Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Tristan Millington"'
Autor:
Sarah J Aldridge, Utkarsh Agrawal, Siobhán Murphy, Tristan Millington, Ashley Akbari, Fatima Almaghrabi, Sneha N Anand, Stuart Bedston, Rosalind Goudie, Rowena Griffiths, Mark Joy, Emily Lowthian, Simon de Lusignan, Lynsey Patterson, Chris Robertson, Igor Rudan, Declan T Bradley, Ronan Lyons, Aziz Sheikh, Rhiannon K Owen
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Background and Objectives SARS-CoV-2 infection in children and young people (CYP) can lead to life threatening conditions including COVID-19, transmission to more vulnerable individuals, or even long COVID. Vaccination against COVID-19 reduces the ch
Externí odkaz:
https://doaj.org/article/0430ec251b5f46d190d1935b5c6aee09
Autor:
Sarah J. Aldridge, Utkarsh Agrawal, Siobhán Murphy, Tristan Millington, Ashley Akbari, Fatima Almaghrabi, Sneha N. Anand, Stuart Bedston, Rosalind Goudie, Rowena Griffiths, Mark Joy, Emily Lowthian, Simon de Lusignan, Lynsey Patterson, Chris Robertson, Igor Rudan, Declan T. Bradley, Ronan A. Lyons, Aziz Sheikh, Rhiannon K. Owen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract SARS-CoV-2 infection in children and young people (CYP) can lead to life-threatening COVID-19, transmission within households and schools, and the development of long COVID. Using linked health and administrative data, we investigated vaccin
Externí odkaz:
https://doaj.org/article/96b65530fa1d4c66a60e8ba6978b8460
Autor:
Karen Jeffrey, Lana Woolford, Rishma Maini, Siddharth Basetti, Ashleigh Batchelor, David Weatherill, Chris White, Vicky Hammersley, Tristan Millington, Calum Macdonald, Jennifer K. Quint, Robin Kerr, Steven Kerr, Syed Ahmar Shah, Igor Rudan, Adeniyi Francis Fagbamigbe, Colin R. Simpson, Srinivasa Vittal Katikireddi, Chris Robertson, Lewis Ritchie, Aziz Sheikh, Luke Daines
Publikováno v:
EClinicalMedicine, Vol 71, Iss , Pp 102590- (2024)
Summary: Background: Long COVID is a debilitating multisystem condition. The objective of this study was to estimate the prevalence of long COVID in the adult population of Scotland, and to identify risk factors associated with its development. Metho
Externí odkaz:
https://doaj.org/article/c1e6806f0ae24b9784ab3aaca0dacd2d
Autor:
Aziz Sheikh, Julia Hippisley-Cox, Chris Robertson, Holly Tibble, Colin R Simpson, Colin McCowan, Igor Rudan, Adeniyi Francis Fagbamigbe, Steven Kerr, Tristan Millington, Karen Jeffrey
Publikováno v:
BMJ Open, Vol 13, Iss 12 (2023)
Objective The QCovid 2 and 3 algorithms are risk prediction tools developed during the second wave of the COVID-19 pandemic that can be used to predict the risk of COVID-19 hospitalisation and mortality, taking vaccination status into account. In thi
Externí odkaz:
https://doaj.org/article/269b45203b704915a6d0e1383335ee68
Autor:
Igor Rudan, Tristan Millington, Karen Antal, Zoe Grange, Lynda Fenton, Christopher Sullivan, Audrey Buelo, Rachael Wood, Lana Woolford, Olivia V. Swann, Josephine L.K. Murray, Lucy A. Cullen, Emily Moore, Fasih Haider, Fatima Almaghrabi, Jim McMenamin, Utkarsh Agrawal, Syed Ahmar Shah, Steven Kerr, Colin R. Simpson, Srinivasa Vittal Katikireddi, Sir Lewis D. Ritchie, Chris Robertson, Sir Aziz Sheikh
Publikováno v:
The Lancet Regional Health. Europe, Vol 23, Iss , Pp 100513- (2022)
