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Background: Post-migration infection and domestic transmission of HIV-1 between immigrants and local population are critical for the HIV epidemic, but have not been addressed thus far in China., Methods: Transmission clusters were analyzed with two cluster reconstruction methods, HIV-TRACE and Cluster Picker, using 1695 HIV-1 pol sequences obtained from 139 HIV-infected foreigners and 1556 Chinese natives in Guangzhou, China from 2008 to 2012. The geographic origin of the HIV-1 sequences was further determined by PastML while the factors associated with recent HIV-1 transmission were documented by logistic regression analysis., Results: HIV-1 genotypes that are prevalent in African and East Asian countries were identified in HIV-infected Chinese subjects and vice versa. In addition, more NRTI drug resistance mutations were found in HIV-infected foreigners than in native Chinese (p < 0.001). HIV-1 transmission between HIV-infected foreigners and native Chinese individuals was documented in 12.95% (18/139) of the HIV-infected foreigners. Furthermore, Asian (odds ratio [OR] = 3.45), male (OR = 16.88) and those with known HIV-1 infection routes (OR = 3.23) were more likely associated with recent HIV-1 transmission in China. The Chinese natives linked to recent HIV-1 transmission were more likely to be infected through men who have sex with men (OR = 3.05) or people who inject drugs (OR = 3.05), rather than by heterosexual transmission., Conclusion: Our study demonstrates the impact of recent HIV-1 transmission between HIV-infected foreigners and Chinese natives on the HIV-1 epidemic in Guangzhou, China. Moreover, the results highlight the importance of phylogenetic analysis of HIV-1 surveillance data and the need for specific prevention strategies that target the immigrant population., (Copyright © 2021 Elsevier B.V. All rights reserved.)

The COVID-19 pandemic is currently spreading widely around the world, causing huge threats to public safety and global society. This study analyzes the spatiotemporal pattern of the COVID-19 pandemic in China, reveals China's epicenters of the pandemic through spatial clustering, and delineates the substantial effect of distance to Wuhan on the pandemic spread. The results show that the daily new COVID-19 cases mostly occurred in and around Wuhan before March 6, and then moved to the Grand Bay Area (Shenzhen, Hong Kong and Macau). The total COVID-19 cases in China were mainly distributed in the east of the Huhuanyong Line, where the epicenters accounted for more than 60% of the country's total in/on 24 January and 7 February, half in/on 31 January, and more than 70% from 14 February. The total cases finally stabilized at approximately 84,000, and the inflection point for Wuhan was on 14 February, one week later than those of Hubei (outside Wuhan) and China (outside Hubei). The generalized additive model-based analysis shows that population density and distance to provincial cities were significantly associated with the total number of the cases, while distances to prefecture cities and intercity traffic stations, and population inflow from Wuhan after 24 January, had no strong relationships with the total number of cases. The results and findings should provide valuable insights for understanding the changes in the COVID-19 transmission as well as implications for controlling the global COVID-19 pandemic spread., Competing Interests: The authors have declared that no competing interests exist.