Ian J Douglas
Biographic Data
| ID | 10484154 |
|---|---|
| NAME | Ian J Douglas |
| GIVEN NAMES | Ian J |
| FAMILY NAME | Douglas |
| SIGNATURE | DOUGLAS I J |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Ethnic differences in Sars-CoV-2 infection and Covid-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England
BACKGROUND: COVID-19 has disproportionately affected minority ethnic populations in the UK. Our aim was to quantify ethnic differences in SARS-CoV-2 infection and COVID-19 outcomes during the first and second waves of the COVID-19 pandemic in England. METHODS: We conducted an observational cohort study of adults (aged ≥18 years) registered with primary care practices in England for whom electronic health records were available through the OpenSAF…
UK prevalence of underlying conditions which increase the risk of severe Covid-19 disease
The population at risk of severe COVID-19 (defined as either aged ≥70 years, or younger with an underlying health condition) comprises 18.5 million individuals in the UK, including a considerable proportion of school-aged and working-aged individuals. Our national estimates broadly support the use of Global Burden of Disease modelled estimates in other countries. We provide age- and region- stratified prevalence for each condition to support effe…
Factors associated with Covid-19-related death using OpenSafely
Association of BMI with overall and cause-specific mortality
Background BMI is known to be strongly associated with all-cause mortality, but few studies have been large enough to reliably examine associations between BMI and a comprehensive range of cause-specific mortality outcomes. Methods In this population-based cohort study, we used UK primary care data from the Clinical Practice Research Datalink (CPRD) linked to national mortality registration data and fitted adjusted Cox regression models to examin…
No prominent works on this page.
Association of BMI with overall and cause-specific mortality
Background BMI is known to be strongly associated with all-cause mortality, but few studies have been large enough to reliably examine associations between BMI and a comprehensive range of cause-specific mortality outcomes. Methods In this population-based cohort study, we used UK primary care data from the Clinical Practice Research Datalink (CPRD) linked to national mortality registration data and fitted adjusted Cox regression models to examin…
Factors associated with Covid-19-related death using OpenSafely
Ethnic differences in Sars-CoV-2 infection and Covid-19-related hospitalisation, intensive care unit admission, and death in 17 million adults in England
BACKGROUND: COVID-19 has disproportionately affected minority ethnic populations in the UK. Our aim was to quantify ethnic differences in SARS-CoV-2 infection and COVID-19 outcomes during the first and second waves of the COVID-19 pandemic in England. METHODS: We conducted an observational cohort study of adults (aged ≥18 years) registered with primary care practices in England for whom electronic health records were available through the OpenSAF…
UK prevalence of underlying conditions which increase the risk of severe Covid-19 disease
The population at risk of severe COVID-19 (defined as either aged ≥70 years, or younger with an underlying health condition) comprises 18.5 million individuals in the UK, including a considerable proportion of school-aged and working-aged individuals. Our national estimates broadly support the use of Global Burden of Disease modelled estimates in other countries. We provide age- and region- stratified prevalence for each condition to support effe…
Disease (4 works) · Medicine (4 works) · COVID-19 and healthcare impacts (3 works) · Demography (3 works) · Internal Medicine (3 works) · Chronic Disease Management Strategies (2 works) · Cohort (2 works) · Cohort study (2 works) · Confidence interval (2 works) · Coronavirus disease 2019 (COVID-19) (2 works)