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Using smartphone location data from Colombia, Mexico, and Indonesia, we investigate how non-pharmaceutical policy interventions intended to mitigate the spread of the COVID-19 pandemic impact human mobility. In all three countries, we find…

The research team has utilized an integrated dataset, consisting of anonymized location data, COVID-19 case data, and census population information, to study the impact of COVID-19 on human mobility. The study revealed that statistics…

计算机与社会 · 计算机科学 2020-05-01 Sepehr Ghader , Jun Zhao , Minha Lee , Weiyi Zhou , Guangchen Zhao , Lei Zhang

Existing empirical work has focused on assessing the effectiveness of non-pharmaceutical interventions on human mobility to contain the spread of COVID-19. Less is known about the ways in which the COVID-19 pandemic has reshaped the spatial…

Unlike the lockdown measures taken in some countries or cities, the Japanese government declared a "State of Emergency" (SOE) under which people were only requested to reduce their contact with other people by at least 70 %, while some…

物理与社会 · 物理学 2020-12-25 Takao Dantsuji , Kashin Sugishita , Daisuke Fukuda

Mobility data at EU scale can help understand the dynamics of the pandemic and possibly limit the impact of future waves. Still, since a reliable and consistent method to measure the evolution of contagion at international level is missing,…

Battle with COVID-19 turned out to be a marathon, not a sprint, and behavioral adjustments have been unavoidable to stay viable. In this paper, we employ a data-centric approach to investigate individual mobility adaptations and…

计算机与社会 · 计算机科学 2020-09-22 Jungwoo Cho , Yuyol Shin , Seyun Kim , Namwoo Kim , Soohwan Oh , Haechan Cho , Yoonjin Yoon

Social distancing remains an important strategy to combat the COVID-19 pandemic in the United States. However, the impacts of specific state-level policies on mobility and subsequent COVID-19 case trajectories have not been completely…

In March 2020, the Austrian government introduced a widespread lock-down in response to the COVID-19 pandemic. Based on subjective impressions and anecdotal evidence, Austrian public and private life came to a sudden halt. Here we assess…

计算机与社会 · 计算机科学 2020-08-25 Georg Heiler , Tobias Reisch , Jan Hurt , Mohammad Forghani , Aida Omani , Allan Hanbury , Farid Karimipour

Owing to the pandemic caused by the coronavirus disease of 2019 (COVID-19), several universities have closed their campuses for preventing the spread of infection. Consequently, the university classes are being held over the Internet, and…

Understanding human mobility is crucial for urban and transport studies in cities. People's daily activities provide valuable insight, such as where people live, work, shop, leisure or eat during midday or after-work hours. However, such…

社会与信息网络 · 计算机科学 2023-09-13 Roberto Murcio , Nilufer Sari Aslam , Joana Barros

Implementing a lockdown for disease mitigation is a balancing act: Non-pharmaceutical interventions can reduce disease transmission significantly, but interventions also have considerable societal costs. Therefore, decision-makers need near…

数据分析、统计与概率 · 物理学 2023-02-01 Andreas Koher , Frederik Jørgensen , Michael Bang Petersen , Sune Lehmann

Behavioral responses to pandemics are less shaped by actual mortality or hospitalization risks than they are by risk attitudes. We explore human mobility patterns as a measure of behavioral responses during the COVID-19 pandemic. Our…

综合经济学 · 经济学 2020-12-21 Ho Fai Chan , Ahmed Skali , David Savage , David Stadelmann , Benno Torgler

The constrained outbreak of COVID-19 in Mainland China has recently been regarded as a successful example of fighting this highly contagious virus. Both the short period (in about three months) of transmission and the sub-exponential…

物理与社会 · 物理学 2022-03-22 Jizhou Huang , Haifeng Wang , Miao Fan , An Zhuo , Yibo Sun , Ying Li

Socio-economic constructs and urban topology are crucial drivers of human mobility patterns. During the coronavirus disease 2019 pandemic, these patterns were reshaped in their components: the spatial dimension represented by the daily…

The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and endogenous (spontaneous reaction to infection risks) origin.…

In this paper, our goal is to analyze and compare cellular network usage data from pre-lockdown, during lockdown, and post-lockdown phases surrounding the COVID-19 pandemic to understand and model human mobility patterns during the…

Since the primary mode of respiratory virus transmission is person-to-person interaction, we are required to reconsider physical interaction patterns to mitigate the number of people infected with COVID-19. While research has shown that…

应用统计 · 统计学 2021-12-01 Cornelius Fritz , Göran Kauermann

The COVID-19 pandemic reshaped human mobility through policy interventions and voluntary behavioral changes. Mobility adaptions helped mitigate pandemic spread, however our knowledge which environmental, social, and demographic factors…

应用统计 · 统计学 2025-10-30 Sydney Paltra , Jonas Dehning , Viola Priesemann , Kai Nagel

Analysis of human mobility from GPS trajectories becomes crucial in many aspects such as policy planning for urban citizens, location-based service recommendation/prediction, and especially mitigating the spread of biological and mobile…

人机交互 · 计算机科学 2020-09-29 Tran Phuong Thao

Human movement is used as an indicator of human activity in modern society. The velocity of moving humans is calculated based on position information obtained from mobile phones. The level of human activity, as recorded by velocity, varies…

物理与社会 · 物理学 2017-06-15 Yasuko Kawahata , Takayuki Mizuno , Akira Ishii