Multi-Modal Wireless COVID Monitoring & Infection Alerts for Concentrated Populations
多模式无线新冠肺炎监测
基本信息
- 批准号:10594946
- 负责人:
- 金额:$ 110.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-12-21 至 2023-11-30
- 项目状态:已结题
- 来源:
- 关键词:AcuteAlgorithmsArchitectureCOVID detectionCOVID diagnosticCOVID testCOVID testingCOVID-19 pandemicCaringCellular PhoneCharacteristicsClientClinicClinicalClinical DataCommunicable DiseasesComplexCrowdingDataData AnalysesData SetDetectionDevelopmentDevicesDiagnostic SensitivityDiagnostic testsDialysis procedureDisabled PersonsDiseaseDisease OutbreaksDisease SurveillanceEarly DiagnosisEffectivenessEngineeringEnrollmentEpidemiologyEventFiltrationFrequenciesGenerationsHealthHeart RateIncubatedIndividualInequityInfectionInformed ConsentInfrastructureInfusion proceduresInstitutional Review BoardsLeadMachine LearningMedicalMethodsMinorityModelingMonitorMorbidity - disease rateNatureNursing HomesOutcomePathologicPatient RecruitmentsPatient Self-ReportPatientsPerformancePersonsPoliciesPopulationPrisonsPrivacyProcessRecommendationRecording of previous eventsRehabilitation therapyReportingResidential FacilitiesResourcesRiskSchoolsSecureSecurityServicesSevere Acute Respiratory SyndromeSignal TransductionSiteSocietiesSpecificityStructureSurveillance MethodsSymptomsSystemSystems DevelopmentTestingTimeViralWorkaerosolizedbasechemotherapycomorbiditycoronavirus diseasedashboarddata acquisitiondemographicsdesigndetection platformdigital healthdrug rehabilitationfitbitfitnesshigher educationimprovedinteroperabilitymachine learning algorithmmeetingsmortalitymultimodalityoperationpandemic responserehabilitation serviceremote health caresmartphone applicationsocioeconomicsstemsurveillance datasurveillance studytransmission processtrendusabilitywearable devicewearable sensor technologywireless
项目摘要
Multi-Modal Wireless COVID Monitoring & Infection Alerts for Concentrated Populations
Abstract: The high aerosolized transmissibility of COVID, long asymptomatic incubation period,
and highly variable presentation attributes of the COVID pandemic have proven challenging in
many settings where patchwork pandemic responses have disproportionately negatively
impacted vulnerable socioeconomic, minority, and disabled sub-populations. Unfortunately, these
dire trends are only made more acute in settings that feature populations with limited mobility and
little to no ability to self-isolate (dense concentrated populations [DCPs]), such as residential
nursing homes, schools, drug rehabilitation services, prison and psychiatric facility populations,
and high-frequency essential medical services, such as chemotherapy infusion clinics or dialysis
units. In these DCP settings, limited diagnostic testing, prolonged indoor contact, limitations in
cleaning and filtration capacities, support staff shortages, pre-existing comorbidities, and lack of
effective infectious disease surveillance systems all collude to drive an increased COVID burden
in DCPs. From this, it is clear that alternative detection strategies for DCPs are urgently needed
to improve local capacity to monitor COVID outbreaks, mitigate their spread, and thus reduce
inequitable disease and mortality burdens in these under-resourced and often overcrowded
settings. In previous work, we developed a first generation detection system using heart rate data
from commercially-available Fitbit Ionic wearable devices to detect the onset of COVID and other
infectious diseases up to 10 days before users self-reported symptom onset (overall sensitivity
67% prior to symptom onset). Here, we propose to further develop this system for the improved
detection of COVID and other infectious diseases in DCPs using existing wearable fitness devices
in a wireless and interoperable digital health framework that centralizes all wearable-derived data
on PHD while tailoring its presentation and health event alert system to the IT capabilities and
needs of each DCP setting. In this, not only will we adapt our existing infection detection
algorithms for each DCP’s particular baseline characteristics, IT infrastructure, and needs, but
also use incoming data to further optimize the performance of those algorithms for continuous
improvement in the sensitivity, specificity, and alert lead time for COVID onset. This will quickly
enable under-resourced DCP support staff to access and use world-class COVID surveillance
data in identifying individual infection events, implementing isolation, cleaning, and testing
policies, and minimizing transmission, thus reducing the burden of COVID in DCP settings and
reducing DCP morbidity and mortality overall.
针对集中人群的多模态无线COVID监测和感染警报
项目成果
期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Performance effectiveness of vital parameter combinations for early warning of sepsis-an exhaustive study using machine learning.
- DOI:10.1093/jamiaopen/ooac080
- 发表时间:2022-12
- 期刊:
- 影响因子:2.1
- 作者:Rangan, Ekanath Srihari;Pathinarupothi, Rahul Krishnan;Anand, Kanwaljeet J. S.;Snyder, Michael P.
- 通讯作者:Snyder, Michael P.
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MICHAEL P. SNYDER其他文献
MICHAEL P. SNYDER的其他文献
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{{ truncateString('MICHAEL P. SNYDER', 18)}}的其他基金
Precancer Atlas of Familial Adenomatous Polyposis
家族性腺瘤性息肉病癌前图谱
- 批准号:
10900834 - 财政年份:2023
- 资助金额:
$ 110.58万 - 项目类别:
PRODUCTION CENTER FOR MAPPING REGULATORY REGIONS OF THE HUMAN GENOME
人类基因组监管区域图谱制作中心
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10241080 - 财政年份:2021
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The Chromium Connect, an integrated and robotic system to automate library preparation for single-cell RNA-Seq
Chromium Connect,一个集成的机器人系统,用于自动进行单细胞 RNA 测序的文库制备
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10171302 - 财政年份:2021
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$ 110.58万 - 项目类别:
Identifying Multidimensional Omics Profiles Associated with Cardiovascular and Pulmonary Responses to Chronic and Acute Air Pollution Exposure (Project 2) for AIRHEALTH Study
确定与慢性和急性空气污染暴露的心血管和肺部反应相关的多维组学概况(项目 2),用于空气健康研究
- 批准号:
10460331 - 财政年份:2021
- 资助金额:
$ 110.58万 - 项目类别:
Identifying Multidimensional Omics Profiles Associated with Cardiovascular and Pulmonary Responses to Chronic and Acute Air Pollution Exposure (Project 2) for AIRHEALTH Study
确定与慢性和急性空气污染暴露的心血管和肺部反应相关的多维组学概况(项目 2),用于空气健康研究
- 批准号:
10269335 - 财政年份:2021
- 资助金额:
$ 110.58万 - 项目类别:
Multi-Modal Wireless COVID Monitoring & Infection Alerts for Concentrated Populations
多模式无线新冠肺炎监测
- 批准号:
10320756 - 财政年份:2020
- 资助金额:
$ 110.58万 - 项目类别:
Multi-Modal Wireless COVID Monitoring & Infection Alerts for Concentrated Populations
多模式无线新冠肺炎监测
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10274232 - 财政年份:2020
- 资助金额:
$ 110.58万 - 项目类别:
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10408049 - 财政年份:2019
- 资助金额:
$ 110.58万 - 项目类别:
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