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Using data to improve public health: COVID-19 secondment

Using data to improve public health: COVID-19 secondment
利用数据改善公共卫生:COVID-19 借调
批准号:
MR/W021447/1
负责人:
Lucy Teece
金额:
$8.14万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

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中文摘要
翻译
摘要:目的:本项目的目的是了解自delta变异出现以来COVID-19感染后不良健康事件风险的变化研究问题:与以前的COVID-19变异相比,delta变异是否使COVID-19感染者和未感染者之间的不良事件发生率差异更大?接种疫苗的人和选择不接种疫苗的人之间的差异会发生变化吗?方法:我们将使用电子健康记录来识别接种疫苗者和有资格接种疫苗但未接种疫苗者的不良事件(包括心脏病发作、中风、肺栓塞、深静脉血栓形成、心力衰竭、心绞痛等)。我们将比较这些组在感染COVID-19之前和之后的不良事件发生率。在调整了重要因素(包括性别、年龄、种族、贫困、地区、吸烟状况、肥胖等)后,将比较COVID-19前后不良事件的风险。
英文摘要
Events following SARS-CoV-2 infection in the era of delta - Lay SummaryAim:The aim of this project is to understand changes to the risks of adverse health events following COVID-19 infection since the emergence of the delta variantResearch Questions:Are the differences in rates of adverse events between those with and without COVID-19 larger with the delta variant, compared to previous COVID-19 variants?Do the differences change between those who are vaccinated and those who chose not to be vaccinated?Methods:We will use electronic health records to identify adverse events (including heart attack, stroke, pulmonary embolism, deep vein thrombosis, heart failure, angina, etc.) in people who have been vaccinated, and those who were eligible to receive a vaccination but did not. We will compare the rates of adverse events in these groups before and after COVID-19 infection. The risk of adverse events, before and after COVID-19, will be compared after adjusting for important factors (including sex, age, ethnicity, deprivation, region, smoking status, obesity, etc.)
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: