Determining significant factors associated with daily COVID-19 cases within three social distancing regimes.
Gac Sanit
; 35 Suppl 2: S455-S458, 2021.
Article
in English
| MEDLINE | ID: covidwho-1587744
ABSTRACT
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.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Prognostic study
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Gac Sanit
Journal subject:
Public Health
Year:
2021
Document Type:
Article
Affiliation country:
J.GACETA.2021.07.024
Similar
MEDLINE
...
LILACS
LIS