VAccine failure: natural history and determinants of post-vaccination Covid-19
疫苗失败:Covid-19 疫苗接种后的自然史和决定因素
基本信息
- 批准号:10595580
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-01-01 至 2025-12-31
- 项目状态:未结题
- 来源:
- 关键词:2019-nCoVAcuteAgeBody mass indexCOVID-19COVID-19 diagnosisCOVID-19 vaccinationCOVID-19 vaccineCase/Control StudiesCatchment AreaCirrhosisClinicalCollaborationsDataDiabetes MellitusDiseaseDoseEnvironmental Risk FactorEpidemiologyFutureGoalsHealthcareHospitalizationImmune responseImmune systemImmunocompromised HostImmunologicsIncidenceIndividualIntegration Host FactorsIsraelLaboratoriesLongitudinal cohortManufacturerMedicareMessenger RNAMutationNatural HistoryOutcomePatternPersonsPopulationPopulations at RiskPositioning AttributePrevalenceProtocols documentationPublic HealthRNA vaccineReportingRiskRisk FactorsSARS-CoV-2 genomeSARS-CoV-2 infectionSARS-CoV-2 infection historySARS-CoV-2 variantSamplingSubgroupSymptomsSystemThinkingTimeVaccinatedVaccinationVaccineeVaccinesVariantVeteransViralViral GenomeViral Vectorbooster vaccineclinical carecohortcomparativedata sharing networksdata warehousedensitydesigneffectiveness studyefficacy trialepidemiology studyexperiencefollow-uphigh riskhospitalization rateshuman old age (65+)military veteranmortalitynovel vaccinesobservational cohort studypopulation basedpragmatic studyprimary care visitprogramsprotective factorsresponseunvaccinatedvaccination outcomevaccination protocolvaccine deliveryvaccine effectivenessvaccine efficacyvaccine failurevaccine trialvariant of interestvariants of concernwhole genome
项目摘要
As SARS-CoV-2 vaccines enter mass distribution, little is known about vaccinated individuals who nonetheless
develop Covid-19 (symptomatic disease or “vaccine failure”), require hospitalization, and die. Pfizer-BioNTech
reported 3.8 vaccine failure cases/1,000 person-years, meaning vaccine failure will be relatively common on a
population level. Pfizer, Moderna, and Janssen vaccine efficacy trials involved 35,000 to 50,000 individuals
from which there are insufficient numbers to study vaccine failure, calling for post-vaccination surveillance with
observational cohort studies in real-world settings. Using the VHA Corporate Data Warehouse (CDW) and the
Covid-19 Shared Data Resource, we can harness real-time data to design a forward-thinking, active
surveillance system to pragmatically study the epidemiology of vaccine failure. Our overarching goals in the
proposed VAccine Failure study are to characterize post-vaccination Covid-19 clinical outcomes and
identify factors associated with vaccine failure. Our central hypothesis is that adverse Covid-19 clinical
outcomes after vaccination will be increasingly common over time, driven by delayed vaccination, clinical
factors associated with weak or rapidly declining immune responses, and viral lineages accumulating escape
mutations. We propose to identify a national longitudinal cohort of all Veterans age >65 years who had a
primary care visit in the VA within the past 2 years and received at least 1 dose of any SARS-CoV-2 vaccine
(N>1.55 million Veterans). We will observe these Veterans for up to 3.5 years and ascertain diagnoses of
Covid-19 incidence or vaccine failure (acute SARS-CoV-2 infection + at least 1 symptom), hospitalization, and
mortality. We will leverage our extensive experience conducting observational cohort studies with VA and
Medicare data to emulate a target trial approach and achieve the following Aims, rooted in the epidemiological
triad: Aim 1. To describe and compare Covid-19 clinical outcomes by vaccine type and manufacturer in a
population-based national cohort of SARS-CoV-2 vaccinated Veterans. Aim 2. To determine environmental
factors associated with vaccine failure. Aim 3. To determine host factors associated with vaccine failure. Aim
4. To determine agent factors associated with vaccine failure. To achieve Aim 4, we will use a case-control
study of 600 Veterans with Covid-19 to identify cases with the outcome of viral variant and perform density
sampling of controls from our SFVAHCS/VISN-21 catchment area, where we have access to banked remnant
SARS-CoV-2 PCR-positive samples. This project is uniquely positioned to provide the National VA Vaccine
Program with real-time evidence to rapidly adapt its vaccine delivery for Veterans (e.g., vaccine boosters for at-
risk groups; timing of next-generation vaccines) while filling the urgent national need for post-vaccination
surveillance in real-world settings.
