BENGTSSON-Big Data in the Service of Humanitarian Operations
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Transcript of BENGTSSON-Big Data in the Service of Humanitarian Operations
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Big Data in the Service of �Humanitarian Operations
Linus Bengtsson, MD�[email protected] �[email protected]
Big Data and Real Time Analytics Virtual Workshop UNICEF/UN Global Pulse �
26 July, 2012
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Methods
• 1.9 million anonymous SIM cards
• Ratio of the SIM cards to the adult population in Port-au-Prince: 50%
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Movements of SIM cards out of �Cholera Outbreak Area
Source: Bengtsson, Lu et al. PLoS Medicine
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Comparison with Estimates �Used in Haiti
Source: Bengtsson, Lu et al. PLoS Medicine
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Comparison with UNFPA Retrospective Household Survey
Source: Bengtsson, Lu et al. PLoS Medicine
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Flowminder.org: Development and Implementation of the Method
in Dialogue with Global Pulse, other UN Agencies and Cell Phone Operators
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✴ Key Vulnerable groups: - The poorest - Children <5Y and unaccompanied - Women (pregnant, lactating) - The elderly ✴ Phone charging/power failures ✴ Network damages/coverage
Representativeness, RepresentativenessRepresentativeness
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The Future: Prediction
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✴ Can population movements predict epidemic spread of
cholera and other diseases?
✴ Malaria elimination strategies and mobility
✴ Mobility of unvaccinated populations
Mobility and Communicable Diseases