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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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701902/ https://www.ncbi.nlm.nih.gov/pubmed/29177850 http://dx.doi.org/10.1186/s40504-017-0063-9 |
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author | Höhle, Michael |
author_facet | Höhle, Michael |
author_sort | Höhle, Michael |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5701902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-57019022017-12-04 A statistician’s perspective on digital epidemiology Höhle, Michael Life Sci Soc Policy Research 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. Springer Berlin Heidelberg 2017-11-24 /pmc/articles/PMC5701902/ /pubmed/29177850 http://dx.doi.org/10.1186/s40504-017-0063-9 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Research Höhle, Michael A statistician’s perspective on digital epidemiology |
title | A statistician’s perspective on digital epidemiology |
title_full | A statistician’s perspective on digital epidemiology |
title_fullStr | A statistician’s perspective on digital epidemiology |
title_full_unstemmed | A statistician’s perspective on digital epidemiology |
title_short | A statistician’s perspective on digital epidemiology |
title_sort | statistician’s perspective on digital epidemiology |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5701902/ https://www.ncbi.nlm.nih.gov/pubmed/29177850 http://dx.doi.org/10.1186/s40504-017-0063-9 |
work_keys_str_mv | AT hohlemichael astatisticiansperspectiveondigitalepidemiology AT hohlemichael statisticiansperspectiveondigitalepidemiology |