Jurnal Kebijakan Kesehatan Indonesia
Vol 9, No 3 (2020)

Public Search Interest Analysis on Indonesian COVID-19 Containment Policy

Muhammad Farid Rizqullah (Medical Faculty, Sriwijaya University)
Rizma Adlia Syakurah (Public Health Faculty, Sriwijaya University)



Article Info

Publish Date
24 Sep 2020

Abstract

To assess public search interest pattern on Indonesian containment policy and to determine the use of Google Trends as an early warning system and a tool for making a suitable form of risk communication and interventions during COVID-19 Pandemic. The data related via GT using time series data ranging from 1 March 2020 to 2 May 2020. The data then compared to the number of COVID-19 daily new cases.  Qualitative analyzes used in every spike/peaking of search interest. The time-lag correlation with Pearson correlation was performed to measure the correlation between the raised of GT data and the increase of COVID-19 cases. From the keyword searched ‘lockdown’, ‘PSBB’, and ‘jaga jarak’ has 5,3,1 peak, respectely. PSBB’ has a highly significant positive correlation (R = 0,8137) compared with ‘lockdown’ (R = -0,2494) and ‘jaga jarak’ (R = 0,3177) with Pearson correlation. Lag-period wise, ‘PSBB’ also has a highly significant positive correlation in all set (P£0,05). ‘PSBB’ reached its peak consistently based on the policy issued by the Government. Validation using time-lag correlation shows the significant correlation between RSV keywords related to Government of Indonesia personal protection and the number of COVID-19 cases. GT can be used as a public search interest in accordance with government policy and also can confirm the reaction among population which is the original policy of the Indonesian government.

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