Disparities in COVID Disease Severity and Outcomes in New York City
纽约市新冠疾病严重程度和结果的差异
基本信息
- 批准号:10159057
- 负责人:
- 金额:$ 74.92万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-09-05 至 2022-06-30
- 项目状态:已结题
- 来源:
- 关键词:2019-nCoVAcuteAdmission activityAffectAfrican AmericanAreaArtificial IntelligenceAsiansBedsBiologicalBiological FactorsBiologyBloodCOVID-19CaringCaucasiansCenter for Translational Science ActivitiesChicagoCitiesClinicalClinical MedicineCommunitiesCoronavirus InfectionsCountryCoupledCytometryDatabase Management SystemsDatabasesDiabetes MellitusDiseaseDisease OutbreaksDisease OutcomeEconomicsEducationEnvironmental Risk FactorEpidemicEquilibriumEthicsEthnic OriginEthnic groupExposure toFatality rateFrequenciesGeneticGenetic PolymorphismGenotypeGoalsHealthHealth Services AccessibilityHealthcare SystemsHispanicsHospitalsHousingHypertensionImmuneImmune systemImmunologic FactorsImmunologicsIndividualInfectionInflammationInstitutesIntensive Care UnitsInterventionKidney DiseasesLifeLow incomeLung diseasesMachine LearningMedicalMinorityModelingNatural ImmunityNeighborhoodsNew YorkNew York CityObesityOccupationsOutcomePathologyPatientsPhenotypePopulationPredispositionPresbyterian ChurchPrevalencePreventiveProcessProteomicsPublic HealthRaceReportingResearchResourcesRiskRisk FactorsSamplingSeveritiesSeverity of illnessShapesSocietiesSocioeconomic StatusSyndromeTestingThrombosisUnemploymentVariantVirusVirus DiseasesVulnerable Populationsbasecoronavirus diseaseexperiencefallsgenetic signaturehealth care availabilityhealth equityhigh riskhospitalization ratesinsightmortalitymultidisciplinarynutritionpandemic diseaseparent grantpatient stratificationpolygenic risk scoreprecision medicinepredictive modelingpreventracial and ethnicracial and ethnic disparitiesrespiratoryresponsesocialsocial determinantssocial health determinantssocioeconomicssupervised learningunderserved minority
项目摘要
PROJECT SUMMARY
This application is being submitted in response to Notice Number: NOT-TR-20-011 to highlight the urgent
need for research on the 2019 novel Coronavirus (COVID-19), and is an administration supplement to our parent
grant. The outbreak of COVID-19 and the life-threatening acute respiratory syndrome caused by the virus
(SARS-CoV-2/2019-nCoV) have led to a severe, global public health crisis, and economic disruption. Sadly, in
this epidemic, NYC is the epicenter of epicenters. Some neighborhoods in NYC have been more exposed than
others to COVID, and there seems to be clear correlation with the prevalence of COVID and its severity between
certain ethnic and racial populations. Importantly, it is recognized that biology factors alone do not exclusively
account for disease outcomes in those stricken with Covid-19. Social determinants have a significant impact on
various health-related outcomes such as hypertension, diabetes, obesity, kidney and lung disease (1,2).
Evidence also indicates that a myriad of social risk factors- such as low income, poor education, minority race
or ethnic background- coupled with inadequate community housing and resources, together with limited health
care access and decreased health utilization, results in poor health outcomes and increased susceptibility and
severity to Covid-19 (3-14). For this study, we assembled a multidisciplinary team from Weill Cornell Medicine's
Clinical Translational Science Center (CTSC); Englander Institute for Precision Medicine (EIPM), the Weill
Cornell's Center for Health Equity. The initial study will be conducted with the New York Presbyterian (NYP)
Hospital health care system database involving “hotspot” areas in NYC with COVID. The NYP network is the
largest healthcare system by bed counts in New York City and is on the frontlines of the struggle against the
COVID pandemic. By discerning the interaction/relationship of the biology with the Social Determinants of Health
(SDoH), we will gain further insight into why certain racial and ethnic groups are more susceptible to Covid -19,
and why they develop the more severe forms of the virus. Furthermore, if we are able to identify the especially
vulnerable, and provide adequate isolation and early medical intervention in the disease process- then we can
save lives. Protecting and providing preventive and early care for the vulnerable would also allow the remainder
of society to interact in daily activities and prevent the economy from a major collapse. The less vulnerable who
are out in society would on average develop mild coronavirus infections. Consequently, once the larger and
mildly affected less vulnerable population recover and gain natural immunity, the risk to the most vulnerable
would fall dramatically and the country would stabilize.
项目概要
提交此申请是为了响应通知编号:NOT-TR-20-011,以强调紧急情况
需要对 2019 年新型冠状病毒(COVID-19)进行研究,并且是对我们家长的行政补充
COVID-19 综合征的爆发以及由该病毒引起的危及生命的急性呼吸道疾病。
可悲的是,(SARS-CoV-2/2019-nCoV)导致了严重的全球公共卫生危机和经济混乱。
这次疫情,纽约市是震中的震中,纽约市的一些社区的暴露程度比震中还要严重。
其他人与新冠病毒之间的关系似乎与新冠病毒的流行率及其严重程度存在明显的相关性
重要的是,人们认识到,生物学因素本身并不完全如此。
考虑到 Covid-19 患者的疾病结果,社会决定因素对患者有重大影响。
各种健康相关结果,如高血压、糖尿病、肥胖、肾病和肺病 (1,2)。
有证据还表明,许多社会风险因素——例如低收入、教育程度低、少数族裔
或种族背景——加上社区住房和资源不足,以及健康状况有限
医疗服务的可及性和医疗利用率的降低,导致健康结果不佳并增加易感性和
在这项研究中,我们组建了来自威尔康奈尔医学院的多学科团队。
临床转化科学中心(CTSC);英格兰精准医学研究所(EIPM);
康奈尔大学健康公平中心将与纽约长老会 (NYP) 一起进行初步研究。
涉及纽约市新冠疫情“热点”地区的医院医疗保健系统数据库 NYP 网络。
按床位计算,纽约市拥有最大的医疗保健系统,并且处于抗击疾病的最前线
新冠疫情大流行。通过辨别生物学与健康社会决定因素的相互作用/关系。
(SDoH),我们将进一步深入了解为什么某些种族和族裔群体更容易感染 Covid -19,
以及为什么他们会发展出更严重的病毒形式。 此外,如果我们能够识别出特别严重的病毒。
脆弱,并在疾病过程中提供充分的隔离和早期医疗干预——那么我们就可以
保护弱势群体并为其提供预防性和早期护理也能让其他人受益。
社会在日常活动中互动并防止经济严重崩溃。
一旦出现规模更大、规模更大的病例,在社会上平均会出现轻微的冠状病毒感染。
受到轻微影响的弱势群体恢复并获得自然免疫力,这是最弱势群体面临的风险
将会急剧下降,国家将会稳定。
项目成果
期刊论文数量(0)
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JULIANNE L IMPERATO-MCGINLEY其他文献
JULIANNE L IMPERATO-MCGINLEY的其他文献
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{{ truncateString('JULIANNE L IMPERATO-MCGINLEY', 18)}}的其他基金
Clinical and Translational Science Center (UL1)
临床和转化科学中心 (UL1)
- 批准号:
8140982 - 财政年份:2010
- 资助金额:
$ 74.92万 - 项目类别:
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