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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/W021277/1
负责人:
Rebecca Rhead
金额:
$13.57万
依托单位:
依托单位国家:
英国
项目类别:
Fellowship
财政年份:
2021
资助国家:
英国
项目状态:
已结题
起止时间:
2021 至 --

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中文摘要
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英文摘要
During my secondment with the Centre for Longitudinal Studies (CLS), I will conduct research examining the impact of long covid on employment and income in the UK, and how COVID-19 has disproportionately affected some populations more than others. In order to do this, I will analyse data from CLS's four national longitudinal cohort studies which follow tens of thousands of UK residents from birth and across their entire lives. Each of these four studies follows large, nationally representative groups of people born each year. CLS's oldest study charts the lives of a group of Baby Boomers born in the late 1950s, while the most recent cohort assesses a group of those born at the turn of the new century. During the pandemic, CLS have conducted an additional COVID-19 survey in all four of these cohort studies as well as participants in the National Survey of Health and Development. The aim of this COVID-19 survey is to understand the economic, social and health impacts of the COVID-19 crisis, the extent to which the pandemic is widening or narrowing inequalities, and the lifelong factors which shape vulnerability and resilience to its effects.My role, as part of the multi-institutional National Core Studies?Longitudinal?Health and Wellbeing initiative, is to utilise CLS cohort data to conduct studies focusing on i) COVID-19 severity and employment/income disruption and ii) Socioeconomic, demographic and geospatial determinants of COVID-19 infections. Both studies draw together data from multiple UK studies and electronic health records. Such research is crucial given that both the COVID-19 virus and subsequent lockdown and furlough measures have led to a drastic change in the daily lives of the UK population. Understanding how people's health, economic activity and social lives continue to evolve has considerable policy importance, since the pandemic is not only an infectious disease crisis but also an economic and social crisis.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
Long COVID and financial outcomes: Evidence from four longitudinal population surveys
长期新冠疫情和财务结果:来自四项纵向人口调查的证据
DOI: 10.1101/2023.05.23.23290354
发表时间: 2023
期刊:
影响因子: --
作者: [Rhead R]
通讯作者: Rhead R
Ethnic inequalities during clinical placement: A qualitative study of student nurses' experiences within the London National Health Service.
临床实习期间的种族不平等:对伦敦国家卫生服务中心实习护士经历的定性研究。
DOI: 10.1111/jan.15891
发表时间: 2024
期刊: Journal of advanced nursing
影响因子: 3.8
作者: [Walker CR]
通讯作者: Walker CR
Covid-19 Risk by work-related factors: Pooled analysis of individual linked data from 14 cohorts
按工作相关因素划分的 Covid-19 风险:对 14 个队列的个人关联数据进行汇总分析
DOI: 10.1101/2023.12.19.23298502
发表时间: 2023
期刊:
影响因子: --
作者: [Gittins M]
通讯作者: Gittins M
Ethnic inequalities during clinical placement: a qualitative study of student nurses' experiences within the London National Health Service
临床实习期间的种族不平等:对伦敦国家卫生服务中心实习护士经历的定性研究
DOI: 10.1101/2023.02.13.23285608
发表时间: 2023
期刊:
影响因子: --
作者: [Walker C]
通讯作者: Walker C
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: