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The correlation of google trends as an alternative information source in the early stages of covid-19 outbreak in Indonesia
Systematic Reviews in Pharmacy ; 11(9):431-438, 2020.
Article in English | EMBASE | ID: covidwho-886406
ABSTRACT
This study conducted correlation of google trends as an alternative information source in the early stages of COVID-19 outbreak in Indonesia. Time series approach was used in this study. We sought to compare the official COVID-19 report in Indonesia accessible on a daily basis as well as information searches in Google Trends regarding COVID-19. Data analysis was performed using moving average in Minitab version 18.0. Correlation were calculated using pearson correlation and Time lag. R value ≥ 0.7 (p ≤ 0.05) was defined strong correlation. Moving average analysis showed a linear time series pattern between COVID-19 search trends and the official COVID-19 report. Pearson correlation analysis indicated strong correlation with R value ranging from 0.870-0.927 (p ≤ 0,05) among the four keywords used in Google trends with the official report of COVID-19 in Indonesia. Time lag correlation inference COVID-19 search trends data could possibly be utilized for an early identification of public reaction against the increasing cases of COVID-19. In the early stages of COVID-19 outbreak found the correlations and similarity of linear time series patterns are shown between COVID-19 search trends and the official COVID-19 report. Public behavior in information seeking is useful in early identification of disease outbreaks in Indonesia.

Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: Systematic Reviews in Pharmacy Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Language: English Journal: Systematic Reviews in Pharmacy Year: 2020 Document Type: Article