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									<identifier>oai:www.peertechzpublications.org:10.17352/ojtm.000019</identifier>
									<datestamp>2021-04-06</datestamp>
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									<oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
										<dc:title>
										Digital epidemiology of innovation
										</dc:title><dc:creator>Iván Camilo Triana Avellaneda</dc:creator><dc:creator> Luis Eduardo Pino</dc:creator><dc:creator>Denisse Rubio Cruz</dc:creator><dc:description>&lt;p&gt;Bio and infotech revolution including data management are global tendencies that have a relevant impact on healthcare. Concepts such as Big Data, Data Science and Machine Learning are now topics of interest within medical literature. All of them are encompassed in what recently is named as digital epidemiology. The purpose of this article is to propose our definition of digital epidemiology with the inclusion of a further aspect: Innovation. It means Digital Epidemiology of Innovation (DEI) and show the importance of this new branch of epidemiology for the management and control of diseases. In this sense, we will describe all characteristics concerning to the topic, current uses within medical practice, application for the future and applicability of DEI as conclusion.&lt;/p&gt;</dc:description>
										<dc:publisher>Open Journal of Tropical Medicine - Peertechz Publications</dc:publisher>
										<dc:date>2021-04-06</dc:date>
										<dc:type>Review Article</dc:type>
										<dc:identifier>https://doi.org/10.17352/ojtm.000019</dc:identifier>
										<dc:language>en</dc:language>
										<dc:rights>Copyright © Iván Camilo Triana Avellaneda et al.</dc:rights>
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