The power of weak, transient interactions across biology: A paradigm of emergent behavior [0.03%]
贯穿生物系统的弱瞬时相互作用的力量：一种涌现行为的范式
Paula A Vasquez,Ben Walker,Kerry Bloom et al.
Paula A Vasquez et al.
A growing list of diverse biological systems and their equally diverse functionalities provides realizations of a paradigm of emergent behavior. In each of these biological systems, pervasive ensembles of weak, short-lived, spatially local ...
Daniel A Messenger,David M Bortz
Daniel A Messenger
We develop a weak-form sparse identification method for interacting particle systems (IPS) with the primary goals of reducing computational complexity for large particle number N and offering robustness to either intrinsic or extrinsic nois...
Analysis of the spread of SARS-CoV-2 in a hospital isolation room using CFD and Lagrangian Coherent Structures [0.03%]
基于计算流体动力学和拉格朗日相干结构分析隔离病房内SARS-CoV-2的传播规律
Narjisse Amahjour,Guillermo García-Sánchez,Makrina Agaoglou et al.
Narjisse Amahjour et al.
This research paper presents an analysis of the propagation of the SARS-CoV-2, or other similar pathogens, in a hospital isolation room using computational fluid dynamics (CFD) and Lagrangian Coherent Structures (LCS). The study investigate...
COVID-19 vaccine incentive scheduling using an optimally controlled reinforcement learning model [0.03%]
使用最优控制的强化学习模型进行COVID-19疫苗激励安排
K Stuckey,P K Newton
K Stuckey
We model Covid-19 vaccine uptake as a reinforcement learning dynamic between two populations: the vaccine adopters, and the vaccine hesitant. Using data available from the Center for Disease Control (CDC), we estimate the payoff matrix gove...
Comparing the dynamics of COVID-19 infection and mortality in the United States, India, and Brazil [0.03%]
美国、印度和巴西新冠肺炎感染与死亡率对比分析
Nick James,Max Menzies,Howard Bondell
Nick James
This paper compares and contrasts the spread and impact of COVID-19 in the three countries most heavily impacted by the pandemic: the United States (US), India and Brazil. All three of these countries have a federal structure, in which the ...
Explicit formulae for the peak time of an epidemic from the SIR model. Which approximant to use? [0.03%]
关于SIR模型的流行病峰值时间的显式公式：使用哪种近似公式？
Martin Kröger,Mustafa Turkyilmazoglu,Reinhard Schlickeiser
Martin Kröger
An analytic evaluation of the peak time of a disease allows for the installment of effective epidemic precautions. Recently, an explicit analytic, approximate expression (MT) for the peak time of the fraction of infected persons during an o...
Nick James,Max Menzies
Nick James
This paper introduces new methods to study the changing dynamics of COVID-19 cases and deaths among the 50 worst-affected countries throughout 2020. First, we analyse the trajectories and turning points of rolling mortality rates to underst...
Víctor M Pérez-García
Víctor M Pérez-García
This special issue showcases recent uses of mathematical and nonlinear science methods in the study of different problems arising in the context of the COVID-19 pandemic. The sixteen original research papers included in this collection span...
Explicit formulae for the peak time of an epidemic from the SIR model [0.03%]
基于SIR模型的传染病传播峰值时间的显式公式
Mustafa Turkyilmazoglu
Mustafa Turkyilmazoglu
Reducing the peak time of an epidemic disease in order for slowing down the eventual dynamics and getting prepared for the unavoidable epidemic wave is utmost significant to fight against the risks of a contagious epidemic disease. To serve...
Suli Liu,Michael Y Li
Suli Liu
The state of an infectious disease can represent the degree of infectivity of infected individuals, or susceptibility of susceptible individuals, or immunity of recovered individuals, or a combination of these measures. When the disease pro...