Open AccessSurvival analysis with the Cox Proportional Hazard Method to determine the factors that affect how long the Large-Scale Social Distancing (LSSD) will applied in various areas affected by the covid-19 pandemic
Author(s) -
A A Fauziah,
. Budiman,
Deviyan Safitri,
Asti Meiza
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1751/1/012004
Subject(s) - social distance , proportional hazards model , scale (ratio) , affect (linguistics) , socialization , variable (mathematics) , hazard , regression analysis , covid-19 , psychology , statistics , demography , econometrics , social psychology , geography , mathematics , medicine , sociology , cartography , biology , mathematical analysis , ecology , disease , communication , pathology , infectious disease (medical specialty)
This study will determine the length of time for large-scale social restrictions, in Indonesia is known as the Large-Scale Social Distancing (LSSD), which requires in a region to reduce the number of different covid-19 cases. Associated with the implementation of the LSSD, it turns out that many things can influence the LSSD to be able to run effectively in the community, from internal and external factors. This research was conducted for 15 days from 1 June 2020 to 15 June 2020, to find out the factors that had a significant influence on the effectiveness of LSSD using Cox Proportional Hazard Regression. The dependent variable used in the study is the length of time the LSSD system (Y). From the results can concluded that the socialization variable (X1) has a significant effect to the effectiveness of LSSD.