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/W021315/1
• 负责人: Milla Kibble
• 金额: $ 14.88万
• 依托单位: University of Cambridge
• 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%2FW021315%2F1
• 关键词: Using; data; improve; public; health

One of the core remits of the COVID-19 Longitudinal Health and Wellbeing National Core Study (LH&W NCS) is to understand the consequences of COVID-19 infection and the role of vaccination in mitigating risks. To gain a better understanding of immunological responses to COVID-19 infection and vaccination, serology data (data on COVID-19 antibody levels) was collected for over 30,000 participants from 11 longitudinal population studies between March and May 2021. In addition, even more in-depth immunological data was collected for a subset of one of these population cohorts, namely the Avon Longitudinal Study of Parents and Children (ALSPAC) - a birth cohort recruited in Bristol in the 1990s. There are many studies of seroprevalence (frequency of individuals with antibodies to COVID-19 in a population), and of immune response, largely recruiting patients discharged from hospital with a COVID-19 diagnosis, or volunteers. However, the current study embedding serology in existing population cohorts can address knowledge gaps including: understanding of milder or asymptomatic disease, lack of appropriate control groups for comparison, concerns regarding generalisability given the selective response to previous serological studies and limited objective pre-pandemic data to understand biological determinants of infection or immune response (e.g. metabolic and inflammatory status). The population cohorts form a rich resource in which to study immunological response as they represent key sectors of the population (spanning age groups, socioeconomic status and ethnicity - Table 1.), findings are demonstrably generalizable, and they have rich pre-pandemic biological and sociodemographic data. The aim of this project is to analyse immunological data sets within longitudinal population cohorts to investigate the biological and societal factors underlying the differential immunological responses to COVID-19 infection or vaccination. We will: (i) evaluate pre- and trans- pandemic health and sociodemographic factors associating with low antibody levels post vaccination; (ii) investigate differences between symptomatic and asymptomatic cases following natural infection; and (iii) examine biological explanations for differential vaccine immunological response. This work aims to help inform vaccination strategies and design as well as decisions regarding the easing of public health control measures.

COVID-19纵向健康与福祉国家核心研究（LH&W NCS）的核心任务之一是了解COVID-19感染的后果以及疫苗接种在降低风险方面的作用。为了更好地了解对COVID-19感染和疫苗接种的免疫反应，我们于2021年3月至5月期间从11项纵向人群研究中收集了超过30，000名参与者的血清学数据（关于COVID-19抗体水平的数据）。此外，更深入的免疫学数据被收集的一个子集，这些人口队列，即雅芳纵向研究的父母和儿童（ALSPAC）-出生队列招募在布里斯托在20世纪90年代。有许多关于血清阳性率（人群中具有COVID-19抗体的个体的频率）和免疫反应的研究，主要招募患有COVID-19诊断的出院患者或志愿者。然而，目前在现有人群队列中嵌入血清学的研究可以解决知识差距，包括：对轻度或无症状疾病的理解，缺乏适当的对照组进行比较，考虑到对先前血清学研究的选择性反应以及有限的客观大流行前数据来了解感染或免疫反应的生物决定因素（例如代谢和炎症状态），对普遍性的担忧。人群队列构成了研究免疫应答的丰富资源，因为它们代表了人口的关键部分（跨越年龄组、社会经济地位和种族-表1），这些调查结果显然具有普遍性，并具有丰富的大流行前生物和社会人口数据。该项目的目的是分析纵向人群队列中的免疫学数据集，以研究对COVID-19感染或疫苗接种的不同免疫反应背后的生物和社会因素。我们将：（i）评估与接种疫苗后抗体水平低相关的大流行前和大流行期间的健康和社会人口因素;（ii）调查自然感染后有症状和无症状病例之间的差异;（iii）研究疫苗免疫反应差异的生物学解释。这项工作的目的是帮助宣传疫苗接种战略和设计以及关于放松公共卫生控制措施的决定。

项目成果

Antibody levels following vaccination against SARS-CoV-2: associations with post-vaccination infection and risk factors in two UK longitudinal studies.

• DOI: 10.7554/elife.80428
• 发表时间: 2023-01-24
• 期刊: eLife
• 影响因子: 7.7
• 作者: Cheetham NJ;Kibble M;Wong A;Silverwood RJ;Knuppel A;Williams DM;Hamilton OKL;Lee PH;Bridger Staatz C;Di Gessa G;Zhu J;Katikireddi SV;Ploubidis GB;Thompson EJ;Bowyer RCE;Zhang X;Abbasian G;Garcia MP;Hart D;Seow J;Graham C;Kouphou N;Acors S;Malim MH;Mitchell RE;Northstone K;Major-Smith D;Matthews S;Breeze T;Crawford M;Molloy L;Kwong ASF;Doores K;Chaturvedi N;Duncan EL;Timpson NJ;Steves CJ
• 通讯作者: Steves CJ

Characterising patterns of COVID-19 and long COVID symptoms: evidence from nine UK longitudinal studies.

• DOI: 10.1007/s10654-022-00962-6
• 发表时间: 2023-03
• 期刊: EUROPEAN JOURNAL OF EPIDEMIOLOGY
• 影响因子: 13.6
• 作者: Bowyer, Ruth C. E.;Huggins, Charlotte;Toms, Renin;Shaw, Richard J. J.;Hou, Bo;Thompson, Ellen J. J.;Kwong, Alex S. F.;Williams, Dylan M. M.;Kibble, Milla;Ploubidis, George B. B.;Timpson, Nicholas J. J.;Sterne, Jonathan A. C.;Chaturvedi, Nishi;Steves, Claire J. J.;Tilling, Kate;Silverwood, Richard J. J.;CONVALESCENCE Study
• 通讯作者: CONVALESCENCE Study