随着SARS-COV-2疫苗进入质量分布,对疫苗接种的个体知之甚少
开发Covid-19(有症状疾病或“疫苗衰竭”),需要杂化并死亡。
报告了3.8次疫苗衰竭Casses/1,000人年,这意味着疫苗失败将为相对L
人口水平。
从中没有足够的数量来研究疫苗衰竭,要求与
现实世界中的观察队列研究。
COVID-19共享数据资源,我们可以利用实时数据来设计一种前瞻性,主动
监视系统,用于务实研究疫苗衰竭的流行病学。
拟议的疫苗衰竭研究是为了表征疫苗接种后的临床结局和
确定与疫苗失败相关的因素。
疫苗接种后的结果随着时间的推移越来越普遍,临床疫苗接种延迟
与免疫反应弱或快速下降的因素以及累积的病毒linnings逃脱
突变。我们建议确定所有老年人的国家纵向队列
在过去的两年内,VA的初级保健访问,并至少接受了1剂COV-2疫苗
(n> 155万退伍军人)。
COVID-19 INCIDEO或疫苗衰竭(急性SARS-COV-2感染 +至少1个症状),住院和
死亡率。
Medicare数据模拟目标试验方法并实现以下目标,该目标植根于附属的目标
三合会:目标1。用疫苗类型和制造商进行描述和比较19的临床结果
基于人群的国家群体COV-2疫苗接种的目的2。
与疫苗失败相关的因素3
4。确定与疫苗失败相关的因素。
研究600名具有COVID-19的退伍军人,以识别具有Vieriant变体和形式密度结果的Casses
从我们的SFVAHCS/VISN-21集水区进行控件采样,我们可以访问银行残留物
SARS-COV-2 PCR阳性样品。
具有实际证据的计划,可以快速调整其对退伍军人的疫苗输送(例如
风险群体;下一代疫苗的时间),同时填补了疫苗接种后的紧急情况。
现实环境中的监视。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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John Daniel Kelly其他文献
John Daniel Kelly的其他文献
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{{ truncateString('John Daniel Kelly', 18)}}的其他基金
VAccine failure: natural history and determinants of post-vaccination Covid-19
疫苗失败:Covid-19 疫苗接种后的自然史和决定因素
- 批准号:
10368287 - 财政年份:2022
- 资助金额:
-- - 项目类别:
Understanding the epidemiology and natural history of unrecognized Ebola virus infection
了解未被识别的埃博拉病毒感染的流行病学和自然史
- 批准号:
9981623 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Understanding the epidemiology and natural history of unrecognized Ebola virus infection
了解未被识别的埃博拉病毒感染的流行病学和自然史
- 批准号:
10224704 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Understanding the epidemiology and natural history of unrecognized Ebola virus infection
了解未被识别的埃博拉病毒感染的流行病学和自然史
- 批准号:
10456047 - 财政年份:2019
- 资助金额:
-- - 项目类别:
Understanding the epidemiology and natural history of unrecognized Ebola virus infection
了解未被识别的埃博拉病毒感染的流行病学和自然史
- 批准号:
9806757 - 财政年份:2019
- 资助金额:
-- - 项目类别:
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