دورية أكاديمية
Disease Attribution to Multiple Exposures Using Aggregate Data.
| العنوان: | Disease Attribution to Multiple Exposures Using Aggregate Data. |
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| المؤلفون: | Lee WC; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University.; Innovation and Policy Center for Population Health and Sustainable Environment, College of Public Health, National Taiwan University., Wu YC; Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University. |
| المصدر: | Journal of epidemiology [J Epidemiol] 2023 Aug 05; Vol. 33 (8), pp. 405-409. Date of Electronic Publication: 2022 May 21. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Japan Epidemiological Association Country of Publication: Japan NLM ID: 9607688 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1349-9092 (Electronic) Linking ISSN: 09175040 NLM ISO Abbreviation: J Epidemiol Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: 2018- : [Tokyo] : Japan Epidemiological Association Original Publication: Tokyo : Japan Epidemiological Association |
| مواضيع طبية MeSH: | Disease Attributes* , Cost of Illness*, Humans ; Public Health ; Japan ; Causality |
| مستخلص: | Background: Identifying which exposures cause disease and quantifying their impacts is essential in promoting and monitoring public health. When multiple exposures are involved, measuring individual contributions becomes challenging. Methods: The authors propose a disease attribution method based on aggregate data or summary statistics of individual-level data, possibly from multiple data sources. Results: Using the proposed method, the burden of disease is apportioned to the independent and interaction effects of each of its major risk factors and all the other factors as a whole. This scheme guarantees that 100% is the total share of the burden. Conclusion: The calculation is simple and straightforward; therefore, it is recommended for use in studies on disease burden. |
| فهرسة مساهمة: | Keywords: attributable fraction; burden of disease; causal pie model; disease attribution; interaction |
| تواريخ الأحداث: | Date Created: 20220314 Date Completed: 20230824 Latest Revision: 20230824 |
| رمز التحديث: | 20230824 |
| مُعرف محوري في PubMed: | PMC10319529 |
| DOI: | 10.2188/jea.JE20210084 |
| PMID: | 35283399 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1349-9092 |
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| DOI: | 10.2188/jea.JE20210084 |