Determining significant factors associated with daily COVID-19 cases within three social distancing regimes
| Autor: | Putri Wulandari, Andika, Halmar Halide |
|---|---|
| Jazyk: | English<br />Spanish; Castilian |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Gaceta Sanitaria, Vol 35, Iss , Pp S455-S458 (2021) |
| Druh dokumentu: | article |
| ISSN: | 0213-9111 06249477 |
| DOI: | 10.1016/j.gaceta.2021.07.024 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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