项目主题
Theme
“One Health”大健康科学研究
One Health Research in Health Sciences
项目概述
Overview
在当今快速发展的科技时代，公共卫生领域正面临前所未有的挑战与机遇。数据科学的进步为我们提供了解决复杂公共卫生问题的新工具和方法，而技术创新则为改善全球卫生状况开辟了新的途径。鉴于此，我们提出“One Health”大健康科学研究暑期学校项目，旨在培养未来公共卫生领域的领导者和创新者。
该项目将重点关注两门核心课程：“数据科学的实用生物统计学”和“卫生技术评估”。通过“数据科学的实用生物统计学”课程，学生将学习如何应用统计学原理和数据分析技术来解决公共卫生问题，掌握从大数据中提取有用信息以支持决策的技能。而“卫生技术评估”课程则专注于评估新兴卫生技术的效果、成本效益和影响，培养学生在推进健康创新时进行批判性思考的能力。
The public health field faces new challenges and opportunities in today's rapidly evolving technological era. Advances in data science have provided us with the latest tools and methods for solving complex public health problems, while technological innovations have opened new avenues for improving global health. Given this, we propose the One Health Summer School program, which aims to train future leaders and innovators in public health.
The program will focus on two core courses: Practical Biostatistics for Data Science and Health Technology Assessment. In Practical Biostatistics for Data Science, students will learn how to apply statistical principles and data analysis techniques to solve public health problems. They will also acquire the skills to extract useful information from big data to support decision-making. The Health Technology Assessment course evaluates emerging health technologies' effectiveness, cost-effectiveness, and impact. It aims to develop students' ability to think critically about advancing health innovations.
授课老师
Teachers
Depeng Jiang, BSc, MSc, PhD
Dr. Depeng Jiang is a professor in Biostatistics in the Community Health Sciences in the Max Rady College of Medicine at the University of Manitoba.
He also leads the Biostatistics Group in the data science platform of George & Fay Yee Centre for Healthcare Innovation (CHI).
Dr. Jiang has worked as a PhD statistician at St Michael's Hospital (2007-2010), LaMarsh Centre for Child & Youth Research at York University (2004-2017).
He has well-established relationship through years of collaboration with multidisciplinary researchers and policy-makers. He has consolidated and made available his program of research to local, national and international venues, while providing training on advanced statistical methods for students, researchers and faculty members from different subject area. Application of these statistical methods has not only provided the necessary evidence to support decision making, but also significantly increased researchers and trainees’ chances of success in journal publications and grant competition, as well as transformed their abilities to do research.
Dr Huajie Jin
Dr. Huajie Jin (Lily) is a Senior Lecturer in Health Economics at King’s College London (KCL). She also holds an Honorary Associate Professorship at University College London (UCL), and at the Health Technology Assessment Research Department of the Shanghai Health Development Research Centre. In her role as Deputy Head at the King's Health Economics, she is responsible for managing and supporting research funding applications and staffing issues. Since June 2021, Dr. Jin has been the sole health economic advisor to the scrutiny panel for planned care, reporting to the Welsh government.
Before joining KCL, she worked on the National Institute for Health and Care Excellence (NICE) clinical guidelines for three years. During this period, Lily was the principal health economist of three NICE clinical guidelines and three NICE Medtech innovation briefings (MIBs).
Dr. Jin leads health economic analysis for several large-scale clinical trials and assists NICE in cost assessments of advanced medical technologies. In the past few years, she has collaborated with multiple clinical teams in the United Kingdom, the Netherlands, and Africa, winning several research grants funded by the National Institute for Health Research (NIHR), the Royal Society of the United Kingdom, and the European Union's Horizon Europe program.
Her primary research focuses on health economic evaluation, cost-of-illness studies, and whole disease modeling.
日程安排
Schedule
日程安排：2024年8月19日-9月13日
Proposed schedule: August 19-September 13，2024
1.《数据科学的实用生物统计学》：
上课地点：东南大学丁家桥校区综合楼208
上课时间：2024年8月19日-9月13日
2.《卫生技术评估》：
上课地点：东南大学丁家桥校区综合楼208
上课时间：2024年8月19日-8月23日