KORNELLIA, ELENA and Syakurah, Rizma Adlia (2023) PENGGUNAAN DATABASE GOOGLE TRENDS SELAMA MASA PANDEMI COVID-19: SYSTEMATIC REVIEW. Undergraduate thesis, Sriwijaya University.
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Abstract
Public concern about the high number of COVID cases has caused many people to seek information related to COVID-19. The large number of searches regarding information via Google search will create trend data which is processed in graphical form by displaying keywords or keywords from searches made where these trends can be accessed via Google Trends. This study aims to provide an overview of the use of Google Trends during COVID-19 pandemic. This study uses a systematic review method. Article searches were conducted through four databases, namely Cochrane, Europe PMC, Pubmed, Science Direct. The literature search included articles published from January 2020 to September 2022 using the PRISMA guidelines. The results of a review of the 33 articles found show that there has been an increase in searches for terms related to COVID-19 in the Google Trends database. During the COVID-19 pandemic, Google Trends was widely used to predict positive cases and deaths due to COVID-19, showing the high public interest in the delta vaccine variant compared to other vaccine variants, increasing public interest regarding the symptoms of COVID-19 a namely anosmia, a drastic increase in public interest in telehealth during the pandemic, the effects of a pandemic trigger stress and worsen a person’s mental health, prevention effort needs to be made by consuming adequate vitamins and nutrients so that the body’s resistance increases. In addition, search engines from other countries and social media are used to complement the use of Google Trends. The Google Trends database is used as an effective tool for estimating trends in the ongoing COVID-19 pandemic outbreak and as a reference for the government in making decisions regarding policies implemented to control COVID-19. It is hoped that the government can cooperate with the Ministry of Health or the Ministry of Communication and Information with the Google to obtain specific data to make it easier to formulate a policy.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Google Trends, COVID-19, Systematic Review |
Subjects: | K Law > K Law (General) > K3566-3578 Public health |
Divisions: | 10-Faculty of Public Health > 13201-Public Health (S1) |
Depositing User: | Elena Kornellia |
Date Deposited: | 21 Feb 2023 04:40 |
Last Modified: | 21 Feb 2023 04:40 |
URI: | http://repository.unsri.ac.id/id/eprint/89799 |
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