scholarly journals On the use of data from multiple mobile network operators in Europe to fight COVID-19

Data & Policy ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Michele Vespe ◽  
Stefano Maria Iacus ◽  
Carlos Santamaria ◽  
Francesco Sermi ◽  
Spyridon Spyratos
Keyword(s):  
Data Privacy ◽  
Mobile Network ◽  
Fundamental Rights ◽  
Mobility Patterns ◽  
Use Of Data ◽  
Mobile Positioning ◽  
Containment Measures ◽  
Anonymized Data ◽  
Government Initiative ◽  
Mobile Network Operators

Abstract The rapid spread of COVID-19 infections on a global level has highlighted the need for accurate, transparent and timely information regarding collective mobility patterns to inform de-escalation strategies as well as to provide forecasting capacity for re-escalation policies aiming at addressing further waves of the virus. Such information can be extracted using aggregate anonymized data from innovative sources such as mobile positioning data. This paper presents lessons learnt and results of a unique Business-to-Government initiative between several mobile network operators in Europe and the European Commission. Mobile positioning data have supported policy-makers and practitioners with evidence and data-driven knowledge to understand and predict the spread of the disease, the effectiveness of the containment measures, their socio-economic impacts while feeding scenarios at European Union scale and in a comparable way across countries. The challenges of these data sharing initiative are not limited to data quality, harmonization, and comparability across countries, however important they are. Equally essential aspects that need to be addressed from the onset are related to data privacy, security, fundamental rights, and commercial sensitivity.

Using Call Detail Records of Mobile Network Operators for Transportation Studies

2014 ◽  
pp. 224-238 ◽  
Author(s):  
Erki Saluveer ◽  
Rein Ahas
Keyword(s):  
Mobile Network ◽  
Monitoring Systems ◽  
Continuous Growth ◽  
Mobile Positioning ◽  
New Methodologies ◽  
Transportation Research ◽  
Transportation Studies ◽  
Mobile Network Operators ◽  
Privacy Issues ◽  
Call Detail Records

Contemporary transportation research is seeing a steady incline in the use of new, digital tracking data. The necessity for such new types of data has risen from the continuous growth of society's mobility, the attractiveness of big data, and the need for data that could be collected automatically to be used in developing various monitoring systems. However, introducing new types of data requires the developing and thorough testing of new methodologies. In the current chapter, the authors introduce some methodological issues related to using passive mobile positioning data in transportation research. The Call Detail Records (CDR) and Data Detail Records (DDR) of Mobile Network Operators are a set of data that are automatically recorded and used with increasing frequency by scientists, including transportation researchers and developers of monitoring systems. The authors go on to introduce the Estonian experience in managing such data, spatial and temporal interpolation, the determining of anchor points, and activities responsible for movement. They assess both positive and negative aspects of using passive mobile positioning data and briefly consider legislation and privacy issues in regards to such data.

Methodological approaches for Moscow urban agglomeration delimitation based on mobile network operators data

2019 ◽  
pp. 48-57 ◽  
Author(s):  
A. G. Makhrova ◽  
R. A. Babkin
Keyword(s):  
Urban Areas ◽  
Mobile Network ◽  
Suburban Area ◽  
Suburban Areas ◽  
The Core ◽  
Use Of Data ◽  
Moscow Agglomeration ◽  
New Variant ◽  
Economic Functioning ◽  
Mobile Network Operators

In the article, based on the methodology of determining the functional urban areas of the Organisation for Economic Co-operation and Development (OECD) with the use of data from mobile operators about the localization of network users, the boundaries of the Moscow agglomeration are identified and it is spatial structure is analyzed using the approaches of the chrono-geography concept. The analysis showed the impossibility of using the OECD methodology without its adaptation to Russian conditions. For example, according to this technique, the entire territory of the “real city”, including the “sleeping areas” of Moscow and its satellite cities, falls into the core zone. At the same time, the suburban area extends to the territory of almost the entire Moscow region, going in many directions beyond its borders. The adapted version of the method of delimitation involves reducing the size of the core to the boundaries of the Moscow ring road with a corresponding decrease in the boundaries of the suburban area, which is consistent with the approaches and ideas developed in practice in Russia. Using the methodology of the chrono-geography concept, a model of “pulsating agglomeration” was developed. It is a new variant of studying and analyzing the dynamics of socio-economic functioning of agglomerations, taking into account the different time socio-economic rhythms of the Moscow agglomeration. As part of the agglomeration, “static” – constant throughout the year and “movable” – seasonal suburban areas were identified, which allowed to include in the analysis of “pulsation” not only the population of the structural elements of the agglomeration, but also its boundaries depending on the seasons.

