Hui Wang

TL;DR: In the early development of COVID-19, large-scale preventive measures, such as border control and air travel restrictions, were implemented to slow international and domestic transmissions as discussed by the authors. But these preventive measures were ineffective.

TL;DR: In this paper, the authors explored the spatial autocorrelation pattern of residuals in modeling tree canopy height or investigated the relationship between canopy height and model performance by combining Light Detection and Ranging (LiDAR) and Landsat datasets, and used spatially-weighted geographical random forests (GRF) and traditional random forest (TRF) methods to predict tree canopy in a mixed dry forest woodland in complex mountainous terrain.

TL;DR: A meso-scale mathematical model of COVID-19 is proposed using town-level infection data in the state of Connecticut and how different strengths of social distancing policy enforcement may impact future epidemic curves is evaluated based on two evaluative metrics: compliance and containment.

TL;DR: In this article, a cross-sectional analysis of quantile-based independent sample t-test was employed to examine the relationship between eight social vulnerability indices (SVIs, i.e., below poverty, unemployed, without high school diploma, disability, minority, speaks English less than well, no vehicle, and mobile homes) and vaccination rates at the town level in Connecticut during the second phase of the vaccine distribution plan when individuals aged 65 and over were eligible.