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Related papers: Mobile phone data and COVID-19: Missing an opportu…

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Understanding collective mobility patterns is crucial to plan the restart of production and economic activities, which are currently put in stand-by to fight the diffusion of the epidemics. In this report, we use mobile phone data to infer…

Human mobility is one of the key factors at the basis of the spreading of diseases in a population. Containment strategies are usually devised on movement scenarios based on coarse-grained assumptions. Mobility phone data provide a unique…

Social and Information Networks · Computer Science 2013-06-20 Antonio Lima , Manlio De Domenico , Veljko Pejovic , Mirco Musolesi

The changing nature of the COVID-19 pandemic has highlighted the importance of comprehensively considering its impacts and considering changes over time. Most COVID-19 related research addresses narrowly focused research questions and is…

There is growing interest in technology-enabled contact tracing, the process of identifying potentially infected COVID-19 patients by notifying all recent contacts of an infected person. Governments, technology companies, and research…

Cryptography and Security · Computer Science 2020-12-18 Lucy Simko , Ryan Calo , Franziska Roesner , Tadayoshi Kohno

Epidemics of infectious diseases are among the largest threats to the quality of life and the economic and social well-being of developing countries. The arsenal of measures against such epidemics is well-established, but costly and…

Social and Information Networks · Computer Science 2013-07-09 Mohamed Kafsi , Ehsan Kazemi , Lucas Maystre , Lyudmila Yartseva , Matthias Grossglauser , Patrick Thiran

We outline the constraints faced by operators when deciding to share de-identified data with researchers or policy makers. We describe a conservative approach that we have taken to harness the value of CDRs for infectious disease…

Other Computer Science · Computer Science 2016-06-06 Caroline O. Buckee , Kenth Engø-Monsen

High quality census data are not always available in developing countries. Instead, mobile phone data are becoming a trending proxy to evaluate population density, activity and social characteristics. They offer additional advantages for…

Physics and Society · Physics 2019-09-18 Hadrien Salat , Zbigniew Smoreda , Markus Schläpfer

Epidemics are emergent phenomena depending on the epidemiological characteristics of pathogens and the interaction and movement of people. Public transit systems have provided much important information about the movement of people, but…

Social and Information Networks · Computer Science 2018-09-24 Zhanwei Du , Chao Gao , Yuan Bai , Yongjian Yang , Petter Holme

Since the onset of the COVID-19's global spread we have been following the debate around contact tracing apps -- the tech-enabled response to the pandemic. As corporations, academics, governments, and civil society discuss the right way to…

Computers and Society · Computer Science 2020-05-28 Piotr Sapiezynski , Johanna Pruessing , Vedran Sekara

Accurate numbers are needed to understand and predict viral dynamics. Curation of high-quality literature values for the infectious period duration or household secondary attack rate, for example, is especially pressing currently because…

Other Quantitative Biology · Quantitative Biology 2020-07-10 Yinon M. Bar-On , Ron Sender , Avi I. Flamholz , Rob Phillips , Ron Milo

Most of the studies related to human mobility are focused on intra-country mobility. However, there are many scenarios (e.g., spreading diseases, migration) in which timely data on international commuters are vital. Mobile phones represent…

Computers and Society · Computer Science 2022-04-13 Massimiliano Luca , Bruno Lepri , Enrique Frias-Martinez , Andra Lutu

Given aggregated mobile device data, the goal is to understand the impact of COVID-19 policy interventions on mobility. This problem is vital due to important societal use cases, such as safely reopening the economy. Challenges include…

Computers and Society · Computer Science 2022-01-19 Arun Sharma , Majid Farhadloo , Yan Li , Aditya Kulkarni , Jayant Gupta , Shashi Shekhar

Evaluating relative changes leads to additional insights which would remain hidden when only evaluating absolute changes. We analyze a dataset describing mobility of mobile phones in Austria before, during COVID-19 lock-down measures until…

Physics and Society · Physics 2020-09-09 Georg Heiler , Allan Hanbury , Peter Filzmoser

One of the more widely advocated solutions for slowing down the spread of COVID-19 has been automated contact tracing. Since proximity data can be collected by personal mobile devices, the natural proposal has been to use this for automated…

Populations and Evolution · Quantitative Biology 2023-10-09 Hyunju Kim , Ayan Paul

The emergence of novel COVID-19 causing an overload in health system and high mortality rate. The key priority is to contain the epidemic and prevent the infection rate. In this context, many countries are now in some degree of lockdown to…

Social and Information Networks · Computer Science 2020-05-21 Halgurd S. Maghdid , Kayhan Zrar Ghafoor

The novel Corona virus pandemic is one of the biggest worldwide problems right now. While hygiene and wearing masks make up a large portion of the currently suggested precautions by the Centers for Disease Control and Prevention (CDC) and…

Computers and Society · Computer Science 2021-11-08 Sukru Yaren Gelbal , Mustafa Ridvan Cantas , Bilin Aksun-Guvenc , Levent Guvenc

In their response to the COVID-19 outbreak, governments face the dilemma to balance public health and economy. Mobility plays a central role in this dilemma because the movement of people enables both economic activity and virus spread. We…

The emergence of SARS-CoV-2 and the coronavirus infectious disease (COVID-19) has become a pandemic. Social (physical) distancing is a key non-pharmacologic control measure to reduce the transmission rate of SARS-COV-2, but high-level…

Social and Information Networks · Computer Science 2020-11-30 Song Gao , Jinmeng Rao , Yuhao Kang , Yunlei Liang , Jake Kruse , Doerte Doepfer , Ajay K. Sethi , Juan Francisco Mandujano Reyes , Jonathan Patz , Brian S. Yandell

The COVID19 pandemic highlighted the importance of non-traditional data sources, such as mobile phone data, to inform effective public health interventions and monitor adherence to such measures. Previous studies showed how socioeconomic…

Recent studies have shown the value of mobile phone data to tackle problems related to economic development and humanitarian action. In this research, we assess the suitability of indicators derived from mobile phone data as a proxy for…