{"72660":{"#nid":"72660","#data":{"type":"event","title":"Faculty Candidate Seminar - Resource Allocation for Infectious Disease Control","body":[{"value":"\u003Cp\u003ETITLE: Resource Allocation\nfor Infectious Disease Control\u003C\/p\u003E\u003Cp\u003ESPEAKER: Sabina Alistar, Stanford Univ.\u003C\/p\u003E\u003Cp\u003EABSTRACT:\u003C\/p\u003E\u003Cp\u003EOperations research and mathematical modeling can play a key\nrole in informing high-cost, high-impact health policy decisions. This talk\ndescribes my research on resource allocation for infectious disease control. Resource\nallocation is especially difficult in this context because epidemics are\nnonlinear (preventing one infection now may prevent scores of future\ninfections); interventions usually do not have additive effects, and the\nrelationship between investment and outcomes is generally nonlinear; in\naddition, epidemics vary across settings in terms of transmission modes and key\nrisk groups. \u003C\/p\u003E\n\n\u003Cp\u003EIn\ntheoretical work, I address the gap between epidemiological measures and the\nresource allocation decision. I present a new theoretical framework that\nquantifies the effects of investment in treatment and prevention interventions\non a key epidemiological parameter, the reproductive rate of infection, which\nmeasures an outbreak\u2019s potential for becoming an epidemic. The approach\naccounts for nonlinearities of intervention scale-up effects. I develop\nanalytical results characterizing the optimal solution and present illustrative\nexamples with data for Uganda\nand Russia. I further extend\nthe framework to consider the optimal control in time of various\nepidemiological parameters. \u003C\/p\u003E\n\n\u003Cp\u003EIn\npractical work, in collaboration with the United Nations AIDS Programme\n(UNAIDS) I have created\na spreadsheet-based planning tool\nfor use by planners around the world in evaluating investment portfolios for\nHIV control. The tool is designed to be easy to use, includes\noptimization capability, and accounts for non-additive and nonlinear effects of\ninterventions.\u0026nbsp; I describe my ongoing\nwork with UNAIDS decision makers to test and implement the model for regional\nand country-level HIV resource allocation.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Resource Allocation for Infectious Disease Control"}],"uid":"27187","created_gmt":"2011-11-14 15:37:59","changed_gmt":"2016-10-08 01:56:37","author":"Anita Race","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2011-12-09T10:00:00-05:00","event_time_end":"2011-12-09T11:00:00-05:00","event_time_end_last":"2011-12-09T11:00:00-05:00","gmt_time_start":"2011-12-09 15:00:00","gmt_time_end":"2011-12-09 16:00:00","gmt_time_end_last":"2011-12-09 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJennifer Harris\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}