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Methodology research of global burden of diseases (GBD)
China (IFMSA-China) - Peking Union Medical College, Beijing
Global Health and Neglected Diseases
Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & School of Basic Medicine
Type of Research Project
- Basic science
What is the background of the project?
global burden of diseases (GBD) methodology contains great uncertainty in details and accuracy due to its global scale. However, it is vital if the estimation for disease burden for Chinese population is valid or correct so as to affect health policies. Our research group works on collecting and analyzing local data and verifying the methodology and results of GBD in China. We collect data on medical, public health surveillance, environmental and behavioral risk factors by field survey or cooperation with local authorities. Then we analyze the data and present some parameters within the GBD methodology, compare them with the original ones and discuss the differences.
What is the aim of the project?
1 To verify the prevalence of 10 major non-communicable chronic diseases in Chinese population. 2 To calculate a series of weight of disability (DW) for Chinese population. 3 To estimate the attributable risks of various risk factors on major chronic diseases. 4 To evaluate the effectiveness of smoke-free legislation on circulate diseases in several Chinese cities.
What techniques and methods are used?
Stage 1 Data collection To obtain data of Death-surveillance, incidence monitoring, medical records, etc. Mainly by cooperation with local scientists of authority. Field work will be included in this stage. Stage 2 Data cleaning and organization To check mistake, missing, duplication, etc. in the data sets, and combine them to make the datasets available for further statistical analysis. Stage 3 Data analysis and results interpretation. To build models according to background knowledge, previous literature, principle of fitting, etc. And then discuss the results and make conclusions. Tools used: Microsoft office and statistical software e.g. SAS, SPSS. Some special data analysis software may also be used e.g. DISMOD
What is the role of the student?
- The student will observe the practical experiments but will be highly involved in the analysis of the results
- The tasks of the student will be performed on his/her own
What are the tasks expected to be accomplished by the student?
1) Quality control for field survey: The student is supposed to participate in field survey work, if his/her time of visit fits, to help control the quality of implementation according to certain protocols. 2) Data cleaning The tasks for the student is to check mistake, missing, duplication, logical abnormality, etc. in the data sets, communicate with local cooperators about them and correct them, then combine and organize the datasets from field survey for further statistical analysis. 3) Data analysis The student is supposed to build and run statistic models, and make estimation, evaluation, calculation, etc. according to various aims of research.
Will there be any theoretical teaching provided (preliminary readings, lectures, courses, seminars etc)
The student will be able to learn theoretical knowledge by communication with research group leader and members. Reading material could be provided. In addition, the tutor will discuss and explain in detail about the project that students will be conducting. Students are encouraged to take part in the group meeting and seminars.
What is expected from the student at the end of the research exchange? What will be the general outcome of the student?
- The student will prepare a presentation - The student will prepare a scientific report - The student’s name will be mentioned in a future publication - The student will have the opportunity to present the results together with the supervisor at a conference
What skills are required of the student? Is there any special knowledge or a certain level of studies needed?
Background in preventive medicine, public health, epidemiology or statistics. Data analysis skills.
Are there any legal limitations in the student’s involvement
Type of students accepted
This project accepts: - Medical students - Graduated students (less than 6 months) - Pre-Medical students from the American-British system - Students in biomedical fields
- Wan X; Ren HY; Ma E; et al. Mortality Trends for Ischemic Heart Disease in China: an Analysis of 102 Continuous Disease Surveillance Points from 1991 to 2009. BMC Public Health. 2018;18: 52
- Wan X; Yang GH. Is the Mortality Trend of Ischemic Heart Disease by the GBD2013 Study in China Real? Biomed Environ Sci. 2017; 30(3):204-9
- Yang GH; Wang Y; Zeng YX; et al. Rapid Health Transition in China; 1990-2010: Findings from the Global Burden of Disease Study 2010. Lancet 2013: 381: 1987-2015
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