A study using the OpenSAFELY platform analyzed factors associated with COVID-19-related death in England, examining 17.2 million adults linked to 10,926 deaths. Key risk factors included male sex, older age, higher deprivation, diabetes, severe asthma, and various other medical conditions. Black and South Asian individuals had higher risks than white individuals, even after adjusting for other factors. Deprivation was also strongly associated with increased risk, with the most deprived group having a hazard ratio of 1.79 compared to the least deprived. Obesity, defined as a BMI over 40, was associated with a 1.92-fold increased risk. Severe asthma, respiratory disease, chronic heart disease, liver disease, stroke, dementia, and autoimmune conditions were also linked to higher risk. Smoking showed a complex relationship, with current smokers having a lower risk in fully adjusted models, possibly due to comorbidities that mediate smoking effects. Hypertension was associated with increased risk up to age 70, but lower risk after that. The study found that most comorbidities were associated with increased risk, including cardiovascular disease, diabetes, respiratory disease, obesity, and a history of haematological malignancy. The study used a secure analytics platform to analyze large datasets, allowing for timely and detailed analysis of risk factors. The results highlight the importance of addressing social determinants of health, such as deprivation, and the need for targeted protection measures for vulnerable groups. The study also emphasizes the importance of further research into the underlying causes of increased risk among BAME groups and people in deprived areas. The OpenSAFELY platform is designed to support ongoing research and analysis of COVID-19-related data, providing a secure and transparent method for data analysis. The study underscores the need for continued research and collaboration to better understand and address the impact of COVID-19 on different populations.A study using the OpenSAFELY platform analyzed factors associated with COVID-19-related death in England, examining 17.2 million adults linked to 10,926 deaths. Key risk factors included male sex, older age, higher deprivation, diabetes, severe asthma, and various other medical conditions. Black and South Asian individuals had higher risks than white individuals, even after adjusting for other factors. Deprivation was also strongly associated with increased risk, with the most deprived group having a hazard ratio of 1.79 compared to the least deprived. Obesity, defined as a BMI over 40, was associated with a 1.92-fold increased risk. Severe asthma, respiratory disease, chronic heart disease, liver disease, stroke, dementia, and autoimmune conditions were also linked to higher risk. Smoking showed a complex relationship, with current smokers having a lower risk in fully adjusted models, possibly due to comorbidities that mediate smoking effects. Hypertension was associated with increased risk up to age 70, but lower risk after that. The study found that most comorbidities were associated with increased risk, including cardiovascular disease, diabetes, respiratory disease, obesity, and a history of haematological malignancy. The study used a secure analytics platform to analyze large datasets, allowing for timely and detailed analysis of risk factors. The results highlight the importance of addressing social determinants of health, such as deprivation, and the need for targeted protection measures for vulnerable groups. The study also emphasizes the importance of further research into the underlying causes of increased risk among BAME groups and people in deprived areas. The OpenSAFELY platform is designed to support ongoing research and analysis of COVID-19-related data, providing a secure and transparent method for data analysis. The study underscores the need for continued research and collaboration to better understand and address the impact of COVID-19 on different populations.