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Challenges and opportunities in accessing mobile phone data for COVID-19 response in developing countries

https://doi.org/10.1017/dap.2021.10
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-79228-4_1openalex-snapshot
Differential Privacy: A Survey of Results
inferredcites →https://doi.org/10.1016/j.jdeveco.2020.102559openalex-snapshot
Managing the spread of disease with mobile phone data
inferredcites →https://doi.org/10.1038/d41586-018-06215-5openalex-snapshot
Don’t forget people in the use of big data for development
inferredcites →https://doi.org/10.1038/s41467-018-06290-2openalex-snapshot
Estimating sources and sinks of malaria parasites in Madagascar
inferredcites →https://doi.org/10.1038/sdata.2018.286openalex-snapshot
On the privacy-conscientious use of mobile phone data
inferredcites →https://doi.org/10.1038/srep01376openalex-snapshot
Unique in the Crowd: The privacy bounds of human mobility
inferredcites →https://doi.org/10.1038/srep08923openalex-snapshot
Using Mobile Phone Data to Predict the Spatial Spread of Cholera
inferredcites →https://doi.org/10.1073/pnas.1423542112openalex-snapshot
Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data
inferredcites →https://doi.org/10.1073/pnas.1504964112openalex-snapshot
Impact of human mobility on the emergence of dengue epidemics in Pakistan
inferredcites →https://doi.org/10.1080/13658816.2015.1137298openalex-snapshot
Understanding the bias of call detail records in human mobility research
inferredcites →https://doi.org/10.1093/ije/dyy095openalex-snapshot
Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data
inferredcites →https://doi.org/10.1093/jtm/taz019openalex-snapshot
Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine
inferredcites →https://doi.org/10.1098/rsif.2012.0986openalex-snapshot
The impact of biases in mobile phone ownership on estimates of human mobility
inferredcites →https://doi.org/10.1126/sciadv.abc0764openalex-snapshot
Mobile phone data for informing public health actions across the COVID-19 pandemic life cycle
inferredcites →https://doi.org/10.1126/science.1177170openalex-snapshot
Limits of Predictability in Human Mobility
inferredcites →https://doi.org/10.1126/science.1223467openalex-snapshot
Quantifying the Impact of Human Mobility on Malaria
inferredcites →https://doi.org/10.1126/science.abb8021openalex-snapshot
Aggregated mobility data could help fight COVID-19
inferredcites →https://doi.org/10.1140/epjds/s13688-015-0046-0openalex-snapshot
A survey of results on mobile phone datasets analysis
inferredcites →https://doi.org/10.1145/2160673openalex-snapshot
Proceedings of the Fifth International Conference on Information and Communication Technologies and Development
inferredcites →https://doi.org/10.1145/2160673.2160684openalex-snapshot
On the relationship between socio-economic factors and cell phone usage
inferredcites →https://doi.org/10.1145/2369220openalex-snapshot
Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development
inferredcites →https://doi.org/10.1145/2369220.2369225openalex-snapshot
Mobile divides
inferredcites →https://doi.org/10.1145/2412096.2412101openalex-snapshot
Are call detail records biased for sampling human mobility?
inferredcites →https://doi.org/10.1145/2684103.2684107openalex-snapshot
Understanding User Attributes from Calling Behavior
inferredcites →https://doi.org/10.1145/3442188.3445897openalex-snapshot
Narratives and Counternarratives on Data Sharing in Africa
inferredcites →https://doi.org/10.1371/currents.dis.ec60859ff436919e096d51ef7d50736fopenalex-snapshot
Validating Indicators of Disaster Recovery with Qualitative Research
inferredcites →https://doi.org/10.1371/currents.outbreaks.0177e7fcf52217b8b634376e2f3efc5eopenalex-snapshot
Commentary: Containing the Ebola Outbreak - the Potential and Challenge of Mobile Network Data
inferredcites →https://doi.org/10.1371/journal.pmed.1001083openalex-snapshot
Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti
inferredcites →https://doi.org/10.1371/journal.pone.0035319openalex-snapshot
Heterogeneous Mobile Phone Ownership and Usage Patterns in Kenya
inferredcites →https://doi.org/10.1515/popets-2017-0043openalex-snapshot
What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy
inferredcites →https://doi.org/10.1596/1813-9450-9519openalex-snapshot
Using Mobile Data to Understand Urban Mobility Patterns in Freetown, Sierra Leone
inferredcites →https://doi.org/10.1596/19316openalex-snapshot
Using Locational Data from Mobile Phones to Enhance the Science of Delivery
inferredcites →https://doi.org/10.2139/ssrn.2445102openalex-snapshot
The Menlo Report: Ethical Principles Guiding Information and Communication Technology Research
inferredcites →https://doi.org/10.2196/11969openalex-snapshot
