Back to search

Article

Forecasting the COVID-19 epidemic integrating symptom search behavior: an infodemiology study

2021-03-12

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Previous studies have suggested associations between trends of web searches and COVID-19 traditional metrics. It remains unclear whether models incorporating trends of digital searches lead to better predictions. <h4>Methods</h4> An open-access web application was developed to evaluate Google Trends and traditional COVID-19 metrics via an interactive framework based on princip...

Topics

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

Identifiers and source

Literature Corpus work
975422f4-2ab4-5b75-991b-c0772e9d756f
DOI
10.1101/2021.03.09.21253186
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.
Forecasting the COVID-19 epidemic integrating symptom search behavior: an infodemiology studyDOI 10.1101/2021.03.09.21253186
Select a neighboring publication to make it the new centre.