Modeling ongoing SARS-CoV2 vaccination strategies in light of emerging data on immunity and viral evolution
Modeling ongoing SARS-CoV2 vaccination strategies in light of emerging data on immunity and viral evolution
批准号:
10398368
负责人:
Benjamin A Lopman
金额:
$17.31万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-06-01 至 2023-05-31
关键词:
2019-nCoVAntibodiesCOVID-19COVID-19 vaccinationCOVID-19 vaccineCalibrationCollectionComputer SimulationDataDevelopmentEvolutionFutureGuidelinesImmuneImmunityIncidenceInfectionLightModelingNorovirusPatternPopulationPublic HealthPublicationsRecommendationResourcesRoleSARS-CoV-2 immunitySARS-CoV-2 infectionSARS-CoV-2 variantSerologySocial DistanceStatistical ModelsVaccinationVaccinesViralVirusWorkmodels and simulationpathogentoolvaccination strategyvaccine distributionvaccine efficacyvaccine-induced immunity
中文摘要
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英文摘要
SUMMARY
While SARS-CoV-2, the pathogen causing COVID-19, continues to spread, the rapid development and
deployment of effective vaccines provide a means by which we can reduce its future impact. Initial vaccines have
shown to be highly effective, however, the current emergence of new SARS-CoV-2 variants, together with
indications that of waning immunity, means that continued repeat vaccinations are likely to be required. Here,
we will build upon resources we have already developed from our ongoing project aimed at modeling potential
norovirus vaccines and our previous work aimed at modeling the impact of vaccination for SARS-CoV-2 Our
team has made contributions and investigated the relative population impacts of SARS-CoV-2 vaccines with
different mechanisms of action; characterized patterns of virus evolution that have the potential to impact
vaccine efficacy and escape; and, examined initial strategies for vaccine deployment with the aim of relaxing
social distancing guidelines. We will leverage these data and modeling tools and build on this work to assess
more fully the patterns of immune waning and virus evolution. We will then use these data and results and
combine them with our existing SARS-CoV-2 vaccine simulation model to inform the building and the calibration
of an extended model. This extended model will account for waning immunity to SARS-CoV-2 and its viral
evolution. Our model will inform rapidly emerging scientific questions around continued SARS-CoV-2
vaccination and re-vaccination strategies, including both boosting and vaccine reformulation.
期刊论文(0)
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科研奖励(0)
会议论文
COVID-19 - Global Mix / Investigation of COVID-19 Disease Parameters for Transmission Models in Low-Resource Settings
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批准号:10367612
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项目类别:
-
资助金额:$78.58万
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财政年份:2022
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负责人:Benjamin A Lopman
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依托单位:
COVID-19 - Global Mix / Investigation of COVID-19 Disease Parameters for Transmission Models in Low-Resource Settings
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批准号:10577833
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项目类别:
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资助金额:$27.01万
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财政年份:2022
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负责人:Benjamin A Lopman
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依托单位:
COVID Global Mix - Global Mix / Investigation of COVID-19 Disease Parameters for Transmission Models in Low-Resource Settings
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批准号:10863617
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项目类别:
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资助金额:$42.9万
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财政年份:2022
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负责人:Benjamin A Lopman
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依托单位:
Comprehensive Profiling of Social Mixing Patterns in Resource Poor Countries
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批准号:10397072
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项目类别:
-
资助金额:$52.93万
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财政年份:2019
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负责人:Benjamin A Lopman
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依托单位:
Comprehensive Profiling of Social Mixing Patterns in Resource Poor Countries
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批准号:10610730
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项目类别:
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资助金额:$50.45万
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财政年份:2019
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负责人:Benjamin A Lopman
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依托单位:
Integrating data streams with multi-scale modeling to guide norovirus vaccine decision-making
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批准号:10160920
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项目类别:
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资助金额:$34.03万
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财政年份:2018
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负责人:Benjamin A Lopman
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依托单位:
Integrating data streams with multi-scale modeling to guide norovirus vaccine decision-making
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批准号:10413200
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项目类别:
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资助金额:$34.03万
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财政年份:2018
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负责人:Benjamin A Lopman
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依托单位:
海外基金