Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Miscouridou, X"'
Publikováno v:
Bernoulli. 29
Infinite-activity completely random measures (CRMs) have become important building blocks of complex Bayesian nonparametric models. They have been successfully used in various applications such as clustering, density estimation, latent feature models
Autor:
Brizzi, A, Whittaker, C, Servo, LMS, Hawryluk, I, Prete, CA, De Souza, WM, Aguiar, RS, Araujo, LJT, Bastos, LS, Blenkinsop, A, Buss, LF, Candido, D, Castro, MC, Costa, SF, Croda, J, De Souza Santos, AA, Dye, C, Flaxman, S, Fonseca, PLC, Geddes, VEV, Gutierrez, B, Lemey, P, Levin, AS, Mellan, T, Bonfim, DM, Miscouridou, X, Mishra, S, Monod, M, Moreira, FRR, Nelson, B, Pereira, RHM, Ranzani, O, Schnekenberg, RP, Semenova, E, Sonnabend, R, Souza, RP, Xi, X, Sabino, EC, Faria, NR, Bhatt, S, Ratmann, O
The SARS-CoV-2 Gamma variant spread rapidly across Brazil, causing substantial infection and death waves. We use individual-level patient records following hospitalisation with suspected or confirmed COVID-19 to document the extensive shocks in hospi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::97a24fbccde256d876e3c39c34d9742f
http://hdl.handle.net/10044/1/99465
http://hdl.handle.net/10044/1/99465
Autor:
Pakkanen MS; Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario, Canada. m.pakkanen@imperial.ac.uk.; Department of Mathematics, Imperial College London, London, UK. m.pakkanen@imperial.ac.uk., Miscouridou X; Department of Mathematics, Imperial College London, London, UK., Penn MJ; Department of Statistics, University of Oxford, Oxford, UK., Whittaker C; Department of Infectious Disease Epidemiology, Imperial College London, London, UK., Berah T; Department of Mathematics, Imperial College London, London, UK., Mishra S; Department of Infectious Disease Epidemiology, Imperial College London, London, UK.; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark., Mellan TA; Department of Infectious Disease Epidemiology, Imperial College London, London, UK., Bhatt S; Department of Infectious Disease Epidemiology, Imperial College London, London, UK. s.bhatt@imperial.ac.uk.; Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark. s.bhatt@imperial.ac.uk.
Publikováno v:
Journal of mathematical biology [J Math Biol] 2023 Aug 01; Vol. 87 (2), pp. 35. Date of Electronic Publication: 2023 Aug 01.
Autor:
Miscouridou, X
Bayesian Statistics provide us with a powerful approach to model real-world phenomena and quantify the uncertainty therein by treating unknown factors as random. The Bayesian paradigm prescribes quantifying the prior knowledge about some state of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1064::72fc6d96b17e74b9440bc514c1f10a06
https://ora.ox.ac.uk/objects/uuid:c8917a5f-139c-4158-a5ba-26470170905f
https://ora.ox.ac.uk/objects/uuid:c8917a5f-139c-4158-a5ba-26470170905f
Autor:
Brizzi, A, Whittaker, C, Servo, LMS, Hawryluk, I, Prete Jr, CA, De Souza, WM, Aguiar, RS, Araujo, LJT, Bastos, LS, Blenkinsop, A, Buss, LF, Candido, D, Castro, MC, Costa, SF, Croda, J, De Souza Santos, A, Dye, C, Flaxman, S, Fonseca, PLC, Geddes, VEV, Gutierrez, B, Lemey, P, Levin, AS, Mellan, T, Bonfim, DM, Miscouridou, X, Mishra, S, Monod, M, Moreira, FRR, Nelson, B, Pereira, RHM, Ranzani, O, Schnekenberg, RP, Semenova, E, Sonnabend, R, Souza, RP, Xi, X, Sabino, EC, Faria, NR, Bhatt, S, Ratmann, O
The SARS‐CoV‐2 Gamma variant spread rapidly across Brazil, causing substantial infection and death wa ves. We use individual‐level patient records following hospitalisation with suspected or confirmed COVID‐19 to document the extensive shocks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bb980eb13f333bec2c39b3c076b3f00
Autor:
Mishra, S, Mindermann, S, Sharma, M, Whittaker, C, Mellan, T, Wilton, T, Klapsa, D, Mate, R, Fritzsche, M, Zambon, M, Ahuja, J, Howes, A, Miscouridou, X, Nason, G, Ratmann, O, Leech, G, Fabienne Sandkühler, J, Rogers-Smith, C, Vollmer, M, Unwin, H, Gal, Y, Chand, M, Gandy, A, Martin, J, Volz, E, Ferguson, N, Bhatt, S, Brauner, J, Flaxman, S
Since its emergence in Autumn 2020, the SARS-CoV-2 Variant of Concern (VOC) B.1.1.7 rapidly became the dominant lineage across much of Europe. Simultaneously, several other VOCs were identified globally. Unlike B.1.1.7, some of these VOCs possess mut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b8f60139a5262082be3eeff19b0a59f
http://hdl.handle.net/10044/1/88876
http://hdl.handle.net/10044/1/88876
Autor:
Hawryluk, I, Hoeltgebaum, H, Mishra, S, Miscouridou, X, Schnekenberg, RP, Whittaker, C, Vollmer, M, Flaxman, S, Bhatt, S, Mellan, TA
Publikováno v:
37th Conference on Uncertainty in Artificial Intelligence, UAI 2021
Updating observations of a signal due to the delays in the measurement process is a common problem in signal processing, with prominent examples in a wide range of fields. An important example of this problem is the nowcasting of COVID-19 mortality:
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02f2b8496f6c3a3020bc05eb5c5d0877
Autor:
