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26. A reference human induced pluripotent stem cell line for large-scale collaborative studies.

Author

Pantazis, Caroline, Yang, Andrian, Lara, Erika, McDonough, Justin, Blauwendraat, Cornelis, Peng, Lirong, Oguro, Hideyuki, Kanaujiya, Jitendra, Zou, Jizhong, Sebesta, David, Pratt, Gretchen, Cross, Erin, Blockwick, Jeffrey, Buxton, Philip, Kinner-Bibeau, Lauren, Medura, Constance, Tompkins, Christopher, Hughes, Stephen, Santiana, Marianita, Faghri, Faraz, Nalls, Mike, Vitale, Daniel, Ballard, Shannon, Qi, Yue, Ramos, Daniel, Anderson, Kailyn, Stadler, Julia, Narayan, Priyanka, Papademetriou, Jason, Reilly, Luke, Nelson, Matthew, Aggarwal, Sanya, Rosen, Leah, Kirwan, Peter, Pisupati, Venkat, Coon, Steven, Scholz, Sonja, Priebe, Theresa, Öttl, Miriam, Dong, Jian, Meijer, Marieke, Janssen, Lara, Lourenco, Vanessa, van der Kant, Rik, Crusius, Dennis, Paquet, Dominik, Raulin, Ana-Caroline, Bu, Guojun, Held, Aaron, Wainger, Brian, Gabriele, Rebecca, Casey, Jackie, Wray, Selina, Abu-Bonsrah, Dad, Parish, Clare, Beccari, Melinda, Cleveland, Don, Li, Emmy, Rose, Indigo, Kampmann, Martin, Calatayud Aristoy, Carles, Verstreken, Patrik, Heinrich, Laurin, Chen, Max, Schüle, Birgitt, Dou, Dan, Holzbaur, Erika, Zanellati, Maria, Basundra, Richa, Deshmukh, Mohanish, Cohen, Sarah, Khanna, Richa, Raman, Malavika, Nevin, Zachary, Matia, Madeline, Van Lent, Jonas, Timmerman, Vincent, Conklin, Bruce, Johnson Chase, Katherine, Zhang, Ke, Funes, Salome, Bosco, Daryl, Erlebach, Lena, Welzer, Marc, Kronenberg-Versteeg, Deborah, Lyu, Guochang, Arenas, Ernest, Coccia, Elena, Sarrafha, Lily, Ahfeldt, Tim, Marioni, John, Skarnes, William, Cookson, Mark, Ward, Michael, and Merkle, Florian

Subjects
CRISPR, differentiation, iPSC, karyotype, p53, pluripotent, reference, single-cell, stem cell, whole-genome, Humans, Induced Pluripotent Stem Cells, Cell Differentiation, Gene Editing, Biological Assay
Abstract

Human induced pluripotent stem cell (iPSC) lines are a powerful tool for studying development and disease, but the considerable phenotypic variation between lines makes it challenging to replicate key findings and integrate data across research groups. To address this issue, we sub-cloned candidate human iPSC lines and deeply characterized their genetic properties using whole genome sequencing, their genomic stability upon CRISPR-Cas9-based gene editing, and their phenotypic properties including differentiation to commonly used cell types. These studies identified KOLF2.1J as an all-around well-performing iPSC line. We then shared KOLF2.1J with groups around the world who tested its performance in head-to-head comparisons with their own preferred iPSC lines across a diverse range of differentiation protocols and functional assays. On the strength of these findings, we have made KOLF2.1J and its gene-edited derivative clones readily accessible to promote the standardization required for large-scale collaborative science in the stem cell field.

Published
2022

27. Protection of vaccine boosters and prior infection against mild/asymptomatic and moderate COVID-19 infection in the UK SIREN healthcare worker cohort: October 2023 to March 2024

Author

Kirwan, Peter D., Foulkes, Sarah, Munro, Katie, Sparkes, Dominic, Singh, Jasleen, Henry, Amanda, Dunne, Angela, Timeyin, Jean, Russell, Sophie, Khawam, Jameel, Blick, Debbie, Otter, Ashley D., Hettiarachchi, Nipunadi, Cairns, Michelle D., Jackson, Christopher H., Seaman, Shaun, Brown, Colin S., Atti, Ana, Islam, Jasmin, Charlett, Andre, De Angelis, Daniela, Presanis, Anne M., Hall, Victoria J., and Hopkins, Susan

Published
2024
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28. A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19

Author

Jackson, Christopher, Tom, Brian, Kirwan, Peter, Mandal, Sema, Seaman, Shaun, Kunzmann, Kevin, Presanis, Anne, and De Angelis, Daniela

Subjects
Statistics - Methodology
Abstract

We compare two multi-state modelling frameworks that can be used to represent dates of events following hospital admission for people infected during an epidemic. The methods are applied to data from people admitted to hospital with COVID-19, to estimate the probability of admission to ICU, the probability of death in hospital for patients before and after ICU admission, the lengths of stay in hospital, and how all these vary with age and gender. One modelling framework is based on defining transition-specific hazard functions for competing risks. A less commonly used framework defines partially-latent subpopulations who will experience each subsequent event, and uses a mixture model to estimate the probability that an individual will experience each event, and the distribution of the time to the event given that it occurs. We compare the advantages and disadvantages of these two frameworks, in the context of the COVID-19 example. The issues include the interpretation of the model parameters, the computational efficiency of estimating the quantities of interest, implementation in software and assessing goodness of fit. In the example, we find that some groups appear to be at very low risk of some events, in particular ICU admission, and these are best represented by using "cure-rate" models to define transition-specific hazards. We provide general-purpose software to implement all the models we describe in the "flexsurv" R package, which allows arbitrarily-flexible distributions to be used to represent the cause-specific hazards or times to events.

