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MIDAS Webinar: Predicting the future to inform malaria policy-making in data-poor environments: Mathematical model development, information visualization and sustaining modeling-informed decision-making in Nigeria

February 25, 2022
online

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February 25, 2022
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online
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The MIDAS Webinar Series features research by MIDAS members, and is open to the public. 

Date: Friday, February 25th, 2022
Time: 12:00pm – 1:00pm Eastern (USA)

Topic: Predicting the future to inform malaria policy-making in data-poor environments: Mathematical model development, information visualization and sustaining modeling-informed decision-making in Nigeria.

Speaker: Dr. Ifeoma Ozodiegwu, Northwestern University

Abstract: Nigeria is the highest burden malaria country, accounting for 27 percent of all malaria cases and deaths. For the 2021 – 2025 National Malaria Strategic Plan (NMSP), the Nigerian Malaria Elimination Program, in partnership with the World Health Organization, developed a targeted approach to intervention deployment at the district level. However, the large number of districts, varying intervention scenarios per district, data needs and data paucity makes district-level tailoring of interventions a non-trivial task. In my talk, I will discuss my team’s approach for calibrating a well-mixed agent-based model of malaria transmission to predict the impact of proposed district-level intervention scenarios. Further, I describe how we mitigated the data challenges we encountered and made our modeling outputs accessible to support strategic planning and subsequent allocation of interventions in Nigeria’s new NSMP. Lastly, I share thoughts for sustaining modeling-informed decision-making for malaria in endemic countries. 

Bio: I am a Research Assistant Professor of Epidemiology in the Malaria Modeling Research Group at Northwestern University. My doctoral-level training was in applied epidemiology and I completed two years of postdoctoral training in applied mathematical modeling. My research focuses on developing quantitative frameworks for understanding malaria risk and interventions in endemic countries. I am principal investigator on a grant to develop the first mathematical model of malaria transmission for urban areas in Africa. 

 

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