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Big Data in the Service of Humanitarian Operations Linus Bengtsson, MD linus.bengtsson@flowminder....
Methods•  1.9 million anonymous SIM cards•  Ratio of the SIM cards to the adultpopulation in Port-au-Prince: 50%
Movements of SIM cards out of Cholera Outbreak Area Source: Bengtsson, Lu et al. PLoS Medicine
Comparison with Estimates Used in Haiti Source: Bengtsson, Lu et al. PLoS Medicine
Comparison with UNFPA Retrospective Household Survey Source: Bengtsson, Lu et al. PLoS Medicine
Flowminder.org: Development and Implementation of the Methodin Dialogue with Global Pulse, other UN Agencies and Cell ...
Representativeness, Representativeness
 Representativeness ✴  Key Vulnerable groups:
 - The poorest
 - Children 5Y...
The Future: Prediction
Mobility and Communicable Diseases ✴  Can population movementspredict epidemic spread ofcholera and other diseases? 
✴  Ma...
BENGTSSON-Big Data in the Service of  Humanitarian Operations
BENGTSSON-Big Data in the Service of  Humanitarian Operations
BENGTSSON-Big Data in the Service of  Humanitarian Operations
BENGTSSON-Big Data in the Service of  Humanitarian Operations
BENGTSSON-Big Data in the Service of  Humanitarian Operations
BENGTSSON-Big Data in the Service of  Humanitarian Operations
BENGTSSON-Big Data in the Service of  Humanitarian Operations
BENGTSSON-Big Data in the Service of  Humanitarian Operations
BENGTSSON-Big Data in the Service of  Humanitarian Operations
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BENGTSSON-Big Data in the Service of  Humanitarian Operations

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http://www.unglobalpulse.org/unicef-virtualworkshop

Dr. Linus Bengtsson - a clinical epidemiologist – discussed his work with mobile phone networks to effectively track population movements following the Haiti Earthquake. The data collected assisted the more efficient distribution of humanitarian relief to populations in need. His new organization, Flowminder, based in Stolkholm Sweden, is establishing a global clearinghouse for aggregating, analyzing, and disseminating anonymized mobile phone location data to NGOs and relief agencies during disaster relief and reconstruction efforts.

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BENGTSSON-Big Data in the Service of  Humanitarian Operations

  1. 1. Big Data in the Service of Humanitarian Operations Linus Bengtsson, MD linus.bengtsson@flowminder.org linus.bengtsson@ki.se Big Data and Real Time Analytics Virtual Workshop UNICEF/UN Global Pulse 26 July, 2012
  2. 2. Methods•  1.9 million anonymous SIM cards•  Ratio of the SIM cards to the adultpopulation in Port-au-Prince: 50%
  3. 3. Movements of SIM cards out of Cholera Outbreak Area Source: Bengtsson, Lu et al. PLoS Medicine
  4. 4. Comparison with Estimates Used in Haiti Source: Bengtsson, Lu et al. PLoS Medicine
  5. 5. Comparison with UNFPA Retrospective Household Survey Source: Bengtsson, Lu et al. PLoS Medicine
  6. 6. Flowminder.org: Development and Implementation of the Methodin Dialogue with Global Pulse, other UN Agencies and Cell Phone Operators
  7. 7. Representativeness, Representativeness
 Representativeness ✴  Key Vulnerable groups:
 - The poorest
 - Children 5Y and unaccompanied
 - Women (pregnant, lactating)
 - The elderly✴  Phone charging/power failures✴  Network damages/coverage
  8. 8. The Future: Prediction
  9. 9. Mobility and Communicable Diseases ✴  Can population movementspredict epidemic spread ofcholera and other diseases? 
✴  Malaria elimination strategiesand mobility
✴  Mobility of unvaccinatedpopulations


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