Published
2022
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30. Trends in COVID-19 hospital outcomes in England before and after vaccine introduction, a cohort study

Author

Kirwan, Peter, Charlett, Andre, Birrell, Paul, Elgohari, Suzanne, Hope, Russell, Mandal, Sema, De Angelis, Daniela, and Presanis, Anne

Subjects
Statistics - Applications
Abstract

Widespread vaccination campaigns have changed the landscape for COVID-19, vastly altering symptoms and reducing morbidity and mortality. We estimate trends in mortality by month of admission and vaccination status among those hospitalised with COVID-19 in England between March 2020 to September 2021, controlling for demographic factors and hospital load. Among 259,727 hospitalised COVID-19 cases, 51,948 (20.0%) experienced mortality in hospital. Hospitalised fatality risk ranged from 40.3% (95% confidence interval 39.4-41.3%) in March 2020 to 8.1% (7.2-9.0%) in June 2021. Older individuals and those with multiple co-morbidities were more likely to die or else experienced longer stays prior to discharge. Compared to unvaccinated people, the hazard of hospitalised mortality was 0.71 (0.67-0.77) with a first vaccine dose, and 0.56 (0.52-0.61) with a second vaccine dose. Compared to hospital load at 0-20% of the busiest week, the hazard of hospitalised mortality during periods of peak load (90-100%), was 1.23 (1.12-1.34). The prognosis for people hospitalised with COVID-19 in England has varied substantially throughout the pandemic and according to case-mix, vaccination, and hospital load. Our estimates provide an indication for demands on hospital resources, and the relationship between hospital burden and outcomes.

Published
2021
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31. Trends in risks of severe events and lengths of stay for COVID-19 hospitalisations in England over the pre-vaccination era: results from the Public Health England SARI-Watch surveillance scheme

Author

Kirwan, Peter D., Elgohari, Suzanne, Jackson, Christopher H., Tom, Brian D. M., Mandal, Sema, De Angelis, Daniela, and Presanis, Anne M.

Subjects
Statistics - Applications
Abstract

Background: Trends in hospitalised case-fatality risk (HFR), risk of intensive care unit (ICU) admission and lengths of stay for patients hospitalised for COVID-19 in England over the pre-vaccination era are unknown. Methods: Data on hospital and ICU admissions with COVID-19 at 31 NHS trusts in England were collected by Public Health England's Severe Acute Respiratory Infections surveillance system and linked to death information. We applied parametric multi-state mixture models, accounting for censored outcomes and regressing risks and times between events on month of admission, geography, and baseline characteristics. Findings: 20,785 adults were admitted with COVID-19 in 2020. Between March and June/July/August estimated HFR reduced from 31.9% (95% confidence interval 30.3-33.5%) to 10.9% (9.4-12.7%), then rose steadily from 21.6% (18.4-25.5%) in September to 25.7% (23.0-29.2%) in December, with steeper increases among older patients, those with multi-morbidity and outside London/South of England. ICU admission risk reduced from 13.9% (12.8-15.2%) in March to 6.2% (5.3-7.1%) in May, rising to a high of 14.2% (11.1-17.2%) in September. Median length of stay in non-critical care increased during 2020, from 6.6 to 12.3 days for those dying, and from 6.1 to 9.3 days for those discharged. Interpretation: Initial improvements in patient outcomes, corresponding to developments in clinical practice, were not sustained throughout 2020, with HFR in December approaching the levels seen at the start of the pandemic, whilst median hospital stays have lengthened. The role of increased transmission, new variants, case-mix and hospital pressures in increasing COVID-19 severity requires urgent further investigation., Comment: 45 pages, 12 figures

Published
2021

32. Effect of second booster vaccinations and prior infection against SARS-CoV-2 in the UK SIREN healthcare worker cohort

