Objective To build a private security network for Tianjin disease control and prevention information system to extend the coverage of Tianjin direct reporting organizations virtual private network (VPN).Methods Load balance and VPN technologies were applied,and the network of Tianjin Centers for Disease Control and Prevention was used as the core node to distribute load balance devices.The disease control facilities at city and district levels were gifted with unified internet protocol address,and IPSect VPN was used to connect the facilities.The accesses of grades of healthcare administration organizations and medical facilities were executed with SSL VPN.Results The private security network adopted proper technologies,and could be used for safe transmission of the information on Tianjin disease control and prevention to fulfill national and Tianjin standards for network security.Conclusion The private security network developed decreases the risks for information security.

Objective To compare the levels of indoleamine 2,3-dioxygenase (IDO) in the peripheral blood mononuclear cells(PBMCs) from HIV-1 infected and HIV-1 negative individuals and in human tumor cells in the presence or absence of TLR ligand stimulation.Methods TaqMan probe real-time RT-PCR method for human IDO mRNA was established; IDO mRNA levels in the PBMCs from HIV-1+ and HIV-1-individuals were tested; IDO mnRNA levels in mucosal origin(T84,Caco-2,Hela) and leukocyte origin(THP-1,MT-4) tumor cells before and after exposure to agonists for TLR4,TLR7/8 and TLR9 were examined.Results It was found that a high level of IDO mRNA could be found in HIV-1+ individuals( 103.42 copy IDO mRNA/106 copy GAPDH mRNA) ; however,some high risk HIV-1-individuals may have also a high level of IDO mRNA.Some of the tumor cells could express higher level of IDO mRNA after exposure to TLR agonist.Conclusion This study indicated a role for IDO in the viral persistence and tumor formation in HIV/AIDS and further studies were warranted.

ObjectiveTo investigate the prevalence and characteristics of depressive symptoms among urban elderly six years after Lushan earthquake in Ya'an， so as to provide references for the mental health interventions for elderly following catastrophic stressful life events. MethodsFrom March to April 2019， a multi-stage stratified cluster random sampling method was adopted to enroll 885 urban elderly people aged 60 and above in Ya'an. A self-compiled questionnaire was used to collect the general demographic information， health-related and disaster-related information， meantime， the elderly was assessed using Geriatric Depression Scale （GDS-30）. Thereafter， univariate and multivariate Logistic regression were applied to explore the influencing factors of depressive symptoms in urban elderly. ResultsA total of 783 valid questionnaires were collected， with a questionnaires response rate of 88.47%. Depressive symptoms were detected in 161 cases （20.56%）. The prevalence of depression showed statistical differences among the elderly of different gender， age， marital status， family relationship， monthly per capita household income， physical exercise status， health status， self-care ability， sleep status and disaster-affected degree （P<0.05 or 0.01）. Logistic regression analysis showed that the urban elderly of the female gender （OR=1.552， P=0.040）， monthly per capita household income of 2000~3000 yuan （OR=6.982， P<0.01）， monthly per capita household income≤2000 yuan （OR=6.857， P<0.01）， lack of physical exercise （OR=1.693， P<0.01）， being less capable of self-care （OR=3.838， P<0.01）， being incapable of self-care （OR=8.547， P<0.01）， complicating multiple curable diseases （OR=4.892， P<0.01） and complicating refractory chronic diseases （OR=5.657， P=0.031） were at high risk of depressive symptoms. The risk of depressive symptoms among the divorced or widowed elderly was greater than that among married elderly （OR=0.063， P<0.01）. ConclusionThe prevalence of depressive symptoms is relatively high among the urban elderly six years after Lushan earthquake in Ya'an， moreover， female gender， low monthly per capita household income， lack of physical exercise， being incapable of self-care and poor health status are risk factors affecting the depressive symptom， while being married is a protective factor.