In December 2019, the outbreak of a new coronavirus-caused pneumonia (COVID-19) in Wuhan attracted close attention in China and the world. The Chinese government took strong national intervention measures on January 23 to control the spread of the epidemic. We are trying to show the impact of these controls on the spread of the epidemic. We proposed an SEIR(Susceptible-Exposed-Infectious-Removed) model to analyze the epidemic trend in Wuhan and use the AI model to analyze the epidemic trend in non-Wuhan areas. We found that if the closure was lifted, the outbreak in non-Wuhan areas of mainland China would double in size. Our SEIR and AI model was effective in predicting the COVID-19 epidemic peaks and sizes. The epidemic control measures taken by the Chinese government, especially the city closure measures, reduced the scale of the COVID-19 epidemic.

Background Technology holds promise for delivery of accessible, individualized, and destigmatized obesity prevention and treatment to youth. Objectives This review examined the efficacy of recent technology-based interventions on weight outcomes. Methods Seven databases were searched in April 2020 following PRISMA guidelines. Inclusion criteria were: participants aged 1–18 y, use of technology in a prevention/treatment intervention for overweight/obesity; weight outcome; randomized controlled trial (RCT); and published after January 2014. Random effects models with inverse variance weighting estimated pooled mean effect sizes separately for treatment and prevention interventions. Meta-regressions examined the effect of technology type (telemedicine or technology-based), technology purpose (stand-alone or adjunct), comparator (active or no-contact control), delivery (to parent, child, or both), study type (pilot or not), child age, and intervention duration. Findings In total, 3406 records were screened for inclusion; 55 studies representing 54 unique RCTs met inclusion criteria. Most (89%) included articles were of high or moderate quality. Thirty studies relied mostly or solely on technology for intervention delivery. Meta-analyses of the 20 prevention RCTs did not show a significant effect of prevention interventions on weight outcomes ( d = 0.05, p = 0.52). The pooled mean effect size of n = 32 treatment RCTs showed a small, significant effect on weight outcomes ( d = ‒0.13, p = 0.001), although 27 of 33 treatment studies (79%) did not find significant differences between treatment and comparators. There were significantly greater treatment effects on outcomes for pilot interventions, interventions delivered to the child compared to parent-delivered interventions, and as child age increased and intervention duration decreased. No other subgroup analyses were significant. Conclusions Recent technology-based interventions for the treatment of pediatric obesity show small effects on weight; however, evidence is inconclusive on the efficacy of technology based prevention interventions. Research is needed to determine the comparative effectiveness of technology-based interventions to gold-standard interventions and elucidate the potential for mHealth/eHealth to increase scalability and reduce costs while maximizing impact.

This study aimed to characterize the clinical features and the related cerebral glucose metabolism pattern of cognitive impairments in Parkinson's disease (PD) with positron emission tomography (PET) imaging. We recruited 168 PD patients and 100 age-matched healthy controls of similar education and gender distribution. All of those enrolled underwent clinical assessment including the unified Parkinson's disease rating scale motor score, Hoehn and Yahr scale, and comprehensive neuropsychological tests including domains of executive function, attention, memory, visuospatial function, and language. Demographics and the results of cognitive measures were compared between patients and healthy controls. Cognition status was classified as PD patients with dementia (PD-D), PD patients with mild cognitive impairment (PD-MCI), or PD patients with normal cognition (PD-NC). In 53 PD patients who underwent F-fluorodeoxyglucose ( F-FDG) PET imaging, correlations between Z-score values of the different cognitive domains and cerebral F-FDG uptake were assessed using statistical parametric mapping (SPM8) corrected for age and motor severity. A total of 23.2% of PD patients were PD-MCI and 8.9% were PD-D. In the group of PD-MCI, 96.3% showed multiple-domain deficits, with executive function and attention impairment most predominantly involved. All the cognitive domain scores with the exception of language correlated with F-FDG metabolisms, primarily in posterior temporo-parieto-occipital association cortical areas. This study found that cognitive impairment in PD particularly encompasses frontal/executive deficits. Posterior cortical areas, containing multiple neurotransmitters and neural circuits, may play an important role in the pathogenesis of cognitive impairment in PD.

Purpose This study explored the impact of COVID-19 on the mental health and adaptation of behavior of Zhuang women in China to provide more specific guidance for the social and medical practice of pregnant women during public health emergencies. Participants and Methods This cross-sectional study recruited 446 pregnant Zhuang women from obstetric outpatient clinics in four tertiary hospitals and online maternity schools in Nanning, Guangxi, between February 24 and March 1, 2020. Self-designed questionnaires and the Self-Rating Anxiety Scale were used. Results During the COVID-19 pandemic, the prevalence rate of anxiety among women was 36.77%, and some adaptation of behavior was observed. Logistic regression analysis showed that pregnant women who had an annual household income of less than $7,000, were primiparous, went out for prenatal examination, wanted to self-monitor during pregnancy but did not know how to do it, believed that they should be strictly isolated at home and cancel prenatal examinations, and expected to receive pregnancy healthcare through teleconsultation services showed a higher risk of anxiety. Nevertheless, pregnant Zhuang women who were 22–35 years old, undergraduate-educated, and in their second trimester were less likely to suffer from anxiety. Conclusion The COVID-19 pandemic has a significant psychological impact on pregnant women from ethnic minorities. Factors related to quarantine and social isolation policies appear to drive changes in behaviors and anxiety disorders. Multidisciplinary mental health services and culturally sensitive interventions are necessary for minority pregnant women, especially for low-income primiparous women in the first or third trimester.