Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jacob Curran-Sebastian"'
Autor:
Mark P. Khurana, Jacob Curran-Sebastian, Neil Scheidwasser, Christian Morgenstern, Morten Rasmussen, Jannik Fonager, Marc Stegger, Man-Hung Eric Tang, Jonas L. Juul, Leandro Andrés Escobar-Herrera, Frederik Trier Møller, The Danish COVID-19 Genome Consortium (DCGC), Mads Albertsen, Moritz U. G. Kraemer, Louis du Plessis, Pikka Jokelainen, Sune Lehmann, Tyra G. Krause, Henrik Ullum, David A. Duchêne, Laust H. Mortensen, Samir Bhatt
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract Vast amounts of pathogen genomic, demographic and spatial data are transforming our understanding of SARS-CoV-2 emergence and spread. We examined the drivers of molecular evolution and spread of 291,791 SARS-CoV-2 genomes from Denmark in 202
Externí odkaz:
https://doaj.org/article/64a2158399584da899153d9bb77e2d62
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The implementation of new antimicrobial resistance stewardship programs is crucial in optimizing antibiotic use. However, prescription choices can be difficult during empiric therapy; clinicians must balance the survival benefits of broader
Externí odkaz:
https://doaj.org/article/fb99f9838e924989a3c31526f550dee0
Autor:
Louise Dyson, Edward M. Hill, Sam Moore, Jacob Curran-Sebastian, Michael J. Tildesley, Katrina A. Lythgoe, Thomas House, Lorenzo Pellis, Matt J. Keeling
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Understanding the potential impacts of new variants of SARS-CoV-2 is important for pandemic planning. Here, the authors develop a model incorporating hypothetical new variants with varying transmissibility and immune evasion properties, and use it to
Externí odkaz:
https://doaj.org/article/716fad46c8014ae19187e56156f6edfe
Autor:
Bindu Vekaria, Christopher Overton, Arkadiusz Wiśniowski, Shazaad Ahmad, Andrea Aparicio-Castro, Jacob Curran-Sebastian, Jane Eddleston, Neil A Hanley, Thomas House, Jihye Kim, Wendy Olsen, Maria Pampaka, Lorenzo Pellis, Diego Perez Ruiz, John Schofield, Nick Shryane, Mark J. Elliot
Publikováno v:
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-15 (2021)
Abstract Background Predicting hospital length of stay (LoS) for patients with COVID-19 infection is essential to ensure that adequate bed capacity can be provided without unnecessarily restricting care for patients with other conditions. Here, we de
Externí odkaz:
https://doaj.org/article/473b6e13515c4bb79816ebd2569496cc
Autor:
Christopher E. Overton, Helena B. Stage, Shazaad Ahmad, Jacob Curran-Sebastian, Paul Dark, Rajenki Das, Elizabeth Fearon, Timothy Felton, Martyn Fyles, Nick Gent, Ian Hall, Thomas House, Hugo Lewkowicz, Xiaoxi Pang, Lorenzo Pellis, Robert Sawko, Andrew Ustianowski, Bindu Vekaria, Luke Webb
Publikováno v:
Infectious Disease Modelling, Vol 5, Iss , Pp 409-441 (2020)
During an infectious disease outbreak, biases in the data and complexities of the underlying dynamics pose significant challenges in mathematically modelling the outbreak and designing policy. Motivated by the ongoing response to COVID-19, we provide
Externí odkaz:
https://doaj.org/article/c8646a5225b54a4283b9e158732baa2b
Insights gained from early modelling of COVID-19 to inform the management of outbreaks in UK prisons
Autor:
