“Using keyword filtering, we identified eight COVID-19-related geo-social media topics. We then utilized Chatterjee’s rank correlation to assess their early warning capability for COVID-19 cases 7 to 42 days in advance across six infection waves. … Our results highlight the need for a dynamic spatially targeted approach that accounts for both how regional geosocial media topics of interest change over time and the impact of local political ideology on their epidemiological early warning capabilities.”

Find the paper and full list of authors in Frontiers in Public Health.