Harrison Wilde
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View article: Trends in Pediatric Hospital Admissions Caused or Contributed by SARS-CoV-2 Infection in England
Trends in Pediatric Hospital Admissions Caused or Contributed by SARS-CoV-2 Infection in England Open
Infants are now the pediatric age group most affected by SARS-CoV-2, at least partially because they have the least immunity to the virus, and are most vulnerable to respiratory illnesses.
View article: Hospital admissions linked to SARS-CoV-2 infection in children and adolescents: cohort study of 3.2 million first ascertained infections in England
Hospital admissions linked to SARS-CoV-2 infection in children and adolescents: cohort study of 3.2 million first ascertained infections in England Open
Objective To describe hospital admissions associated with SARS-CoV-2 infection in children and adolescents. Design Cohort study of 3.2 million first ascertained SARS-CoV-2 infections using electronic health care record data. Setting Englan…
View article: A Methodological Framework for Assessing the Benefit of SARS-CoV-2 Vaccination following Previous Infection: Case Study of Five- to Eleven-Year-Olds
A Methodological Framework for Assessing the Benefit of SARS-CoV-2 Vaccination following Previous Infection: Case Study of Five- to Eleven-Year-Olds Open
Vaccination rates against SARS-CoV-2 in children aged five to eleven years remain low in many countries. The current benefit of vaccination in this age group has been questioned given that the large majority of children have now experience…
View article: A methodological framework for assessing the benefit of SARS-CoV-2 vaccination following previous infection: case study of five to eleven year olds
A methodological framework for assessing the benefit of SARS-CoV-2 vaccination following previous infection: case study of five to eleven year olds Open
Vaccination rates against SARS-CoV-2 in children aged five to 11 years remain low in many countries. The current benefit of vaccination in this age group has been questioned given that the large majority of children have now experienced at…
View article: Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data Open
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing. However, for many applications, synthetic data has been shown to have limited utility when used to train predictive mo…
View article: Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale
Bias Mitigated Learning from Differentially Private Synthetic Data: A Cautionary Tale Open
Increasing interest in privacy-preserving machine learning has led to new models for synthetic private data generation from undisclosed real data. However, mechanisms of privacy preservation introduce artifacts in the resulting synthetic d…
View article: Mitigating Statistical Bias within Differentially Private Synthetic Data
Mitigating Statistical Bias within Differentially Private Synthetic Data Open
Increasing interest in privacy-preserving machine learning has led to new and evolved approaches for generating private synthetic data from undisclosed real data. However, mechanisms of privacy preservation can significantly reduce the uti…
View article: A national retrospective study of the association between serious operational problems and COVID-19 specific intensive care mortality risk
A national retrospective study of the association between serious operational problems and COVID-19 specific intensive care mortality risk Open
Objectives To describe the relationship between reported serious operational problems (SOPs), and mortality for patients with COVID-19 admitted to intensive care units (ICUs). Design English national retrospective cohort study. Setting 89 …
View article: Trends in 28-Day Mortality of Critical Care Patients With Coronavirus Disease 2019 in the United Kingdom: A National Cohort Study, March 2020 to January 2021*
Trends in 28-Day Mortality of Critical Care Patients With Coronavirus Disease 2019 in the United Kingdom: A National Cohort Study, March 2020 to January 2021* Open
OBJECTIVES: To determine whether the previously described trend of improving mortality in people with coronavirus disease 2019 in critical care during the first wave was maintained, plateaued, or reversed during the second wave in United K…
View article: A national retrospective cohort study of mechanical ventilator availability and its association with mortality risk in intensive care patients with COVID-19
A national retrospective cohort study of mechanical ventilator availability and its association with mortality risk in intensive care patients with COVID-19 Open
Objectives: To determine if there is an association between survival rates in intensive care units (ICU) and occupancy of the unit on the day of admission. Design: National retrospective observational cohort study during the COVID-19 pande…
View article: A recommendation and risk classification system for connecting rough sleepers to essential outreach services
A recommendation and risk classification system for connecting rough sleepers to essential outreach services Open
Rough sleeping is a chronic experience faced by some of the most disadvantaged people in modern society. This paper describes work carried out in partnership with Homeless Link (HL), a UK-based charity, in developing a data-driven approach…
View article: Hospital bed capacity and usage across secondary healthcare providers in England during the first wave of the COVID-19 pandemic: a descriptive analysis
Hospital bed capacity and usage across secondary healthcare providers in England during the first wave of the COVID-19 pandemic: a descriptive analysis Open
Objective In this study, we describe the pattern of bed occupancy across England during the peak of the first wave of the COVID-19 pandemic. Design Descriptive survey. Setting All non-specialist secondary care providers in England from 27 …
View article: Foundations of Bayesian Learning from Synthetic Data
Foundations of Bayesian Learning from Synthetic Data Open
There is significant growth and interest in the use of synthetic data as an enabler for machine learning in environments where the release of real data is restricted due to privacy or availability constraints. Despite a large number of met…
View article: A geotemporal survey of hospital bed saturation across England during the first wave of the COVID-19 Pandemic
A geotemporal survey of hospital bed saturation across England during the first wave of the COVID-19 Pandemic Open
Background Non-pharmacological interventions were introduced based on modelling studies which suggested that the English National Health Service (NHS) would be overwhelmed by the COVID-19 pandemic. In this study, we describe the pattern of…