Since the early days of the COVID-19 pandemic, many organizations have been using epidemiological and operational modeling to predict the spread of the novel coronavirus and estimate the impact of different control measures.
With the development of multiple vaccine candidates, new questions have now arisen as to how policymakers can ensure cost-effective COVID-19 vaccine deployment and allocation that considers both operational constraints (e.g., in-country cold chain) and epidemiological characteristics (e.g., seroprevalence, social mixing, age-stratification, co-morbidities)
In this event, study groups will present and disseminate results that tackle a diverse range of research questions focussing on COVID19 vaccine deployment and allocation. A more comprehensive discussion will follow, focussing on how decision-makers can consider epidemiological and operational modeling evidence to inform cost-effective COVID-19 vaccine deployment and distribution and highlight potential future steps and generalizable lessons for low- and middle-income countries (LMICs).
CHAIR
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Javier Guzman, Director, Global Health Policy Program and Senior Policy Fellow, Center for Global Development
PRESENTERS
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Nimalan Arinaminpathy, Professor of Mathematical Epidemiology, MRC Center for Global Infectious Disease Analysis, Imperial College London
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Sripad Devalkar, Associate Professor of Operations Management, Indian School of Business
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Sidharth Rupani, Senior Director – Global Impact (Engagement Management), Coupa Software
If you have questions for our panelists, please submit them to events@cgdev.org, tweet @CGDev #CGDTalks
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