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: King's College London
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FW021277%2F1
• 关键词: Using; data; improve; public; health

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.

在我借调到纵向研究中心（CLS）期间，我将进行研究，研究长期COVID对英国就业和收入的影响，以及COVID-19如何对某些人群造成不成比例的影响。为了做到这一点，我将分析来自CLS的四个国家纵向队列研究的数据，这些研究跟踪了数万名英国居民从出生到一生的情况。这四项研究中的每一项都追踪了每年出生的具有全国代表性的大型人群。CLS最古老的研究记录了一群出生于20世纪50年代末的婴儿潮一代的生活，而最近的研究则评估了一群出生于新世纪之交的人。于疫情期间，CLS已对所有四项该等队列研究以及全国健康与发展调查的参与者进行额外COVID-19调查。本次COVID-19调查的目的是了解COVID-19危机对经济、社会和健康的影响，了解疫情扩大或缩小不平等的程度，以及影响脆弱性和抵御其影响的终身因素。我作为多机构国家核心研究的一部分的角色？纵向？健康与福祉倡议，是利用CLS队列数据进行研究，重点关注i）COVID-19的严重程度和就业/收入中断，以及ii）COVID-19感染的社会经济、人口和地理空间决定因素。这两项研究都汇集了来自英国多项研究和电子健康记录的数据。鉴于COVID-19病毒以及随后的封锁和休假措施导致英国人口的日常生活发生巨大变化，此类研究至关重要。了解人们的健康、经济活动和社会生活如何继续演变具有相当大的政策重要性，因为这一流行病不仅是一场传染病危机，而且也是一场经济和社会危机。

项目成果

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
• 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

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
• 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
• 作者: Walker C

Associations between SARS-CoV-2 infection and subsequent economic inactivity and employment status: pooled analyses of five linked longitudinal surveys.

SARS-CoV-2 感染与随后的经济不活动和就业状况之间的关联：五项相关纵向调查的汇总分析。

• DOI: 10.1101/2023.07.31.23293422
• 发表时间: 2023
• 期刊: medRxiv : the preprint server for health sciences
• 作者: Shaw,RichardJ;Rhead,Rebecca;Silverwood,RichardJ;Wels,Jacques;Zhu,Jingmin;Hamilton,OliviaKl;Gessa,GiorgioDi;Bowyer,RuthCe;Moltrecht,Bettina;Green,MichaelJ;Demou,Evangelia;Pattaro,Serena;Zaninotto,Paola;Boyd,Andy;Greaves,F
• 通讯作者: Greaves,F