Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783565986267398144 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7398595 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT sayersdavidr notesfromthefielduseofemergencymedicalservicedatatoaugmentcovid19publichealthsurveillanceinmontgomerycountymarylandfrommarchtojune2020 AT hulsescottt notesfromthefielduseofemergencymedicalservicedatatoaugmentcovid19publichealthsurveillanceinmontgomerycountymarylandfrommarchtojune2020 AT webberbryantj notesfromthefielduseofemergencymedicalservicedatatoaugmentcovid19publichealthsurveillanceinmontgomerycountymarylandfrommarchtojune2020 AT burnstimothya notesfromthefielduseofemergencymedicalservicedatatoaugmentcovid19publichealthsurveillanceinmontgomerycountymarylandfrommarchtojune2020 AT denicoffannel notesfromthefielduseofemergencymedicalservicedatatoaugmentcovid19publichealthsurveillanceinmontgomerycountymarylandfrommarchtojune2020 |