The relationship between Google search interest for pulmonary symptoms and COVID-19 cases using dynamic conditional correlation analysis
Abstract This study aims to evaluate the monitoring and predictive value of web-based symptoms (fever, cough, dyspnea) searches for COVID-19 spread. Daily search interests from Turkey, Italy, Spain, France, and the United Kingdom were obtained from Google Trends (GT) between January 1, 2020, and Aug...
Enregistré dans:
Auteurs principaux: | Halit Cinarka, Mehmet Atilla Uysal, Atilla Cifter, Elif Yelda Niksarlioglu, Aslı Çarkoğlu |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/d9cda2092b5a40989de24cd7ca892f94 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Tracking U.S. Pertussis Incidence: Correlation of Public Health Surveillance and Google Search Data Varies by State
par: Christopher H. Arehart, et autres
Publié: (2019) -
Google Search in Exchange Rate Models: Hype or Hope?
par: Bodo Herzog, et autres
Publié: (2021) -
Can "Googling" correct misbelief? Cognitive and affective consequences of online search.
par: Tetsuro Kobayashi, et autres
Publié: (2021) -
Investor Attention: Can Google Search Volumes Predict Stock Returns?
par: Claudia Yoshinaga, et autres
Publié: (2020) -
Diagnosing granulomatous disease during appendectomy
par: Atilla Şenaylı
Publié: (2021)