News

Janine Aron and John Muellbauer in a new article published on The Institute for New Economic Thinking (INET Oxford) website assess how to make valid comparisons of excess mortality between the U.S. and Europe during the pandemic. This focus was inspired by their work with Dr. Jessica McDonald of FactCheck.org on recent high-profile U.S. vs. Europe comparisons.

A new preprint by Richard Breen (Department of Sociology and Nuffield College, Oxford) and John Ermisch (Leverhulme Centre for Demographic Science and Nuffield College, Oxford) has been published on ,medRxiv: "Estimating Variation of COVID-19 infection in the Population: Results from Understanding Society (UKHLS) first monthly COVID-19 survey".

A pandemic ,primer by Janine Aron and John Muellbauer, members of the Leverhulme Centre for Demographic Science, University of Oxford, with Charlie Giattino and Hannah Ritchie, examines excess mortality statistics and their comparability across countries. Excess mortality data avoid miscounting deaths from the under-reporting of Covid-19-related deaths and other health conditions left untreated.

Face coverings in shops have been made compulsory today [14 July] and the prohibition may be extended to other indoor spaces. The move follows last week’s COVID-19 face coverings ,,study from the Leverhulme Centre for Demographic Science on behalf of the Royal Society and British Academy.

On 5 May 2020 we published the article 'Demographic science aids in understanding the spread and fatality rates of COVID-19' in the Proceedings of the National Academy of Sciences. The open access article is available here. In that article, we argued that because deaths have been concentrated at older ages, we highlight the important role of demography, particularly, how the age structure of a population may help explain differences in fatality rates across countries and how transmission unfolds.

Potential COVID-19 hotspots can be identified using a new online ,tool from Oxford University’s Leverhulme Centre for Demographic Science. It acts by highlighting which regions have the most at-risk factors and can supplement test-and-trace technology in highlighting potential future infection spikes