Objective:To understand the overall satisfaction rate with vaccination services in parents of children, and the impact of additional time consumed for vaccination service on overall satisfaction rate.Methods:From December 2019 to January 2020, a total of 3 178 parents of 0-3 years old children were investigated to collect the information about their basic characteristics, additional time spent for vaccination service and overall satisfaction through questionnaires. Binary logistic regression model and restricted cubic spline model were used to evaluate the impact of additional time spend on the overall satisfaction rate.Results:The overall satisfaction rate of parents with vaccination services was 92.32%. The median time for parents to move from home to vaccination clinic was 10.00 (10.00, 20.00) minutes, the median waiting time to make an appointment was 10.00 (5.00, 15.00) minutes, the median waiting time for vaccination was 5.00 (3.00, 10.00) minutes, and the median total additional time spent was 30.00 (20.00, 45.00) minutes. The binary logistic regression analysis showed that after adjusting the relevant factors, the main factors affecting the overall satisfaction rate were the waiting time for making an appointment (the 4- minutes group vs. 8- minutes group: OR=1.863, 95% CI: 1.307-2.657), waiting time for vaccination (the <4 minutes group vs. 8- minutes group: OR=1.529, 95% CI: 1.102-2.120; the 4- minutes group vs. 8- minutes group: OR=1.534, 95% CI: 1.104-2.130), total additional time spent (the 15- minutes group vs. 30- minutes group: OR=1.470, 95% CI: 1.094-1.976). Restricted cubic spline analysis showed that the waiting time for making an appointment (non-linear: χ2=13.18, P=0.001), the waiting time for vaccination (non-linear: χ2=13.50, P=0.001), and the total additional time consumed (non-linear: χ2=9.38, P=0.009) showed a non-linear inverted "V" dose response relationship to the overall satisfaction of vaccination services. Conclusions:The waiting time for parents to make an appointment, the waiting time for vaccination and the total additional time spent for receiving vaccination services affected the overall satisfaction rate of the vaccination services. And the waiting time for making an appointment was the most important factor, and it is necessary to shorten the waiting time for appointment. It is suggested that the vaccination clinic should make use of information technology (such as WeChat public account, APP) to make accurate appointments, make appointments to the time period to control the number of people within time period.

Objective:To understand the time for observation and related factors in the clinics after vaccination among children's parents.Methods:From December 2019 to January 2020, parents of children aged 0-3 years were recruited by multiple-stage sampling from 34 vaccination clinics in 12 districts and counties in 6 provinces (Shandong, Guangdong, Henan, Sichuan, Inner Mongolia, and Liaoning). A questionnaire survey on the time of observation after vaccination was conducted. A multivariate logistic regression model was used to analyze the related factors of parental observation time after vaccination.Results:A total of 3 292 parents of 0-3 year's old children were selected, and 3 178 parents were finally included in the analysis. 87.85%(2 792/3 178) of the parents reported that the observation time after vaccination at clinics was ≥30 minutes. Multivariate logistic regression analysis showed that, after adjusting for the regions, the main factors affecting the observation time at clinics after vaccination among parents appeared as observation time informed by physicians at the clinic appeared ≥30 minutes ( OR=31.622, 95% CI: 19.847-50.384), parents were medical personnel ( OR=2.779, 95% CI: 1.505-5.133), parents being volunteers working on vaccination-related publicity and education activities ( OR=1.986, 95% CI: 1.438-2.743), parents aged 35 years old or above ( OR=1.900, 95% CI: 1.215-2.971), being parents of the first child ( OR=1.663, 95% CI: 1.282-2.156), per capita annual income of the family as 8 000- Yuan ( OR=1.646, 95% CI: 1.168-2.319), children aged 0-12 months old ( OR=1.646, 95% CI: 1.203-2.252) or 13-24 months old ( OR=1.506, 95% CI: 1.064-2.133), obedient to physicians' advice at the clinic ( OR=1.481, 95% CI: 1.067-2.055). Conclusions:The proportions of parents observed for ≥30 minutes at the clinics of vaccination were high. When the information was from the physicians at the vaccination clinic, the observation time was the most critical factor for parents to observe at clinics as required.