Using Call Detail Records of Mobile Network Operators for Transportation Studies

2018 ◽  
pp. 445-460
Author(s):  
Erki Saluveer ◽  
Rein Ahas
Keyword(s):  
Mobile Network ◽  
Monitoring Systems ◽  
Continuous Growth ◽  
Mobile Positioning ◽  
New Methodologies ◽  
Transportation Research ◽  
Transportation Studies ◽  
Mobile Network Operators ◽  
Privacy Issues ◽  
Call Detail Records

Contemporary transportation research is seeing a steady incline in the use of new, digital tracking data. The necessity for such new types of data has risen from the continuous growth of society's mobility, the attractiveness of big data, and the need for data that could be collected automatically to be used in developing various monitoring systems. However, introducing new types of data requires the developing and thorough testing of new methodologies. In the current chapter, the authors introduce some methodological issues related to using passive mobile positioning data in transportation research. The Call Detail Records (CDR) and Data Detail Records (DDR) of Mobile Network Operators are a set of data that are automatically recorded and used with increasing frequency by scientists, including transportation researchers and developers of monitoring systems. The authors go on to introduce the Estonian experience in managing such data, spatial and temporal interpolation, the determining of anchor points, and activities responsible for movement. They assess both positive and negative aspects of using passive mobile positioning data and briefly consider legislation and privacy issues in regards to such data.

scholarly journals The hidden potential of call detail records in The Gambia

Data & Policy ◽  
2021 ◽  
Vol 3 ◽  
Author(s):  
Ayumi Arai ◽  
Erwin Knippenberg ◽  
Moritz Meyer ◽  
Apichon Witayangkurn
Keyword(s):  
Rural Areas ◽  
Best Practice ◽  
Mobile Network ◽  
Lessons Learned ◽  
Population Mobility ◽  
Mobility Patterns ◽  
End User ◽  
Aggregated Data ◽  
Data Pipeline ◽  
Mobile Network Operators

Abstract Aggregated data from mobile network operators (MNOs) can provide snapshots of population mobility patterns in real time, generating valuable insights when other more traditional data sources are unavailable or out-of-date. The COVID-19 pandemic has highlighted the value of remotely-collected, high-frequency, localized data in inferring the economic impact of shocks to inform decision-making. However, proper protocols must be put in place to ensure end-to-end user-confidentiality and compliance with international best practice. We demonstrate how to build such a data pipeline, channeling data from MNOs through the national regulator to the analytical users, who in turn produce policy-relevant insights. The aggregated indicators analyzed offer a detailed snapshot of the decrease in mobility and increased out-migration from urban to rural areas during the COVID-19 lockdown. Recommendations based on lessons learned from this process can inform engagements with other regulators in creating data pipelines to inform policy-making.

scholarly journals Understanding components of mobility during the COVID-19 pandemic

2021 ◽  
Vol 380 (2214) ◽  
Author(s):  
Peter Edsberg Møllgaard ◽  
Sune Lehmann ◽  
Laura Alessandretti
Keyword(s):  
Disease Surveillance ◽  
Data Science ◽  
Mobile Network ◽  
Travel Behaviour ◽  
Mobility Patterns ◽  
Infectious Disease Surveillance ◽  
Disease Propagation ◽  
Different Types ◽  
Travel Restrictions ◽  
Mobile Network Operators

Travel restrictions have proven to be an effective strategy to control the spread of the COVID-19 epidemics, in part because they help delay disease propagation across territories. The question, however, as to how different types of travel behaviour, from commuting to holiday-related travel, contribute to the spread of infectious diseases remains open. Here, we address this issue by using factorization techniques to decompose the temporal network describing mobility flows throughout 2020 into interpretable components. Our results are based on two mobility datasets: the first is gathered from Danish mobile network operators; the second originates from the Facebook Data-For-Good project. We find that mobility patterns can be described as the aggregation of three mobility network components roughly corresponding to travel during workdays, weekends and holidays, respectively. We show that, across datasets, in periods of strict travel restrictions the component corresponding to workday travel decreases dramatically. Instead, the weekend component, increases. Finally, we study how each type of mobility (workday, weekend and holiday) contributes to epidemics spreading, by measuring how the effective distance, which quantifies how quickly a disease can travel between any two municipalities, changes across network components. This article is part of the theme issue ‘Data science approaches to infectious disease surveillance’.

scholarly journals 5G: A new future for Mobile Network Operators, or not?

2021 ◽  
Vol 45 (3) ◽  
pp. 102086
Author(s):  
William Lehr ◽  
Fabian Queder ◽  
Justus Haucap
Keyword(s):  
Mobile Network ◽  
Mobile Network Operators

scholarly journals COVID-19 Information Seeking and Utilization Among Women in Warri Metropolis, Delta State, Nigeria

2021 ◽  
Vol 10 (2) ◽  
pp. 1-16
Author(s):  
Esharenana E. Adomi ◽  
Gloria O. Oyovwe-Tinuoye
Keyword(s):  
Social Media ◽  
Survey Research ◽  
Research Design ◽  
Information Seeking ◽  
Preventive Measures ◽  
Mobile Network ◽  
Major Barrier ◽  
Available Information ◽  
Descriptive Survey ◽  
Mobile Network Operators

The study is intended to explore COVID-19 information seeking and utilization among women in Warri Metropolis, Delta State, Nigeria. Descriptive survey research design was adopted using a self-constructed questionnaire to collect data. Data were analyzed using simple percentages. Findings revealed that a majority of the women need information on COVID-19 preventive measures, followed by causes of the pandemic; Internet is the source of COVID-19 information used by the highest number of respondents, followed by television and social media; a majority of them consider the authority of the source of the information on coronavirus followed by usefulness of the information; a majority access COVID-19 information to enable them identify symptoms of the disease followed by protection against COVID-19 infection while concern for reliability of much of the available information on the pandemic was a major barrier to their utilization of COVID-19 information. It is recommended that effort should be made by government to get mobile network operators to reduce network tariff.

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