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Related papers: Consumer Demand Modeling During COVID-19 Pandemic

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Equilibrium models for energy markets under uncertain demand and supply have attracted considerable attentions. This paper focuses on modelling crude oil market share under the COVID-19 pandemic using two-stage stochastic equilibrium. We…

Optimization and Control · Mathematics 2020-07-31 Xiaojun Chen , Yun Shi , Xiaozhou Wang

Scientific advice to the UK government throughout the COVID-19 pandemic has been informed by ensembles of epidemiological models provided by members of the Scientific Pandemic Influenza group on Modelling (SPI-M). Among other applications,…

Applications · Statistics 2021-08-13 D. S. Silk , V. E. Bowman , D. Semochkina , U. Dalrymple , D. C. Woods

COVID-19 pandemic has introduced a new lifestyle due to lockdown. The impact was on food habits, working hours, and sleeping patterns. The goal of this study is to detect lifestyle changes caused by confinement during the COVID-19 pandemic,…

Social and Information Networks · Computer Science 2021-08-11 Arpitha A Deshpande , Aadrika A , Rajeshwari K , Preetha S

Understanding the dynamics of the COVID-19 pandemic is crucial for improved control and social distancing strategies. To that effect, we have employed the susceptible-exposed-infectious-recovered model, refined by contact tracing and…

Populations and Evolution · Quantitative Biology 2021-01-13 Subhas Khajanchi , Kankan Sarkar , Jayanta Mondal

The COVID-19 pandemic has caused severe disruption to economic and financial activity worldwide. We assess what happened to the aggregate U.S. stock market during this period, including implications for both short and long-horizon…

Econometrics · Economics 2020-12-04 John M. Maheu , Thomas H. McCurdy , Yong Song

The novel coronavirus (COVID-19) pandemic has posed unprecedented challenges for the utilities and grid operators around the world. In this work, we focus on the problem of load forecasting. With strict social distancing restrictions, power…

Signal Processing · Electrical Eng. & Systems 2020-06-17 Yize Chen , Weiwei Yang , Baosen Zhang

Bayesian adaptive designs have gained popularity in all phases of clinical trials with numerous new developments in the past few decades. During the COVID-19 pandemic, the need to establish evidence for the effectiveness of vaccines,…

Methodology · Statistics 2022-03-08 Shirin Golchi

Pandemics, notably the recent COVID-19 outbreak, have impacted both public health and the global economy. A profound understanding of disease progression and efficient response strategies is thus needed to prepare for potential future…

Multiagent Systems · Computer Science 2024-02-07 Gauri Gupta , Ritvik Kapila , Ayush Chopra , Ramesh Raskar

Governments across the world are currently facing the task of selecting suitable intervention strategies to cope with the effects of the COVID-19 pandemic. This is a highly challenging task, since harsh measures may result in economic…

Optimization and Control · Mathematics 2021-01-19 Andreas Kasis , Stelios Timotheou , Nima Monshizadeh , Marios Polycarpou

COVID-19 has disrupted society and changed how people learn, work and live. The availability of vaccines in the spring of 2021, however, led to a gradual return of many pre-pandemic activities in Massachusetts in the fall of 2021.…

Applications · Statistics 2023-03-13 Yunhan Zheng , Nicholas Caros , Jim Aloisi , Jinhua Zhao

One approach to delay the spread of the novel coronavirus (COVID-19) is to reduce human travel by imposing travel restriction policies. It is yet unclear how effective those policies are on suppressing the mobility trend due to the lack of…

Applications · Statistics 2020-05-06 Chenfeng Xiong , Songhua Hu , Mofeng Yang , Hannah N Younes , Weiyu Luo , Sepehr Ghader , Lei Zhang

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…

Applications · Statistics 2021-01-01 Samir Bhatt , Neil Ferguson , Seth Flaxman , Axel Gandy , Swapnil Mishra , James A. Scott

The COronaVIrus Disease 2019 (COVID-19) pandemic that has had the world in its grip from the beginning of 2020, has resulted in an unprecedented level of public interest and media attention on the field of mathematical epidemiology. Ever…

Other Quantitative Biology · Quantitative Biology 2022-03-25 Sitabhra Sinha

The COVID-19 pandemic has caused unprecedented disruption, particularly in retail. Where essential demand cannot be fulfilled online, or where more stringent measures have been relaxed, customers must visit shop premises in person. This…

Physics and Society · Physics 2020-11-19 C. Budd , K. Calvert , S. Johnson , S. O. Tickle

Pooled testing offers an efficient solution to the unprecedented testing demands of the COVID-19 pandemic, although with potentially lower sensitivity and increased costs to implementation in some settings. Assessments of this trade-off…

Applications · Statistics 2021-07-13 Saskia Comess , Hannah Wang , Susan Holmes , Claire Donnat

While COVID-19 has impacted humans for a long time, people search the web for pandemic-related information, causing anxiety. From a theoretic perspective, previous studies have confirmed that the number of COVID-19 cases can cause negative…

Computers and Society · Computer Science 2022-11-17 Linjiang Guo , Zijian Feng , Yuxue Chi , Mingzhu Wang , Yijun Liu

In this paper, we introduce a novel modeling framework for incorporating fear of infection and frustration with social distancing into disease dynamics. We show that the resulting SEIR behavior-perception model has three principal modes of…

Populations and Evolution · Quantitative Biology 2020-08-14 Matthew D. Johnston , Bruce Pell

The coronavirus disease 2019 (COVID-19) pandemic has caused a reduction in business and routine activity and resulted in less motor fuel consumption. Thus, the gas tax revenue is reduced which is the major funding resource supporting the…

Applications · Statistics 2026-02-17 Lu Gao , Pan Lu , Fengxiang Qiao , Joshua Qiang Li , Yunpeng Zhang , Yihao Ren

This paper presents the assessment of time-dependent national-level restrictions and control actions and their effects in fighting the COVID-19 pandemic. By analysing the transmission dynamics during the first wave of COVID-19 in the…

Populations and Evolution · Quantitative Biology 2021-02-04 Ton Duc Do , Meei Mei Gui , Kok Yew Ng

Given multiple new COVID-19 variants are continuously emerging, non-pharmaceutical interventions are still primary control strategies to curb the further spread of coronavirus. However, implementing strict interventions over extended…

Populations and Evolution · Quantitative Biology 2022-03-01 Xiao Zhou , Xiaohu Zhang , Paolo Santi , Carlo Ratti
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