Google trends as an aid in predicting the course of the COVID-19 epidemic in Serbia
Abstract
Aim: Determination of the correlations between the search for key terms related to the COVID-19 pandemic and the course of the epidemic in Serbia.
Methods: A survey was conducted by a type of cross-sectional study, in November 2020. The research was conducted through the website Google trends. This open-access platform is based on automatic data collection, in order to estimate the percentage of searches for relevant keywords of interest. Data collected are anonymous and were divided by days, months, years, and geographical regions.
Results: The study included 32 key terms related to the COVID-19 pandemic. There was a statistically significant positive correlation with the number of registered cases per day for the terms: "coronavirus", "corona", "covid-19", "covid", "kovid", "virus", "corona symptoms", "loss of smell", "loss of taste", "loss of smell and taste", "loss of sense of smell", "loss of sense of taste", "pneumonia", "kovid infirmary", "infirmary", "kovid test", "corona test", "PCR", "serology ", "antibodies ", "corona antibodies", "vaccine ", "corona vaccine ".
Conclusion: The shown correlation between the search for appropriate terms related to the COVID-19 pandemic and the course of the epidemic in Serbia can significantly help in predicting the course of the COVID-19 epidemic. In the future, we should work on developing predictive models and software tools based on these resources, not only for COVID-19 but also for other diseases, which would monitor Internet searches in real-time, all with the aim of adequate and timely organization of public health activities.
Keywords: COVID-19, Google trends, pandemic, coronavirus
References
2. Harrison AG, Lin T, Wang P. Mechanisms of SARS-CoV-2 Transmission and Pathogenesis. Trends Immunol. 2020; 41(12): 1100-15.
3. Wang H, Li X, Li T, et al. The genetic sequence, origin, and diagnosis of SARS-CoV-2. Eur J Clin Microbiol Infect Dis. 2020; 39(9): 1629-35.
4. World Health Organisation, Information for 03.06.2021, World Health Organisation, Genève, 2021, (https://www.who.int/publications/m/item/weekly-epidemiological-update---3-june-2021)
5. Institute of Public Health of Serbia “Dr Milan Jovanovic Batut”, Infоrmаtion for 03.06.2021 at 15h [Internet], Belgrade, Institute of Public Health of Serbia “Dr Milan Jovanovic Batut”, 2021, (http://www.batut.org.rs/index.php?category_id=202)
6. Xu J, Zhao S, Teng T, et al. Systematic Comparison of Two Animal-to-Human Transmitted Human Coronaviruses: SARS-CoV-2 and SARS-CoV. Viruses. 2020; 12(2): 244.
7. Acuti Martellucci C, Flacco ME, Cappadona R, Bravi F, Mantovani L, Manzoli L. SARS-CoV-2 pandemic: An overview. Adv Biol Regul. 2020; 77: 1–11.
8. Liu Y, Ning Z, Chen Y, et al. Aerodynamic analysis of SARS-CoV-2 in two Wuhan hospitals. Nature. 2020; 582(7813): 557–60.
9. Lauer SA, Grantz KH, Bi Q, et al. The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application. Ann Intern Med. 2020; 172(9): 577-82.
10. He X, Lau EHY, Wu P, et al. Temporal dynamics in viral shedding and transmissibility of COVID-19. Nat Med. 2020; 26(5): 672-5.
11. Oliveira BA, Oliveira LC, Sabino EC, Okay TS. SARS-CoV-2 and the COVID-19 disease: a mini review on diagnostic methods. Rev Inst Med Trop Sao Paulo. 2020; 62: e44.
12. Galanopoulos M, Gkeros F, Doukatas A, et al. COVID-19 pandemic: Pathophysiology and manifestations from the gastrointestinal tract. World J Gastroenterol. 2020; 26(31): 4579-88.
13. Samudrala PK, Kumar P, Choudhary K, et al. Virology, pathogenesis, diagnosis and in-line treatment of COVID-19. Eur J Pharmacol. 2020; 883: 173375.
14. Chakraborty C, Sharma AR, Sharma G, Bhattacharya M, Lee SS. SARS-CoV-2 causing pneumonia-associated respiratory disorder (COVID-19): diagnostic and proposed therapeutic options. Eur Rev Med Pharmacol Sci. 2020; 24(7): 4016-26.
15. Azwar MK, Kirana F, Kurniawan A, Handayani S, Setiati S. Gastrointestinal Presentation in COVID-19 in Indonesia: A Case Report. Acta Med Indones. 2020; 52(1): 63-7.
16. Lee Y, Min P, Lee S, Kim SW. Prevalence and Duration of Acute Loss of Smell or Taste in COVID-19 Patients. J Korean Med Sci. 2020; 35(18): e174
17. Tong JY, Wong A, Zhu D, Fastenberg JH, Tham T. The Prevalence of Olfactory and Gustatory Dysfunction in COVID-19 Patients: A Systematic Review and Meta-analysis. Otolaryngol Head Neck Surg. 2020; 163(1): 3-11.
18. 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): 839-47
19. Hu D, Lou X, Xu Z, et al. More effective strategies are required to strengthen public awareness of COVID-19: Evidence from Google Trends. J Glob Health. 2020; 10(1): 011003
20. Rovetta A, Bhagavathula AS. COVID-19-Related Web Search Behaviors and Infodemic Attitudes in Italy: Infodemiological Study. JMIR Public Health Surveill. 2020; 6(2): e19374.
21. Ayyoubzadeh SM, Ayyoubzadeh SM, Zahedi H, Ahmadi M, R Niakan Kalhori S. Predicting COVID-19 Incidence Through Analysis of Google Trends Data in Iran: Data Mining and Deep Learning Pilot Study. JMIR Public Health Surveill. 2020; 6(2): e18828.
22. Strzelecki A, Azevedo A, Albuquerque A. Correlation between the Spread of COVID-19 and the Interest in Personal Protective Measures in Poland and Portugal. Healthcare (Basel). 2020; 8(3): 203.
23. Verma M, Kishore K, Kumar M, Sondh AR, Aggarwal G, Kathirvel S. Google Search Trends Predicting Disease Outbreaks: An Analysis from India. Healthc Inform Res. 2018; 24(4): 300-8.
24. Venkatesh U, Gandhi PA. Prediction of COVID-19 Outbreaks Using Google Trends in India: A Retrospective Analysis. Healthc Inform Res. 2020; 26(3): 175-84.
25. Rovetta A, Bhagavathula AS. Global Infodemiology of COVID-19: Analysis of Google Web Searches and Instagram Hashtags. J Med Internet Res. 2020; 22(8): e20673
26. Panuganti BA, Jafari A, MacDonald B, DeConde AS. Predicting COVID-19 Incidence Using Anosmia and Other COVID-19 Symptomatology: Preliminary Analysis Using Google and Twitter. Otolaryngol Head Neck Surg. 2020; 163(3): 491-7
27. Jimenez AJ, Estevez-Reboredo RM, Santed MA, Ramos V. COVID-19 Symptom-Related Google Searches and Local COVID-19 Incidence in Spain: Correlational Study. J Med Internet Res. 2020; 22(12)