Background: The treatment of brucellosis suffers from a high recurrence rate and drug resistance. Our study researched the differences in efficacy and side effects between triple antibiotics therapy and dual antibiotics therapy in the treatment of brucellosis through a systematic review and meta-analysis. Methods: We searched 4 English electronic databases and 2 Chinese electronic databases for randomized controlled trials and cohort studies published through September 2022 on the use of triple antibiotics versus dual antibiotics in the treatment of brucellosis. Overall outcome indicators were therapeutic failure rate, relapse rate, overall therapeutic failure rate, and side effect rate. Relative risk (RR) and 95% confidence intervals (95% CIs) were used as summary statistics. A fixed-effects model was used to combine the overall effect sizes. Results: The meta-analysis included 15 studies consisting of 11 randomized controlled trials and 4 cohort studies. Triple antibiotics showed better efficacy than dual antibiotics in a comparison of 3 overall outcome indicators (therapeutic failure rate (RR 0.42; 95% CI 0.30 to 0.59 heterogeneity P = 0.29, I² = 15%), relapse rate (RR 0.29; 95% CI 0.18 to 0.45 heterogeneity P = 0.88, I² = 0%), and overall therapeutic failure rate (RR 0.37; 95% CI 0.28 to 0.48 heterogeneity P = 0.35, I² = 9%)). The incidence of side effects in patients with brucellosis treated with triple antibiotics was not significantly different from that in brucellosis patients treated with dual antibiotics (RR 0.85; 95% CI 0.67 to 1.06 heterogeneity P = 0.1, I² = 35%). Sensitivity analyses showed robust results and Peter’s test showed no publication bias. The results of subgroup analyses for the research type, drugs, and type of brucellosis were largely consistent with the overall outcome indicators, indicating the reliability and robustness of the overall results. Conclusions: In the treatment of brucellosis, triple antibiotics have better efficacy than dual antibiotics and do not increase the incidence of side effects.

Background: Chickenpox is an old but easily neglected infectious disease. Although chickenpox is preventable by vaccines, vaccine breakthroughs often occur, and the chickenpox epidemic is on the rise. Chickenpox is not included in the list of regulated communicable diseases that must be reported and controlled by public and health departments; therefore, it is crucial to rapidly identify and report varicella outbreaks during the early stages. The Baidu index (BDI) can supplement the traditional surveillance system for infectious diseases, such as brucellosis and dengue, in China. The number of reported chickenpox cases and internet search data also showed a similar trend. BDI can be a useful tool to display the outbreak of infectious diseases. Objective: This study aimed to develop an efficient disease surveillance method that uses BDI to assist in traditional surveillance. Methods: Chickenpox incidence data (weekly from January 2017 to June 2021) reported by the Yunnan Province Center for Disease Control and Prevention were obtained to evaluate the relationship between the incidence of chickenpox and BDI. We applied a support vector machine regression (SVR) model and a multiple regression prediction model with BDI to predict the incidence of chickenpox. In addition, we used the SVR model to predict the number of chickenpox cases from June 2021 to the first week of April 2022. Results: The analysis showed that there was a close correlation between the weekly number of newly diagnosed cases and the BDI. In the search terms we collected, the highest Spearman correlation coefficient was 0.747. Most BDI search terms, such as “chickenpox,” “chickenpox treatment,” “treatment of chickenpox,” “chickenpox symptoms,” and “chickenpox virus,” trend consistently. Some BDI search terms, such as “chickenpox pictures,” “symptoms of chickenpox,” “chickenpox vaccine,” and “is chickenpox vaccine necessary,” appeared earlier than the trend of “chickenpox virus.” The 2 models were compared, the SVR model performed better in all the applied measurements: fitting effect, R2=0.9108, root mean square error (RMSE)=96.2995, and mean absolute error (MAE)=73.3988; and prediction effect, R2=0.548, RMSE=189.1807, and MAE=147.5412. In addition, we applied the SVR model to predict the number of reported cases weekly in Yunnan from June 2021 to April 2022 using the same period of the BDI. The results showed that the fluctuation of the time series from July 2021 to April 2022 was similar to that of the last year and a half with no change in the level of prevention and control. Conclusions: These findings indicated that the BDI in Yunnan Province can predict the incidence of chickenpox in the same period. Thus, the BDI is a useful tool for monitoring the chickenpox epidemic and for complementing traditional monitoring systems.

Background: Mobile phone addiction has adverse influences on the physical and mental health of college students. However, few studies shed light on the effect of fear of missing out on mobile phone addiction and the underlying mechanisms among college students.Methods: To explore their associations, the present study used the Fear of Missing Out Scales (FoMOS), Loneliness Scale (USL-8), Mobile Phone Addiction Index Scale (MPAI), and Depression-Anxiety-Stress Questionnaire (DASS-21) to investigate 750 college students.Results: The results suggested that fear of missing out significantly positively predicted mobile phone addiction. This direct effect could be mediated by depression, and the indirect effect of fear of missing out on mobile phone addiction could be moderated by loneliness. Specifically, the indirect effect was stronger for students with high levels of loneliness.Conclusion: This study provides a theoretical basis for developing future interventions for mobile phone addiction in higher education students.

Adverse Childhood Experiences (ACEs) may have an impact on cognitive disability through multiple pathways. Frequent Mental Distress (FMD) could result in cognitive disability through different aspects, but the potential mediating role of FMD in the associations remained unclear. So we aimed to investigate not only the association between self-reported ACEs and cognitive disability, but also the mediating effect of FMD between ACEs and cognitive disability. A cross-sectional analysis of respondents aged 18–25 years old in the 2020 and 2021 Behavioral Risk Factor Surveillance System (BRFSS) was performed. Weighted multivariate logistic regression models were used to assess the association of ACEs with FMD and cognitive disability. Mediation effects were used to investigate FMD as mediation between ACEs and cognitive disability in emerging adults. Among the 10,309 respondents, the prevalence of cognitive disability was 15.8%, and 71.6% of them experienced ACEs. We found experienced ACEs, self-reported FMD were significantly associated with 4.05 and 5.61 times increased risk of cognitive disability, respectively. The more types of ACEs respondents experienced, the higher risks of cognitive disability. And mediating effect analysis found FMD mediated the associations between ACEs and cognitive disability. Our study indicated a strong association between ACEs and cognitive disability in emerging adults. Furthermore, FMD plays a mediating role in the associations.