ABSTRACT
To explore the methods of the explicitation of implicit knowledge and the construction of knowledge graph on moxibustion in medical case records of ZHOU Mei-sheng's Jiusheng. The medical case records data of Jiusheng was collected, the frequency statistic was analyzed based on Python3.8.6, complex network analysis was performed using Gephi9.2 software, community analysis was performed by the ancient and modern medical case cloud platform V2.3.5, and analysis and verification of correlation graph and weight graph were proceed by Neo4j3.5.25 image database. The disease systems with frequency≥10 % were surgery, ophthalmology and otorhinolaryngology, locomotor, digestive and respiratory systems. The diseases under the disease system were mainly carbuncle, arthritis, lumbar disc herniation and headache. The commonly used moxibustion methods were fumigating moxibustion, blowing moxibustion, direct moxibustion and warming acupuncture. The core prescription of points obtained by complex network analysis included Yatong point, Zhiyang(GV 9), Sanyinjiao(SP 6), Dazhui(GV 14), Zusanli(ST 36), Lingtai(GV 10), Xinshu(BL 15), Zhijian point and Hegu(LI 4), which were basically consistent with high-frequency points. A total of 6 communities were obtained by community analysis, corresponding to different diseases. Through the analysis of correlation graph, 13 pairs of strong association rule points were obtained. The correlation between Zhiyang(GV 9)-Dazhui(GV 14) and Yatong point-Lingtai(GV 10) was the strongest. The acupoints with high correlation with Yatong point were Zhiyang(GV 9), Lingtai(GV 10), Dazhui(GV 14), Zusanli(ST 36) and Sanyinjiao(SP 6). In the weight graph of the high-frequency disease system, the relationship of the first weight of the surgery system disease was fumigating moxibustion-carbuncle-Yatong point, and the relationship of the first weight of the ophthalmology and otorhinolaryngology system disease was blowing moxibustion-laryngitis-Hegu (LI 4). The results of correlation graph and weight graph are consistent with the results of data mining, which can be used as an effective way to study the knowledge base of moxibustion diagnosis and treatment in the future.
Subject(s)
Humans , Moxibustion , Carbuncle , Pattern Recognition, Automated , Acupuncture Therapy , Acupuncture PointsABSTRACT
ObjectiveTo analyze the epidemiological characteristics and incidence trend of influenza-like illness in Xuhui District from 2010 to 2019， in order to understand the patterns of influenza epidemic of Xuhui District，and to provide evidence for the prevention and control of influenza in the future. MethodsSurveillance data of influenza-like illness （ILI） in Xuhui District from 2010 to 2019 were collected from the National Influenza Surveillance System for statistical description and trend analysis. ResultsFrom 2010 to 2019， the overall proportion of influenza-like illness was 0.54%. The annual proportions of ILI were between 0.35%~1.14%．The majority of cases were reported in age group of 25~59， accounted for 54.50% of the total ILI. A total of 9 053 throat swab specimens from ILI patients were collected and tested， from which 2 137 specimens were positive， with a positive rate of 23.61%. The most frequent subtype of influenza virus detected was influenza A virus （accounting for 67.62%）. The proportion of ILI and the positive rate of influenza virus nucleic acid detection reached the peak in summer and winter over time. There was a positive correlation between the proportion of ILI and the positive rate of influenza （r=0.666， P<0.01）. From 2010 to 2019， both ILI% and nucleic acid positive rate of influenza virus showed a downward trend. ConclusionThe incidence of influenza shows a downward trend in Xuhui District， with two peaks in summer and winter. The most susceptible individuals are in 25~59 age group. The dominant strains of influenza virus alternate regularly， influenza A（H3N2） dominate the summer epidemic peak while the epidemic peak in winter is dominated by influenza A（H1N1） and influenza B.
ABSTRACT
ObjectiveTo analyze the epidemiological characteristics and incidence trend of influenza-like illness in Xuhui District from 2010 to 2019， in order to understand the patterns of influenza epidemic of Xuhui District，and to provide evidence for the prevention and control of influenza in the future. MethodsSurveillance data of influenza-like illness （ILI） in Xuhui District from 2010 to 2019 were collected from the National Influenza Surveillance System for statistical description and trend analysis. ResultsFrom 2010 to 2019， the overall proportion of influenza-like illness was 0.54%. The annual proportions of ILI were between 0.35%~1.14%．The majority of cases were reported in age group of 25~59， accounted for 54.50% of the total ILI. A total of 9 053 throat swab specimens from ILI patients were collected and tested， from which 2 137 specimens were positive， with a positive rate of 23.61%. The most frequent subtype of influenza virus detected was influenza A virus （accounting for 67.62%）. The proportion of ILI and the positive rate of influenza virus nucleic acid detection reached the peak in summer and winter over time. There was a positive correlation between the proportion of ILI and the positive rate of influenza （r=0.666， P<0.01）. From 2010 to 2019， both ILI% and nucleic acid positive rate of influenza virus showed a downward trend. ConclusionThe incidence of influenza shows a downward trend in Xuhui District， with two peaks in summer and winter. The most susceptible individuals are in 25~59 age group. The dominant strains of influenza virus alternate regularly， influenza A（H3N2） dominate the summer epidemic peak while the epidemic peak in winter is dominated by influenza A（H1N1） and influenza B.