments to develop mathematical-statistical models of the outbreak for policy and planning purposes. This work provides a tutorial on building a compartmental model using Susceptibles,…

应用统计 · 统计学 2020-05-27 Ryad Ghanam , Edward L. Boone , Abdel-Salam G. Abdel-Salam

The coronavirus disease 2019 (COVID-19) pandemic radically impacts our lives, while the transmission/infection and recovery dynamics of COVID-19 remain obscure. A time-dependent Susceptible, Exposed, Infectious, and Recovered (SEIR) model…

种群与进化 · 定量生物学 2020-04-01 Yong Zhang , Xiangnan Yu , HongGuang Sun , Geoffrey R. Tick , Wei Wei , Bin Jin

Decision making in the face of a disaster requires the consideration of several complex factors. In such cases, Bayesian multi-criteria decision analysis provides a framework for decision making. In this paper, we present how to construct a…

应用统计 · 统计学 2021-12-21 Peter Strong , Aditi Shenvi , Xuewen Yu , K. Nadia Papamichail , Henry P Wynn , Jim Q Smith

While COVID-19 has resulted in a significant increase in global mortality rates, the impact of the pandemic on mortality from other causes remains uncertain. To gain insight into the broader effects of COVID-19 on various causes of death,…

应用统计 · 统计学 2024-09-05 Wei Zhang , Antonietta Mira , Ernst C. Wit

The Covid-19 outbreak of 2020 has required many governments to develop and adopt mathematical-statistical models of the pandemic for policy and planning purposes. To this end, this work provides a tutorial on building a compartmental model…

应用统计 · 统计学 2023-09-13 Elizabeth B Amona , Ryad A Ghanam , Edward L Boone , Indranil Sahoo , Laith J Abu-Raddad

Several analytical models have been used in this work to describe the evolution of death cases arising from coronavirus (COVID-19). The Death or `D' model is a simplified version of the SIR (susceptible-infected-recovered) model, which…

种群与进化 · 定量生物学 2020-11-19 J. E. Amaro , J. Dudouet , J. N. Orce

The current COVID-19 pandemic and subsequent lockdowns have highlighted the close and delicate relationship between a country's public health and economic health. Macroeconomic models that use preexisting epidemic models to calculate the…

物理与社会 · 物理学 2020-07-01 Erhan Bayraktar , Asaf Cohen , April Nellis

We propose a general Bayesian approach to modeling epidemics such as COVID-19. The approach grew out of specific analyses conducted during the pandemic, in particular an analysis concerning the effects of non-pharmaceutical interventions…

应用统计 · 统计学 2021-01-01 Samir Bhatt , Neil Ferguson , Seth Flaxman , Axel Gandy , Swapnil Mishra , James A. Scott

The current COVID-19 pandemic is affecting different countries in different ways. The assortment of reporting techniques alongside other issues, such as underreporting and budgetary constraints, makes predicting the spread and lethality of…

种群与进化 · 定量生物学 2021-01-08 L. Tarrataca , C. M. Dias , D. B. Haddad , E. F. Arruda

As the COVID19 spreads across the world, prevention measures are becoming the essential weapons to combat the pandemic in the period of crisis. The lockdown measure is the most controversial one as it imposes an overwhelming impact on our…

物理与社会 · 物理学 2021-02-12 Yuting Fu , Haitao Xiang , Hanqing Jin , Ning Wang

COVID-19 has led to excess deaths around the world, however it remains unclear how the mortality of other causes of death has changed during the pandemic. Aiming at understanding the wider impact of COVID-19 on other death causes, we study…

应用统计 · 统计学 2023-07-13 Wei Zhang , Antonietta Mira , Ernst C. Wit

We propose a simple SIR model in order to investigate the impact of various confinement strategies on a most virulent epidemic. Our approach is motivated by the current COVID-19 pandemic. The main hypothesis is the existence of two…

种群与进化 · 定量生物学 2020-12-30 G. Nakamura , B. Grammaticos , M. Badoual

We present a new mathematical model to explicitly capture the effects that the three restriction measures: the lockdown date and duration, social distancing and masks, and, schools and border closing, have in controlling the spread of…

种群与进化 · 定量生物学 2020-08-25 Liam Dowling Jones , Malik Magdon-Ismail , Laura Mersini-Houghton , Steven Meshnick
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