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中文摘要
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We will apply transdisciplinary, data-driven and multi-scale modeling approaches to inform timely policy decisions. We will specifically evaluate the effectiveness and cost-effectiveness of vaccination strategies to control rabies, polio and pertussis. Our models will capture epidemiological, clinical, behavioral and socio- economic factors pertinent to the implementation, effectiveness and health economics of policy decisions. Our results will enhance our understanding of health decision-making and inform intervention strategies to improve vaccination rates nationally and internationally.
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Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial data
  • 批准号:
    10399134
  • 项目类别:
  • 资助金额:
    $11.45万
  • 财政年份:
    2020
  • 负责人:
    ALISON P GALVANI
  • 依托单位:
Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial data
  • 批准号:
    10571939
  • 项目类别:
  • 资助金额:
    $57.5万
  • 财政年份:
    2020
  • 负责人:
    ALISON P GALVANI
  • 依托单位:
Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial data
  • 批准号:
    10113533
  • 项目类别:
  • 资助金额:
    $59.6万
  • 财政年份:
    2020
  • 负责人:
    ALISON P GALVANI
  • 依托单位:
Accelerating viral outbreak detection in US cities using mechanistic models, machine learning and diverse geospatial data
  • 批准号:
    10341179
  • 项目类别:
  • 资助金额:
    $57.5万
  • 财政年份:
    2020
  • 负责人:
    ALISON P GALVANI
  • 依托单位:
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