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Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake
Introduction: Sudden impact disasters often result in the displacement of large numbers of people. These movements can occur prior to events, due to early warning messages, or take place post-event due to damages to shelters and livelihoods as well as a result of long-term reconstruction efforts. Di...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4779046/ https://www.ncbi.nlm.nih.gov/pubmed/26981327 http://dx.doi.org/10.1371/currents.dis.d073fbece328e4c39087bc086d694b5c |
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author | Wilson, Robin zu Erbach-Schoenberg, Elisabeth Albert, Maximilian Power, Daniel Tudge, Simon Gonzalez, Miguel Guthrie, Sam Chamberlain, Heather Brooks, Christopher Hughes, Christopher Pitonakova, Lenka Buckee, Caroline Lu, Xin Wetter, Erik Tatem, Andrew Bengtsson, Linus |
author_facet | Wilson, Robin zu Erbach-Schoenberg, Elisabeth Albert, Maximilian Power, Daniel Tudge, Simon Gonzalez, Miguel Guthrie, Sam Chamberlain, Heather Brooks, Christopher Hughes, Christopher Pitonakova, Lenka Buckee, Caroline Lu, Xin Wetter, Erik Tatem, Andrew Bengtsson, Linus |
author_sort | Wilson, Robin |
collection | PubMed |
description | Introduction: Sudden impact disasters often result in the displacement of large numbers of people. These movements can occur prior to events, due to early warning messages, or take place post-event due to damages to shelters and livelihoods as well as a result of long-term reconstruction efforts. Displaced populations are especially vulnerable and often in need of support. However, timely and accurate data on the numbers and destinations of displaced populations are extremely challenging to collect across temporal and spatial scales, especially in the aftermath of disasters. Mobile phone call detail records were shown to be a valid data source for estimates of population movements after the 2010 Haiti earthquake, but their potential to provide near real-time ongoing measurements of population displacements immediately after a natural disaster has not been demonstrated. Methods: A computational architecture and analytical capacity were rapidly deployed within nine days of the Nepal earthquake of 25th April 2015, to provide spatiotemporally detailed estimates of population displacements from call detail records based on movements of 12 million de-identified mobile phones users. Results: Analysis shows the evolution of population mobility patterns after the earthquake and the patterns of return to affected areas, at a high level of detail. Particularly notable is the movement of an estimated 390,000 people above normal from the Kathmandu valley after the earthquake, with most people moving to surrounding areas and the highly-populated areas in the central southern area of Nepal. Discussion: This analysis provides an unprecedented level of information about human movement after a natural disaster, provided within a very short timeframe after the earthquake occurred. The patterns revealed using this method are almost impossible to find through other methods, and are of great interest to humanitarian agencies. |
format | Online Article Text |
id | pubmed-4779046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47790462016-03-14 Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake Wilson, Robin zu Erbach-Schoenberg, Elisabeth Albert, Maximilian Power, Daniel Tudge, Simon Gonzalez, Miguel Guthrie, Sam Chamberlain, Heather Brooks, Christopher Hughes, Christopher Pitonakova, Lenka Buckee, Caroline Lu, Xin Wetter, Erik Tatem, Andrew Bengtsson, Linus PLoS Curr Research Article Introduction: Sudden impact disasters often result in the displacement of large numbers of people. These movements can occur prior to events, due to early warning messages, or take place post-event due to damages to shelters and livelihoods as well as a result of long-term reconstruction efforts. Displaced populations are especially vulnerable and often in need of support. However, timely and accurate data on the numbers and destinations of displaced populations are extremely challenging to collect across temporal and spatial scales, especially in the aftermath of disasters. Mobile phone call detail records were shown to be a valid data source for estimates of population movements after the 2010 Haiti earthquake, but their potential to provide near real-time ongoing measurements of population displacements immediately after a natural disaster has not been demonstrated. Methods: A computational architecture and analytical capacity were rapidly deployed within nine days of the Nepal earthquake of 25th April 2015, to provide spatiotemporally detailed estimates of population displacements from call detail records based on movements of 12 million de-identified mobile phones users. Results: Analysis shows the evolution of population mobility patterns after the earthquake and the patterns of return to affected areas, at a high level of detail. Particularly notable is the movement of an estimated 390,000 people above normal from the Kathmandu valley after the earthquake, with most people moving to surrounding areas and the highly-populated areas in the central southern area of Nepal. Discussion: This analysis provides an unprecedented level of information about human movement after a natural disaster, provided within a very short timeframe after the earthquake occurred. The patterns revealed using this method are almost impossible to find through other methods, and are of great interest to humanitarian agencies. Public Library of Science 2016-02-24 /pmc/articles/PMC4779046/ /pubmed/26981327 http://dx.doi.org/10.1371/currents.dis.d073fbece328e4c39087bc086d694b5c Text en © 2016 Wilson, zu Erbach-Schoenberg, Albert, Power, Tudge, Gonzalez, Guthrie, Chamberlain, Brooks, Hughes, Pitonakova, Buckee, Lu, Wetter, Tatem, Bengtsson, et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Wilson, Robin zu Erbach-Schoenberg, Elisabeth Albert, Maximilian Power, Daniel Tudge, Simon Gonzalez, Miguel Guthrie, Sam Chamberlain, Heather Brooks, Christopher Hughes, Christopher Pitonakova, Lenka Buckee, Caroline Lu, Xin Wetter, Erik Tatem, Andrew Bengtsson, Linus Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake |
title | Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake |
title_full | Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake |
title_fullStr | Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake |
title_full_unstemmed | Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake |
title_short | Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake |
title_sort | rapid and near real-time assessments of population displacement using mobile phone data following disasters: the 2015 nepal earthquake |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4779046/ https://www.ncbi.nlm.nih.gov/pubmed/26981327 http://dx.doi.org/10.1371/currents.dis.d073fbece328e4c39087bc086d694b5c |
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