Author

Lewis, Tracy, Bain, Steve, Thomas, Rebeccah, Geen, John, Pothecary, Carla, Cutler, Sean, Northfield, John, Price, Cathy, Tomlinson, Johanne, Knight, Sarah, Macnaughton, Emily, Watson, Ekaterina, Lazarus, Rajeka, Sinclair, Aaran, Galliford, Joanne, Masunda, Bridgett, Mahungu, Tabitha, Rodger, Alison, Hanison, Esther, Warren, Simon, Jain, Swati, Mirfenderesky, Mariyam, Mahabir, Natasha, Pritchard-Jones, Rowan, Wycherley, Diane, Gabriel, Claire, Matovu, Elijah, Bakker, Philippa, Guha, Simantee, Gormley, S., Pethick, James, Butt, Georgina, Pepper, Stacey, Bedford, Luke, Ridley, Paul, Democratis, Jane, Meda, Manjula, Chawla, Anu, Westwell, Fran, Kalakonda, Nagesh, Khanduri, Sheena, Doel, Allison, Pai, Sumita, Hacon, Christian, Nwaka, Davis, Moro, Veronica Mendez, Moody, A., Auckland, Cressida, Prince, Stephanie, de Silva, Thushan, Shulver, Helen, Shah, A., Jones, C., Subhro-Osuji, Banerjee, Houston, Angela, Planche, Tim, Booth, Martin, Duff, Christopher, Aeron-Thomas, Jonnie, Chaudhuri, Ray, Hilton, David, Jory, Hannah, Al-Khafaji, Zehra'a, Kemsley, Philippa, Longfellow, Ruth, Boss, David, Brake, Simon, Coke, Louise, Elumogo, Ngozi, Latham, Scott, Subudhi, Chinari, Hoad, Ina, Thomas, Claire, Chitalia, Nihil, Edmunds, Tracy, Ashby, Helen, Elliott, John, Wilkinson, Beverley, Rand, Abby, Thompson, Catherine, Agwuh, K., Grice, Anna, Moran, Kelly, Waykar, Vijayendra, Lester, Yvonne, Sach, Lauren, Court, Kathryn, White, Nikki, Favager, Clair, Holliday, Kyra, Harwood, Jayne, Payne, Brendan, Burns, Karen, Fothergill, Lynda, Arenas-Pinto, Alejandro, Severn, Abigail, Brown, Kerryanne, Gray, Katherine, Dare, Jane, Zheng, Qi, Hollinshead, Kathryn, Shorten, Robert, Roebuck, Alun, Holmes, Christopher, Wiselka, Martin, Faris, Barzo, Marsh, Liane, McAdam, Clare, Ditchfield, Lisa, Qazzafi, Zaman, Boyd, G., Wong, N., Brand, Sarah, Squires, Jack, Ashcroft, John, Rosario, Ismaelette Del, Howard, Joanne, Ward, Emma, Harrison, Gemma, Morgan, Joely, Corless, Claire, Penn, Ruth, Wong, Nick, Bagary, Manny, Starkova, Nadezda, Beekes, Mandy, Carnahan, Mandy, Khan, Shivani, Mackay, Shekoo, Lewis, Keneisha, Pickard, Graham, Dawson, Joy, Finlayson, Lauren, Cameron, Euan, Todd, Anne, Fagegaltier, Sebastien, Mavin, Sally, Cochrane, Alexandra, Gibson, Andrew, Donaldson, Sam, Templeton, Kate, Malcolm, Martin, Smith, Beth, Dhasmana, Devesh, Fowler, Susan, Ho, Antonia, Murphy, Michael, Beith, Claire, Patel, Manish, Boyd, Elizabeth, Irvine, Val, Grant, Alison, Temple-Purcell, Rebecca, Loughrey, Clodagh, Hanna, Elinor, Johnston, Frances, Boulos, Angel, Thompson, Fiona, Protaschik, Yuri, Regan, Susan, Donaghy, Tracy, O'Kane, Maurice, Akinbami, Omolola, Barbero, Paola, Brooks, Tim, Chand, Meera, Insalata, Ferdinando, Joshi, Palak, O'Connell, Anne-Marie, Ramsay, Mary, Saei, Ayoub, Zambon, Maria, Linley, Ezra, Tonge, Simon, Adaji, Enemona, Adebiyi, Omoyeni, Andrews, Nick, Conneely, Joanna, Conneely, Paul, Dunne, Angela, Dyer, Simone, Emmett, Hannah, Hettiarachchi, Nipunadi, Kapirial, Nishanthan, Khawam, Jameel, Monk, Edward, Russell, Sophie, Taylor-Kerr, Andrew, Timeyin, Jean, D'Arcangelo, Silvia, Rowe, Cathy, Semper, Amanda, Gallagher, Eileen, Kyffin, Robert, Cromey, Lisa, Areghan, Desmond, Bishop, Jennifer, Dembinsky, Melanie, Dobbie, Laura, Evans, Josie, Goldberg, David, Haahr, Lynne, Jorgenson, Annelysse, Matuluko, Ayodeji, Naismith, Laura, Nuryunarsih, Desy, Olaoye, Alexander, Plank, Caitlin, Price, Lesley, Sergenson, Nicole, Stewart, Sally, Telfer, Andrew, Weir, Jennifer, De Lacy, Ellen, Ellis, Yvette, Froude, Susannah, Stevens, Guy, Tyson, Linda, Dunachie, Susanna, Klenerman, Paul, Duncan, Chris, Payne, Rebecca, Turtle, Lance, Richter, Alex, De Silva, Thushan, Barnes, Eleanor, Wootton, Daniel, Galgut, Oliver, Heeney, Jonathan, Baxendale, Helen, Castillo-Olivares, Javier, Beale, Rupert, Carr, Edward, Barclay, Wendy, Moshe, Maya, Palmarini, Massimo, Willett, Brian, Baillie, John Kenneth, Evans, Jennie, Aquino, Erika, Kirwan, Peter D., Hall, Victoria J., Foulkes, Sarah, Otter, Ashley D., Munro, Katie, Sparkes, Dominic, Howells, Anna, Platt, Naomi, Broad, Jonathan, Crossman, David, Norman, Chris, Corrigan, Diane, Jackson, Christopher H., Cole, Michelle, Brown, Colin S., Atti, Ana, Islam, Jasmin, Presanis, Anne M., Charlett, Andre, De Angelis, Daniela, and Hopkins, Susan

Published
2024
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33. Effectiveness of BNT162b2 mRNA vaccine third doses and previous infection in protecting against SARS-CoV-2 infections during the Delta and Omicron variant waves; the UK SIREN cohort study September 2021 to February 2022

Author

Hall, Victoria J., Insalata, Ferdinando, Foulkes, Sarah, Kirwan, Peter, Sparkes, Dominic, Atti, Ana, Cole, Michelle, de Lacy, Elen, Price, Lesley, Corrigan, Diane, Brown, Colin S., Islam, Jasmin, Charlett, Andre, and Hopkins, Susan

Published
2024
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35. HIV transmission in men who have sex with men in England: on track for elimination by 2030?

