Organised by Dr. Rachel McMullan, Lecturer in health sciences at The Open University; the following video is a recording of OU experts discussing their research and engagement work around the current COVID-19 pandemic.
The panel consisted of:
- Dr. Jon Golding - a senior lecturer in health sciences, who discussed the articles he and his colleagues wrote on OpenLearn to aid a general understanding of the underlying biology of viral infections. For example, what is a virus? How does the human body fight a viral infection?
- Prof. David Male - a professor of biology, whose area of research is the immunology of infection. He addressed some of the common questions regarding immunity, such as, what happens when the virus infects us? Can we get immunity from COVID-19 after an infection?
- Prof. Harith Alani - a professor of web science at the Knowledge Media Institute, who is working on the modelling of social and communication aspects on the population spread of COVID-19, in particular, the spread of misinformation around COVID-19 among the public.
- Dr. Helen Wimalarathna - a lecturer in health sciences, who works as an infectious disease epidemiologist, and is currently busy with public engagement on the understanding of scientific facts and avoiding scientific misunderstanding around COVID-19.
• Read our interview with science integrity expert Dr Elisabeth Bik, where she shares her experiences and concerns around the fake news and fake research around COVID-19. Click here.
• Wondering how experts conduct research and modelling of COVID-19? We have another interview with statistician Dr Sayantan Banerjee, who explains in more mathematical terms, how such modelling is being done, and its application to the situation in India. Click here.
• If you are interested in the numbers around COVID-19, such as the meaning for the various terms, the modelling that's being used to obtain estimates, or the reliability of the statistics, then head over to ‘A statistician’s guide to coronavirus numbers’ by the Royal Statistical Society.
The programme associated with this interview...
Copyright free: geralt
BSc (Honours) Mathematics
This degree will take your understanding of the concepts, theories and applications of mathematics to graduate level, and give you the opportunity to study some statistics, theoretical physics or mathematics education. You'll cover a wide range of topics and develop an understanding of mathematical problems and approaches. You'll get plenty of practice with essential methods and tools, and increase your familiarity with mathematical software. You'll gain an appreciation of the role and construction of rigorous proof, and build experience of communicating mathematical arguments and conclusions.Learn more ❯BSc (Honours) Mathematics
This degree will provide you with extensive knowledge of probability and statistics, combined with either pure mathematics or applied mathematics. It will equip you with problem-solving and decision-making tools; give you experience using relevant software packages; and provide practice in conducting and communicating statistical investigations. You'll develop your understanding of time series analysis, multivariate data analysis, regression analysis, and hypothesis testing; and explore classical and Bayesian approaches to statistics.Learn more ❯BSc (Honours) Mathematics and Statistics
In this degree, you'll develop knowledge and understanding of key concepts in theoretical physics and the underpinning mathematical ideas and methods. It will teach you how to use essential techniques and relevant software, and acquire skills in communicating arguments and conclusions clearly and concisely. You'll explore the concepts of modern physics, including Newtonian mechanics, special relativity, electromagnetism and quantum mechanics. And have the opportunity to get plenty of practice with the tools of applied mathematics, including mathematical methods, mathematical modelling and numerical analysis.Learn more ❯BSc (Honours) Mathematics and Physics
This key introductory OU level 1 module provides a gentle start to the study of mathematics. It will help you to integrate mathematical ideas into your everyday thinking and build your confidence in using and learning mathematics. You'll cover statistical, graphical, algebraic, trigonometric and numerical concepts and techniques, and be introduced to mathematical modelling. Formal calculus is not included and you are not expected to have any previous knowledge of algebra. The skills introduced will be needed if you plan to study more mathematics modules, such as (MST124), and are also required in other areas, such as computing, economics, science, technology, social science, humanities, business and education.Learn more ❯Discovering mathematics
This module builds on the engineering concepts and basic mathematics in (T192) and (T193). Throughout the initial eight weeks, your study will strengthen and consolidate your skills and knowledge in already visited topics to ensure you have a robust foundation of numeracy and algebra essential for new concepts. Next, you'll explore the techniques of trigonometry, calculus, complex numbers and matrices in the context of engineering examples such as motion, heat transfer and basic statics and electricity. You'll finish the module with guided revision and develop exam techniques in preparation for the final examination.Learn more ❯Engineering: mathematics, modelling, applications
Copyright free: 12019
Today, more than ever, statistics is part of our lives. From this key introductory module you will learn how to use basic statistical tools and quantitative methods that are useful in business, government, industry, medicine, the economy, and most academic subjects. Topics covered include: summarising data; examining relationships; randomness and sampling distributions; probability; testing hypotheses; and estimation. Using data from a range of applications, you'll learn practical statistical techniques and fundamental principles, as well as using software and a calculator to analyse data. The skills introduced will be ideal if you plan to study more mathematics modules or if you encounter data in another subject or your daily life.Learn more ❯Introducing statistics
You might not realise it, but maths is an essential component of healthcare. In fact, sloppy calculations can have fatal consequences. This free course, Using numbers and handling data, is designed for those contemplating a future in the health services industry.Learn more ❯Using numbers and handling data
Modern society is often referred to as 'the information society' - but how can we make sense of all the information we are bombarded with? In this free course, Visualisation: Visual representations of data and information, you will learn how to interpret, and in some cases create, visual representations of data and information that help us to see things in a different way.Learn more ❯Visualisation: Visual representations of data and information
This free course, Exploring data: graphs and numerical summaries, will introduce you to a number of ways of representing data graphically and of summarising data numerically. You will learn the uses for pie charts, bar charts, histograms and scatterplots. You will also be introduced to various ways of summarising data and methods for assessing location and dispersion.Learn more ❯Exploring data: Graphs and numerical summaries