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Public Health and RealOpt

Public Health and RealOpt. Introduction Objectives & Challenges Solutions OR Models Computational Advances Benefits Future Outlook and Challenges. CONTENT. What kind of catastrophes? Biological Disasters Radiological Disasters Chemical Disasters Earthquakes Floods Tsunamis Fires

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Public Health and RealOpt

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  1. PublicHealthandRealOpt

  2. Introduction • Objectives & Challenges • Solutions • OR Models • Computational Advances • Benefits • Future Outlook and Challenges CONTENT

  3. What kind of catastrophes? Biological Disasters Radiological Disasters Chemical Disasters Earthquakes Floods Tsunamis Fires Epidemics Tropical cyclones Constraints • Time • Staff • Financial Resources • Medical equipment • Geographic availability The Overall Picture

  4. RealOpt combines… • Large scale computational engine • Advanced graph drawing tools • 3D geographical spatial information • Federal census data • Demographic and socioeconomic data What is RealOpt?

  5. Dynamic operational planning and execution • Strategic and tactical decision making • Policy making • Establishment of knowledge database Facilities & Content

  6. POD : Point of dispensing service • Walk-in • Drive-through • Mobile • Private • Dispensing to large area • Scarce staffing • Tight timing • Feasibility in terms of people hour • Cycle time of implementation • Decentralized US health system • Non-standardized operations Challenges

  7. OR Models Cognitive-analytic systems Can be used by large audience system Automatic translation from mouse clicks Easy user interfaces Effective cognitive-analytic integration • Large scale simulator optimizer • Real time nonlinear mixed integer program resource allocation capability • Real time simulator • Optimization theory • Large scale optimizer • Rapid heuristic Solutions

  8. POD Module

  9. Facility Location Module • Determines • #of PODsthat should be set up • Assignmentof households tobe serviced by each site • Region • Seperatedand discretizedstrategically based on population density • Constraints • Physicallimitations at each site • Householdassignments • Householdtravel time • Household distanceto the POD Regional Network

  10. Facility Location Module 1st Stage • Optimizes thenumber of facilities opened 2nd Stage • Optimizesthe time and distance traveled The results are very large-scale instances withthe number of 0-1 decision variables ranging from40 thousand to 10 million. Regional Network

  11. SolutionStrategies forReal-TimeDecisionMaking • Developa theorybased on conflict hyper graph structures and apply branch-and-cut techniques to exactly solveour problems • We develop rapid heuristicsthat can achieve near-optimal solutions for real-timeonline decision support. • A site with a high pediatric population needsextra pharmacy and medical personnel because eachdose must be calculated based on the weight of eachchild. • A site with a low socioeconomic populationmay require buses to transport citizens to the PODand may require additional staff to help people fillout paperwork. Some Critical Features for Medical Preparedness Regional Network

  12. The PODs that serve Los Angeles

  13. Demographicsfor one POD in Los Angeles

  14. First implementation – 2004 • For a chosen pilot countywithpoorrecords • Afterimplementation– highestscoreswithfeweststaff • Nationwidepublic dissemination of theRealOpt - 2007 Public Dissemination

  15. Quantative Qualitative • Widespread adoption • Use in planning and actual operations • Preventing illness and saving lives • Reduction of labor requirements and number of dispensingfacilities • Establishment of knowledge data bank • National security and emergency response capability • Quality assurance and training • Quality of service and worker morale • Reduction in planning time • OR scientific and technology advances Benefits

  16. Quantitiesof supplies at the Haiti airport Beyond Public Health

  17. Distributionpaths and supply items at thePort au Prince airport Beyond Public Health

  18. By RealOpt’smodular structure, it • Allows newtechnologies • Allowsnew components to be incorporatedeasily • Benefits from OR advances Continuing to validate and testis necessarytomaintain • Relevance • quality • practicality of RealOpt’s output Future Outlook and Challenges

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