PMC:7510993 / 9489-10045 6 Projects
Annnotations
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T47 | 0-408 | Sentence | denotes | To ensure the robustness of our results, we investigated the relationship between various environmental variables (climate, host susceptibility to COVID-19, international human mobility, and socioeconomic factors) and the number of COVID-19 cases (per 1 million population) using the two different approaches: conventional multiple linear regression and random forest, which is a machine-learning model [15]. |
| T48 | 409-556 | Sentence | denotes | We separately modeled the cumulative number of COVID-19 cases (per 1 million population) in successive periods from December 2019 to June 30, 2020. |