Author

Brizzi, Francesco, Birrell, Paul J, Kirwan, Peter, Ogaz, Dana, Brown, Alison E, Delpech, Valerie C, Gill, O Noel, and De Angelis, Daniela

Subjects
Quantitative Biology - Quantitative Methods
Abstract

Background: After a decade of a treatment as prevention (TasP) strategy based on progressive HIV testing scale-up and earlier treatment, a reduction in the estimated number of new infections in men-who-have-sex-with-men (MSM) in England had yet to be identified by 2010. To achieve internationally agreed targets for HIV control and elimination, test-and-treat prevention efforts have been dramatically intensified over the period 2010-2015, and, from 2016, further strengthened by pre-exposure prophylaxis (PrEP). Methods: Application of a novel age-stratified back-calculation approach to data on new HIV diagnoses and CD4 count-at-diagnosis, enabled age-specific estimation of HIV incidence, undiagnosed infections and mean time-to-diagnosis across both the 2010-2015 and 2016-2018 periods. Estimated incidence trends were then extrapolated, to quantify the likelihood of achieving HIV elimination by 2030. Findings: A fall in HIV incidence in MSM is estimated to have started in 2012/3, eighteen months before the observed fall in new diagnoses. A steep decrease from 2,770 annual infections (95% credible interval 2.490-3,040) in 2013 to 1,740 (1,500-2,010) in 2015 is estimated, followed by steady decline from 2016, reaching 854 (441-1,540) infections in 2018. A decline is consistently estimated in all age groups, with a fall particularly marked in the 24-35 age group, and slowest in the 45+ group. Comparable declines are estimated in the number of undiagnosed infections. Interpretation: The peak and subsequent sharp decline in HIV incidence occurred prior to the phase-in of PrEP. Definining elimination as a public health threat to be < 50 new infections (1.1 infections per 10,000 at risk), 40% of incidence projections hit this threshold by 2030. In practice, targeted policies will be required, particularly among the 45+y where STIs are increasing most rapidly., Comment: 20 pages, 5 figures

Published
2020

37. Implications for HIV elimination by 2030 of recent trends in undiagnosed infection in England: an evidence synthesis

Author

Presanis, Anne M, Kirwan, Peter, Miltz, Ada, Croxford, Sara, Harris, Ross, Heinsbroek, Ellen, Jackson, Chris, Mohammed, Hamish, Brown, Alison, Delpech, Valerie, Gill, O Noel, and De Angelis, Daniela

Subjects
Statistics - Applications
Abstract

A target to eliminate Human Immuno-deficiency Virus (HIV) transmission in England by 2030 was set in early 2019. Estimates of recent trends in HIV prevalence, particularly the number of people living with undiagnosed HIV, by exposure group, ethnicity, gender, age group and region, are essential to monitor progress towards elimination. A Bayesian synthesis of evidence from multiple surveillance, demographic and survey datasets relevant to HIV in England is employed to estimate trends in: the number of people living with HIV (PLWH); the proportion of these people unaware of their HIV infection; and the corresponding prevalence of undiagnosed HIV. All estimates are stratified by exposure group, ethnicity, gender, age group (15-34, 35-44, 45-59, 60-74), region (London, outside London) and year (2012-2017). The total number of PLWH aged 15-74 in England increased from 82,400 (95% credible interval, CrI, 78,700 to 89,100) in 2012 to 89,500 (95% CrI 87,400 to 93,300) in 2017. The proportion diagnosed steadily increased from 84% (95% CrI 77 to 88%) to 92% (95% CrI 89 to 94%) over the same time period, corresponding to a halving in the number of undiagnosed infections from 13,500 (95% CrI 9,800 to 20,200) to 6,900 (95% CrI 4,900 to 10,700). This decrease is equivalent to a halving in prevalence of undiagnosed infection and is reflected in all sub-groups of gay, bisexual and other men who have sex with men and most sub-groups of black African heterosexuals. However, decreases were not detected for some sub-groups of other ethnicity heterosexuals, particularly outside London. In 2016, the Joint United Nations Programme on HIV/ AIDS target of diagnosing 90% of people living with HIV was reached in England. To achieve HIV elimination by 2030, current testing efforts should be enhanced to address the numbers of heterosexuals living with undiagnosed HIV, especially outside London.

Published
2019

39. Free HIV self-test for identification and linkage to care of previously undetected HIV infection in men who have sex with men in England and Wales (SELPHI): an open-label, internet-based, randomised controlled trial

Author

Rodger, Alison J, McCabe, Leanne, Phillips, Andrew N, Lampe, Fiona C, Burns, Fiona, Ward, Denise, Delpech, Valerie, Weatherburn, Peter, Witzel, T Charles, Pebody, Roger, Kirwan, Peter, Gabriel, Michelle, Khawam, Jameel, Brady, Michael, Fenton, Kevin A, Trevelion, Roy, Collaco-Moraes, Yolanda, McCormack, Sheena, and Dunn, David

Published
2022
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44. Changes in in-hospital mortality in the first wave of COVID-19: a multicentre prospective observational cohort study using the WHO Clinical Characterisation Protocol UK

