Caroline E Morton
Biographic Data
| ID | 8306326 |
|---|---|
| NAME | Caroline E Morton |
| GIVEN NAMES | Caroline E |
| FAMILY NAME | Morton |
| SIGNATURE | MORTON C E |
| AFFILIATIONS | University of Oxford |
| ORCID | 0000-0003-0783-0042 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Occurrence and persistence of symptoms, diagnoses and prescriptions after community-diagnosed Covid-19
BACKGROUND: We aimed to explore the occurrence and persistence of symptoms, diagnoses and prescribing after COVID-19 among populations from earlier (wave 2) and later (wave 4) in the pandemic. METHODS: With the approval of NHS England, we analysed data from English primary care using The Phoenix Partnership SystmOne through the OpenSAFELY data analytics platform. Individuals with community-diagnosed COVID-19 September 2020-January 2021 (wave 2) w…
How Should Meaningful Evidence Be Generated From Datasets
Datasets are often considered "ideal" when they are large and contain longitudinal and representative data. But even research that uses ideal datasets might not generate high-quality evidence. This article emphasizes the roles that transparency plays in enhancing observational epidemiological findings' credibility and relevance and argues that epidemiological research can produce high-quality evidence even when datasets are not ideal. This articl…
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…
Factors associated with Covid-19-related death using OpenSafely
No prominent works on this page.
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…
How Should Meaningful Evidence Be Generated From Datasets
Datasets are often considered "ideal" when they are large and contain longitudinal and representative data. But even research that uses ideal datasets might not generate high-quality evidence. This article emphasizes the roles that transparency plays in enhancing observational epidemiological findings' credibility and relevance and argues that epidemiological research can produce high-quality evidence even when datasets are not ideal. This articl…
Occurrence and persistence of symptoms, diagnoses and prescriptions after community-diagnosed Covid-19
BACKGROUND: We aimed to explore the occurrence and persistence of symptoms, diagnoses and prescribing after COVID-19 among populations from earlier (wave 2) and later (wave 4) in the pandemic. METHODS: With the approval of NHS England, we analysed data from English primary care using The Phoenix Partnership SystmOne through the OpenSAFELY data analytics platform. Individuals with community-diagnosed COVID-19 September 2020-January 2021 (wave 2) w…
COVID-19 Clinical Research Studies (3 works) · Medicine (3 works) · Cohort (2 works) · Cohort study (2 works) · Coronavirus disease 2019 (COVID-19) (2 works) · COVID-19 and healthcare impacts (2 works) · Disease (2 works) · Infectious disease (medical specialty) (2 works) · Internal Medicine (2 works) · Observational study (2 works)