VAccine failure: natural history and determinants of post-vaccination Covid-19
VAccine failure: natural history and determinants of post-vaccination Covid-19
批准号:
10595580
负责人:
John Daniel Kelly
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-01-01 至 2025-12-31
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
中文摘要
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英文摘要
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.
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会议论文
VAccine failure: natural history and determinants of post-vaccination Covid-19
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批准号:10368287
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项目类别:
-
资助金额:$0.0万
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财政年份:2022
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负责人:John Daniel Kelly
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依托单位:
Understanding the epidemiology and natural history of unrecognized Ebola virus infection
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批准号:9981623
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项目类别:
-
资助金额:$19.91万
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财政年份:2019
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负责人:John Daniel Kelly
-
依托单位:
Understanding the epidemiology and natural history of unrecognized Ebola virus infection
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批准号:10224704
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项目类别:
-
资助金额:$19.91万
-
财政年份:2019
-
负责人:John Daniel Kelly
-
依托单位:
Understanding the epidemiology and natural history of unrecognized Ebola virus infection
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批准号:10456047
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项目类别:
-
资助金额:$15.07万
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财政年份:2019
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负责人:John Daniel Kelly
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依托单位:
Understanding the epidemiology and natural history of unrecognized Ebola virus infection
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批准号:9806757
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项目类别:
-
资助金额:$19.91万
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财政年份:2019
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负责人:John Daniel Kelly
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依托单位:
海外基金