Author

Baillie, J Kenneth, Semple, Malcolm G, Openshaw, Peter JM, Carson, Gail, Alex, Beatrice, Bach, Benjamin, Barclay, Wendy S, Bogaert, Debby, Chand, Meera, Cooke, Graham S, Docherty, Annemarie B, Dunning, Jake, da Silva Filipe, Ana, Fletcher, Tom, Green, Christopher A, Harrison, Ewen M, Hiscox, Julian A, Ho, Antonia YW, Horby, Peter W, Ijaz, Samreen, Khoo, Say, Klenerman, Paul, Law, Andrew, Lim, Wei Shen, Mentzer, Alexander J, Merson, Laura, Meynert, Alison M, Noursadeghi, Mahdad, Moore, Shona C, Palmarini, Massimo, Paxton, William A, Pollakis, Georgios, Price, Nicholas, Rambaut, Andrew, Robertson, David L, Russell, Clark D, Sancho-Shimizu, Vanessa, Scott, Janet T, de Silva, Thushan, Sigfrid, Louise, Solomon, Tom, Sriskandan, Shiranee, Stuart, David, Summers, Charlotte, Tedder, Richard S, Thomson, Emma C, Thompson, AA Roger, Thwaites, Ryan S, Turtle, Lance CW, Gupta, Rishi K, Palmieri, Carlo, Zambon, Maria, Hardwick, Hayley, Donohue, Chloe, Lyons, Ruth, Griffiths, Fiona, Oosthuyzen, Wilna, Norman, Lisa, Pius, Riinu, Drake, Thomas M, Fairfield, Cameron J, Knight, Stephen R, Mclean, Kenneth A, Murphy, Derek, Shaw, Catherine A, Dalton, Jo, Girvan, Michelle, Saviciute, Egle, Roberts, Stephanie, Harrison, Janet, Marsh, Laura, Connor, Marie, Halpin, Sophie, Jackson, Clare, Gamble, Carrol, Leeming, Gary, Wham, Murray, Clohisey, Sara, Hendry, Ross, Scott-Brown, James, Greenhalf, William, Shaw, Victoria, McDonald, Sarah E, Keating, Seán, Ahmed, Katie A, Armstrong, Jane A, Ashworth, Milton, Asiimwe, Innocent G, Bakshi, Siddharth, Barlow, Samantha L, Booth, Laura, Brennan, Benjamin, Bullock, Katie, Catterall, Benjamin WA, Clark, Jordan J, Clarke, Emily A, Cole, Sarah, Cooper, Louise, Cox, Helen, Davis, Christopher, Dincarslan, Oslem, Dunn, Chris, Dyer, Philip, Elliott, Angela, Evans, Anthony, Finch, Lorna, Fisher, Lewis WS, Foster, Terry, Garcia-Dorival, Isabel, Gunning, Philip, Hartley, Catherine, Jensen, Rebecca L, Jones, Christopher B, Jones, Trevor R, Khandaker, Shadia, King, Katharine, Kiy, Robyn T, Koukorava, Chrysa, Lake, Annette, Lant, Suzannah, Latawiec, Diane, Lavelle-Langham, Lara, Lefteri, Daniella, Lett, Lauren, Livoti, Lucia A, Mancini, Maria, McDonald, Sarah, McEvoy, Laurence, McLauchlan, John, Metelmann, Soeren, Miah, Nahida S, Middleton, Joanna, Mitchell, Joyce, Murphy, Ellen G, Penrice-Randal, Rebekah, Pilgrim, Jack, Prince, Tessa, Reynolds, Will, Ridley, P. Matthew, Sales, Debby, Shaw, Victoria E, Shears, Rebecca K, Small, Benjamin, Subramaniam, Krishanthi S, Szemiel, Agnieska, Taggart, Aislynn, Tanianis-Hughes, Jolanta, Thomas, Jordan, Trochu, Erwan, van Tonder, Libby, Wilcock, Eve, Zhang, J. Eunice, Flaherty, Lisa, Maziere, Nicole, Cass, Emily, Doce Carracedo, Alejandra, Carlucci, Nicola, Holmes, Anthony, Massey, Hannah, Murphy, Lee, Wrobel, Nicola, McCafferty, Sarah, Morrice, Kirstie, MacLean, Alan, Adeniji, Kayode, Agranoff, Daniel, Agwuh, Ken, Ail, Dhiraj, Aldera, Erin