Free webinar: The impact of Covid-19 vaccination scale and pathogenic mutations on disease transmission

Published 30 March, 2021

Wednesday, 7 April 2021 | 9 a.m. Beijing

It is more than a year since the first cases of COVID-19 were reported. In that time, the virus has caused high mortality and tremendous interruptions to socio-economic activity. There is finally light at the end of the tunnel due to unprecedented progress in SARS-CoV-2 vaccine research and development. Large-scale vaccination programmes have been launched; most in developed countries, some in middle-income countries and a few in developing countries. However, the current approved vaccines can only provide 50-95% protection in preventing symptomatic COVID-19 diseases. This figure is much lower when it comes to reducing SARS-CoV-2 infection. It is of great interest to model and evaluate the impact of different COVID-19 vaccines and vaccination programmes (by country, region, global level and allocation) on both the disease burden and the virus pandemic. This information is urgently needed by health authorities at national and international levels for coordinated, global COVID-19 control efforts.

At the same time, the emergence of new coronavirus strains may affect the current vaccine efficacy (if not now, possibly in the future). It is necessary to evaluate these changes and their impacts on the current non-pharmaceutical interventions and vaccines.

Join our experts at the free webinar as we discuss the forthcoming special issue from Infectious Disease Modelling on the impact of Covid-19 vaccination scale and pathogenic mutations on disease transmission.

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Expert Speakers

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Prof. Jianhong Wu, Editor-in-Chief, Infectious Disease Modelling
Department of Mathematics and Statistics, York University, Toronto, Canada

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Prof. Yiming ShaoEditor-in-Chief, Infectious Disease Modelling
National Center for AIDS/STD Control and Prevention, Chinese Center for Disease Control and Prevention(China CDC), Beijing, China

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Dr. Yijun Lou, Associate Editor, Infectious Disease Modelling
Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China

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Dr. Daihai He, Associate Editor, Infectious Disease Modelling
Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China

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Prof. Abba Gumel
School of Mathematical and Statistical Science, Arizona State University, USA

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