Three papers focusing on important statistical aspects of the Covid-19 pandemic will be read and discussed at the next RSS Discussion Meeting, which takes place during the Society’s annual conference on 8 September.
The authors will present their respective papers at the Discussion Meeting in Manchester, which is to be chaired by RSS President Sylvia Richardson. The meeting is open to all, regardless of whether you are attending the RSS conference. It will also be streamed for anyone unable to attend in person.
The first paper proposes a new model to analyse the Covid-19 infection trajectory that delivers accurate forecasting. Its three authors - Feiyu Jiang, Xiaofeng Shao and Zifeng Zhao - are respectively from Fudan University in Shanghai, the University of Illinois Urbana-Champaign and the University of Notre Dame in Indiana.
The second paper, by Guy Nason and James Wei of Imperial College London, examines models used to quantify the economic response to Covid-19 and predict the extent to which the UK economy will be affected by harsher, weaker or no interventions.
The third paper examines the early investigations into the pandemic that, despite being based on very small datasets, was nevertheless momentous in the initial global reactions to the pandemic. Author Qingyuan Zhao, who was born and raised in Wuhan, China, is from the University of Cambridge’s Statistical Laboratory.
As is customary with all Discussion Meetings, attendees are welcome to make a contribution to one of the discussions either during the meeting or afterwards in writing. The discussion and authors' replies will be published respectively in the RSS Series A and Series B Journals.
Preprints of all three papers are currently available to download on the Discussion Meetings web page.
Register to attend the meeting in Manchester.
Register for the online meeting.
Read more about the authors.