Equitably equipping the response to conflicts and pandemics
In this seminar, I will reflect on my experiences of how evidence-based decision making during public health crises has worked, when it has not, and how it has shaped the areas of research I am excited by, particularly in the effort to achieve greater equity in global and local responses. This focuses on how creating new data in resource poor settings, creative uses of alternative data when traditional data is scarce, and creating tools to democratise data analysis. I will explore each of these through three recent or ongoing case studies from my work and again reflect on why they worked, did not work or may not work: 1) COVID-19 modelling in Damascus, Syria; 2) Simulation-Based evaluation of the causal drivers and feasibility of indirect mortality estimation in Gaza; and 3) Surrogate modelling of malaria ABMs to support WHO drug and diagnostic policy.
Location: White City, School of Public Health Building
Room: SPH 202 – Seminar Room
In-person event. If you wish to join online, please register here