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COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking

BACKGROUND: The COVID-19 pandemic has caused major health and socio-economic disruptions worldwide. Accurate investigation of emerging data is crucial to inform policy makers as they construct viral mitigation strategies. Complications such as variable testing rates and time lags in counting cases,...

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Autores principales: Zohner, Ye Emma, Morris, Jeffrey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816158/
https://www.ncbi.nlm.nih.gov/pubmed/33472672
http://dx.doi.org/10.1186/s13040-021-00233-2
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author Zohner, Ye Emma
Morris, Jeffrey S.
author_facet Zohner, Ye Emma
Morris, Jeffrey S.
author_sort Zohner, Ye Emma
collection PubMed
description BACKGROUND: The COVID-19 pandemic has caused major health and socio-economic disruptions worldwide. Accurate investigation of emerging data is crucial to inform policy makers as they construct viral mitigation strategies. Complications such as variable testing rates and time lags in counting cases, hospitalizations and deaths make it challenging to accurately track and identify true infectious surges from available data, and requires a multi-modal approach that simultaneously considers testing, incidence, hospitalizations, and deaths. Although many websites and applications report a subset of these data, none of them provide graphical displays capable of comparing different states or countries on all these measures as well as various useful quantities derived from them. Here we introduce a freely available dynamic representation tool, COVID-TRACK, that allows the user to simultaneously assess time trends in these measures and compare various states or countries, equipping them with a tool to investigate the potential effects of the different mitigation strategies and timelines used by various jurisdictions. FINDINGS: COVID-TRACK is a Python based web-application that provides a platform for tracking testing, incidence, hospitalizations, and deaths related to COVID-19 along with various derived quantities. Our application makes the comparison across states in the USA and countries in the world easy to explore, with useful transformation options including per capita, log scale, and/or moving averages. We illustrate its use by assessing various viral trends in the USA and Europe. CONCLUSION: The COVID-TRACK web-application is a user-friendly analytical tool to compare data and trends related to the COVID-19 pandemic across areas in the United States and worldwide. Our tracking tool provides a unique platform where trends can be monitored across geographical areas in the coming months to watch how the pandemic waxes and wanes over time at different locations around the USA and the globe.
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spelling pubmed-78161582021-01-21 COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking Zohner, Ye Emma Morris, Jeffrey S. BioData Min Software Article BACKGROUND: The COVID-19 pandemic has caused major health and socio-economic disruptions worldwide. Accurate investigation of emerging data is crucial to inform policy makers as they construct viral mitigation strategies. Complications such as variable testing rates and time lags in counting cases, hospitalizations and deaths make it challenging to accurately track and identify true infectious surges from available data, and requires a multi-modal approach that simultaneously considers testing, incidence, hospitalizations, and deaths. Although many websites and applications report a subset of these data, none of them provide graphical displays capable of comparing different states or countries on all these measures as well as various useful quantities derived from them. Here we introduce a freely available dynamic representation tool, COVID-TRACK, that allows the user to simultaneously assess time trends in these measures and compare various states or countries, equipping them with a tool to investigate the potential effects of the different mitigation strategies and timelines used by various jurisdictions. FINDINGS: COVID-TRACK is a Python based web-application that provides a platform for tracking testing, incidence, hospitalizations, and deaths related to COVID-19 along with various derived quantities. Our application makes the comparison across states in the USA and countries in the world easy to explore, with useful transformation options including per capita, log scale, and/or moving averages. We illustrate its use by assessing various viral trends in the USA and Europe. CONCLUSION: The COVID-TRACK web-application is a user-friendly analytical tool to compare data and trends related to the COVID-19 pandemic across areas in the United States and worldwide. Our tracking tool provides a unique platform where trends can be monitored across geographical areas in the coming months to watch how the pandemic waxes and wanes over time at different locations around the USA and the globe. BioMed Central 2021-01-20 /pmc/articles/PMC7816158/ /pubmed/33472672 http://dx.doi.org/10.1186/s13040-021-00233-2 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software Article
Zohner, Ye Emma
Morris, Jeffrey S.
COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking
title COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking
title_full COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking
title_fullStr COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking
title_full_unstemmed COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking
title_short COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking
title_sort covid-track: world and usa sars-cov-2 testing and covid-19 tracking
topic Software Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7816158/
https://www.ncbi.nlm.nih.gov/pubmed/33472672
http://dx.doi.org/10.1186/s13040-021-00233-2
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