improving food aid distribution through photo verification
TRANSCRIPT
JOHN SNOW, INC.
Improving Food Aid Distribution through Photo Verification Leona Rosenblum Global mHealth Forum National Harbor, 2014
JOHN SNOW, INC.
Defining the Problem
Food aid distribution is complex and difficult to track
A good food aid Commodity Management System prevents losses by removing ambiguity
At the center of the system are beneficiaries-the goal is ensuring that commodities reach them.
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LAUNCH Project Context Goal: improve food security and reduce chronic malnutrition in Liberia
Distributes supplementary food rations to pregnant women and children under two
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graphic or photo.
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Beneficiary Registration: from paper to Magpi Paper registration: slow and
inaccurate Began using Magpi in April
2012 Wait time dropped from
14.1 weeks to 4.7 weeks
Mobile registration reduced the wait time for new beneficiaries by two thirds.
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Why Innovate Distribution? System remained paper based Non-verifiable thumb prints Easily transferrable paper
tickets Time consuming and unwieldy
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Photo-based and Paperless Mobile data collection platform + photos creates a powerful tool Photos act as unique ID and allow for
accurate verification at point of distribution and at HQ Improve efficiency of distributions and
decrease reporting time
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graphic or photo.
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Photo Distribution
With a photo for every eligible recipient: Barcode scan to bring up the
correct ration card Selection of household member
by name and photo New photo for verification Ration size confirmed GPS coordinates
Name
Name 2
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Photo Verification
Records uploaded to SurveyCTO server, downloaded and imported to Access database where visual verification process then generates report.
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Test the new concept
Two Food Distribution Points, >400 beneficiaries 11 Project staff trained Forms built on SurveyCTO Run off of Google Nexus 7
Photos were added to registration, distribution and verification systems.
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Preliminary Results Photo registration, distribution, and verification were all feasible and easy to use.
Early evidence shows that the tablet-based photo system improved accuracy and speed of distribution and reporting
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Challenges & Lessons Learned Ebola outbreak
Photo sizes/upload download times
Manual, non-automated processes
Privacy questions
Changes to Head of Household
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What’s next? Integration and Automation In the context of the Ebola epidemic, is a non-touch identification system more important than ever? For a system like this to work on larger scale, importing new photos and loading the months photos on a tablet must be simplified. We are envisioning and integrated application for the future.
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graphic or photo.