Javier Guzman, Director, Global Health Policy Program and Senior Policy Fellow, Center for Global Development
Nimalan Arinaminpathy, Professor of Mathematical Epidemiology, MRC Center for Global Infectious Disease Analysis, Imperial College London
Sripad Devalkar, Associate Professor of Operations Management, Indian School of Business
Sidharth Rupani, Senior Director – Global Impact (Engagement Management), Coupa Software
Wanrudee Isaranuwatchai, Director of Health Intervention and Technology Assessment Program (HITAP), Ministry of Public Health, Thailand
Justice Nonvignon, Head of Health Economics Unit, Africa Centres for Disease Control & Associate Professor and Health Economist at the School of Public Health, University of Ghana, Legon.
Zulma Cucunubá, Associate Professor, Department of Epidemiology and Biostatistics at Pontificia Universidad Javeriana, Colombia
Hiral Anil Shah, Senior Policy Analyst, Center for Global Development
ABOUT THE EVENT
Since the early days of the COVID-19 pandemic, many organizations have been using epidemiological and operational modelling to predict the spread of the novel coronavirus as well as 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 or human resources for healthcare capacity) and epidemiological characteristics (e.g., seroprevalence, social mixing, age-stratification, comorbidities, vaccine stretching etc).
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 wider discussion will follow focussing on how decision makers can consider epidemiological and operational modelling evidence to inform cost-effective COVID-19 vaccine deployment and allocation and highlight potential future steps and generalisable lessons for low- and middle-income countries.
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