Effectiveness and safety of Xuebijing injection for patients with coronavirus disease 2019: a systematic review and Metaanalysis.

OBJECTIVE: To evaluate the effectiveness and safety of Xuebijing injection (XBJ) on coronavirus disease 2019 (COVID-19) in patients. METHODS: Related studies on multiple biological databases and websites were searched up to December 11, 2021 without language and publication time restrictions. Review Manager V.5.3 and Stata 14 software were used for data analysis. RESULTS: Seven studies were finally included. The Metaanalysis showed that compared with the routine treatment alone, XBJ combined with the routine treatment can reduce the 28day mortality ( = 0.3, 95% : 0.12, 0.74), Creactive protein ( = -12.8, 95% : -23.13, 3.46), erythrocyte sedimentation rate ( = -9.32, 95% : -14.66, -3.98) and interleukin-6 (S = -0.6, 95% : -1.04, -0.17) levels and increase the leukocyte ( = 0.73, 95% : 0.42, 1.04) and lymphocyte count ( = 0.18, 95% : 0.07, 0.29) in peripheral blood; additionally, it has no obvious side effects ( = 1.11, 95% : 0.65, 1.9). There was no evidence that the XBJ combined therapy can improve the nucleic acid conversion rate and computed tomography improvement rate of COVID19 patients. CONCLUSIONS: Preliminary evidence suggests that XBJ combined with routine treatment seems to be more effective than routine treatment for patients with COVID19. Limited by the number and quality of included papers, this finding still needs further validation by more studies.

COVID-19: Analysis of Factors Affecting the Economy of Hunan Province Based on the Spatial Econometric Model.

The COVID-19 pandemic has spread across the country negatively impacting on the economy. This paper uses the panel data of 14 prefecture-level cities from 2015 to 2020 in Hunan to determine the factors and effects of economic downturns based on the spatial econometric model. We calculate the Moran index, so-called the Moran's I, to analyse the impact of each factor on the economy. The results show that the spatial correlation of the cities around Chang-Zhu-Tan is high, and the economic growth of the entire province can be influenced by these cities. These cities should adopt strategies to improve the economy, such as reducing the tax revenues, improving the local financial revenues, and reducing the ineffective educational input. These results can also be helpful for policymakers, who will attempt to retransform the Hunan economy during the post-COVID era.