Flowminder
Last updated on February 12, 2017
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  • 800+ Downloads
    Updated February 12, 2017 | Dataset date: Feb 10, 2017
    This dataset updates: Never
    Here we provide poverty data created using Bayesian model-based geostatistics in combination with high resolution gridded spatial covariates and aggregated mobile phone data applied to geolocated household survey data on poverty from the DHS wealth index (2011), the Progress out of Poverty Index (2014), and household income (2013). Citation: Steele, J. E. et al. Mapping poverty using mobile phone and satellite data. J. R. Soc. Interface 14, 20160690 (2017). Online here: http://rsif.royalsocietypublishing.org/content/14/127/20160690
  • 300+ Downloads
    Updated November 25, 2016 | Dataset date: Nov 22, 2016
    This dataset updates: Never
    Estimated population movement in Haiti as of 22 November 2016. The estimated distribution of people for whom their home Commune/Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 22 November had moved to another Commune/Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and in the week up to 22 November 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.
  • 200+ Downloads
    Updated November 21, 2016 | Dataset date: Nov 8, 2016
    This dataset updates: Never
    Estimated population movement in Haiti as of 8 November 2016. The estimated distribution of people for whom their home Commune/Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 8 November had moved to another Commune/Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and in the week up to 8 November 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.
  • 400+ Downloads
    Updated November 4, 2016 | Dataset date: Oct 24, 2016
    This dataset updates: Never
    Summary of estimated population movement in Haiti as of 24 October 2016. The estimated distribution of people for whom their home Section Communale in the pre-hurricane period was in either Grande Anse, Sud or Nippes départment, and as of 24 October had moved to another Section Communale. Estimates are based on movements of de-identified Digicel SIM cards which made or received at least one call pre-hurricane and on 24 October 2016. The SIM card movements are combined with available population data derived from estimates for the year 2015.
  • 200+ Downloads
    Updated October 31, 2016 | Dataset date: Oct 25, 2016
    This dataset updates: Never
    Summary of Digicel Haiti mobile network functionality as of 25th October 2016. Proportion of Digicel Haiti network (radio cells) with normal function per commune (admin level 2) as of 25th October 2016. French version provided.
  • 400+ Downloads
    Updated October 16, 2016 | Dataset date: Oct 15, 2016
    This dataset updates: Never
    Summary of Digicel Haiti mobile network functionality as of 15th October 2016. Proportion of Digicel Haiti network (radio cells) with normal function per commune (admin level 2) as of 15th October 2016. French version provided.
  • 1200+ Downloads
    Updated July 17, 2016 | Dataset date: Aug 24, 2015
    This dataset updates: Never
    Data on abnormal population movements due to the Nepal earthquake of April 2015
  • 100+ Downloads
    Updated November 24, 2015 | Dataset date: Jan 1, 2013-Apr 1, 2014
    This dataset updates: Never
    Here we provide version 1 Flowminder (www.flowminder.org) human mobility models for West Africa, together with WorldPop population density data for the region, to support ongoing efforts to control the ebola outbreak. Before downloading any data, please read the documention carefully as it provides details on the datasets and models provided through the links below. The mobility data refer to estimated patterns before the Ebola outbreak and should be interpreted with caution for Ebola affected countries as mobility patters are known to have changed. Additional discussion by the authors around the use of mobile operator data for epidemilogical research see: http://currents.plos.org/outbreaks/article/containing-the-ebola-outbreak-the-potential-and-challenge-of-mobile-network-data/