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Notes From the Field: Use of Emergency Medical Service Data to Augment COVID-19 Public Health Surveillance in Montgomery County, Maryland, From March to June 2020

Epidemiologic and syndromic surveillance metrics traditionally used by public health departments can be enhanced to better predict hospitalization for coronavirus disease (COVID-19). In Montgomery County, Maryland, measurements of oxygen saturation (SpO(2)) by pulse oximetry obtained by the emergenc...

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Autores principales: Sayers, David R, Hulse, Scott T, Webber, Bryant J, Burns, Timothy A, Denicoff, Anne L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398595/
https://www.ncbi.nlm.nih.gov/pubmed/32678799
http://dx.doi.org/10.2196/22331
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author Sayers, David R
Hulse, Scott T
Webber, Bryant J
Burns, Timothy A
Denicoff, Anne L
author_facet Sayers, David R
Hulse, Scott T
Webber, Bryant J
Burns, Timothy A
Denicoff, Anne L
author_sort Sayers, David R
collection PubMed
description Epidemiologic and syndromic surveillance metrics traditionally used by public health departments can be enhanced to better predict hospitalization for coronavirus disease (COVID-19). In Montgomery County, Maryland, measurements of oxygen saturation (SpO(2)) by pulse oximetry obtained by the emergency medical service (EMS) were added to these traditional metrics to enhance the public health picture for decision makers. During a 78-day period, the rolling 7-day average of the percentage of EMS patients with SpO(2) <94% had a stronger correlation with next-day hospital bed occupancy (Spearman ρ=0.58, 95% CI 0.40-0.71) than either the rolling 7-day average of the percentage of positive tests (ρ=0.55, 95% CI: 0.37-0.69) or the rolling 7-day average of the percentage of emergency department visits for COVID-19–like illness (ρ=0.49, 95% CI: 0.30-0.64). Health departments should consider adding EMS data to augment COVID-19 surveillance and thus improve resource allocation.
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spelling pubmed-73985952020-08-17 Notes From the Field: Use of Emergency Medical Service Data to Augment COVID-19 Public Health Surveillance in Montgomery County, Maryland, From March to June 2020 Sayers, David R Hulse, Scott T Webber, Bryant J Burns, Timothy A Denicoff, Anne L JMIR Public Health Surveill Viewpoint Epidemiologic and syndromic surveillance metrics traditionally used by public health departments can be enhanced to better predict hospitalization for coronavirus disease (COVID-19). In Montgomery County, Maryland, measurements of oxygen saturation (SpO(2)) by pulse oximetry obtained by the emergency medical service (EMS) were added to these traditional metrics to enhance the public health picture for decision makers. During a 78-day period, the rolling 7-day average of the percentage of EMS patients with SpO(2) <94% had a stronger correlation with next-day hospital bed occupancy (Spearman ρ=0.58, 95% CI 0.40-0.71) than either the rolling 7-day average of the percentage of positive tests (ρ=0.55, 95% CI: 0.37-0.69) or the rolling 7-day average of the percentage of emergency department visits for COVID-19–like illness (ρ=0.49, 95% CI: 0.30-0.64). Health departments should consider adding EMS data to augment COVID-19 surveillance and thus improve resource allocation. JMIR Publications 2020-07-31 /pmc/articles/PMC7398595/ /pubmed/32678799 http://dx.doi.org/10.2196/22331 Text en ©David R Sayers, Scott T Hulse, Bryant J Webber, Timothy A Burns, Anne L Denicoff. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 31.07.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included.
spellingShingle Viewpoint
Sayers, David R
Hulse, Scott T
Webber, Bryant J
Burns, Timothy A
Denicoff, Anne L
Notes From the Field: Use of Emergency Medical Service Data to Augment COVID-19 Public Health Surveillance in Montgomery County, Maryland, From March to June 2020
title Notes From the Field: Use of Emergency Medical Service Data to Augment COVID-19 Public Health Surveillance in Montgomery County, Maryland, From March to June 2020
title_full Notes From the Field: Use of Emergency Medical Service Data to Augment COVID-19 Public Health Surveillance in Montgomery County, Maryland, From March to June 2020
title_fullStr Notes From the Field: Use of Emergency Medical Service Data to Augment COVID-19 Public Health Surveillance in Montgomery County, Maryland, From March to June 2020
title_full_unstemmed Notes From the Field: Use of Emergency Medical Service Data to Augment COVID-19 Public Health Surveillance in Montgomery County, Maryland, From March to June 2020
title_short Notes From the Field: Use of Emergency Medical Service Data to Augment COVID-19 Public Health Surveillance in Montgomery County, Maryland, From March to June 2020
title_sort notes from the field: use of emergency medical service data to augment covid-19 public health surveillance in montgomery county, maryland, from march to june 2020
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398595/
https://www.ncbi.nlm.nih.gov/pubmed/32678799
http://dx.doi.org/10.2196/22331
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