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dc.contributor.authorBrennan, Mark
dc.contributor.authorSteil, Justin
dc.contributor.authorDyer, Sophia
dc.contributor.authorSegal, Laura
dc.contributor.authorSalvia, James
dc.contributor.authorSerino, Erin
dc.date.accessioned2022-11-07T13:16:50Z
dc.date.available2022-11-07T13:16:50Z
dc.date.issued2022-11-02
dc.identifier.urihttps://hdl.handle.net/1721.1/146174
dc.description.abstractAbstract 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.en_US
dc.publisherSpringer USen_US
dc.relation.isversionofhttps://doi.org/10.1007/s11524-022-00672-0en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceSpringer USen_US
dc.titlePolicy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encountersen_US
dc.typeArticleen_US
dc.identifier.citationBrennan, Mark, Steil, Justin, Dyer, Sophia, Segal, Laura, Salvia, James et al. 2022. "Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters."
dc.contributor.departmentMassachusetts Institute of Technology. Center for Computational Science and Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planning
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-11-06T04:14:30Z
dc.language.rfc3066en
dc.rights.holderThe Author(s)
dspace.embargo.termsN
dspace.date.submission2022-11-06T04:14:29Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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