Summary: Background: The two-dose BNT162b2 (Pfizer-BioNTech) vaccine has demonstrated high efficacy against COVID-19 disease in clinical trials of children and young people (CYP). Consequently, we investigated the uptake, safety, effectiveness and wa
Externí odkaz:
https://doaj.org/article/6deacd18abeb445f8e00181001726739
Autor:
Tristan Millington, Mahesan Niranjan
Publikováno v:
Applied Network Science, Vol 5, Iss 1, Pp 1-19 (2020)
Abstract Correlation networks have been a popular way of inferring a financial network due to the simplicity of construction and the ease of interpretability. However two variables which share a common cause can be correlated, leading to the inferenc
Externí odkaz:
https://doaj.org/article/f13581a063a2435f9ace30cb1ade2fed
Autor:
Tristan Millington
Publikováno v:
PLoS ONE, Vol 17, Iss 9, p e0273830 (2022)
When studying financial markets, we often look at estimating a correlation matrix from asset returns. These tend to be noisy, with many more dimensions than samples, so often the resulting correlation matrix is filtered. Popular methods to do this in
Externí odkaz:
https://doaj.org/article/bf89a803bcf74ca18cfb7bf9d3d47754
Autor:
Tristan Millington, Saturnino Luz
Publikováno v:
Frontiers in Computer Science, Vol 3 (2021)
In this paper we construct word co-occurrence networks from transcript data of controls and patients with potential Alzheimer’s disease using the ADReSS challenge dataset of spontaneous speech. We examine measures of the structure of these networks
Externí odkaz:
https://doaj.org/article/006fdb9c472b4cc0896d769f933d85e0
Autor:
Pilar T V Florentino, Tristan Millington, Thiago Cerqueira-Silva, Chris Robertson, Vinicius de Araújo Oliveira, Juracy B S Júnior, Flávia J O Alves, Gerson O Penna, Srinivasa Vital Katikireddi, Viviane S Boaventura, Guilherme L Werneck, Neil Pearce, Colin McCowan, Christopher Sullivan, Utkarsh Agrawal, Zoe Grange, Lewis D Ritchie, Colin R Simpson, Aziz Sheikh, Mauricio L Barreto, Igor Rudan, Manoel Barral-Netto, Enny S Paixão
Publikováno v:
Florentino, P T V, Millington, T, Cerqueira-Silva, T, Robertson, C, de Araújo Oliveira, V, Júnior, J B S, Alves, F J O, Penna, G O, Vital Katikireddi, S, Boaventura, V S, Werneck, G L, Pearce, N, McCowan, C, Sullivan, C, Agrawal, U, Grange, Z, Ritchie, L D, Simpson, C R, Sheikh, A, Barreto, M L, Rudan, I, Barral-Netto, M & Paixão, E S 2022, ' Vaccine effectiveness of two-dose BNT162b2 against symptomatic and severe COVID-19 among adolescents in Brazil and Scotland over time: a test-negative case-control study ', The Lancet Infectious Diseases, vol. 22, no. 11, pp. 1577-1586 . https://doi.org/10.1016/S1473-3099(22)00451-0
VK is funded by an NHS Research Scotland Senior Clinical Fellowship (SCAF/15/02), the UK Medical Research Council (MC_UU_00022/2), and the Scottish Government Chief Scientist Office (SPHSU17). MB-N and VdAO are funded by the Fazer o Bem Faz Bem progr
Autor:
Karen Jeffrey, Lana Woolford, Rishma Maini, Siddharth Basetti, Ashleigh Batchelor, David Weatherill, Chris White, Vicky Hammersley, Tristan Millington, Calum Macdonald, Jennifer Quint, Robin Kerr, Steven Kerr, Syed Ahmar Shah, Adeniyi Francis Fagbamigbe, Colin Simpson, Srinivasa Vittal Katikireddi, Chris Robertson, Lewis D Ritchie, Aziz Sheikh, Luke Daines
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4ccfa887e53e3213d5fd6d5e9c0963e
https://doi.org/10.2139/ssrn.4376992
https://doi.org/10.2139/ssrn.4376992