Infodemiological study of coronavirus epidemic using Google Trends in Central Asian Republics of Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan

Kuvat T. Momynaliev, L. L. Khoperskay, Natalia Yu. Pshenichnaya, Gulzhan Narkenovna Abuova, В. Г. Акимкин

2021

Full text Open access: Hybrid Metadata (CSL-JSON)
DOI 10.33667/2078-5631-2020-34-47-53
Data confidence 85 high
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Abstract

Introduction . The coronavirus infection (COVID-19) pandemic has created a unique opportunity to establish patterns in Internet user activity in connection with a new disease. Objective of the study . To assess the relationship between the interest of Internet users in issues related to COVID-19 in the countries of Central Asia: Kazakhstan, Kyrgyzstan, Uzbekistan and Tajikistan and the dynamics of the epidemic process of this infection according to search queries in Google Trends. Materials and methods . The analysis of queries on the topic “COVID-19” received from Google Trends from 09.01 to 04.10.20 was carried out. Results . An analysis of search activity for queries in Kazakhstan that may be associated with symptoms of COVID-19 showed that only queries containing the keyword “smell”, “loss of smell”, “shortness of breath”, “temperature” have a correlation with the confirmed number of coronavirus infection (r = 0.65 for the query “smell”, r = 0.53 for the queries “loss of smell” and “dyspnea”, r = 0.60 for the query “temperature”). In Kyrgyzstan, when analyzing queries that may be associated with coronavirus infection, correlations were found only for those that contained the keyword “smell” (r = 0.62) and “temperature” (r = 0.53) from 09.01 to 04.10.2020. Correlations (r > 0.65) were found between the dynamics of queries containing the keywords “coronavirus”, “infection” among Internet users in Kazakhstan, Kyrgyzstan and Uzbekistan. When analyzing inquiries related to the diagnosis of COVID-19 in Kazakhstan and Kyrgyzstan, an increased interest of the Internet public in the computed tomography method was revealed, and the peak of interest coincided with the maximum number of confirmed cases of COVID-19 (the correlation coefficient was 0.714). Conclusion . The relationship between Internet inquiries, media reports, and actual incidence rates is multifactorial and requires further study. Nevertheless, the main trends in Internet search queries during a pandemic can serve as an additional component of epidemiological surveillance.