Unknown

Dataset Information

Correlating global trends in COVID-19 cases with online symptom checker self-assessments.


ABSTRACT:

Background

Online symptom checkers are digital health solutions that provide a differential diagnosis based on a user's symptoms. During the coronavirus disease 2019 (COVID-19) pandemic, symptom checkers have become increasingly important due to physical distance constraints and reduced access to in-person medical consultations. Furthermore, various symptom checkers specialised in the assessment of COVID-19 infection have been produced.

Objectives

Assess the correlation between COVID-19 risk assessments from an online symptom checker and current trends in COVID-19 infections. Analyse whether those correlations are reflective of various country-wise quality of life measures. Lastly, determine whether the trends found in symptom checker assessments predict or lag relative to t

SUBMITTER: Zobel M 

PROVIDER: S-EPMC9917242 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature