The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Dynamic population mapping using mobile phone data
Open accessAbstract
Significance: Knowing where people are is critical for accurate impact assessments and intervention planning, particularly those focused on population health, food security, climate change, conflicts, and natural disasters. This study demonstrates how data collected by mobile phone network operators can cost-effectively provide accurate and detailed maps of population distribution over national scales and any time period while guaranteeing phone users’ privacy. The methods outlined may be applied to estimate human population densities in low-income countries where data on population distributions may be scarce, outdated, and unreliable, or to estimate temporal variations in population density. The work highlights how facilitating access to anonymized mobile phone data might enable fast and cheap production of population maps in emergency and data-scarce situations.
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Cites
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Limits of Predictability in Human Mobility
Song, C., Qu, Z., Blumm, N., & Barabási, A.-L. (2010) · Science · doi:10.1126/science.1177170 · Cited by 3,234
Unique in the Crowd: The privacy bounds of human mobility
de Montjoye, Y.-A., Hidalgo, C. A., Verleysen, M., & Blondel, V. D. (2013) · Scientific Reports · doi:10.1038/srep01376 · Cited by 1,645
Self-citationQuantifying the Impact of Human Mobility on Malaria
Wesolowski, A., Eagle, N., Tatem, A. J., Smith, D. L., Noor, A. M., Snow, R. W., & Buckee, C. O. (2012) · Science · doi:10.1126/science.1223467 · Cited by 992
Self-citationBengtsson, L., Lu, X., Thorson, A., Garfield, R., & von Schreeb, J. (2011) · PLoS Medicine · doi:10.1371/journal.pmed.1001083 · Cited by 634
Global demographic trends and future carbon emissions
O'Neill, B. C., Dalton, M., Fuchs, R., Jiang, L., Pachauri, S., & Zigova, K. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1004581107 · Cited by 535
The scaling of human interactions with city size
Schläpfer, M., Bettencourt, L. M. A., Grauwin, S., Raschke, M., Claxton, R., Smoreda, Z., West, G. B., & Ratti, C. (2014) · Journal of The Royal Society Interface · doi:10.1098/rsif.2013.0789 · Cited by 356
Cited by
WorldPop, open data for spatial demography
Tatem, A. J. (2017) · Scientific Data · doi:10.1038/sdata.2017.4 · Cited by 1,182
Self-citationSea Level Rise and Implications for Low-Lying Islands, Coasts and Communities
(2022) · The Ocean and Cryosphere in a Changing Climate · doi:10.1017/9781009157964.012 · Cited by 831
Predicting poverty and wealth from mobile phone metadata
Blumenstock, J., Cadamuro, G., & On, R. (2015) · Science · doi:10.1126/science.aac4420 · Cited by 698
The effect of global change on mosquito-borne disease
Franklinos, L. H. V., Jones, K. E., Redding, D. W., & Abubakar, I. (2019) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(19)30161-6 · Cited by 641
A multi-source dataset of urban life in the city of Milan and the Province of Trentino
Barlacchi, G., De Nadai, M., Larcher, R., Casella, A., Chitic, C., Torrisi, G., Antonelli, F., Vespignani, A., Pentland, A., & Lepri, B. (2015) · Scientific Data · doi:10.1038/sdata.2015.55 · Cited by 560
Metadata
- Authors
- Deville, P., Linard, C., Martin, S., Gilbert, M., Stevens, F. R., Gaughan, A. E., Blondel, V. D., & Tatem, A. J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2014-10-27
- Volume
- 111
- Issue
- 45
- Pages
- 15888-15893
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2055992762
- Cited by
- 900
- References
- 7
- FWCI
- 111.79
- Type
- journal article
- Language
- en
- Open access
- green
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- Deville, P., Linard, C., Martin, S., Gilbert, M., Stevens, F. R., Gaughan, A. E., Blondel, V. D., & Tatem, A. J. (2014). Dynamic population mapping using mobile phone data. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1408439111
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