Journal of IMAB - Annual Proceeding (Scientific Papers)
Publisher: Peytchinski Publishing Ltd.
ISSN:
1312-773X (Online)
Issue:
2021, vol. 27, issue1
Subject Area:
Medicine
-
DOI:
10.5272/jimab.2021271.3493
Published online: 05 January 2021
Original article
J of IMAB. 2021 Jan-Mar;27(1):3493-3496
INTERNET BASED DATA AS A POWERFUL TOOL FOR TRACKING INFECTIOUS DISEASE DYNAMICS
Tatina T. Todorova , Gabriela S. Tsankova, Neli M. Ermenlieva,
Department of Hygiene and Epidemiology, Faculty of Public Health, Medical University of Varna, Bulgaria.
ABSTRACT:
Purpose: Digital epidemiology (using Internet data as an epidemiological tool) is one of the most concurrent and novel approaches in the field of infectious disease tracking. We aimed to see if the disease-related information seeking via one of the most popular search engine (Google) correlates with the real varicella epidemiology in Bulgaria.
Material/Methods: We compared the relative search index obtained by Google Trends with a keyword ‘varicella’ and the real incidence data for 2016-2018 in Bulgaria. Correlation analysis and t-test were used to see for association and difference in the means. Additionally, we summarized what type of information people find when searching for ‘varicella’.
Results: Dynamics of Google Trends with search term ‘varicella’ followed almost exactly the real dynamics of reported varicella cases in Bulgaria (Pearson’s correlation coefficient of 0.85). The seasonality and the regional spread of varicella infection were also confirmed by the digital epidemiology (Pearson’s correlation coefficient between the search index and the monthly cases was 0.93 and between the search index and the individual district incidence was 0.35). The majority of the information found by people during the seasonal varicella outbreaks was scientifically relevant and correct.
Conclusions: Digital data received by non-epidemiological methods could be successfully used to study varicella dynamics, as high correlation exists between the data collected via the traditional methods and via the new, digital methodology.
Keywords: digital epidemiology, chicken pox, notifiable diseases, Google Trends,
- Download FULL TEXT /PDF 656 KB/
Please cite this article as: Todorova TT, Tsankova GS, Ermenlieva NM. Internet based data as a powerful tool for tracking infectious disease dynamics. J of IMAB. 2021 Jan-Mar;27(1):3493-3496. DOI: 10.5272/jimab.2021271.3493
Correspondence to: Tatina Todorova, Department of Microbiology and Virology, Faculty of Medicine, Medical University Varna; 3, Bregalniza Str., 9002 Varna, Bulgaria; E-mail: Tatina.Todorova@mu-varna.bg
REFERENCES:
1. Park H-A, Jung H, On J, Park SK, Kang H. Digital Epidemiology: Use of Digital Data Collected for Non-epidemiological Purposes in Epidemiological Studies. Healthc Inform Res. 2018 Oct;24(4):253–62. [PubMed]
2.Salathe M. Digital epidemiology: what is it, and where is it going? Life SciSoc policy. 2018 Jan 4;14(1):1. [PubMed]
3. Bakker KM, Martinez-Bakker ME, Helm B, Stevenson TJ. Digital epidemiology reveals global childhood disease seasonality and the effects of immunization. ProcNatlAcadSci U S A.2016 Jun 14;113(24):6689-94. [PubMed]
4. National Center of Public Health and Analyses. Public Health Statistics Annual Bulgaria. 2019. [Internet].
5. Todorova TT. Varicella infection in a non-universally vaccinated population: Actual epidemiology in Bulgaria (2013–2015). J Infect Public Health.2018 May-Jun;11(3):326-30. [PubMed]
6. Velasco E. Disease detection, epidemiology and outbreak response: the digital future of public health practice. Life SciSoc Policy.2018 Apr 1;14(1):7. [PubMed]
7. Samerski S. Individuals on alert: digital epidemiology and the individualization of surveillance. Life SciSoc Policy.2018 Jun 14;14(1):13. [PubMed].
Received: 26 March 2020
Published online: 05 January 2021
back to Online Journal