Sub-national longitudinal and geospatial analysis of COVID-19 tweets.

ABSTRACT:

Objectives

According to current reporting, the number of active coronavirus disease 2019 (COVID-19) infections is not evenly distributed, both spatially and temporally. Reported COVID-19 infections may not have properly conveyed the full extent of attention to the pandemic. Furthermore, infection metrics are unlikely to illustrate the full scope of negative consequences of the pandemic and its associated risk to communities.

Methods

In an effort to better understand the impacts of COVID-19, we concurrently assessed the geospatial and longitudinal distributions of Twitter messages about COVID-19 which were posted between March 3rd and April 13th and compared these results with the number of confirmed cases reported for sub-national levels of the United States. Geospatial hot

SUBMITTER: Cuomo RE 

PROVIDER: S-EPMC7592735 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature