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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/W021242/1
负责人:
Mark Green
金额:
$14.46万
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 --

项目摘要

项目成果

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中文摘要
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英文摘要
The COVID-19 pandemic has placed large pressures on the NHS. Initially faced with an uncertain future, the NHS responded through cancelling all non-emergency care to make space to treat patients with COVID-19. While the NHS has demonstrated greater resilience during subsequent waves, there has still been considerable ongoing disruption to the delivery of health care. Cancer screening programmes have been postponed, non-essential surgeries delayed, and GPs have consulted with patients online or via telephones. Some people were discouraged from seeing their GP or visiting a hospital for fear of catching COVID-19 or not wanting to take up resources during a pandemic. It is plausible that this disruption may have negatively impacted people's health. Where screening was delayed, diseases may have not been diagnosed as early as normal, meaning that when people started treatment they were sicker and treatment was less successful. Delayed care might mean that treatable conditions worsen, impacting people's quality of life. Waiting lists have grown, meaning that people wanting to access new care now face longer waits than before which could have longer-term consequences. While the COVID-19 pandemic has affected everyone, the largest health impacts have been experienced among the most disadvantaged communities and it is likely that the disruption of health care will also have had a greater impact on these communities.This fellowship will study the impacts of health care disruption in the UK. It will describe the extent of healthcare disruption, identify which parts of the NHS have been affected most, examine who this disruption has affected and how it varies across the UK. We will examine the experiences of those individuals affected by disruption, including whether it has impacted their health, wellbeing and quality of life.
期刊论文(8)
专著(0)
科研奖励(0)
会议论文
Trends in inequalities in avoidable hospitalisations across the COVID-19 pandemic: a cohort study of 23.5 million people in England.
共同199年大流行的可避免住院的不平等趋势:英格兰2350万人的队列研究。
DOI: 10.1136/bmjopen-2023-077948
发表时间: 2024-01-08
期刊: BMJ OPEN
影响因子: 2.9
作者: [Green, Mark Alan, McKee, Martin, Massey, Jon, Mackenna, Brian, Mehrkar, Amir, Bacon, Seb, Macleod, John, Sheikh, Aziz, Shah, Syed Ahmar, Katikireddi, Srinivasa Vittal]
通讯作者: Katikireddi, Srinivasa Vittal
Changing patterns of SARS-CoV-2 infection through Delta and Omicron waves by vaccination status, previous infection and neighbourhood deprivation: A cohort analysis of 2.7M people
通过疫苗接种状态、既往感染和邻里剥夺,通过 Delta 波和 Omicron 波改变 SARS-CoV-2 感染模式:对 270 万人进行的队列分析
DOI: 10.1101/2022.04.05.22273169
发表时间: 2022
期刊:
影响因子: --
作者: [Green M]
通讯作者: Green M
DOI: 10.1136/bmj-2023-075133
发表时间: 2023-07-19
期刊: BMJ-BRITISH MEDICAL JOURNAL
影响因子: 105.7
作者: [Green, Mark A., McKee, Martin, Hamilton, Olivia K. L., Shaw, Richard J., Macleod, John, Boyd, Andy, Katikireddi, Srinivasa Vittal]
通讯作者: Katikireddi, Srinivasa Vittal
Associations between reported healthcare disruption due to COVID-19 and avoidable hospitalisation: Evidence from seven linked longitudinal studies for England
报告的因 COVID-19 造成的医疗保健中断与可避免的住院治疗之间的关联:来自英格兰七项相关纵向研究的证据
DOI: 10.1101/2023.02.01.23285333
发表时间: 2023
期刊:
影响因子: --
作者: [Green M]
通讯作者: Green M
Translational nanoconstructs for targeted tissue accumulation and guided surgery in cancer
  • 批准号:
    EP/X014495/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $29.07万
  • 财政年份:
    2023
  • 负责人:
    Mark Green
  • 依托单位:
Collaborative Proposal: MSA: Controls on coupled nitrogen and carbon cycles of watersheds across eco-regions
  • 批准号:
    1926463
  • 项目类别:
    Standard Grant
  • 资助金额:
    $8.0万
  • 财政年份:
    2020
  • 负责人:
    Mark Green
  • 依托单位:
Functional Nitride Nanocrystals for Quantum Enhanced Technologies
  • 批准号:
    EP/M015653/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $41.71万
  • 财政年份:
    2015
  • 负责人:
    Mark Green
  • 依托单位:
Conjugated Polymer Nanoparticles for Near Infrared Fluorescence Imaging
  • 批准号:
    EP/K018876/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $46.11万
  • 财政年份:
    2013
  • 负责人:
    Mark Green
  • 依托单位:
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: