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A real-time COVID-19 surveillance dashboard to support epidemic response in Connecticut: lessons from an academic-health department partnership

In response to the coronavirus disease-19 (COVID-19) pandemic, numerous institutions published COVID-19 dashboards for reporting epidemiological statistics at the county, state, or national level. However, statistics for smaller cities were often not reported, requiring these areas to develop their...

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Detalles Bibliográficos
Autores principales: Suri, Abhinav, Askari, Melanie, Calder, Jennifer, Branas, Charles, Rundle, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903472/
https://www.ncbi.nlm.nih.gov/pubmed/35196368
http://dx.doi.org/10.1093/jamia/ocac025
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author Suri, Abhinav
Askari, Melanie
Calder, Jennifer
Branas, Charles
Rundle, Andrew
author_facet Suri, Abhinav
Askari, Melanie
Calder, Jennifer
Branas, Charles
Rundle, Andrew
author_sort Suri, Abhinav
collection PubMed
description In response to the coronavirus disease-19 (COVID-19) pandemic, numerous institutions published COVID-19 dashboards for reporting epidemiological statistics at the county, state, or national level. However, statistics for smaller cities were often not reported, requiring these areas to develop their own data processing pipelines. For under-resourced departments of health, the development of these pipelines was challenging, leading them to rely on nonspecific and often delayed infection statistics during the pandemic. To avoid this issue, the Stamford, Connecticut Department of Health (SDH) contracted with the Columbia Mailman School of Public Health to develop an online dashboard that displays real-time case, death, test, vaccination, hospitalization, and forecast data for their city, allowing SDH to monitor trends for specific demographic and geographic groups. Insights from the dashboard allowed SDH to initiate timely and targeted testing/vaccination campaigns. The dashboard is widely used and highlights the benefit of public-academic partnerships in public health, especially during the COVID-19 pandemic.
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spelling pubmed-89034722022-03-09 A real-time COVID-19 surveillance dashboard to support epidemic response in Connecticut: lessons from an academic-health department partnership Suri, Abhinav Askari, Melanie Calder, Jennifer Branas, Charles Rundle, Andrew J Am Med Inform Assoc Case Reports In response to the coronavirus disease-19 (COVID-19) pandemic, numerous institutions published COVID-19 dashboards for reporting epidemiological statistics at the county, state, or national level. However, statistics for smaller cities were often not reported, requiring these areas to develop their own data processing pipelines. For under-resourced departments of health, the development of these pipelines was challenging, leading them to rely on nonspecific and often delayed infection statistics during the pandemic. To avoid this issue, the Stamford, Connecticut Department of Health (SDH) contracted with the Columbia Mailman School of Public Health to develop an online dashboard that displays real-time case, death, test, vaccination, hospitalization, and forecast data for their city, allowing SDH to monitor trends for specific demographic and geographic groups. Insights from the dashboard allowed SDH to initiate timely and targeted testing/vaccination campaigns. The dashboard is widely used and highlights the benefit of public-academic partnerships in public health, especially during the COVID-19 pandemic. Oxford University Press 2022-02-23 /pmc/articles/PMC8903472/ /pubmed/35196368 http://dx.doi.org/10.1093/jamia/ocac025 Text en © The Author(s) 2022. 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_modelThis 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 Case Reports
Suri, Abhinav
Askari, Melanie
Calder, Jennifer
Branas, Charles
Rundle, Andrew
A real-time COVID-19 surveillance dashboard to support epidemic response in Connecticut: lessons from an academic-health department partnership
title A real-time COVID-19 surveillance dashboard to support epidemic response in Connecticut: lessons from an academic-health department partnership
title_full A real-time COVID-19 surveillance dashboard to support epidemic response in Connecticut: lessons from an academic-health department partnership
title_fullStr A real-time COVID-19 surveillance dashboard to support epidemic response in Connecticut: lessons from an academic-health department partnership
title_full_unstemmed A real-time COVID-19 surveillance dashboard to support epidemic response in Connecticut: lessons from an academic-health department partnership
title_short A real-time COVID-19 surveillance dashboard to support epidemic response in Connecticut: lessons from an academic-health department partnership
title_sort real-time covid-19 surveillance dashboard to support epidemic response in connecticut: lessons from an academic-health department partnership
topic Case Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903472/
https://www.ncbi.nlm.nih.gov/pubmed/35196368
http://dx.doi.org/10.1093/jamia/ocac025
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