L, Alegria, Ana, Angus, Brian, Ashish, Abdul, Atkinson, Dougal, Bari, Shahedal, Barlow, Gavin, Barnass, Stella, Barrett, Nicholas, Bassford, Christopher, Basude, Sneha, Baxter, David, Beadsworth, Michael, Bernatoniene, Jolanta, Berridge, John, Best, Nicola, Bothma, Pieter, Chadwick, David, Brittain-Long, Robin, Bulteel, Naomi, Burden, Tom, Burtenshaw, Andrew, Caruth, Vikki, Chambler, Duncan, Chee, Nigel, Child, Jenny, Chukkambotla, Srikanth, Clark, Tom, Collini, Paul, Cosgrove, Catherine, Cupitt, Jason, Cutino-Moguel, Maria-Teresa, Dark, Paul, Dawson, Chris, Dervisevic, Samir, Donnison, Phil, Douthwaite, Sam, DuRand, Ingrid, Dushianthan, Ahilanadan, Dyer, Tristan, Evans, Cariad, Eziefula, Chi, Fegan, Chrisopher, Finn, Adam, Fullerton, Duncan, Garg, Sanjeev, Garg, Atul, Gkrania-Klotsas, Effrossyni, Godden, Jo, Goldsmith, Arthur, Graham, Clive, Hardy, Elaine, Hartshorn, Stuart, Harvey, Daniel, Havalda, Peter, Hawcutt, Daniel B, Hobrok, Maria, Hodgson, Luke, Hormis, Anil, Jacobs, Michael, Jain, Susan, Jennings, Paul, Kaliappan, Agilan, Kasipandian, Vidya, Kegg, Stephen, Kelsey, Michael, Kendall, Jason, Kerrison, Caroline, Kerslake, Ian, Koch, Oliver, Koduri, Gouri, Koshy, George, Laha, Shondipon, Laird, Steven, Larkin, Susan, Leiner, Tamas, Lillie, Patrick, Limb, James, Linnett, Vanessa, Little, Jeff, Lyttle, Mark, MacMahon, Michael, MacNaughton, Emily, Mankregod, Ravish, Masson, Huw, Matovu, Elijah, McCullough, Katherine, McEwen, Ruth, Meda, Manjula, Mills, Gary, Minton, Jane, Mirfenderesky, Mariyam, Mohandas, Kavya, Mok, Quen, Moon, James, Moore, Elinoor, Morgan, Patrick, Morris, Craig, Mortimore, Katherine, Moses, Samuel, Mpenge, Mbiye, Mulla, Rohinton, Murphy, Michael, Nagel, Megan, Nagarajan, Thapas, Nelson, Mark, O'Shea, Matthew K, Otahal, Igor, Ostermann, Marlies, Pais, Mark, Panchatsharam, Selva, Papakonstantinou, Danai, Paraiso, Hassan, Patel, Brij, Pattison, Natalie, Pepperell, Justin, Peters, Mark, Phull, Mandeep, Pintus, Stefania, Singh Pooni, Jagtur, Post, Frank, Price, David, Prout, Rachel, Rae, Nikolas, Reschreiter, Henrik, Reynolds, Tim, Richardson, Neil, Roberts, Mark, Roberts, Devender, Rose, Alistair, Rousseau, Guy, Ryan, Brendan, Saluja, Taranprit, Shah, Aarti, Shanmuga, Prad, Sharma, Anil, Shawcross, Anna, Sizer, Jeremy, Shankar-Hari, Manu, Smith, Richard, Snelson, Catherine, Spittle, Nick, Staines, Nikki, Stambach, Tom, Stewart, Richard, Subudhi, Pradeep, Szakmany, Tamas, Tatham, Kate, Thomas, Jo, Thompson, Chris, Thompson, Robert, Tridente, Ascanio, Tupper-Carey, Darell, Twagira, Mary, Ustianowski, Andrew, Vallotton, Nick, Vincent-Smith, Lisa, Visuvanathan, Shico, Vuylsteke, Alan, Waddy, Sam, Wake, Rachel, Walden, Andrew, Welters, Ingeborg, Whitehouse, Tony, Whittaker, Paul, Whittington, Ashley, Papineni, Padmasayee, Wijesinghe, Meme, Williams, Martin, Wilson, Lawrence, Sarah, Sarah, Winchester, Stephen, Wiselka, Martin, Wolverson, Adam, Wooton, Daniel G, Workman, Andrew, Yates, Bryan, Young, Peter, Mulholland, Rachel H, Lone, Nazir I, Cheyne, Christopher P, De Angelis, Daniela, Diaz-Ordaz, Karla, Donegan, Cara, Funk, Sebastian, García-Fiñana, Marta, Hardwick, Hayley E, Ho, Antonia, Hughes, David M, Keogh, Ruth H, Kirwan, Peter D, Nguyen Van-Tam, Jonathan S, Spencer, Rebecca G, Tom, Brian DM, and Turtle, Lance

