Objective To analyze the influencing factors on AIDS-related deaths among HIV/AIDS patients in Guangzhou,Guangdong province.Methods A retrospective cohort was formed,based on available data of HIV/AIDS patients between 1991 and 2013 in Guangzhou,that were gathered from the Chinese AIDS Prevention and Control Information System.Cox proportional hazard model was used to identify the influencing factors for AIDS-related deaths.Results Data showed that factors as:existence of full-bloom AIDS when HIV infection was diagnosed (HR =2.717,95％ CI:2.039-3.621),diagnose of AIDS was made in the hospitals (HR=1.516,95％ CI:1.159-1.981),never received no CD4 count testing (HR=4.866,95％CI:3.674-6.444),no drugs were provided to those who met the criteria for treatment (HR=12.213,95％CI:8.467-17.616),and patients at aged ≥40 years when HIV infection was diagnosed etc.,were related to the risk for AIDS deaths.The risk of AIDS-related death was also high in those who did not meet the treatment criteria or receiving no treatment,when compared to those who had received the antiviral treatment (HR=1.936,95％ CI:1.145-3.272).Conclusion Factors as:earlier diagnosis of HIV/AIDS cases,provision of CD4 count testing and antiviral treatment to more cases etc,could decrease the risk for AIDS-related deaths and improve the survival rate on HIV/AIDS cases.

Objective:To understand the epidemiological characteristics of imported COVID-19 cases in Guangzhou and provide scientific basis for the prevention and control of the disease.Methods:The data of imported COVID-19 in Guangzhou reported as of April 1, 2020 were collected from National Notifiable Disease Report System of China. The software Excel 2010 and SPSS 19.0 were applied for data cleaning and statistical analysis.Results:As of April 1, 2020, a total of 103 imported COVID-19 cases had been reported in Guangzhou, in which 92 were confirmed cases and 11 were asymptomatic infection cases. The number of the confirmed imported cases accounted for 11.4 % (92/806) in of the total in China at the same time. The male to female ratio of the cases was 1.58∶1 (63∶40). The median age of the cases was 31 years ( P 25- P 75:22-40 years), range of age was 11-63 years. The main occupational distributions of the cases were business services (41/103, 39.8 %) and students (36/103, 35.0 %). The imported cases whose destinations were 19 provinces and municipalities rather than Guangdong after entering the country accounted for 43.7 %. The main source countries of infections were the United Kingdom (27/103, 26.2 %), the Philippines (13/103, 12.6 %), the United States (13/103, 12.6 %) and Nigeria (7/103, 6.8 %). There were 34 inbound flights from which the imported COVID-19 cases were detected, in which 10 flights (10/34, 29.4 %) were found to carry more than 3 cases, with an average voyage time of (11.14±0.53) hours. A total of 29 imported cases(28.2 %) showed symptoms before entering the country, and 65 cases (63.1 %) had been isolated before the onset of the disease. The mean free activity time of the isolated cases after the onset was (6.76±0.79) days. The average number of the imported cases’ close contacts was 53. There were 13 clusters of COVID-19 caused by the imported cases, involving 36 cases (including 1 imported associated case). Conclusions:The sources of the imported COVID-19 cases in Guangzhou were widely distributed, and no cases had been found to be infected on the flights. In the early stage of the imported epidemic, there was high risk for the spread of the epidemic. Strengthened prevention and control of imported COVID-19 effectively reduced the of transmission risk of COVID-19 in communities.