{"title":"统计学家对数字流行病学的看法。","authors":"Michael Höhle","doi":"10.1186/s40504-017-0063-9","DOIUrl":null,"url":null,"abstract":"<p><p>We address the question \"does digital epidemiology represent an epistemic shift in infectious disease epidemiology\" from a statistician's viewpoint. Our main argument is that infectious disease epidemiology has not changed fundamentally as it always has been data-driven. However, as the data aspect has become more prominent, we discuss the statistical toolbox of the modern epidemiologist and argue that problem solving in the digital age, more than ever requires an interdisciplinary quantitative approach.</p>","PeriodicalId":37861,"journal":{"name":"Life Sciences, Society and Policy","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2017-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s40504-017-0063-9","citationCount":"8","resultStr":"{\"title\":\"A statistician's perspective on digital epidemiology.\",\"authors\":\"Michael Höhle\",\"doi\":\"10.1186/s40504-017-0063-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>We address the question \\\"does digital epidemiology represent an epistemic shift in infectious disease epidemiology\\\" from a statistician's viewpoint. Our main argument is that infectious disease epidemiology has not changed fundamentally as it always has been data-driven. However, as the data aspect has become more prominent, we discuss the statistical toolbox of the modern epidemiologist and argue that problem solving in the digital age, more than ever requires an interdisciplinary quantitative approach.</p>\",\"PeriodicalId\":37861,\"journal\":{\"name\":\"Life Sciences, Society and Policy\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2017-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1186/s40504-017-0063-9\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Life Sciences, Society and Policy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s40504-017-0063-9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Arts and Humanities\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Life Sciences, Society and Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s40504-017-0063-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Arts and Humanities","Score":null,"Total":0}
A statistician's perspective on digital epidemiology.
We address the question "does digital epidemiology represent an epistemic shift in infectious disease epidemiology" from a statistician's viewpoint. Our main argument is that infectious disease epidemiology has not changed fundamentally as it always has been data-driven. However, as the data aspect has become more prominent, we discuss the statistical toolbox of the modern epidemiologist and argue that problem solving in the digital age, more than ever requires an interdisciplinary quantitative approach.
期刊介绍:
The purpose of Life Sciences, Society and Policy (LSSP) is to analyse social, ethical and legal dimensions of the most dynamic branches of life sciences and technologies, and to discuss ways to foster responsible innovation, sustainable development and user-driven social policies. LSSP provides an academic forum for engaged scholarship at the intersection of life sciences, philosophy, bioethics, science studies and policy research, and covers a broad area of inquiry both in emerging research areas such as genomics, bioinformatics, biophysics, molecular engineering, nanotechnology and synthetic biology, and in more applied fields such as translational medicine, food science, environmental science, climate studies, research on animals, sustainability, science education and others. The goal is to produce insights, tools and recommendations that are relevant not only for academic researchers and teachers, but also for civil society, policy makers and industry, as well as for professionals in education, health care and the media, thus contributing to better research practices, better policies, and a more sustainable global society.