COVID-19

This briefs analyses internal migration between cities, suburbs, and rural areas in 2020, compared to migration patterns during the four years preceding the pandemic.

This article aims to measure shifts in public sentiment opinion about migration during early stages of the COVID-19 pandemic in Germany, Italy, Spain, the United Kingdom, and the United States

This report introduces a novel framework for using Twitter data to measure and monitor shifts in public sentiment towards migrants, complementing traditional data sources.

We use a Twitter sample composed of 36 K users and 160 K tweets discussing the topic in 2017, when the immigrant population in the country recorded an increase by a factor of four from 2010.

We introduce COVerAGE-DB which is an open access database including cumulative counts of confirmed COVID-19 cases, deaths, and tests by age and sex.

This paper looks at the geographical patterns of COVID-19 cases observed over the course of the pandemic in England in 2020

We utilise a novel dataset of all COVID-19-related social media posts on Twitter from the UK 48 hours before and 48 hours after the announcement (n=2,531,888).