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相关论文: Changes in mobility patterns in Europe during the …

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From the perspective of human mobility, the COVID-19 pandemic constituted a natural experiment of enormous reach in space and time. Here, we analyse the inherent multiple scales of human mobility using Facebook Movement Maps collected…

物理与社会 · 物理学 2025-08-29 Juni Schindler , Jonathan Clarke , Mauricio Barahona

This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We hypothesized that disturbances in human behavior caused by major life-changing events leave signatures in…

计算机视觉与模式识别 · 计算机科学 2021-07-30 Mauricio Pamplona Segundo , Allan Pinto , Rodrigo Minetto , Ricardo da Silva Torres , Sudeep Sarkar

This chapter looks at the spatial distribution and mobility patterns of essential and non-essential workers before and during the COVID-19 pandemic in London and compares them to the rest of the UK. In the 3-month lockdown that started on…

物理与社会 · 物理学 2020-11-17 Michael Batty , Roberto Murcio , Iacopo Iacopini , Maarten Vanhoof , Richard Milton

During the COVID-19 pandemic changes in human activity became widespread through official policies and organically in response to the virus's transmission, which in turn, impacted the environment and the economy. The pandemic has been…

物理与社会 · 物理学 2024-05-27 Srija Chakraborty , Eleanor Stokes , Olivia Alexander

With the outbreak of the COVID-19 pandemic in 2020, most colleges and universities move to restrict campus activities, reduce indoor gatherings and move instruction online. These changes required that students adapt and alter their daily…

人机交互 · 计算机科学 2021-07-12 Congyu Wu , Hagen Fritz , Cameron Craddock , Kerry Kinney , Darla Castelli , David M. Schnyer

COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" policies and social distancing. The pandemic has profoundly changed the world. Traditional methods for observing these historical events are difficult because sending…

The patterns of human mobility play a key role in the spreading of infectious diseases and thus represent a key ingredient of epidemic modeling and forecasting. Unfortunately, as the Covid-19 pandemic has dramatically highlighted, for the…

物理与社会 · 物理学 2024-08-28 Antonio Desiderio , Giulio Cimini , Gaetano Salina

Understanding the dynamics of passenger interactions and their epidemiological impact throughout public transportation systems is crucial for both service efficiency and public health. High passenger density and close physical proximity has…

社会与信息网络 · 计算机科学 2025-01-28 László Hajdu , Jovan Pavlović , Miklós Krész , András Bóta

The COVID-19 pandemic is one of the most pressing issues at present. A question which is particularly important for governments and policy makers is the following: Does the virus spread in the same way in different countries? Or are there…

统计方法学 · 统计学 2020-08-05 Marina Khismatullina , Michael Vogt

New York has become one of the worst-affected COVID-19 hotspots and a pandemic epicenter due to the ongoing crisis. This paper identifies the impact of the pandemic and the effectiveness of government policies on human mobility by analyzing…

物理与社会 · 物理学 2021-02-05 Akhil Anil Rajput , Qingchun Li , Xinyu Gao , Ali Mostafavi

To contain the Coronavirus disease (COVID-19) pandemic, one of the non-pharmacological epidemic control measures in response to the COVID-19 outbreak is reducing the transmission rate of SARS-COV-2 in the population through (physical)…

物理与社会 · 物理学 2020-05-19 Song Gao , Jinmeng Rao , Yuhao Kang , Yunlei Liang , Jake Kruse

Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the COVID-19…

社会与信息网络 · 计算机科学 2020-11-03 Yuhao Kang , Song Gao , Yunlei Liang , Mingxiao Li , Jinmeng Rao , Jake Kruse

As a highly infectious respiratory disease, COVID-19 has become a pandemic that threatens global health. Without an effective treatment, non-pharmaceutical interventions, such as travel restrictions, have been widely promoted to mitigate…

社会与信息网络 · 计算机科学 2020-06-25 Qianqian Sun , Yixuan Pan , Weiyi Zhou , Chenfeng Xiong , Lei Zhang

The COVID-19 pandemic disrupted the mobility patterns of a majority of Americans beginning in March 2020. Despite the beneficial, socially distanced activity offered by outdoor recreation, confusing and contradictory public health messaging…

COVID-19 has caused widespread damage across many areas of life and has made humans more dependent on the internet and technology making us realize the importance of secure remote working environments. While social separation is encouraged…

密码学与安全 · 计算机科学 2023-02-27 Somya Khatri , Aswani Kumar Cherukuri , Firuz Kamalov

Social media data can be a very salient source of information during crises. User-generated messages provide a window into people's minds during such times, allowing us insights about their moods and opinions. Due to the vast amounts of…

社会与信息网络 · 计算机科学 2020-08-28 Anna Kruspe , Matthias Häberle , Iona Kuhn , Xiao Xiang Zhu

COVID-19 has deeply affected daily life and travel behaviors. Understanding these changes is crucial, prompting an investigation into socio-demographic and socio-economic factors. This study used large-scale mobile device location data in…

应用统计 · 统计学 2024-01-26 Saeed Saleh Namadi , Behnam Tahmasbi , Asal Mehditabrizi , Aref Darzi , Deb Niemeier

The coronavirus pandemic corresponds to a serious global health crisis which not only changed the way people used to live but also how people behaved in their daily lives. Information from social and behavioural sciences can help in…

物理与社会 · 物理学 2025-02-03 Rashi Jain , Mansi Yadav

The COVID-19 pandemic has brought both tangible and intangible damage to our society. Many researchers studied about its societal impacts in the countries that had implemented strong social distancing measures such as stay-at-home orders.…

计算机与社会 · 计算机科学 2020-07-02 Myeong Lee , Seongkyu Lee , Seonghoon Kim , Noseong Park

Epidemiological simulations as a method are used to better understand and predict the spreading of infectious diseases, for example of COVID-19. This paper presents an approach that combines person-centric data-driven human mobility…