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Rob's research aims to equitably improve the health of the public through the application of data science and public health research. The research group he leads in Public Health Data Science works towards this aim by using complex health data and digital interventions to equitably improve health. The research group consists of clinicians, computer scientists, epidemiologists, engineers, data scientists, anthropologists and public health experts. The group conducts its research in a transdisciplinary manner and co-produces it with policymakers and experts by experience.
A focus of Rob's work relates to making invisible populations visible by using data to understand the health needs of people experiencing homelessness, substance use, imprisonment, or migration. To undertake this work Rob has validated methods to link and analyse large health and social care datasets to evaluate public health interventions targeted at these invisible populations.
Recently, Rob has been working on Coronavirus and is co-Chief Investigator for the Virus Watch study. Virus Watch has made a wide range of research contributions to the pandemic response. Using finger-prick blood tests collected by participants in their own homes, it has been possible to examine antibody responses following first and second doses of AstraZeneca and Pfizer vaccines, and investigate how antibodies wane over time. The research team has examined how levels of cough, fever, and sense of smell and/or taste have changed across the year, and they have conduct analyses looking at how socio-economic deprivation and exposure to public activities, occupation, and household overcrowding are all associated with the of risk of SARS-CoV-2. Virus Watch demonstrated early in 2021 how intention to be vaccinated in England and Wales was increasing rapidly over time. Data collected from participants who volunteered to use a mobile tracking app showed that they did not substantially change their travel patterns after being vaccinated.
Prior to setting up Virus Watch, Rob led a range of other analyses early in the pandemic including examining the seasonality and immunity to laboratory-confirmed seasonal coronaviruses; early estimates of the increased risk of death from COVID-19 in Black, Asian and Minority Ethnic groups in England; establishing the evidence for automated contact tracing mobile apps; investigating household transmission of seasonal coronavirus infections; and evaluating the impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates.
Rob's research aims to equitably improve the health of the public through the application of data science and public health research. The research group he leads in Public Health Data Science works towards this aim by using complex health data and digital interventions to equitably improve health. The research group consists of clinicians, computer scientists, epidemiologists, engineers, data scientists, anthropologists and public health experts. The group conducts its research in a transdisciplinary manner and co-produces it with policymakers and experts by experience.
A focus of Rob's work relates to making invisible populations visible by using data to understand the health needs of people experiencing homelessness, substance use, imprisonment, or migration. To undertake this work Rob has validated methods to link and analyse large health and social care datasets to evaluate public health interventions targeted at these invisible populations.
Recently, Rob has been working on Coronavirus and is co-Chief Investigator for the Virus Watch study. Virus Watch has made a wide range of research contributions to the pandemic response. Using finger-prick blood tests collected by participants in their own homes, it has been possible to examine antibody responses following first and second doses of AstraZeneca and Pfizer vaccines, and investigate how antibodies wane over time. The research team has examined how levels of cough, fever, and sense of smell and/or taste have changed across the year, and they have conduct analyses looking at how socio-economic deprivation and exposure to public activities, occupation, and household overcrowding are all associated with the of risk of SARS-CoV-2. Virus Watch demonstrated early in 2021 how intention to be vaccinated in England and Wales was increasing rapidly over time. Data collected from participants who volunteered to use a mobile tracking app showed that they did not substantially change their travel patterns after being vaccinated.
Prior to setting up Virus Watch, Rob led a range of other analyses early in the pandemic including examining the seasonality and immunity to laboratory-confirmed seasonal coronaviruses; early estimates of the increased risk of death from COVID-19 in Black, Asian and Minority Ethnic groups in England; establishing the evidence for automated contact tracing mobile apps; investigating household transmission of seasonal coronavirus infections; and evaluating the impact of baseline cases of cough and fever on UK COVID-19 diagnostic testing rates.
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medrxiv(2024)
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crossref(2024)
Journal of Migration and Health (2024): 100218-100218
Wellbeing, Space and Society (2024): 100192
Nature Human Behaviourno. 2 (2024): 399-399
International journal of population data scienceno. 1 (2024): 2181-2181
Open Heartno. 1 (2023): e002235-e002235
Journal of epidemiology and community healthno. 10 (2023): 649-655
medRxiv (Cold Spring Harbor Laboratory) (2023)
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NIHR Open Research (2023)
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