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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
根据免疫和病毒进化的新数据对正在进行的 SARS-CoV2 疫苗接种策略进行建模
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

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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.
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COVID-19 - Global Mix / Investigation of COVID-19 Disease Parameters for Transmission Models in Low-Resource Settings
  • 批准号:
    10367612
  • 项目类别:
  • 资助金额:
    $78.58万
  • 财政年份:
    2022
  • 负责人:
    Benjamin A Lopman
  • 依托单位:
COVID-19 - Global Mix / Investigation of COVID-19 Disease Parameters for Transmission Models in Low-Resource Settings
  • 批准号:
    10577833
  • 项目类别:
  • 资助金额:
    $27.01万
  • 财政年份:
    2022
  • 负责人:
    Benjamin A Lopman
  • 依托单位:
COVID Global Mix - Global Mix / Investigation of COVID-19 Disease Parameters for Transmission Models in Low-Resource Settings
  • 批准号:
    10863617
  • 项目类别:
  • 资助金额:
    $42.9万
  • 财政年份:
    2022
  • 负责人:
    Benjamin A Lopman
  • 依托单位:
Comprehensive Profiling of Social Mixing Patterns in Resource Poor Countries
  • 批准号:
    10610730
  • 项目类别:
  • 资助金额:
    $50.45万
  • 财政年份:
    2019
  • 负责人:
    Benjamin A Lopman
  • 依托单位:
海外基金