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

References

• 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.
   Google Scholar
• Yuki K, Fujiogi M, Koutsogiannaki S. COVID-19 pathophysiology: a review. Clin Immunol. 2020;215:108427. doi:10.1016/j.clim.2020.108427.
   PubMed Web of Science ®Google Scholar
• Mavragani A, Gkillas K. COVID-19 predictability in the United States using google trends time series. Sci Rep. 2020;10(1):20693. doi:10.1038/s41598-020-77275-9.
   PubMed Web of Science ®Google Scholar
• Higgins TS, Wu AW, Sharma D, et al. Correlations of online search engine trends with coronavirus disease (COVID-19) incidence: infodemiology study. JMIR Public Health Surveill. 2020;6(2):e19702. doi:10.2196/19702.
   PubMedGoogle Scholar
• Lampos V, Majumder MS, Yom-Tov E, et al. Tracking COVID-19 using online search. NPJ Digit Med. 2021;4(1):17. doi:10.1038/s41746-021-00384-w.
   PubMed Web of Science ®Google Scholar
• Strzelecki A. The second worldwide wave of interest in coronavirus since the COVID-19 outbreaks in South Korea, Italy and Iran: a google trends study. Brain Behav Immun. 2020;88:950–951. doi:10.1016/j.bbi.2020.04.042.
   PubMed Web of Science ®Google Scholar
• Walker A, Hopkins C, Surda P. Use of google trends to investigate loss‐of‐smell–related searches during the COVID‐19 outbreak. Int Forum Allergy Rhinol. 2020;10(7):839–847. doi:10.1002/alr.22580.
   PubMed Web of Science ®Google Scholar
• Rabiolo A, Alladio E, Morales E, et al. Forecasting the COVID-19 epidemic by integrating symptom search behavior into predictive models: infoveillance study. J Med Internet Res. 2021;23(8):e28876. doi:10.2196/28876.
   PubMed Web of Science ®Google Scholar
• Cai O, Sousa-Pinto B. United States influenza search patterns since the emergence of COVID-19: infodemiology study. JMIR Public Health Surveill. 2022;8(3):e32364. doi:10.2196/32364.
   PubMedGoogle Scholar
• Wojcik S, Bijral AS, Johnston R, et al. Survey data and human computation for improved flu tracking. Nat Commun. 2021;12(1):194. doi:10.1038/s41467-020-20206-z.
   PubMed Web of Science ®Google Scholar
• Huang DC, Wang JF, Huang JX, et al. Towards identifying and reducing the bias of disease information extracted from search engine data. PLoS Comput Biol. 2016;12(6):e1004876. doi:10.1371/journal.pcbi.1004876.
   PubMed Web of Science ®Google Scholar
• Flu (influenza). Healthdirect; 2023 Apr 20. https://www.healthdirect.gov.au/flu.
   Google Scholar
• Influenza. Ministry of Health NZ. n.d. https://www.health.govt.nz/your-health/conditions-and-treatments/diseases-and-illnesses/influenza.
   Google Scholar
• Marlow CA. The structural determinants of media contagion [doctoral dissertation]. Cambridge: Massachusetts Institute of Technology; 2005.
   Google Scholar
• Gould M, Jamieson P, Romer D. Media contagion and suicide among the young. American Behav Sci. 2003;46(9):1269–1284. doi:10.1177/0002764202250670.
   Web of Science ®Google Scholar
• Pescara-Kovach L, Raleigh MJ. The contagion effect as it relates to public mass shootings and suicides. J Campus Behav Intervention. 2017;5:35–45.
   Google Scholar
• Hart PS, Chinn S, Soroka S. Politicization and polarization in COVID-19 news coverage. Sci Commun. 2020;42(5):679–697. doi:10.1177/1075547020950735.
   PubMed Web of Science ®Google Scholar
• Bridgman A, Merkley E, Loewen PJ, et al. The causes and consequences of COVID-19 misperceptions: understanding the role of news and social media. HKS Misinfo Rev. 2020;1(3). doi:10.37016/mr-2020-028.
   Google Scholar
• Krawczyk K, Chelkowski T, Laydon DJ, et al. Quantifying online news media coverage of the COVID-19 pandemic: text mining study and resource. J Med Internet Res. 2021;23(6):e28253. doi:10.2196/28253.
   PubMed Web of Science ®Google Scholar
• World Health Organization. Health topics. Available from: https://www.who.int/health-topics/
   Google Scholar
• Australian Government Department of Health and Aged Care. COVID-19 disease and symptoms. Available from: https://www.health.gov.au/health-alerts/covid-19/symptoms
   Google Scholar
• Yan L, Talic S, Wild H, et al. Transmission of SARS-CoV-2 in a primary school setting with and without public health measures using real-world contact data: a modelling study. J Global Health. 2022;12:05034. doi:10.7189/jogh.12.05034.
   PubMed Web of Science ®Google Scholar
• Lyu S, Adegboye O, Adhinugraha K, et al. COVID-19 prevention strategies for Victoria students within educational facilities: an AI-based modelling study. Healthcare. 2023;11(6):860. doi:10.3390/healthcare11060860.
   Web of Science ®Google Scholar
• World Health Organization. n.d. Coronavirus. https://www.who.int/health-topics/coronavirus#tab=tab_3.
   Google Scholar
• Centers for Disease Control and Prevention. n.d. Symptoms of COVID-19. https://www.cdc.gov/coronavirus/2019-ncov/symptoms-testing/symptoms.html.
   Google Scholar
• Google. n.d. Google trends. https://trends.google.com/home.
   Google Scholar
• Media cloud. Media Cloud. n.d. https://search.mediacloud.org/.
   Google Scholar
• CSSEGISandData. n.d. CSSEGISANDDATA/covid-19: novel coronavirus (COVID-19) cases, provided by JHU CSSE. GitHub. https://github.com/CSSEGISandData/COVID-19.
   Google Scholar
• Mavragani A. Tracking COVID-19 in Europe: infodemiology approach. JMIR Public Health Surveill. 2020;6(2):e18941. doi:10.2196/18941.
   PubMedGoogle Scholar
• Saegner T, Austys D. Forecasting and surveillance of COVID-19 spread using google trends: literature review. Int J Environ Res Public Health. 2022;19(19):12394. doi:10.3390/ijerph191912394.
   PubMed Web of Science ®Google Scholar
• Wu JT, Leung K, Bushman M, et al. Estimating clinical severity of COVID-19 from the transmission dynamics in Wuhan, China. Nat Med. 2020;26(4):506–510. doi:10.1038/s41591-020-0822-7.
   PubMed Web of Science ®Google Scholar
• Adly AS, Adly AS, Adly MS. Approaches based on artificial intelligence and the internet of intelligent things to prevent the spread of COVID-19: scoping review. J Med Internet Res. 2020;22(8):e19104. doi:10.2196/19104.
   PubMed Web of Science ®Google Scholar
• Liu Z, Magal P, Seydi O, et al. Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data. arXiv preprint arXiv:2002.12298. 2020.
   Google Scholar
• Zarzycki K, Ławryńczuk M. LSTM and GRU neural networks as models of dynamical processes used in predictive control: a comparison of models developed for two chemical reactors. Sensors. 2021;21(16):5625. doi:10.3390/s21165625.
   PubMed Web of Science ®Google Scholar