Analysing the impact of comorbid conditions and media coverage on online symptom search data: a novel AI-based approach for COVID-19 tracking-Reference-Cited by-同舟云学术

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Analysing the impact of comorbid conditions and media coverage on online symptom search data: a novel AI-based approach for COVID-19 tracking

Published:2024-02-02 Issue:5 Volume:56 Page:348-358
ISSN:2374-4235
Container-title:Infectious Diseases
language:en
Short-container-title:Infectious Diseases

Author:

Lyu Shiyang¹,Adegboye Oyelola²,Adhinugraha Kiki Maulana³,Emeto Theophilus I.⁴,Taniar David¹

Affiliation:

1. School of Computer Science, Monash University, Melbourne, Australia

2. Menzies School of Health Research, Darwin, Charles Darwin University, NT, Australia

3. School of Computing and Information Technology, La Trobe University, Melbourne, Australia

4. Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/23744235.2024.2311281

Reference34 articles.

1. World Health Organization. n.d. Weekly epidemiological update on COVID-19 - 1st March 2023. https://www.who.int/publications/m/item/weekly-epidemiological-update-on-covid-19–-1-march-2023.

2. COVID-19 pathophysiology: A review

3. COVID-19 predictability in the United States using Google Trends time series

4. Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study

5. Tracking COVID-19 using online search

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