Toward an Ethically Founded Framework for the Use of Mobile Phone Call Detail Records in Health Research
inferredcites →https://doi.org/10.2788/162414openalex-snapshot
Estimating population density distribution from network-based mobile phone data
inferredcites →https://doi.org/10.3390/ijgi5060085openalex-snapshot
Comparative Perspective of Human Behavior Patterns to Uncover Ownership Bias among Mobile Phone Users

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4714781openalex-extracted
County-Level Mobility and Sociopolitical Context in the Spread of COVID-19 During Spring 2020
inferred← citeshttps://doi.org/10.1007/978-3-031-08754-7_35openalex-snapshot
The Importance of Scaling for an Agent Based Model: An Illustrative Case Study with COVID-19 in Zimbabwe
inferred← citeshttps://doi.org/10.1007/978-3-031-90550-6_2openalex-snapshot
Mobile Phone Technologies for Agricultural Knowledge Management in Nigeria: A Remedial Approach for Improved Productivity
inferred← citeshttps://doi.org/10.1007/s10729-025-09722-wopenalex-snapshot
County-level mobility and sociopolitical context in the spread of COVID-19 during spring 2020
inferred← citeshttps://doi.org/10.1007/s44206-025-00223-5openalex-snapshot
Government Policies and Digital Transformation During COVID-19 in Pakistan: an Analysis of Digital and Financial Inclusion
inferred← citeshttps://doi.org/10.1016/j.jdeveco.2022.103016openalex-snapshot
Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan
inferred← citeshttps://doi.org/10.1016/j.jocs.2023.101999openalex-snapshot
Scale matters: Variations in spatial and temporal patterns of epidemic outbreaks in agent-based models
inferred← citeshttps://doi.org/10.1016/j.landurbplan.2026.105761openalex-snapshot
Quantifying heat exposure risk in 15-minute cities: a coupled analysis integrating dynamic shading effects and human mobility patterns
inferred← citeshttps://doi.org/10.1016/j.sciaf.2023.e01692openalex-snapshot
Commercial floating car data application in Sub-Saharan African transport planning contexts: A critical review and research agenda
inferred← citeshttps://doi.org/10.1017/dap.2021.39openalex-snapshot
Mobile Big Data in the fight against COVID-19
inferred← citeshttps://doi.org/10.1017/dap.2024.94openalex-snapshot
Mobile phone data for anticipating displacements: practices, opportunities, and challenges
inferred← citeshttps://doi.org/10.1017/dap.2025.10007openalex-snapshot
Informal savings groups and food security during the COVID-19 pandemic: evidence from Nigeria
inferred← citeshttps://doi.org/10.1073/pnas.2421993122openalex-snapshot
Comparative evaluation of behavioral epidemic models using COVID-19 data
inferred← citeshttps://doi.org/10.1080/01442872.2024.2403506openalex-snapshot
Private commercial companies sharing health-relevant consumer data with health researchers in sub-Saharan Africa: an ethical exploration
inferred← citeshttps://doi.org/10.1111/joes.12584openalex-snapshot
Understanding the climate change‐migration nexus through the lens of household surveys: An empirical review to assess data gaps
inferred← citeshttps://doi.org/10.1111/risa.14188openalex-snapshot
A data‐driven method for identifying the locations of hurricane evacuations from mobile phone location data
inferred← citeshttps://doi.org/10.1145/3674829.3675061openalex-snapshot
Rapid poverty estimation using ready-to-use mobile phone data: An application to Côte d’Ivoire
inferred← citeshttps://doi.org/10.1145/3710968openalex-snapshot
Expanding Perspectives on Data Privacy: Insights from Rural Togo
inferred← citeshttps://doi.org/10.1371/journal.pone.0322520openalex-snapshot
Mobile Phone Network Data in the COVID-19 era: A systematic review of applications, socioeconomic factors affecting compliance to non-pharmaceutical interventions, privacy implications, and post-pandemic economic recovery strategies
inferred← citeshttps://doi.org/10.1596/38225openalex-snapshot
Driving Revolutionary Ideas into Practice
inferred← citeshttps://doi.org/10.1787/242f51b8-enopenalex-snapshot
Using private sector geospatial data to inform policy
inferred← citeshttps://doi.org/10.2139/ssrn.5238293openalex-snapshot
County-Level Mobility and Sociopolitical Context in the Spread of COVID-19 During Spring 2020
inferred← citeshttps://doi.org/10.26481/dis.20231127xlopenalex-snapshot
The role of data in sustainable urban mobility policy
inferred← citeshttps://doi.org/10.3386/w30694openalex-snapshot
Measuring Religion from Behavior: Climate Shocks and Religious Adherence in Afghanistan
inferred← citeshttps://doi.org/10.3390/ijgi11030196openalex-snapshot
Development of Big Data-Analysis Pipeline for Mobile Phone Data with Mobipack and Spatial Enhancement
inferred← citeshttps://doi.org/10.3390/s23020908openalex-snapshot
Mobile Phone Data: A Survey of Techniques, Features, and Applications
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