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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
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Systematic_Reviews_in_Pharmacy
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?:title
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The correlation of google trends as an alternative information source in the early stages of covid-19 outbreak in Indonesia
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