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Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making
The biggest change brought about by the “era of big data” to health in general, and epidemiology in particular, relates arguably not to the volume of data encountered, but to its variety. An increasing number of new data sources, including many not originally collected for health purposes, are now b...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994248/ https://www.ncbi.nlm.nih.gov/pubmed/33778039 http://dx.doi.org/10.3389/fvets.2021.633977 |
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author | Dórea, Fernanda C. Revie, Crawford W. |
author_facet | Dórea, Fernanda C. Revie, Crawford W. |
author_sort | Dórea, Fernanda C. |
collection | PubMed |
description | The biggest change brought about by the “era of big data” to health in general, and epidemiology in particular, relates arguably not to the volume of data encountered, but to its variety. An increasing number of new data sources, including many not originally collected for health purposes, are now being used for epidemiological inference and contextualization. Combining evidence from multiple data sources presents significant challenges, but discussions around this subject often confuse issues of data access and privacy, with the actual technical challenges of data integration and interoperability. We review some of the opportunities for connecting data, generating information, and supporting decision-making across the increasingly complex “variety” dimension of data in population health, to enable data-driven surveillance to go beyond simple signal detection and support an expanded set of surveillance goals. |
format | Online Article Text |
id | pubmed-7994248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79942482021-03-27 Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making Dórea, Fernanda C. Revie, Crawford W. Front Vet Sci Veterinary Science The biggest change brought about by the “era of big data” to health in general, and epidemiology in particular, relates arguably not to the volume of data encountered, but to its variety. An increasing number of new data sources, including many not originally collected for health purposes, are now being used for epidemiological inference and contextualization. Combining evidence from multiple data sources presents significant challenges, but discussions around this subject often confuse issues of data access and privacy, with the actual technical challenges of data integration and interoperability. We review some of the opportunities for connecting data, generating information, and supporting decision-making across the increasingly complex “variety” dimension of data in population health, to enable data-driven surveillance to go beyond simple signal detection and support an expanded set of surveillance goals. Frontiers Media S.A. 2021-03-12 /pmc/articles/PMC7994248/ /pubmed/33778039 http://dx.doi.org/10.3389/fvets.2021.633977 Text en Copyright © 2021 Dórea and Revie. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Veterinary Science Dórea, Fernanda C. Revie, Crawford W. Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making |
title | Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making |
title_full | Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making |
title_fullStr | Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making |
title_full_unstemmed | Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making |
title_short | Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support Decision Making |
title_sort | data-driven surveillance: effective collection, integration, and interpretation of data to support decision making |
topic | Veterinary Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994248/ https://www.ncbi.nlm.nih.gov/pubmed/33778039 http://dx.doi.org/10.3389/fvets.2021.633977 |
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