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Explaining the differential severity of COVID-19 between Indians in India and the UK

Explaining the differential severity of COVID-19 between Indians in India and the UK
解释印度和英国印度人之间的 COVID-19 严重程度差异
批准号:
MR/V040235/1
负责人:
Sanjay Kinra
金额:
$35.26万
依托单位国家:
英国
项目类别:
Research Grant
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
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a viral infection; while many people experience mild symptoms and recover quickly, others go on to develop severe coronavirus disease (COVID-19) resulting in hospitalisation or death. Many studies have shown that severe COVID-19 is more common in people who are older, overweight, or with existing health conditions. In countries such as the UK and USA, COVID-19 has had a greater impact on ethnic minority populations, including those of Indian ethnicity. One explanation is that the prevalence of these risk factors is higher in Indian populations than in the majority population. In contrast, India has the lowest number of COVID-19 deaths worldwide. This has led to the belief that severe COVID-19 may be less common in people residing in India than in Indian people in other countries. There are several plausible explanations for this; Firstly, people residing in India may have greater environmental exposure to sunlight than Indians residing in other countries, which may result in higher levels of vitamin D.Secondly, people living in India may have greater immunity to COVID-19 resulting from greater exposure to other infections. This is related to socioeconomic status as people living in overcrowded households with poor sanitation may be more likely to contract infections than Indian populations overseas. Thirdly, people residing in India may also be less obese and have fewer pre-existing conditions than Indian people living in higher-income countries. Lower BMI in Indian residents may result from lower calorie intake or higher physical activity - both of which may lower the risk of severe COVID-19. While it is possible that real biological differences may explain the lower risk of severe COVID-19 in Indian residents, there may be alternative explanations such as differences in the quality of COVID-19 data and age structure of the populations. For example, people living in India may be less likely to visit the hospital with COVID-19 due to stigma around the virus, or they may be more likely to die at home instead of in a medical facility. This means that the cause of death may be less well captured in India than in other countries, and the true number of people with severe COVID-19 may be underestimated. To date, no study has fully answered whether the severity of COVID-19 truly differs between Indian populations in India and in other countries. In this study, we will compare the risk of severe COVID-19 between Indians the UK and India and identify possible explanations. We will conduct two large studies. The first study will use the anonymised medical records of 50400,000 Indians in the UK and interview data from 220,000 people living in urban and rural India. We will first compare the proportion of the population who have ever had severe COVID-19, defined as either going to the hospital for or dying from COVID-19. We will then explore whether differences in the prevalence of severe COVID-19 can be explained by differences in data quality, the age structure of the two populations, or differences in the prevalence of key risk factors. Our study will address the key issue of whether COVID-19 is underestimated in India by firstly interviewing individuals ever admitted to hospital about COVID-19 symptom, and secondly, by interviewing people about deaths of their family members using a method known as a verbal autopsy. The second study will use detailed biological and information collected as part of two studies in India to conduct an in-depth examination of linked between COVID-19 and prior infections or vaccinations, obesity, co-morbidities, and vitamin D. We expect that the impacts of our research will include the development of COVID-19 prevention and management strategies which take into account the specific needs of Indian populations worldwide, and a deeper understanding of factors which lead to the development of severe COVID-19 in people of Indian origin.
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国内基金
海外基金
Teichmüller理论与动力系统
  • 批准号:
    11026124
  • 项目类别:
    数学天元基金项目
  • 资助金额:
    3.0万元
  • 批准年份:
    2010
  • 负责人:
    沈良
  • 依托单位:
Leydig干细胞纯化、扩增及雄激素分泌组织构建
蛋白质组学指纹图谱技术差异蛋白放射性核素肿瘤显像
  • 批准号:
    30570523
  • 项目类别:
    面上项目
  • 资助金额:
    26.0万元
  • 批准年份:
    2005
  • 负责人:
    李少林
  • 依托单位: