COVID-19

Understanding Patterns of Internal Migration During the COVID-19 Pandemic in Spain

We aim to analyse the extent of change in the patterns of internal migration across the urban hierarchy in Spain during 2020

Changes of residence in times of COVID-19. A small respite from rural depopulation

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

Using Twitter to track immigration sentiment during early stages of the COVID-19 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

Sentiment towards Migration during COVID-19. What Twitter Data Can Tell Us

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

A Framework to Understand Attitudes towards Immigration through Twitter

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.

COVeAGE-DB. A database of age-structured COVID-19 cases and deaths

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.

Socio-economic Inequality and Geographic Spread of the COVID-19 Pandemic in England

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

Identifying how COVID-19 related misinformation reacts to the announcement of the UK national lockdown. An interrupted time-series study

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).