Thomas Finnie, Lorenzo Pellis, Jacob Curran-Sebastian, Declan Bays, Oscar O'Mara, Phe Joint Modelling Team, Hannah Williams
Publikováno v:
Bays, D, Williams, H, Pellis, L, Curran-Sebastian, J, O'Mara, O, Team, P H E J M & Finnie, T 2021, ' Insights gained from early modelling of COVID-19 to inform the management of outbreaks in UK prisons ', International Journal of Prisoner Health, vol. 17, no. 3, pp. 380-397 . https://doi.org/10.1108/IJPH-09-2020-0075
International Journal of Prisoner Health
International Journal of Prisoner Health
Purpose In this work, the authors present some of the key results found during early efforts to model the COVID-19 outbreak inside a UK prison. In particular, this study describes outputs from an idealised disease model that simulates the dynamics of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5ea764b722d4c400fda195e100d4de2
https://www.research.manchester.ac.uk/portal/en/publications/insights-gained-from-early-modelling-of-covid19-to-inform-the-management-of-outbreaks-in-uk-prisons(2d397bfb-6c28-4062-9ea5-f6eb32fcf6de).html
https://www.research.manchester.ac.uk/portal/en/publications/insights-gained-from-early-modelling-of-covid19-to-inform-the-management-of-outbreaks-in-uk-prisons(2d397bfb-6c28-4062-9ea5-f6eb32fcf6de).html
Autor:
Matthew James Keeling, Lorenzo Pellis, Sam Moore, Michael J. Tildesley, Louise Dyson, Edward M. Hill, Jacob Curran-Sebastian, Thomas House, Katrina A. Lythgoe
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Viral reproduction of SARS-CoV-2 provides opportunities for the acquisition of advantageous mutations, altering viral transmissibility, disease severity, and/or allowing escape from natural or vaccine-derived immunity. We use three mathematical model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee68f16a150e2e8d3b5e82a30da993ca
https://pubmed.ncbi.nlm.nih.gov/34593807
https://pubmed.ncbi.nlm.nih.gov/34593807
Autor:
Jacob Curran-Sebastian, Shazaad Ahmad, Arkadiusz Wiśniowski, John P. Schofield, Christopher E. Overton, Jihye Kim, Andrea Aparicio-Castro, Lorenzo Pellis, Nick Shryane, Jane Eddleston, Mark Elliot, Maria Pampaka, Neil A. Hanley, Diego Andres Perez Ruiz, Bindu Vekaria, Wendy Olsen, Thomas House
Publikováno v:
BMC Infectious Diseases
Vekaria, B, Overton, C, Wiśniowski, A, Ahmad, S, Aparicio Castro, A, Curran-Sebastian, J, Eddleston, J, Hanley, N, House, T, Kim, J, Olsen, W, Pampaka, M, Pellis, L, Perez Ruiz, D, Shryane, N & Elliot, M 2021, ' Hospital Length of Stay For COVID-19 Patients: Data-Driven Methods for Forward Planning ', BMC Infectious Diseases .
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-15 (2021)
Vekaria, B, Overton, C, Wiśniowski, A, Ahmad, S, Aparicio Castro, A, Curran-Sebastian, J, Eddleston, J, Hanley, N, House, T, Kim, J H, Olsen, W, Pampaka, M, Pellis, L, Perez Ruiz, D, Shryane, N & Elliot, M 2021, ' Hospital Length of Stay For COVID-19 Patients: Data-Driven Methods for Forward Planning ', BMC Infectious Diseases, vol. 21, 700 . https://doi.org/10.21203/rs.3.rs-56855/v1, https://doi.org/10.1186/s12879-021-06371-6
Vekaria, B, Overton, C, Wiśniowski, A, Ahmad, S, Aparicio Castro, A, Curran-Sebastian, J, Eddleston, J, Hanley, N, House, T, Kim, J, Olsen, W, Pampaka, M, Pellis, L, Perez Ruiz, D, Shryane, N & Elliot, M 2021, ' Hospital Length of Stay For COVID-19 Patients: Data-Driven Methods for Forward Planning ', BMC Infectious Diseases .
