Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Kesehatan Masyarakat
Gabriela Eliza Fabrianne Tamba
Faculty of Public Health, Universitas Sriwijaya
Public Health

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Tracing Diagnosis COVID-19 Analysis on Google by COVID-19 Cases in Indonesia Gabriela Eliza Fabrianne Tamba; Rizma Adlia Syakurah
Jurnal Ilmu Kesehatan Masyarakat Vol. 14 No. 1 (2023): Jurnal Ilmu Kesehatan Masyarakat (JIKM)
Publisher : Association of Public Health Scholars based in Faculty of Public Health, Sriwijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26553/jikm.2023.14.1.112-126

Abstract

COVID-19 transmission can be controlled through RT-PCR and RDT-Ag diagnostic tests, yet neither test performs well. This has encouraged people to search information for the COVID-19 pandemic response and exposure fears on Google. Therefore, this study analyzes the correlation between COVID-19 diagnosis tracing on Google and new COVID-19 cases in Indonesia. An explanatory mixed method study design was used. A quantitative study was done using time-lag correlation between the keywords, namely “Antigen”, “Swab” dan “PCR” based on Google Trends™ (https: // trend.Google.com/trends) from 13 July 2020 to November 2021. The search peaks for diagnosis and their geographical distribution were described qualitatively. There is a correlation between COVID-19 diagnosis searches on the keywords Swab (r = 0.787, P-Value    = 0.000) and Antigen (r = 0.378, P-Value    = 0.003) with COVID-19 new positive cases. The cumulative number of daily tests is also correlated with COVID-19 diagnosis searches (r = 0.617, P-Value     = 0.000 (PCR keywords) and r = -0.337, P-Value    = 0.003 (Keywords Swab)). There was also a correlation between searches for COVID-19-related keywords PCR, Swab, and Antigen and the frequency of daily PCR and Antigen tests (P-Value   <0.005). Google Trend has the potential as a monitoring tool for people's diagnosis behavior. Further study of Google Trends is required to strengthen the potential of Google Trends for monitoring COVID-19 cases in Indonesia.
Co-Authors Rizma Adlia Syakurah