How Successful was Large-scale Social Restrictions Policy in Suppressing COVID-19
DOI:
https://doi.org/10.33102/uij.vol33no3.355Keywords:
disease transmissions, doubling time, new normal, local wisdom, IndonesiaAbstract
Large-scale Social Restrictions (LSR) was the Indonesian government's primary instrument to break the chain of coronavirus or COVID-19 transmission at the early phase of the pandemic. LSR implementation such as school and workplace closure, restrictions on religious activities, and or restrictions on activities on public premises or facilities. This study aims to investigate the effect of LSR policy on COVID-19 developments in Indonesia. This study was a cross-sectional study with a total population of 99,077,313 people from three provinces in Indonesia. This research analyzed the LSR policy implemented in the entire province or partially as an exposure and the development of Covid-19 as an outcome. The outcome was measured by doubling the times needed for new cases. Data were taken from secondary source namely from the COVID-19 task force report that has been announced publicly. The unpaired two-tailed Student’s t-test was used as statistical analysis of the secondary data. The results showed a significant impact (p<0.05) when comparing the province with full LSR policy with those implementing the LSR policy in some of their selected cities. The LSR policy of total province seems effective to suppress COVID-19 development as indicated by a more rapid and considerable increase in the doubling time of new cases following the implementation of LSR as early as possible in the provinces implementing LSR for their entire region than in the compared provinces. It can be concluded that LSR policy has a significant effect on COVID-19 development in Indonesia as indicated by a significant difference in the doubling time of COVID-19 new cases. Each province may have different times of the beginning and end of the COVID-19 epidemic; therefore, each province needs to design their coping strategy based on their particular condition.
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