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-15 (2021)
Vekaria, B, Overton, C, Wiśniowski, A, Ahmad, S, Aparicio Castro, A, Curran-Sebastian, J, Eddleston, J, Hanley, N, House, T, Kim, J H, Olsen, W, Pampaka, M, Pellis, L, Perez Ruiz, D, Shryane, N & Elliot, M 2021, ' Hospital Length of Stay For COVID-19 Patients: Data-Driven Methods for Forward Planning ', BMC Infectious Diseases, vol. 21, 700 . https://doi.org/10.21203/rs.3.rs-56855/v1, https://doi.org/10.1186/s12879-021-06371-6
Background Predicting hospital length of stay (LoS) for patients with COVID-19 infection is essential to ensure that adequate bed capacity can be provided without unnecessarily restricting care for patients with other conditions. Here, we demonstrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42f14484c2b7ab19521eff7c130be99c
https://doi.org/10.21203/rs.3.rs-56855/v1
https://doi.org/10.21203/rs.3.rs-56855/v1
Autor:
Martyn Fyles, Bindu Vekaria, Hugo Lewkowicz, Timothy Felton, Shazaad Ahmad, Paul Dark, Rajenki Das, Elizabeth Fearon, Nick Gent, Luke Webb, Helena B. Stage, Andrew Ustianowski, Robert Sawko, Jacob Curran-Sebastian, Thomas House, Xiaoxi Pang, Christopher E. Overton, Lorenzo Pellis, Ian P. Hall
Publikováno v:
Overton, C, Stage, H, Ahmad, S, Curran-Sebastian, J, Dark, P, Das, R, Fearon, E, Felton, T, Fyles, M, Gent, N, Hall, I, House, T, Lewkowicz, H, Pang, X, Pellis, L, Sawko, R, Ustianowski, A, Vekaria, B & Webb, L 2020, ' Using statistics and mathematical modelling to understand infectious disease outbreaks : COVID-19 as an example ', Infectious Disease Modelling . https://doi.org/10.1016/j.idm.2020.06.008
Infectious Disease Modelling
Infectious Disease Modelling, Vol 5, Iss, Pp 409-441 (2020)
Infectious Disease Modelling
Infectious Disease Modelling, Vol 5, Iss, Pp 409-441 (2020)
During an infectious disease outbreak, biases in the data and complexities of the underlying dynamics pose significant challenges in mathematically modelling the outbreak and designing policy. Motivated by the ongoing response to COVID-19, we provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bbcdec630a50c770e18e576a78c40ef
http://arxiv.org/abs/2005.04937
http://arxiv.org/abs/2005.04937
Autor:
Emma Bennett, Thomas House, Xiaoxi Pang, Elizabeth Fearon, Francesca Scarabel, Lauren H. K. Chappell, Ian P. Hall, Bindu Vekaria, Hugo Lewkowicz, Luke Webb, Jacob Curran-Sebastian, Martyn Fyles, Katrina A. Lythgoe, Christopher E. Overton, Lorenzo Pellis, Rajenki Das, Helena B. Stage
Publikováno v:
Pellis, L, Scarabel, F, Stage, H B, Overton, C E, Chappell, L H K, Lythgoe, K A, Fearon, E, Bennett, E, Curran-Sebastian, J, Das, R, Fyles, M, Lewkowicz, H, Pang, X, Vekaria, B, Webb, L, House, T & Hall, I 2020, ' Challenges in control of Covid-19 : short doubling time and long delay to effect of interventions ', medRxiv . < https://www.medrxiv.org/content/10.1101/2020.04.12.20059972v2 >
Early assessments of the spreading rate of COVID-19 were subject to significant uncertainty, as expected with limited data and difficulties in case ascertainment, but more reliable inferences can now be made. Here, we estimate from European data that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e58c74cc2311ae51321e930afa23a39d
http://arxiv.org/abs/2004.00117
http://arxiv.org/abs/2004.00117