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Science and Ethics in Epidemiology

This article is the summary of my Special Lecture at the 14th Annual Scientific Meeting of the Japan Epidemiological Association in 2004. Epidemiology is defined as the “science of investigating the distribution of diseases in human populations and their determinants.” Recent advances in study metho...

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Autor principal: Hisamichi, Shigeru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japan Epidemiological Association 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702366/
https://www.ncbi.nlm.nih.gov/pubmed/15369126
http://dx.doi.org/10.2188/jea.14.105
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author Hisamichi, Shigeru
author_facet Hisamichi, Shigeru
author_sort Hisamichi, Shigeru
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description This article is the summary of my Special Lecture at the 14th Annual Scientific Meeting of the Japan Epidemiological Association in 2004. Epidemiology is defined as the “science of investigating the distribution of diseases in human populations and their determinants.” Recent advances in study methodology, especially a widespread conduct of randomized controlled trials (RCTs), have strengthened the scientific basis of epidemiology. When a highly scientific method of investigation is applied to humans, the ethical aspects of the study also become an issue. However, it would also be unethical to use new drugs and vaccines without scientific evidence. The ethical aspects and the scientific aspects of epidemiologic research are thus both very important, but conflict with each other, often causing dilemmas. I would discuss how we could solve these dilemmas and thus contribute ourselves to health promotion and disease prevention of human populations. Finally, I would propose the new paradigm of changing epidemiology into a “neotype science” and transformation of EKIGAKU (epidemiology) into EKIGAKU (beneficial science).
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spelling pubmed-87023662022-01-05 Science and Ethics in Epidemiology Hisamichi, Shigeru J Epidemiol Special Article This article is the summary of my Special Lecture at the 14th Annual Scientific Meeting of the Japan Epidemiological Association in 2004. Epidemiology is defined as the “science of investigating the distribution of diseases in human populations and their determinants.” Recent advances in study methodology, especially a widespread conduct of randomized controlled trials (RCTs), have strengthened the scientific basis of epidemiology. When a highly scientific method of investigation is applied to humans, the ethical aspects of the study also become an issue. However, it would also be unethical to use new drugs and vaccines without scientific evidence. The ethical aspects and the scientific aspects of epidemiologic research are thus both very important, but conflict with each other, often causing dilemmas. I would discuss how we could solve these dilemmas and thus contribute ourselves to health promotion and disease prevention of human populations. Finally, I would propose the new paradigm of changing epidemiology into a “neotype science” and transformation of EKIGAKU (epidemiology) into EKIGAKU (beneficial science). Japan Epidemiological Association 2005-03-18 /pmc/articles/PMC8702366/ /pubmed/15369126 http://dx.doi.org/10.2188/jea.14.105 Text en © 2004 Japan Epidemiological Association. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Special Article
Hisamichi, Shigeru
Science and Ethics in Epidemiology
title Science and Ethics in Epidemiology
title_full Science and Ethics in Epidemiology
title_fullStr Science and Ethics in Epidemiology
title_full_unstemmed Science and Ethics in Epidemiology
title_short Science and Ethics in Epidemiology
title_sort science and ethics in epidemiology
topic Special Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702366/
https://www.ncbi.nlm.nih.gov/pubmed/15369126
http://dx.doi.org/10.2188/jea.14.105
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