Published
2021
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49. SARS-CoV-2 infection rates of antibody-positive compared with antibody-negative health-care workers in England: a large, multicentre, prospective cohort study (SIREN)

Author

Andrews, N, Atti, A, Aziz, H, Brooks, T, Brown, CS, Camero, D, Carr, C, Chand, MA, Charlett, A, Crawford, H, Cole, M, Conneely, J, D'Arcangelo, S, Ellis, J, Evans, S, Foulkes, S, Gillson, N, Gopal, R, Hall, L, Hall, VJ, Harrington, P, Hopkins, S, Hewson, J, Hoschler, K, Ironmonger, D, Islam, J, Kall, M, Karagiannis, I, Kay, O, Khawam, J, King, E, Kirwan, P, Kyffin, R, Lackenby, A, Lattimore, M, Linley, E, Lopez-Bernal, J, Mabey, L, McGregor, R, Miah, S, Monk, EJM, Munro, K, Naheed, Z, Nissr, A, O'Connell, AM, Oguti, B, Okafor, H, Organ, S, Osbourne, J, Otter, A, Patel, M, Platt, S, Pople, D, Potts, K, Ramsay, M, Robotham, J, Rokadiya, S, Rowe, C, Saei, A, Sebbage, G, Semper, A, Shrotri, M, Simmons, R, Soriano, A, Staves, P, Taylor, S, Taylor, A, Tengbe, A, Tonge, S, Vusirikala, A, Wallace, S, Wellington, E, Zambon, M, Corrigan, D, Sartaj, M, Cromey, L, Campbell, S, Braithwaite, K, Price, L, Haahr, L, Stewart, S, Lacey, ED, Partridge, L, Stevens, G, Ellis, Y, Hodgson, H, Norman, C, Larru, B, Mcwilliam, S, Winchester, S, Cieciwa, P, Pai, A, Loughrey, C, Watt, A, Adair, F, Hawkins, A, Grant, A, Temple-Purcell, R, Howard, J, Slawson, N, Subudhi, C, Davies, S, Bexley, A, Penn, R, Wong, N, Boyd, G, Rajgopal, A, Arenas-Pinto, A, Matthews, R, Whileman, A, Laugharne, R, Ledger, J, Barnes, T, Jones, C, Botes, D, Chitalia, N, Akhtar, S, Harrison, G, Horne, S, Walker, N, Agwuh, K, Maxwell, V, Graves, J, Williams, S, O'Kelly, A, Ridley, P, Cowley, A, Johnstone, H, Swift, P, Democratis, J, Meda, M, Callens, C, Beazer, S, Hams, S, Irvine, V, Chandrasekaran, B, Forsyth, C, Radmore, J, Thomas, C, Brown, K, Roberts, S, Burns, P, Gajee, K, Byrne, TM, Sanderson, F, Knight, S, Macnaughton, E, Burton, BJL, Smith, H, Chaudhuri, R, Hollinshead, K, Shorten, RJ, Swan, A, Favager, C, Murira, J, Baillon, S, Hamer, S, Gantert, K, Russell, J, Brennan, D, Dave, A, Chawla, A, Westell, F, Adeboyeku, D, Papineni, P, Pegg, C, Williams, M, Ahmad, S, Ingram, S, Gabriel, C, Pagget, K, Maloney, G, Ashcroft, J, Del Rosario, I, Crosby-Nwaobi, R, Reeks, C, Fowler, S, Prentice, L, Spears, M, McKerron, G, McLelland-Brooks, K, Anderson, J, Donaldson, S, Templeton, K, Coke, L, Elumogo, N, Elliott, J, Padgett, D, Mirfenderesky, M, Cross, A, Price, J, Joyce, S, Sinanovic, I, Howard, M, Lewis, T, Cowling, P, Potoczna, D, Brand, S, Sheridan, L, Wadams, B, Lloyd, A, Mouland, J, Giles, J, Pottinger, G, Coles, H, Joseph, M, Lee, M, Orr, S, Chenoweth, H, Auckland, C, Lear, R, Mahungu, T, Rodger, A, Penny-Thomas, K, Pai, S, Zamikula, J, Smith, E, Stone, S, Boldock, E, Howcroft, D, Thompson, C, Aga, M, Domingos, P, Gormley, S, Kerrison, C, Marsh, L, Tazzyman, S, Allsop, L, Ambalkar, S, Beekes, M, Jose, S, Tomlinson, J, Jones, A, Price, C, Pepperell, J, Schultz, M, Day, J, Boulos, A, Defever, E, McCracken, D, Gray, K, Houston, A, Planche, T, Pritchard Jones, R, Wycherley, Diane, Bennett, S, Marrs, J, Nimako, K, Stewart, B, Kalakonda, N, Khanduri, S, Ashby, A, Holden, M, Mahabir, N, Harwood, J, Payne, B, Court, K, Staines, N, Longfellow, R, Green, ME, Hughes, LE, Halkes, M, Mercer, P, Roebuck, A, Wilson-Davies, E, Gallego, L, Lazarus, R, Aldridge, N, Berry, L, Game, F, Reynolds, T, Holmes, C, Wiselka, M, Higham, A, Booth, M, Duff, C, Alderton, J, Jory, H, Virgilio, E, Chin, T, Qazzafi, MZ, Moody, AM, Tilley, R, Donaghy, T, Shipman, K, Sierra, R, Jones, N, Mills, G, Harvey, D, Huang, YWJ, Birch, J, Robinson, L, Board, S, Broadley, A, Laven, C, Todd, N, Eyre, DW, Jeffery, K, Dunachie, S, Duncan, C, Klenerman, P, Turtle, L, De Silva, T, Baxendale, H, Heeney, JL, Hall, Victoria Jane, Foulkes, Sarah, Charlett, Andre, Atti, Ana, Monk, Edward J M, Simmons, Ruth, Wellington, Edgar, Cole, Michelle J, Saei, Ayoub, Oguti, Blanche, Munro, Katie, Wallace, Sarah, Kirwan, Peter D, Shrotri, Madhumita, Vusirikala, Amoolya, Rokadiya, Sakib, Kall, Meaghan, Zambon, Maria, Ramsay, Mary, Brooks, Tim, Brown, Colin S, Chand, Meera A, and Hopkins, Susan

