RESUMO
Background: Technological innovations gained momentum and supported COVID-19 intelligence surveillance among high-risk populations globally. We examined technology surveillance using mobile thermometer detectors (MTDs), knowledge of App, and self-efficacy as a means of sensing body temperature as a measure of COVID-19 risk mitigation. In a cross-sectional survey, we explored COVID-19 risk mitigation, mobile temperature detectable by network syndromic surveillance mobility, detachable from clinicians, and laboratory diagnoses to elucidate the magnitude of community monitoring. Materials and Methods: In a cross-sectional survey, we create in-depth comprehension of risk mitigation, mobile temperature Thermometer detector, and other variables for surveillance and monitoring among 850 university students and healthcare workers. An applied structural equation model was adopted for analysis with Amos v.24. We established that mobile usability knowledge of APP could effectively aid in COVID-19 intelligence risk mitigation. Moreover, both self-efficacy and mobile temperature positively strengthened data visualization for public health decision-making. Results: The algorithms utilize a validated point-of-center test to ascertain the HealthCode scanning system for a positive or negative COVID-19 notification. The MTD is an alternative personal self-testing procedure used to verify temperature rates based on previous SARS-CoV-2 and future mobility digital health. Personal self-care of MTD mobility and knowledge of mHealth apps can specifically manage COVID-19 mitigation in high or low terrestrial areas. We found mobile usability, mobile self-efficacy, and app knowledge were statistically significant to COVID-19 mitigation. Additionally, interaction strengthened the positive relationship between self-efficacy and COVID-19. Data aggregation is entrusted with government database agencies, using natural language processing and machine learning mechanisms to validate and analyze. Conclusion: The study shows that temperature thermometer detectors, mobile usability, and knowledge of App enhanced COVID-19 risk mitigation in a high or low-risk environment. The standardizing dataset is necessary to ensure privacy and security preservation of data ethics.
RESUMO
As a prescription for promoting blood circulation and removing blood stasis, Taohong Siwu Decoction(THSWD) has certain effects in delaying the progression of renal fibrosis. However, as a traditional Chinese medicine compound containing many monomer components, it has been a research hotspot in the field of exploring the research methods and targets for the complex pathological process. The method of activating blood circulation and removing blood stasis has certain clinical effect in retarding the process of IgA nephropathy(IgAN) fibrosis, but the mechanism of action is still unclear. In this study, the network pharmacology method was used to investigate the active ingredients, targets and molecular mechanisms of THSWD in the intervention of IgAN fibrosis. On this basis, in vitro experiments were conducted to verify the effect of THSWD on the expression of ERK factor in BALB/c 3 T3 cells. The active ingredients and targets in THSWD were collected through the TCMSP. Sixty-one active ingredients and 240 targets including luteolin and quercetin were screened, and 185 targets were obtained by intersecting with CTD database to search IgAN related targets. Cytoscape software and STRING database were used to construct "THSWD-active ingredients-targets" network and protein-protein interaction network, and 69 core targets were screened. In DAVID's GO enrichment analysis and KEGG pathway analysis of the core targets and cell experiments, the results showed that ERK was an important factor for THSWD to interfere with IgAN fibrosis, and THSWD intervention could significantly decrease cell activity, ERK1/2 mRNA expression, and p-ERK1/2 protein expression. This study preliminarily revealed that THSWD may delay the growth of fibroblasts by affecting ERK factor and its phosphorylation level.
