Publications by authors named "Shuxin Hao"
Article Synopsis
- Several studies show a link between temperature changes and various diseases, but little research exists on the relationship between temperature and skin diseases, particularly in China.
- This study aimed to measure the impact of heat on skin diseases and identify at-risk populations and regions in China using data collected from 2014 to 2018.
- It was found that a 1 °C rise in daily mean temperature during warm months increased the risk of skin disease-related outpatient visits by 1.25%, with certain demographics, like males and those aged 18-44, being more vulnerable.
- The study highlights the need for targeted health measures and early warning systems to address heat-related skin diseases.
Air pollution is a significant risk factor contributing to the burden of disease in China. Health risk assessment and management are important to reduce the impact of air pollution on public health. To help formulate standardized health risk assessment techniques, a series of studies were conducted from 2006 to 2019.
View Article and Find Full Text PDFBackground: Few data on the combined effects of bifurcation and calcification on coronary artery disease (CAD) patients undergoing percutaneous coronary intervention (PCI) are available. This study evaluated the impact of main vessel (MV) calcification on the procedural and long-term outcomes in patients with CAD who underwent provisional single stent PCI.
Methods: This is a multicenter, prospective, observational study.
Objective: To implement the data quality control in the information system of air pollution and health impact monitoring, and improve the data quality.
Methods: Building the rule database recognized by the computer through summarizing and refining data quality verification rules to control the data quality through off-line quality control and on-line quality control.
Results: The data quality control in the whole process is realized, which includes data collection, toolkit verification, document verification, data checking and data auditing.
Objective: To study the application of classified protection of information security in the information system of air pollution and health impact monitoring, so as to solve the possible safety risk of the information system.
Methods: According to the relevant national standards and requirements for the information system security classified protection, and the professional characteristics of the information system, to design and implement the security architecture of information system, also to determine the protection level of information system.
Results: Basic security measures for the information system were developed in the technical safety and management safety aspects according to the protection levels, which effectively prevented the security risk of the information system.
Objective: To establish a new information system of air pollution and health effects surveillance including of data collection, data management, data quality control and statistics and visual display.
Methods: To integrate the limits of authority, process management, quality control into the whole process of data collecting, data processing, data auditing and statistics through B/S framework according to the design concept of separating the professional applications from permissions management, and the data centralized management.
Results: The key functions of the information system including data collection, three level auditing, statistics, visual display and system management have been implemented.
Objective: To implement the online statistical analysis function in information system of air pollution and health impact monitoring, and obtain the data analysis information real-time.
Methods: Using the descriptive statistical method as well as time-series analysis and multivariate regression analysis, SQL language and visual tools to implement online statistical analysis based on database software.
Results: Generate basic statistical tables and summary tables of air pollution exposure and health impact data online; Generate tendency charts of each data part online and proceed interaction connecting to database; Generate butting sheets which can lead to R, SAS and SPSS directly online.
Objective: To develop a method for cleaning the outpatient data rapidly and generating the statistical reports automatically.
Methods: Formulating the cleaning rules according to the data characters, writing programs to clean the individual cases and generate the statistical reports using the SQL language.
Results: It could clean the different individual cases rapidly, calculate the daily outpatient visits and generate the statistical reports automatically with high accuracy.