Academic
Call detail record aggregation methodology impacts infectious disease models informed by human mobility
PLoS Computational Biology, 10 August 2023. 19(8): e1011368. https://doi.org/10.1371/journal.pcbi.1011368
Mobile phone usage data for disaster response
Communications of the ACM: 04 April 2022. Volume 65. Issue 4.
Guiding principles to maintain public trust in the use of mobile operator data for policy purposes
Cambridge University Press: 01 October 2021. Data & Policy, 3, E24. doi:10.1017/dap.2021.21
Analysis of call detail records to inform the COVID-19 response in Ghana—opportunities and challenges
Cambridge University Press: 23 June 2021.
Gridded Population Survey Sampling: A Review of the Field and Strategic Research Agenda
Preprints, 2019110072
Estimating the resilience to natural disasters by using call detail records to analyse the mobility of internally displaced persons
arXiv.org, arXiv:1908.02381 [physics.soc-ph]
Detecting individual internal displacements following a sudden-onset disaster using time series analysis of call detail records
arXiv.org, arXiv:1908.02377 [physics.soc-ph]
Past and future spread of the arbovirus vectors Aedes aegypti and Aedes albopictus
Nature Microbiology, 4, 854–863 (2019)
Exploring the use of mobile phone data for national migration statistics
Palgrave Communications, Palgrave Communications 5, Article number: 34 (2019)
Estimation of poverty in Somalia using innovative methodologies
World Bank, Poverty & Equality Global Practice Working Paper 191
Estimating poverty in a fragile context: the high frequency survey in South Sudan
World Bank, Poverty & Equity Global Practice Working Paper 189
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