Back to search

Article

A New Infodemiological Approach Through Google Trends: Longitudinal Analysis of COVID-19 Scientific and Infodemic Names in Italy

2021-11-17

Abstract excerpt

COVID-19 has been classified by the scientific community as the worst pandemic in human history. The damage caused by the new disease was direct (e.g., deaths) and indirect (e.g., closure of economic activities). Within the latter category, we find infodemic phenomena such as the adoption of generic and stigmatizing names used to identify COVID-19 and the related novel coronavirus 2019 variants. These monikers hav...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
30370b77-baa2-554b-8ec6-1a04d5a0e383
DOI
10.21203/rs.3.rs-1043571/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A New Infodemiological Approach Through Google Trends: Longitudinal Analysis of COVID-19 Scientific and Infodemic Names in ItalyDOI 10.21203/rs.3.rs-1043571/v1
Select a neighboring publication to make it the new centre.