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Updated: Oct 9, 2025

Experimental Paradigm for Measuring the Effects of Self-distancing in Young Children
Published on: March 1, 2019
Determining significant factors associated with daily COVID-19 cases within three social distancing regimes
Putri Wulandari1, Andika1, Halmar Halide2
1Earth Sciences Department, FITB, Institut Teknologi Bandung, Bandung, Indonesia.
Objective:
The COVID-19 pandemic put enormous socio-economic pressures on most countries all over the world. In order to contain the spread of the coronavirus, governments implemented both pharmaceutical and non-pharmaceutical interventions. This simple modeling work aims to quantify the effect of three levels of social distancing and large-scale testing on daily COVID-19 cases in Malaysia, Republic of Korea, and Japan.
Method:
The model uses a Stepwise Multiple Regression (SWMR) method for selecting lagged mobility index and testing correlated with daily cases based on a 0.05 level of significance.
Result:
The models's predictability ranges are from 75% to 92%. It is also found that the mobility index plays a more important role, in comparison to testing rates, in determining daily confirmed cases.
Conclusion:
Behavioral changes that support physical distancing measures should be practiced to slow down the COVID-19 spreads.
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