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A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic
OBJECTIVE: To create an online visualization to support fatality management in North Carolina. MATERIALS AND METHODS: A web application aggregates online datasets for coronavirus disease 2019 (COVID-19) infection rates and morgue utilization. The data are visualized through an interactive, online da...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665527/ https://www.ncbi.nlm.nih.gov/pubmed/33040152 http://dx.doi.org/10.1093/jamia/ocaa146 |
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author | Kaul, Smiti Coleman, Cameron Gotz, David |
author_facet | Kaul, Smiti Coleman, Cameron Gotz, David |
author_sort | Kaul, Smiti |
collection | PubMed |
description | OBJECTIVE: To create an online visualization to support fatality management in North Carolina. MATERIALS AND METHODS: A web application aggregates online datasets for coronavirus disease 2019 (COVID-19) infection rates and morgue utilization. The data are visualized through an interactive, online dashboard. RESULTS: The web application was shared with state and local public health officials across North Carolina. Users could adjust interactive maps and other statistical charts to view live reports of metrics at multiple aggregation levels (eg, county or region). The application also provides access to detailed tabular data for individual facilities. DISCUSSION: Stakeholders found this tool helpful for providing situational awareness of capacity, hotspots, and utilization fluctuations. Timely reporting of facility and county data were key, and future work can help streamline the data collection process. There is potential to generalize the technology to other use cases. CONCLUSIONS: This dashboard facilitates fatality management by visualizing county and regional aggregate statistics in North Carolina. |
format | Online Article Text |
id | pubmed-7665527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76655272020-11-16 A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic Kaul, Smiti Coleman, Cameron Gotz, David J Am Med Inform Assoc Brief Communications OBJECTIVE: To create an online visualization to support fatality management in North Carolina. MATERIALS AND METHODS: A web application aggregates online datasets for coronavirus disease 2019 (COVID-19) infection rates and morgue utilization. The data are visualized through an interactive, online dashboard. RESULTS: The web application was shared with state and local public health officials across North Carolina. Users could adjust interactive maps and other statistical charts to view live reports of metrics at multiple aggregation levels (eg, county or region). The application also provides access to detailed tabular data for individual facilities. DISCUSSION: Stakeholders found this tool helpful for providing situational awareness of capacity, hotspots, and utilization fluctuations. Timely reporting of facility and county data were key, and future work can help streamline the data collection process. There is potential to generalize the technology to other use cases. CONCLUSIONS: This dashboard facilitates fatality management by visualizing county and regional aggregate statistics in North Carolina. Oxford University Press 2020-10-11 /pmc/articles/PMC7665527/ /pubmed/33040152 http://dx.doi.org/10.1093/jamia/ocaa146 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) |
spellingShingle | Brief Communications Kaul, Smiti Coleman, Cameron Gotz, David A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic |
title | A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic |
title_full | A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic |
title_fullStr | A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic |
title_full_unstemmed | A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic |
title_short | A rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (COVID-19) pandemic |
title_sort | rapidly deployed, interactive, online visualization system to support fatality management during the coronavirus disease 2019 (covid-19) pandemic |
topic | Brief Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665527/ https://www.ncbi.nlm.nih.gov/pubmed/33040152 http://dx.doi.org/10.1093/jamia/ocaa146 |
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