WHO-malaria - World Health Organization Resource Allocation...

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World Health Organization Resource Allocation for Malaria Prevention November 2008 Michele Cataldi • Christina Cho • Cesar Gutierrez • Jeff Hull • Phillip Kim • Andrew Park Sponsor Contact: Jason Pickering, PhD. Faculty Advisor: Julie Swann, PhD. Disclaimer: This document has been created in the framework of a senior design project. The Georgia Institute of Technology does not of icial y sanction its content. ¼ Client Background ¼ Pb l D i t i Agenda Problem Description ¼ Solution Strategy ¼ Model ¼ Deliverables 2 World Health Organization ¼ Value
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¼ World Health Organization • Responsible for providing leadership to all UN member nations on global health matters Client Background ¼ Public Health Mapping Group • Data analysis, process and visualization via Geographic Information Systems (GIS) 3 World Health Organization ¼ Malaria • 300-500 million cases per year and over 1 million deaths • Prevention methods Problem Description Prevention methods • Indoor Residual Spraying (IRS) • Long-Lasting Insecticide Treated Bed Nets (LLIN) ¼ No existing procedure for optimal allocation of limited prevention resources • Arbitrary distribution 4 World Health Organization • Detrimental effects of excessive spraying
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5 World Health Organization Malaria Season 6 World Health Organization
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¼ Create a systems-based approach to minimize the incidence of malaria with limited resources. Solution: Strategy ¼ Swaziland as pilot country • Historical data availability • Wide range of conditions 7 World Health Organization ht p:/ www.mara.org.za/ ht p:/ en.wikipedia.org/wiki/Swaziland Data Sources ¼ Mapping Malaria Risk in Africa (MARA) • Percentage risk estimation by region • 5x5 km spatial resolution 5x5 km spatial resolution • Start and end months of high malaria transmission 8 World Health Organization ht p:/ www.mara.org.za/ ht p:/ www.mara.org.za/
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Data Sources ¼ HealthMapper 9 World Health Organization Facility Infrastructure Road Infrastructure Data Sources ¼ Costs and other intervention data • World Health Organization Malaria Costing Tool • UN Millennium Project UN Millennium Project 10 World Health Organization
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Model Objective ¼ An optimization model will allow for a systems-based approach to resource allocation and deployment for malaria prevention. ¼ Decisions include: • Where to locate Distribution Centers (DCs) • How many DCs to open • When DCs should be open 11 World Health Organization • What regions DCs should serve • When to cover each zone • Number of people to protect in each zone • Labor, trucks, equipment, insecticide/nets to base at DCs • Labor, trucks, equipment to allocate to each zone Model Overview DC Zone Resource Placement Heuristic Assignment Heuristic Deployment Model 12 World Health Organization Decision Tool
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DC Placement Heuristic ¼ Potential locations for DCs • Factors considered: • Population • Malaria risk • Infrastructure ¼ Scalable for other countries •D istance constraints adjusted by estimated area 13
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WHO-malaria - World Health Organization Resource Allocation...

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