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Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters

In the first two years of the COVID-19 pandemic, members of Boston Emergency Medical Services, the City of Boston’s municipal ambulance service, had 7,689 encounters with confirmed-positive Boston residents. As COVID-19 virus strains continue to infect residents in Boston and across the country, und...

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Autores principales: Brennan, Mark, Steil, Justin, Dyer, Sophia, Segal, Laura, Salvia, James, Serino, Erin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628336/
https://www.ncbi.nlm.nih.gov/pubmed/36322339
http://dx.doi.org/10.1007/s11524-022-00672-0
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author Brennan, Mark
Steil, Justin
Dyer, Sophia
Segal, Laura
Salvia, James
Serino, Erin
author_facet Brennan, Mark
Steil, Justin
Dyer, Sophia
Segal, Laura
Salvia, James
Serino, Erin
author_sort Brennan, Mark
collection PubMed
description In the first two years of the COVID-19 pandemic, members of Boston Emergency Medical Services, the City of Boston’s municipal ambulance service, had 7,689 encounters with confirmed-positive Boston residents. As COVID-19 virus strains continue to infect residents in Boston and across the country, understanding the correlation between population positivity, EMS encounters, and hospitalizations can inform healthcare response. This study examines urban virus-surveillance indicators that can serve as an early warning of the volume of Emergency Medical Services (EMS) encounters with COVID-19 positive patients and subsequently how EMS encounters with confirmed COVID-19 patients can serve as an early indicator of future hospital-demand surges. With daily data from Boston EMS and three other public agencies, we evaluate the relationship between five indicators and confirmed Boston EMS COVID-19 encounters by estimating separate Auto Regressive Integrated Moving Average models and cross-correlating their residuals. This study finds a significant and positive correlation between new COVID-19 cases citywide and EMS encounters 6 days later (p < 0.01), as well as between confirmed EMS encounters with COVID-19 patients and the number of intensive care unit beds occupied 7- and 18 -days later (p < 0.01). This study provides city health leadership needed clarity on the specific ordering and associated time lag in which infections in the population increase, EMS members encounter positive patients, and hospitals deliver care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11524-022-00672-0.
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spelling pubmed-96283362022-11-02 Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters Brennan, Mark Steil, Justin Dyer, Sophia Segal, Laura Salvia, James Serino, Erin J Urban Health Brief Report In the first two years of the COVID-19 pandemic, members of Boston Emergency Medical Services, the City of Boston’s municipal ambulance service, had 7,689 encounters with confirmed-positive Boston residents. As COVID-19 virus strains continue to infect residents in Boston and across the country, understanding the correlation between population positivity, EMS encounters, and hospitalizations can inform healthcare response. This study examines urban virus-surveillance indicators that can serve as an early warning of the volume of Emergency Medical Services (EMS) encounters with COVID-19 positive patients and subsequently how EMS encounters with confirmed COVID-19 patients can serve as an early indicator of future hospital-demand surges. With daily data from Boston EMS and three other public agencies, we evaluate the relationship between five indicators and confirmed Boston EMS COVID-19 encounters by estimating separate Auto Regressive Integrated Moving Average models and cross-correlating their residuals. This study finds a significant and positive correlation between new COVID-19 cases citywide and EMS encounters 6 days later (p < 0.01), as well as between confirmed EMS encounters with COVID-19 patients and the number of intensive care unit beds occupied 7- and 18 -days later (p < 0.01). This study provides city health leadership needed clarity on the specific ordering and associated time lag in which infections in the population increase, EMS members encounter positive patients, and hospitals deliver care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11524-022-00672-0. Springer US 2022-11-02 2023-02 /pmc/articles/PMC9628336/ /pubmed/36322339 http://dx.doi.org/10.1007/s11524-022-00672-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Brief Report
Brennan, Mark
Steil, Justin
Dyer, Sophia
Segal, Laura
Salvia, James
Serino, Erin
Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters
title Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters
title_full Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters
title_fullStr Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters
title_full_unstemmed Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters
title_short Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters
title_sort policy-relevant indicators of urban emergency medical services covid-19-patient encounters
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9628336/
https://www.ncbi.nlm.nih.gov/pubmed/36322339
http://dx.doi.org/10.1007/s11524-022-00672-0
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