English
Related papers

Related papers: Statistical Machine Learning Meets High-Dimensiona…

200 papers

To date, the only effective means to respond to the spreading of COVID-19 pandemic are non-pharmaceutical interventions (NPIs), which entail policies to reduce social activity and mobility restrictions. Quantifying their effect is…

Physics and Society · Physics 2021-03-01 Francesco Parino , Lorenzo Zino , Maurizio Porfiri , Alessandro Rizzo

Non-pharmaceutical interventions (NPIs) such as quarantine, self-isolation, social distancing, and virus-contact tracing can greatly reduce the spread of the virus during a pandemic. In the wave of the COVID-19 pandemic, many countries have…

Physics and Society · Physics 2020-12-16 Jingjing He , Xuefei Guan , Xiaochang Duan , Tian Shen , Jing Lin

Background: The impact of individual non-pharmaceutical interventions (NPI) such as state-wide stay-at-home orders, school closures and gathering size limitations, on the COVID-19 epidemic is unknown. Understanding the impact that above…

Populations and Evolution · Quantitative Biology 2020-07-27 Ian E. Fellows , Rachel B. Slayton , Avi J. Hakim

Infectious diseases and human behavior are intertwined. On one side, our movements and interactions are the engines of transmission. On the other, the unfolding of viruses might induce changes to our daily activities. While intuitive, our…

Physics and Society · Physics 2021-06-02 Nicola Perra

The COVID-19 pandemic has changed human life. To mitigate the pandemic's impacts, different regions implemented various policies to contain COVID-19 and residents showed diverse responses. These human responses in turn shaped the uneven…

Physics and Society · Physics 2024-04-17 Binbin Lin , Lei Zou , Mingzheng Yang , Bing Zhou , Debayan Mandal , Joynal Abedin , Heng Cai , Ning Ning

Non-pharmacologic interventions (NPIs) are one method to mitigate the spread and effects of the COVID-19 pandemic in the United States. NPIs promote protective actions to reduce exposure risk and can reduce mobility patterns within…

Physics and Society · Physics 2021-07-16 Natalie Coleman , Xinyu Gao , Jared DeLeon , Ali Mostafavi

The non-pharmaceutical interventions (NPIs), aimed at reducing the diffusion of the COVID-19 pandemic, has dramatically influenced our behaviour in everyday life. In this work, we study how individuals adapted their daily movements and…

Computers and Society · Computer Science 2021-08-18 Lorenzo Lucchini , Simone Centellegher , Luca Pappalardo , Riccardo Gallotti , Filippo Privitera , Bruno Lepri , Marco De Nadai

With the outbreak of COVID-19, how to mitigate and suppress its spread is a big issue to the government. Department of public health need powerful models to model and predict the trend and scale of such pandemic. And models that could…

Computational Engineering, Finance, and Science · Computer Science 2020-12-08 Wang Pan , Qipu Deng , Jiadong Li , Zhi Wang , Wenwu Zhu

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

Since the outbreak of COVID-19, an astronomical number of publications on the pandemic dynamics appeared in the literature, of which many use the susceptible infected removed (SIR) and susceptible exposed infected removed (SEIR) models, or…

Machine Learning · Computer Science 2021-11-03 Hua-Liang Wei , S. A. Billings

During the epidemics of COVID-19, the whole world is experiencing a serious crisis on public health and economy. Understanding human mobility during the pandemic helps one to design intervention strategies and resilience measures. The…

Physics and Society · Physics 2021-02-12 Xinwei Chai , Xian Guo , Jihua Xiao , Jie Jiang

As a reaction to the high infectiousness and lethality of the COVID-19 virus, countries around the world have adopted drastic policy measures to contain the pandemic. However, it remains unclear which effect these measures, so-called…

Computers and Society · Computer Science 2021-08-11 Lucas Baier , Niklas Kühl , Jakob Schöffer , Gerhard Satzger

The widespread, and in many countries unprecedented, use of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic has highlighted the need for mathematical models which can estimate the impact of these measures while…

With COVID-19 affecting every country globally and changing everyday life, the ability to forecast the spread of the disease is more important than any previous epidemic. The conventional methods of disease-spread modeling, compartmental…

Machine Learning · Statistics 2022-08-19 Benjamin Lucas , Behzad Vahedi , Morteza Karimzadeh

Spatiotemporal modelling of infectious diseases such as COVID-19 involves using a variety of epidemiological metrics such as regional proportion of cases or regional positivity rates. Although observing their changes over time is critical…

Countries around the world implement nonpharmaceutical interventions (NPIs) to mitigate the spread of COVID-19. Design of efficient NPIs requires identification of the structure of the disease transmission network. We here identify the key…

Populations and Evolution · Quantitative Biology 2021-05-18 Simon Syga , Diana David-Rus , Yannik Schälte , Michael Meyer-Hermann , Haralampos Hatzikirou , Andreas Deutsch

The COVID-19 pandemic provided many modeling challenges to investigate the evolution of an epidemic process over areal units. A suitable encompassing model must describe the spatio-temporal variations of the disease infection rate of…

Methodology · Statistics 2023-11-20 Pierfrancesco Alaimo Di Loro , Dankmar Boehning , Sujit Sahu

Due to the rapid developments in Intelligent Transportation System (ITS) and increasing trend in the number of vehicles on road, abundant of road traffic data is generated and available. Understanding spatio-temporal traffic patterns from…

The informational environment surrounding the Covid-19 pandemic has been widely recognized as fragmented, politicized, and complex [1]. This has resulted in polarized public views regarding the veracity of scientific communication, the…

Human-Computer Interaction · Computer Science 2021-10-26 Alex Rich , Cameron Yick , David Gotz

The implementation of governmental Non-Pharmaceutical Interventions (NPIs) has been the primary means of controlling the spread of the COVID-19 disease. The intended effect of these NPIs has been to reduce mobility. A strong reduction in…

Physics and Society · Physics 2020-09-22 Berber T Snoeijer , Mariska Burger , Shaoxiong Sun , Richard JB Dobson , Amos A Folarin
‹ Prev 1 2 3 10 Next ›