Published
2021
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50. Effect of second booster vaccinations and prior infection against SARS-CoV-2 in the UK SIREN healthcare worker cohort

Author

Kirwan, Peter D., primary, Hall, Victoria J., additional, Foulkes, Sarah, additional, Otter, Ashley D., additional, Munro, Katie, additional, Sparkes, Dominic, additional, Howells, Anna, additional, Platt, Naomi, additional, Broad, Jonathan, additional, Crossman, David, additional, Norman, Chris, additional, Corrigan, Diane, additional, Jackson, Christopher H., additional, Cole, Michelle, additional, Brown, Colin S., additional, Atti, Ana, additional, Islam, Jasmin, additional, Presanis, Anne M., additional, Charlett, Andre, additional, De Angelis, Daniela, additional, Hopkins, Susan, additional, Lewis, Tracy, additional, Bain, Steve, additional, Thomas, Rebeccah, additional, Geen, John, additional, Pothecary, Carla, additional, Cutler, Sean, additional, Northfield, John, additional, Price, Cathy, additional, Tomlinson, Johanne, additional, Knight, Sarah, additional, Macnaughton, Emily, additional, Watson, Ekaterina, additional, Lazarus, Rajeka, additional, Sinclair, Aaran, additional, Galliford, Joanne, additional, Masunda, Bridgett, additional, Mahungu, Tabitha, additional, Rodger, Alison, additional, Hanison, Esther, additional, Warren, Simon, additional, Jain, Swati, additional, Mirfenderesky, Mariyam, additional, Mahabir, Natasha, additional, Pritchard-Jones, Rowan, additional, Wycherley, Diane, additional, Gabriel, Claire, additional, Matovu, Elijah, additional, Bakker, Philippa, additional, Guha, Simantee, additional, Gormley, S., additional, Pethick, James, additional, Butt, Georgina, additional, Pepper, Stacey, additional, Bedford, Luke, additional, Ridley, Paul, additional, Democratis, Jane, additional, Meda, Manjula, additional, Chawla, Anu, additional, Westwell, Fran, additional, Kalakonda, Nagesh, additional, Khanduri, Sheena, additional, Doel, Allison, additional, Pai, Sumita, additional, Hacon, Christian, additional, Nwaka, Davis, additional, Moro, Veronica Mendez, additional, Moody, A., additional, Auckland, Cressida, additional, Prince, Stephanie, additional, de Silva, Thushan, additional, Shulver, Helen, additional, Shah, A., additional, Jones, C., additional, Subhro-Osuji, Banerjee, additional, Houston, Angela, additional, Planche, Tim, additional, Booth, Martin, additional, Duff, Christopher, additional, Aeron-Thomas, Jonnie, additional, Chaudhuri, Ray, additional, Hilton, David, additional, Jory, Hannah, additional, Al-Khafaji, Zehra'a, additional, Kemsley, Philippa, additional, Longfellow, Ruth, additional, Boss, David, additional, Brake, Simon, additional, Coke, Louise, additional, Elumogo, Ngozi, additional, Latham, Scott, additional, Subudhi, Chinari, additional, Hoad, Ina, additional, Thomas, Claire, additional, Chitalia, Nihil, additional, Edmunds, Tracy, additional, Ashby, Helen, additional, Elliott, John, additional, Wilkinson, Beverley, additional, Rand, Abby, additional, Thompson, Catherine, additional, Agwuh, K., additional, Grice, Anna, additional, Moran, Kelly, additional, Waykar, Vijayendra, additional, Lester, Yvonne, additional, Sach, Lauren, additional, Court, Kathryn, additional, White, Nikki, additional, Favager, Clair, additional, Holliday, Kyra, additional, Harwood, Jayne, additional, Payne, Brendan, additional, Burns, Karen, additional, Fothergill, Lynda, additional, Arenas-Pinto, Alejandro, additional, Severn, Abigail, additional, Brown, Kerryanne, additional, Gray, Katherine, additional, Dare, Jane, additional, Zheng, Qi, additional, Hollinshead, Kathryn, additional, Shorten, Robert, additional, Roebuck, Alun, additional, Holmes, Christopher, additional, Wiselka, Martin, additional, Faris, Barzo, additional, Marsh, Liane, additional, McAdam, Clare, additional, Ditchfield, Lisa, additional, Qazzafi, Zaman, additional, Boyd, G., additional, Wong, N., additional, Brand, Sarah, additional, Squires, Jack, additional, Ashcroft, John, additional, Rosario, Ismaelette Del, additional, Howard, Joanne, additional, Ward, Emma, additional, Harrison, Gemma, additional, Morgan, Joely, additional, Corless, Claire, additional, Penn, Ruth, additional, Wong, Nick, additional, Bagary, Manny, additional, Starkova, Nadezda, additional, Beekes, Mandy, additional, Carnahan, Mandy, additional, Khan, Shivani, additional, Mackay, Shekoo, additional, Lewis, Keneisha, additional, Pickard, Graham, additional, Dawson, Joy, additional, Finlayson, Lauren, additional, Cameron, Euan, additional, Todd, Anne, additional, Fagegaltier, Sebastien, additional, Mavin, Sally, additional, Cochrane, Alexandra, additional, Gibson, Andrew, additional, Donaldson, Sam, additional, Templeton, Kate, additional, Malcolm, Martin, additional, Smith, Beth, additional, Dhasmana, Devesh, additional, Fowler, Susan, additional, Ho, Antonia, additional, Murphy, Michael, additional, Beith, Claire, additional, Patel, Manish, additional, Boyd, Elizabeth, additional, Irvine, Val, additional, Grant, Alison, additional, Temple-Purcell, Rebecca, additional, Loughrey, Clodagh, additional, Hanna, Elinor, additional, Johnston, Frances, additional, Boulos, Angel, additional, Thompson, Fiona, additional, Protaschik, Yuri, additional, Regan, Susan, additional, Donaghy, Tracy, additional, O'Kane, Maurice, additional, Akinbami, Omolola, additional, Barbero, Paola, additional, Brooks, Tim, additional, Chand, Meera, additional, Insalata, Ferdinando, additional, Joshi, Palak, additional, O'Connell, Anne-Marie, additional, Ramsay, Mary, additional, Saei, Ayoub, additional, Zambon, Maria, additional, Linley, Ezra, additional, Tonge, Simon, additional, Adaji, Enemona, additional, Adebiyi, Omoyeni, additional, Andrews, Nick, additional, Conneely, Joanna, additional, Conneely, Paul, additional, Dunne, Angela, additional, Dyer, Simone, additional, Emmett, Hannah, additional, Hettiarachchi, Nipunadi, additional, Kapirial, Nishanthan, additional, Khawam, Jameel, additional, Monk, Edward, additional, Russell, Sophie, additional, Taylor-Kerr, Andrew, additional, Timeyin, Jean, additional, D'Arcangelo, Silvia, additional, Rowe, Cathy, additional, Semper, Amanda, additional, Gallagher, Eileen, additional, Kyffin, Robert, additional, Cromey, Lisa, additional, Areghan, Desmond, additional, Bishop, Jennifer, additional, Dembinsky, Melanie, additional, Dobbie, Laura, additional, Evans, Josie, additional, Goldberg, David, additional, Haahr, Lynne, additional, Jorgenson, Annelysse, additional, Matuluko, Ayodeji, additional, Naismith, Laura, additional, Nuryunarsih, Desy, additional, Olaoye, Alexander, additional, Plank, Caitlin, additional, Price, Lesley, additional, Sergenson, Nicole, additional, Stewart, Sally, additional, Telfer, Andrew, additional, Weir, Jennifer, additional, De Lacy, Ellen, additional, Ellis, Yvette, additional, Froude, Susannah, additional, Stevens, Guy, additional, Tyson, Linda, additional, Dunachie, Susanna, additional, Klenerman, Paul, additional, Duncan, Chris, additional, Payne, Rebecca, additional, Turtle, Lance, additional, Richter, Alex, additional, De Silva, Thushan, additional, Barnes, Eleanor, additional, Wootton, Daniel, additional, Galgut, Oliver, additional, Heeney, Jonathan, additional, Baxendale, Helen, additional, Castillo-Olivares, Javier, additional, Beale, Rupert, additional, Carr, Edward, additional, Barclay, Wendy, additional, Moshe, Maya, additional, Palmarini, Massimo, additional, Willett, Brian, additional, Baillie, John Kenneth, additional, Evans, Jennie, additional, and Aquino, Erika, additional

Published
2024
Full Text
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