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MicrobeTrace: Retooling molecular epidemiology for rapid public health response
Outbreak investigations use data from interviews, healthcare providers, laboratories and surveillance systems. However, integrated use of data from multiple sources requires a patchwork of software that present challenges in usability, interoperability, confidentiality, and cost. Rapid integration,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491948/ https://www.ncbi.nlm.nih.gov/pubmed/34492010 http://dx.doi.org/10.1371/journal.pcbi.1009300 |
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author | Campbell, Ellsworth M. Boyles, Anthony Shankar, Anupama Kim, Jay Knyazev, Sergey Cintron, Roxana Switzer, William M. |
author_facet | Campbell, Ellsworth M. Boyles, Anthony Shankar, Anupama Kim, Jay Knyazev, Sergey Cintron, Roxana Switzer, William M. |
author_sort | Campbell, Ellsworth M. |
collection | PubMed |
description | Outbreak investigations use data from interviews, healthcare providers, laboratories and surveillance systems. However, integrated use of data from multiple sources requires a patchwork of software that present challenges in usability, interoperability, confidentiality, and cost. Rapid integration, visualization and analysis of data from multiple sources can guide effective public health interventions. We developed MicrobeTrace to facilitate rapid public health responses by overcoming barriers to data integration and exploration in molecular epidemiology. MicrobeTrace is a web-based, client-side, JavaScript application (https://microbetrace.cdc.gov) that runs in Chromium-based browsers and remains fully operational without an internet connection. Using publicly available data, we demonstrate the analysis of viral genetic distance networks and introduce a novel approach to minimum spanning trees that simplifies results. We also illustrate the potential utility of MicrobeTrace in support of contact tracing by analyzing and displaying data from an outbreak of SARS-CoV-2 in South Korea in early 2020. MicrobeTrace is developed and actively maintained by the Centers for Disease Control and Prevention. Users can email microbetrace@cdc.gov for support. The source code is available at https://github.com/cdcgov/microbetrace. |
format | Online Article Text |
id | pubmed-8491948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-84919482021-10-06 MicrobeTrace: Retooling molecular epidemiology for rapid public health response Campbell, Ellsworth M. Boyles, Anthony Shankar, Anupama Kim, Jay Knyazev, Sergey Cintron, Roxana Switzer, William M. PLoS Comput Biol Research Article Outbreak investigations use data from interviews, healthcare providers, laboratories and surveillance systems. However, integrated use of data from multiple sources requires a patchwork of software that present challenges in usability, interoperability, confidentiality, and cost. Rapid integration, visualization and analysis of data from multiple sources can guide effective public health interventions. We developed MicrobeTrace to facilitate rapid public health responses by overcoming barriers to data integration and exploration in molecular epidemiology. MicrobeTrace is a web-based, client-side, JavaScript application (https://microbetrace.cdc.gov) that runs in Chromium-based browsers and remains fully operational without an internet connection. Using publicly available data, we demonstrate the analysis of viral genetic distance networks and introduce a novel approach to minimum spanning trees that simplifies results. We also illustrate the potential utility of MicrobeTrace in support of contact tracing by analyzing and displaying data from an outbreak of SARS-CoV-2 in South Korea in early 2020. MicrobeTrace is developed and actively maintained by the Centers for Disease Control and Prevention. Users can email microbetrace@cdc.gov for support. The source code is available at https://github.com/cdcgov/microbetrace. Public Library of Science 2021-09-07 /pmc/articles/PMC8491948/ /pubmed/34492010 http://dx.doi.org/10.1371/journal.pcbi.1009300 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Campbell, Ellsworth M. Boyles, Anthony Shankar, Anupama Kim, Jay Knyazev, Sergey Cintron, Roxana Switzer, William M. MicrobeTrace: Retooling molecular epidemiology for rapid public health response |
title | MicrobeTrace: Retooling molecular epidemiology for rapid public health response |
title_full | MicrobeTrace: Retooling molecular epidemiology for rapid public health response |
title_fullStr | MicrobeTrace: Retooling molecular epidemiology for rapid public health response |
title_full_unstemmed | MicrobeTrace: Retooling molecular epidemiology for rapid public health response |
title_short | MicrobeTrace: Retooling molecular epidemiology for rapid public health response |
title_sort | microbetrace: retooling molecular epidemiology for rapid public health response |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491948/ https://www.ncbi.nlm.nih.gov/pubmed/34492010 http://dx.doi.org/10.1371/journal.pcbi.1009300 |
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