The Zika virus (ZIKV) and dengue virus (DENV) flaviviruses exhibit similar replicative processes but have distinct clinical outcomes. A systematic understanding of virus–host protein–pro-tein interaction networks can reveal cellular pathways critical to viral replication and disease patho-genesis. Here we employed three independent systems biology approaches toward this goal. First, protein array analysis of direct interactions between individual ZIKV/DENV viral proteins and 20,240 human proteins revealed multiple conserved cellular pathways and protein complexes, including proteasome complexes. Second, an RNAi screen of 10,415 druggable genes identified the host proteins required for ZIKV infection and uncovered that proteasome proteins were crucial in this process. Third, high-throughput screening of 6016 bioactive compounds for ZIKV inhibition yielded 134 effective compounds, including six proteasome inhibitors that suppress both ZIKV and DENV replication. Integrative analyses of these orthogonal datasets pinpoint proteasomes as crit-ical host machinery for ZIKV/DENV replication. Our study provides multi-omics datasets for fur-ther studies of flavivirus–host interactions, disease pathogenesis, and new drug targets.

Objective:To screen and analyze the prognostic protein biomarkers of DLBCL, and to explore their value in the prognostic evaluation.Methods:163 cases of confirmed DLBCLs from January 2011 to December 2016 were collected with their clinical, pathological and follow-up data, which were all from our hospital. The expression of protein markers were tested using immunohistochemical staining (IHC) . The immune phenotypes independent of the International Prognostic Index (IPI) that affect overall survival (OS) and progression-free survival (PFS) of DLBCL were explored by COX regression model, and the effect of their co-expression on the prognosis were also analyzed.Result:BCL6 negative (PFS: HR=1.652, 95% CI 1.030-2.649, P=0.037) , P53 positive (OS: HR=1.842, 95% CI 1.008-3.367, P=0.047) , and BCL2 strong positive expressions (S+) (OS: HR=2.102, 95% CI 1.249-3.537, P=0.005; PFS: HR=2.126, 95% CI 1.312-3.443, P=0.002) are adverse prognostic factors of DLBCL that are independent of IPI. BCL6 - (PFS: HR=2.042, 95% CI 1.021-4.081, P=0.043) , P53 + (OS: HR=3.069, 95% CI 1.244-7.569, P=0.015) and BCL2 S+ (OS: HR=2.433, 95% CI 1.165-5.082, P=0.018; PFS: HR=3.209, 95% CI 1.606-6.410, P=0.001) are adverse prognostic factors in the group of age≤60-year-old; in the group of IPI score 0-2, cases with BCL6 - (OS: HR=2.467, 95% CI 1.322-4.604, P=0.005; PFS: HR=2.248, 95% CI 1.275-3.965, P=0.005) and BCL2 S+ (PFS: HR=2.045, 95% CI 1.119-3.735, P=0.020) have worse prognosis. The co-expression of BCL6 - and BCL2 S+ has significant influence on prognosis of DLBCL ( P=0.005 and P<0.001) , in which BCL6 +/non-BCL2 S+ ( n=86) has the best prognosis[3-year-OS (71.6±4.9) %, 3-year-PFS (67.0±5.1) %], and BCL6 -/BCL2 S+ ( n=10) has the worst prognosis[3-year-OS (20.0±12.6) %, 3-year-PFS (10.0±9.5) %]; the co-expression of BCL6 - and P53 + has no significant influence on prognosis ( P=0.061 and P=0.089) , however, those cases with BCL6 +/P53 - ( n=98) often get better prognosis[3-year-OS (70.6±4.7) %, 3-year-PFS (64.6±4.9) %] than others; the co-expression of P53 + and BCL2 S+ has significant influence on prognosis of DLBCL ( P<0.001 and P<0.001) , and P53 +/BCL2 S+ ( n=5) has the worst prognosis (3-year-OS and 3-year-PFS are both 0) ; BCL2 S+ cases get shorter OS and PFS, regardless of the expression of BCL6 and P53. Conclusion:The expression and co-expression of BCL6 negative, P53 positive and BCL2 S+ have certain value in the prognostic evaluation of DLBCL, especially in the group of age≤60-year-old and IPI score 0-2.