Displaying 1 publication

Abstract:
Sort:
  1. Fulltext Determining significant factors associated with daily COVID-19 cases within three social distancing regimes
    Wulandari P, Andika, Halide H
    Gac Sanit, 2021;35 Suppl 2:S455-S458.
    PMID: 34929874 DOI: 10.1016/j.gaceta.2021.07.024
    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.

Related Terms
    Try searching for something
Filters
Contact Us

Please provide feedback to Administrator (afdal@afpm.org.my)

External Links