中华皮肤科杂志 ›› 2020, Vol. 53 ›› Issue (12): 951-961.doi: 10.35541/cjd.20200913
医疗大数据应用技术国家工程实验室（中南大学）皮肤疾病大数据工作委员会
中华医学会皮肤性病学分会皮肤肿瘤研究中心
中国医师协会皮肤科医师分会皮肤肿瘤亚专业委员会
收稿日期:2020-09-15
修回日期:2020-10-20
发布日期:2020-12-02
通讯作者:
陈翔；陶娟；粟娟
E-mail:chenxiangck@126.com; tjhappy@126.com; sujuanderm@csu.edu.cn
基金资助:Committee on Skin Disease Big Data, National Engineering Laboratory of Medical Big Data Application Technology （Central South University）; Center for Cancer Research, Chinese Society of Dermatology; Subcommittee on Skin Cancer, China Dermatologist Association
Received:2020-09-15
Revised:2020-10-20
Published:2020-12-02
Contact:
Chen Xiang; Tao Juan; Su Juan
E-mail:chenxiangck@126.com; tjhappy@126.com; sujuanderm@csu.edu.cn
Supported by:摘要： 【摘要】 皮肤病流行病学是研究皮肤疾病分布、影响因素、预后及自然病程的主要方法。科学严谨的调查设计和标准化的测量方法有利于提高研究质量和数据的外部真实性。本共识对皮肤病流行病学调查的设计、现场诊断与评估、影响因素和疾病负担的测量进行说明和示例，旨在为开展高质量的皮肤病流行病学研究提供参考。
医疗大数据应用技术国家工程实验室（中南大学）皮肤疾病大数据工作委员会 中华医学会皮肤性病学分会皮肤肿瘤研究中心 中国医师协会皮肤科医师分会皮肤肿瘤亚专业委员会. [开放获取] 皮肤病流行病学研究专家共识[J]. 中华皮肤科杂志, 2020,53(12):951-961. doi:10.35541/cjd.20200913
Committee on Skin Disease Big Data, National Engineering Laboratory of Medical Big Data Application Technology （Central South University）, Center for Cancer Research, Chinese Society of Dermatology, Subcommittee on Skin Cancer, China Dermatologist Association. Expert consensus on the methodology of dermato-epidemiological investigations[J]. Chinese Journal of Dermatology, 2020, 53(12): 951-961.doi:10.35541/cjd.20200913
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