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

Bibliographic Data

ID12473120
AuthorsMark Brennan (0000-0002-1781-7776, corresponding author), Justin Steil (0000-0003-1761-655X, Massachusetts Institute of Technology), Sophia Dyer, Laura Segal, James Salvia, Erin Serino
Year2022
Volume100
Issue1
Pages11-15
Publication date2022-11-02
Open AccessYes
TypeARTICLE
VenueJournal of Urban Health (JOURNAL)
Journal identifiersISSN: 1099-3460 • E-ISSN: 1468-2869
PublisherSpringer Science+Business Media (PUBLISHER • DE)
DOI10.1007/s11524-022-00672-0
PMID36322339
OpenAlexW4308160371
LanguageEN
Citations received1
References cited12

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

2019-20 coronavirus outbreak · Business · Coronavirus disease 2019 (COVID-19 · Disease · Infectious disease (medical specialty · Medical emergency · Outbreak · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · COVID-19 and Mental Health · COVID-19 Pandemic Impacts · Medicine · Optimism, Hope, and Well-being · Emergency Medical Services · Virology

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Citations per year0.5
Citation span2024 - 2024 (1)
Highly citedNo

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