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Die technologische Revolution des letzten Jahrzehnts, die globale Vernetzung, der Informationsaustausch \u00fcber soziale Medien und insbesondere die nahezu gesamtgesellschaftliche Nutzung mobiler Endger\u00e4te erm\u00f6glichen es, individuenspezifische Daten mit einer Aufl\u00f6sung zu erfassen, die noch vor einigen Jahren unm\u00f6glich erschien. Diese Daten werden in der <jats:italic>digitalen Epidemiologie<\/jats:italic> untersucht, um epidemiologische Fragen besser beantworten zu k\u00f6nnen.<\/jats:p><jats:p>Dieser Artikel liefert einen \u00dcberblick. Es werden verschiedene Aspekte der digitalen Epidemiologie diskutiert. An Beispielen wird erl\u00e4utert, wie epidemiologische und bioinformatische Daten auf interaktiven Internetplattformen zusammengef\u00fchrt werden, wie durch Analyse der Inhalte und des Informationsaustauschs \u00fcber soziale Medien und Netzwerke wichtige Erkenntnisse gewonnen werden und wie mithilfe mobiler Endger\u00e4te in nat\u00fcrlichen Experimenten Kontakt- und Proximit\u00e4tsnetzwerke rekonstruiert werden, um die Dynamik direkt \u00fcbertragbarer Infektionskrankheiten besser verstehen, beschreiben und vorhersagen zu k\u00f6nnen.<\/jats:p><jats:p>Es wird erkl\u00e4rt, wieso die moderne Netzwerktheorie, aber auch Methoden des maschinellen Lernens und k\u00fcnstliche Intelligenz bei der Analyse sehr gro\u00dfer Datens\u00e4tze wichtige Werkzeuge sind und wie traditionelle, statistische Ans\u00e4tze der Infektionsepidemiologie durch diese neuen Methoden erg\u00e4nzt werden.<\/jats:p><jats:p>Die ethischen Herausforderungen im Bereich Datenschutz, Datensicherheit und Pers\u00f6nlichkeitsrechte werden schlie\u00dflich diskutiert. Konzepte und Wege, personenbezogene Verhaltensdaten einerseits nutzbar zu machen und andererseits die Datenhoheit jedes Einzelnen zu wahren, werden skizziert.<\/jats:p>","DOI":"10.1007\/s00103-019-03080-z","type":"journal-article","created":{"date-parts":[[2020,1,23]],"date-time":"2020-01-23T13:02:48Z","timestamp":1579784568000},"page":"166-175","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Digitale Epidemiologie","Digital epidemiology"],"prefix":"10.1007","volume":"63","author":[{"given":"Dirk","family":"Brockmann","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,1,23]]},"reference":[{"key":"3080_CR1","doi-asserted-by":"publisher","first-page":"2012","DOI":"10.1126\/science.282.5396.2012","volume":"282","author":"C. elegans Sequencing Consortium","year":"1998","unstructured":"C. elegans Sequencing Consortium (1998) Genome sequence of the nematode C. 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