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Mathematics and Covid-19

Participating journal: Bulletin of Mathematical Biology
Throughout 2020, the Canadian Centre for Disease Modeling (CCDM), together with the Chinese Society for Mathematical Biology (CSMB), ran a weekly distinguished lecture series, “Mathematics and COVID-19”, to promote the application of mathematics and mathematical modelling in combating the COVID-19 pandemic. This special issue of the Bulletin of Mathematical Biology showcases work by speakers, panelists and organisers of the lecture series, examining how mathematics can help understand the transmission of SARS-CoV-2 to inform public health policy decision making.

Participating journal

As the official journal of the Society for Mathematical Biology, this journal shares research at the biology-mathematics interface.

Editors

  • Professor Julien Arino

    Professor Julien Arino

    Julien Arino is a Professor in the Department of Mathematics at the University of Manitoba. His research interests are in mathematical population dynamics, with special focus on epidemiology and the movement of populations. In recent years, he has also become interested in Open Data and its use in mathematical epidemiology. He is a member of the editorial board of several journals, including the Bulletin of Mathematical Biology.
  • Professor Jaques Bélair

    Professor Jaques Bélair

    Jacques Bélair, Professor of Applied Mathematics and member of the CRM at Université de Montréal. He has served as associate director of CRM, Vice-Dean of Faculty of Graduate and Postdoctoral Studies and President of Canadian Applied and Industrial Mathematics Society (CAIMS). His research involves mathematical modeling of dynamic regulatory processes in biology, with emphasis on the influence of time delays; he has published on cardiac arrhythmias, motor and balance control, hematopoiesis and infectious diseases. He is currently a member of the Canadian Mathematical Modeling of COVID-19 Task Force.
  • Professor Jingan Cui

    Professor Jingan Cui

    Jingan Cui is a Professor in the Mathematics Department at Beijing University of Civil Engineering and Architecture. He is an expert in both population dynamics and infectious disease dynamics. His main research fields include meta-population modeling, infectious disease modeling, zoonosis modeling. In the research of infectious diseases such as Covid-19, he has been working on the prediction of population infection scale and vaccination modeling.
  • Professor Meng Fan

    Professor Meng Fan

    Meng Fan is the Dean of the School of Mathematics and Statistics and Director of Center for Mathematical Biosciences at Northeast Normal University in China. From NENU, he received his B.Sc in 1995, M.Sc. in 1998, and Ph.D in 2001. He became an Assistant Professor in 1998, Associate Professor in 2000, and Full Professor in 2003. Dr. Fan authors 150 refereed journal papers and 8 books/special issues. He has directed 17 Ph.D dissertations in mathematical biology. His current research interests are dynamical modeling of zoonotic diseases, new emerging infectious diseases, and aquatic ecosystems.
  • Professor Jane M. Heffernan

    Professor Jane M. Heffernan

    Jane Heffernan is a full Professor in the Mathematics & Statistics Department at York University, in the Canadian Centre for Disease Modelling. Dr Heffernan is an expert in multi-scale modelling modelling of infectious diseases (immunology and epidemiology). Her work has a particular focus on the dynamics and effects of immunity, in development, and boosting from infection and vaccination, and in waning immunity. During COVID-19, Dr Heffernan has been working in healthcare demand forecasting, and in infection and vaccination modelling in hosts and in populations
  • Professor Zhen Jin

    Professor Zhen Jin

    Dr. Zhen Jin is Professor of mathematics of Shanxi University. He is the Complex Systems Research Center director and the head of the Shanxi Provincial Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention. His research covers a broad field of dynamical systems and mathematical biology. Over 30 years, he has contributed to modeling and analyzing infectious disease transmission dynamics, pattern dynamics of spatial transmission, transmission dynamics on complex networks, and real-time predictive modeling and forecasting infectious diseases.
  • Professor James Watmough

    Professor James Watmough

    James Watmough is a Professor in the Department of Mathematics and Statistics at the University of New Brunswick. He has been a member of the Canadian Centre for Disease Modelling since its inception and more recently, a member of the Canadian COVID-19 Math Modelling Task Force. His research interests include mathematical modelling of ecological systems with a focus on the role of heterogeneity in the spread of infectious diseases, biological invasions, and more recently virus and immune system dynamics.
  • Professor Yanni Xiao

    Professor Yanni Xiao

    Dr Yanni Xiao, a full Professor in the School of Mathematics & Statistics at Xi'an Jiaotong University, Xi’an, China, and Director of the Interdisciplinary Research Center of Mathematics and Life Sciences. Dr Xiao has collaborated with China CDC on modeling HIV/AIDS infection as a PI of the sub-project of National Mega-project of Science Research, with Chinese PLA on modelling hospital infection. She has served as PI for several NSFC grants including a key program. Her research focuses on modeling the infectious disease at multi-scale levels, predicting and assessing the efficacy of interventions, and providing the basis for decision-makers.
  • Professor Huaiping Zhu

    Professor Huaiping Zhu

    Professor, and York Research Chair in Applied Mathematics of York University. He is the Director of the Centre for Diseases Modeling (CDM) at York University. His research interests include dynamical systems and Hilbert's 16th problem; bifurcation theory and applications; mathematical ecology and epidemiology; climate change modeling and impact studies. He develops mathematical models, theories, methodologies and tools for prevention and control of infectious diseases.

Articles

Showing 1-14 of 14 articles

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