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President’s Emergency Plan for AIDS Relief’s (PEPFAR) Use of Geospatial Data Dr. Paul S. Zeitz U.N. World Data Forum January 16, 2017

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President’s Emergency Plan for AIDS Relief’s (PEPFAR) Use of Geospatial Data

Dr. Paul S. ZeitzU.N. World Data Forum

January 16, 2017

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U.S. President’s Emergency Plan for AIDS Relief (PEPFAR)

• In 2003, President George W. Bush launched U.S. President’s Emergency Plan for AIDS Relief and launched the Global Fund to Fight AIDS, TB, & Malaria.

• PEPFAR is the largest commitment by any nation to combat a single disease.

• Reauthorized for 5 years by President Bush in 2008

• Reauthorized for 5 years by President Obama in 2014

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PEPFAR has transformed the way it is doing business by using open data at the center of decision-making, we are working with our partners to unleash innovation, improve efficiency and effectiveness to achieve the greatest impact forits investment.

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PEPFAR Targets

At UNGA 2015, President Obama set ambitious targets for PEPFAR. By the end of 2017, PEPFAR aims to:

• Support 12.9 million people on life-saving ART

• Provide 13 million male circumcisions• Reduce HIV incidence by 40 percent

among adolescent girls and young women within 10 African countries: Kenya, Lesotho, Malawi, Mozambique, South Africa, Swaziland, Tanzania, Uganda, Zambia, and Zimbabwe

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PEPFAR has a direct impact on SDGs:health, education, gender equality, reducing inequalities,

promoting peaceful and inclusive societies, and partnerships

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A data revolution is underway at the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR). We’re using data in transformational ways to prevent more HIV infections and save more lives, ensuring our investments have the greatest impact by targeting lifesaving interventions to the populations and places with the highest HIV/AIDS burden. By collecting local-level granular data, more frequently, and analyzing it through innovative approaches, we’re accelerating progress toward reaching the bold HIV prevention and treatment targets set by President Obama last September and, ultimately, achieving our globally agreed goal: end the AIDS epidemic by 2030.- Ambassador Deborah L. BirxApril 2016

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Harnessing the Data Revolution for the Sustainable Development Goals (SDGs)

• Two Major Tracks– MONITORING: Supporting and

complementing efforts already underway by governments to generate data for statistics for the formal SDG monitoring framework

– ACTION: Unleashing innovation on the use of real-time, dynamic, disaggregated data from multiple sources

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PEPFAR Data Sources• POART: Program Oversight and

Accountability Response Team• MER: Monitoring, Evaluation and

Reporting• SIMS: Site Improvement Through

Monitoring System• Expenditure Analysis• SID: Sustainability Index Dashboard• Surveys• New Sources: Citizen Feedback and

Mapping

.

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PEPFAR’s Mapathon Use Case

Better maps will improve:• our understanding of

program coverage• the optimization of

supply-chain logistics• the analysis of clinical

site-level data• Other?

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PEPFAR’s Mapathons: First Look • November – December 2016• First Ever Country-hosted World

AIDS Day Mapathon • Mapathons held in Tanzania, Kenya,

Uganda and the United States • Collaborations with YouthMappers,

HOT and the Tanzania Data Lab (dLab)

• Mapping of PEPFAR Priority Districts in Tanzania, Kenya and Uganda

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Siaya county, Kenya (October 2016)

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Siaya county, Kenya with Detail (January 2017)

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Rakai, Uganda (October 2016)

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Rakai, Uganda with Detail (January 2017)

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PEPFAR Priority District Mapping By the Numbers

• Under the #PEPFAR tag on OpenStreetMap, volunteer mappers have, to date: – Made 56,667 total edits– Added 46,463 buildings – Added 7,455 km of roads

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What’s Happening Now? MAPPING: Ongoing mapping underway through HOT Taskers; New

tasks will be added as current tasks are completed

VALIDATION: GIS specialists, Implementing partners and

YouthMappers are validating key features using spatial data from site

visits

LOCAL ENGAGEMENT: Local engagement and ownership of the map

= key objective

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Use of Mapping Data Upgraded maps in core system Geographic context for facility-level

indicator data

Underserved population, network and catchment area analysis underway

Supply chain & site visit optimization

Input to Oxford model on HIV prevalence, PLHIV, and incidence; helps

allocate population estimates

Improve coordination with other health interventions

Your ideas are welcome!17

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Data Revolution for an AIDS Free-Generation

For more information, please email

[email protected]