Corpus Fellows’ COVID-19 modelling research highly-commended by the FT
Research by Fellows of Corpus Andrew Harvey, Emeritus Professor of Econometrics at the Faculty of Economics of the University of Cambridge, and Dr Paul Kattuman, Professor of Economics at Cambridge Judge Business School has been highly-commended as academic research with real-world impact in the annual Responsible Business Education Awards of the Financial Times.
The study, published in Harvard Data Science Review, develops a new class of time series models that reflect epidemic trajectories and are able to produce good forecasts before new cases or deaths reach their peak.
The research was central to a project led at Cambridge Judge with health officials in the East of England.
Last year we reported how our Fellows’ research Time Series Models Based on Growth Curves With Applications to Forecasting Coronavirus used a COVID-19 tracker to provide forecasts of the pandemic’s trajectory in India.
According to the report’s Abstract: Time series models are developed for predicting future values of a variable that when cumulated is subject to an unknown saturation level. Such models are relevant for many disciplines, but here attention is focused on the spread of epidemics and the applications are for coronavirus.
