Cargando…

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,...

Descripción completa

Detalles Bibliográficos
Autores principales: Campbell, Ellsworth M., Boyles, Anthony, Shankar, Anupama, Kim, Jay, Knyazev, Sergey, Cintron, Roxana, Switzer, William M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
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
_version_ 1784578834891276288
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
work_keys_str_mv AT campbellellsworthm microbetraceretoolingmolecularepidemiologyforrapidpublichealthresponse
AT boylesanthony microbetraceretoolingmolecularepidemiologyforrapidpublichealthresponse
AT shankaranupama microbetraceretoolingmolecularepidemiologyforrapidpublichealthresponse
AT kimjay microbetraceretoolingmolecularepidemiologyforrapidpublichealthresponse
AT knyazevsergey microbetraceretoolingmolecularepidemiologyforrapidpublichealthresponse
AT cintronroxana microbetraceretoolingmolecularepidemiologyforrapidpublichealthresponse
AT switzerwilliamm microbetraceretoolingmolecularepidemiologyforrapidpublichealthresponse