1.Influencing factors for operative workload: analysis based on multivariate regression model
Yanbing ZENG ; Jiajing LI ; Manqiong YUAN ; Hong ZHENG ; Guanhua YAO ; Ya FANG
Chinese Journal of Hospital Administration 2018;34(2):141-143
Objective To establish a multi-regression workload model based on surgical related factors.Methods The routine surgery workload was measured by the RBRVS development process of Hsiao WC,and multiple regression models were established for the operative factors from the surgical project specifications,pricing regulations and the operative workload.Results Top workload factors of an operation were technical difficulty,surgical classification and time cost.Multiple regression equation R2=0.699.One degree increase of technical difficulty would push up workload by 0.034;one level of operation grade would raise workload by 0.793;and every one hour longer of the operation time would increase workload by 1.025. Conclusions Operations of higher level, technical difficulty and longer time cost should deserve more reimbursement in consideration of both pricing and income distribution.
2.Research on spatiotemporal spread of avian influenza A(H7N9) virus based on discrete geographic information
Meixia WANG ; Manqiong YUAN ; Ya FANG
Chinese Journal of Epidemiology 2016;37(11):1491-1496
Objective To establish a dynamic spatiotemporal spread modes of influenza A(H7N9) virus by using discrete geographic information and explore the spatiotemporal transmission of the virus.Methods The gene sequences of H7N9 virus isolated from human in China,which were available from Global Initiative on Sharing Avian Influenza Data (GISAID),were used in alignment by using software BioEdit 7.0.Spatiotcmporal spread model of H7N9 virus was established in a Bayesian statistical framework by using software BEAST 1.8.2.The symmetric substitution model and Bayesian stochastic search variable selection (BSSVS) were used to infer and verify the historical transmission route of H7N9 virus.Finally the spatiotemporal transmission route was presented by Google Earth software.Results The transmission of avian influenza A (H7N9) virus originated in Shanghai and Hangzhou,and can be dated back to October 2012.In March and April 2013,it began to spread to the neighboring provinces.The transmission speed up in August and September and affected more than ten geographic positions within 3 months.Conclusion Based on gene sequences and spatial geographic information,the transmission route of H7N9 virus was traced,which would support the avian influenza prevention and control as well as avian influenza virus tracing.

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