Kathryn E Mansfield
Biographic Data
| ID | 6173101 |
|---|---|
| NAME | Kathryn E Mansfield |
| GIVEN NAMES | Kathryn E |
| FAMILY NAME | Mansfield |
| SIGNATURE | MANSFIELD K E |
| AFFILIATIONS | University of London |
| ORCID | 0000-0002-2551-410X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| 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…
Infections and cognitive function, depression, and frailty
Infections may be associated with an increased risk of poor brain health and frailty among older people, but evidence from low-and-middle-income countries (LMICs) is limited. We aimed to investigate associations between nine infections and cognition, depression, and frailty in India. We conducted a cross-sectional study using data from Wave 1 (2017–2019) of the Longitudinal Aging Study in India (LASI) survey of adults (≥ 45years) from 35 of India…
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…
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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…
Infections and cognitive function, depression, and frailty
Infections may be associated with an increased risk of poor brain health and frailty among older people, but evidence from low-and-middle-income countries (LMICs) is limited. We aimed to investigate associations between nine infections and cognition, depression, and frailty in India. We conducted a cross-sectional study using data from Wave 1 (2017–2019) of the Longitudinal Aging Study in India (LASI) survey of adults (≥ 45years) from 35 of India…
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…
Environmental health (2 works) · Epidemiology (2 works) · Health disparities and outcomes (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Pathology (2 works) · Public health (2 works) · Biostatistics (1 works) · Cognition (1 works) · Cohort (1 works)