The University of Southampton
University of Southampton Institutional Repository

Remotely measuring populations during a crisis by overlaying two data sources

Remotely measuring populations during a crisis by overlaying two data sources
Remotely measuring populations during a crisis by overlaying two data sources

Background Societal instability and crises can cause rapid, large-scale movements. These movements are poorly understood and difficult to measure but strongly impact health. Data on these movements are important for planning response efforts. We retrospectively analyzed movement patterns surrounding a 2010 humanitarian crisis caused by internal political conflict in Côte d'Ivoire using two different methods.


Methods We used two remote measures, nighttime lights satellite imagery and anonymized mobile phone call detail records, to assess average population sizes as well as dynamic population changes. These data sources detect movements across different spatial and temporal scales.


Results The two data sources showed strong agreement in average measures of population sizes. Because the spatiotemporal resolution of the data sources differed, we were able to obtain measurements on long- and short-term dynamic elements of populations at different points throughout the crisis.


Conclusions Using complementary, remote data sources to measure movement shows promise for future use in humanitarian crises. We conclude with challenges of remotely measuring movement and provide suggestions for future research and methodological developments.
crisis, mobile phones, movement, population density, satellite imagery
1876-3413
90-98
Bharti, N.
14714667-2a53-46e3-90fc-357a264dbdbc
Lu, X.
8a249ba9-6273-4b53-8cf8-ffcd51be627a
Bengtsson, L.
ddd51250-2064-4a6d-9672-392bfae5bd83
Wetter, E.
a96d0a7f-78d2-4198-8d21-4425fb1b3668
Tatem, A.J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Bharti, N.
14714667-2a53-46e3-90fc-357a264dbdbc
Lu, X.
8a249ba9-6273-4b53-8cf8-ffcd51be627a
Bengtsson, L.
ddd51250-2064-4a6d-9672-392bfae5bd83
Wetter, E.
a96d0a7f-78d2-4198-8d21-4425fb1b3668
Tatem, A.J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Bharti, N., Lu, X., Bengtsson, L., Wetter, E. and Tatem, A.J. (2015) Remotely measuring populations during a crisis by overlaying two data sources. [in special issue: Digital Methods in Epidemiology] International Health, 7 (2), 90-98. (doi:10.1093/inthealth/ihv003).

Record type: Article

Abstract


Background Societal instability and crises can cause rapid, large-scale movements. These movements are poorly understood and difficult to measure but strongly impact health. Data on these movements are important for planning response efforts. We retrospectively analyzed movement patterns surrounding a 2010 humanitarian crisis caused by internal political conflict in Côte d'Ivoire using two different methods.


Methods We used two remote measures, nighttime lights satellite imagery and anonymized mobile phone call detail records, to assess average population sizes as well as dynamic population changes. These data sources detect movements across different spatial and temporal scales.


Results The two data sources showed strong agreement in average measures of population sizes. Because the spatiotemporal resolution of the data sources differed, we were able to obtain measurements on long- and short-term dynamic elements of populations at different points throughout the crisis.


Conclusions Using complementary, remote data sources to measure movement shows promise for future use in humanitarian crises. We conclude with challenges of remotely measuring movement and provide suggestions for future research and methodological developments.

Full text not available from this repository.

More information

Accepted/In Press date: 15 January 2015
Published date: March 2015
Keywords: crisis, mobile phones, movement, population density, satellite imagery
Organisations: WorldPop, Population, Health & Wellbeing (PHeW)

Identifiers

Local EPrints ID: 374816
URI: http://eprints.soton.ac.uk/id/eprint/374816
ISSN: 1876-3413
PURE UUID: cec1f7ca-a28d-4dca-810b-28ea9021e7e6
ORCID for A.J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 03 Mar 2015 14:22
Last modified: 26 Nov 2019 01:37

Export record

Altmetrics

Contributors

Author: N. Bharti
Author: X. Lu
Author: L. Bengtsson
Author: E. Wetter
Author: A.J. Tatem ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×