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Data sharing and collaborations with Telco data during the COVID-19 pandemic: A Vodafone case study
Pedro Rente Lourenco1, Gurjeet Kaur1, Matthew Allison1
1Big Data and Artificial Intelligence, Vodafone Group, London, United Kingdom.
Data & Policy
|December 13, 2021
Summary
Anonymized telecommunications data offers insights into population mobility and COVID-19 containment effectiveness. Vodafone
Area of Science:
- Epidemiology
- Public Health
- Data Science
Background:
- The COVID-19 pandemic necessitated rapid analysis of population behavior.
- Anonymized telecommunications data emerged as a crucial tool for understanding mobility patterns.
Observation:
- Vodafone rapidly deployed new metrics derived from anonymized data across its global operations.
- These metrics provided valuable insights into population-level movements during the pandemic.
Findings:
- Methodologies for analyzing telecommunications data were developed and applied.
- Key collaborations were established with national and supra-national entities.
Implications:
- Regulatory challenges were identified, potentially limiting the full utilization of mobility insights.
- Effective privacy and ethics assessments were conducted to ensure data safety and individual privacy.
Keywords:
CDRs, call detail recordsCOVID-19KPI, key performance indicatorOD, origin destinationROG, Radius of Gyrationdata ethicsdata privacydata sharing and collaborationsmobility insightsMore Related Videos
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