Brizzi A; Department of Mathematics, Imperial College London, London, UK., Whittaker C; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK., Servo LMS; Institute for Applied Economic Research, IPEA, Brasília, Brazil., Hawryluk I; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK., Prete CA Jr; Departamento de Engenharia de Sistemas Eletrônicos, Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil., de Souza WM; World Reference Center for Emerging Viruses and Arboviruses and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston TX, USA., Aguiar RS; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.; Instituto D'Or de Pesquisa e Ensino (IDOR), Rio de Janeiro, Brazil., Araujo LJT; Laboratory of Quantitative Pathology, Center of Pathology, Adolfo Lutz Institute, São Paulo, Brazil., Bastos LS; Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil., Blenkinsop A; Department of Mathematics, Imperial College London, London, UK., Buss LF; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.; Departamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Candido D; Department of Zoology, University of Oxford, Oxford, UK., Castro MC; Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston MA, USA., Costa SF; Departamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Croda J; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven CT, USA., de Souza Santos AA; Latin American Centre, University of Oxford, Oxford, UK., Dye C; Department of Zoology, University of Oxford, Oxford, UK., Flaxman S; Department of Computer Science, University of Oxford, Oxford, UK., Fonseca PLC; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Geddes VEV; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Gutierrez B; Department of Zoology, University of Oxford, Oxford, UK., Lemey P; Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven - University of Leuven, Leuven, Belgium., Levin AS; Departamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Mellan T; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK., Bonfim DM; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Miscouridou X; Department of Mathematics, Imperial College London, London, UK., Mishra S; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.; Section of Epidemiology, School of Public Health, University of Copenhagen, Copenhagen, Denmark., Monod M; Department of Mathematics, Imperial College London, London, UK., Moreira FRR; Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Nelson B; Environmental Dynamics, INPA, National Institute for Amazon Research, Manaus, Brazil., Pereira RHM; Institute for Applied Economic Research, IPEA, Brasília, Brazil., Ranzani O; Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain., Schnekenberg RP; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Semenova E; Department of Mathematics, Imperial College London, London, UK., Sonabend R; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK., Souza RP; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Xi X; Department of Mathematics, Imperial College London, London, UK., Sabino EC; Departamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil. sabinoec@usp.br., Faria NR; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK. n.faria@imperial.ac.uk.; Departamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil. n.faria@imperial.ac.uk.; Department of Zoology, University of Oxford, Oxford, UK. n.faria@imperial.ac.uk.; Department of Infectious Disease Epidemiology, Imperial College London, London, UK. n.faria@imperial.ac.uk., Bhatt S; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK. s.bhatt@imperial.ac.uk.; Section of Epidemiology, School of Public Health, University of Copenhagen, Copenhagen, Denmark. s.bhatt@imperial.ac.uk., Ratmann O; Department of Mathematics, Imperial College London, London, UK. oratmann@gmail.com.
Publikováno v:
Nature medicine [Nat Med] 2022 Jul; Vol. 28 (7), pp. 1509.
Autor:
Brizzi A; Department of Mathematics, Imperial College London, London, UK., Whittaker C; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK., Servo LMS; Institute for Applied Economic Research, IPEA, Brasília, Brazil., Hawryluk I; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK., Prete CA Jr; Departamento de Engenharia de Sistemas Eletrônicos, Escola Politécnica, Universidade de São Paulo, São Paulo, Brazil., de Souza WM; World Reference Center for Emerging Viruses and Arboviruses and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston TX, USA., Aguiar RS; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.; Instituto D'Or de Pesquisa e Ensino (IDOR), Rio de Janeiro, Brazil., Araujo LJT; Laboratory of Quantitative Pathology, Center of Pathology, Adolfo Lutz Institute, São Paulo, Brazil., Bastos LS; Programa de Computação Científica, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil., Blenkinsop A; Department of Mathematics, Imperial College London, London, UK., Buss LF; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.; Departamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Candido D; Department of Zoology, University of Oxford, Oxford, UK., Castro MC; Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston MA, USA., Costa SF; Departamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Croda J; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven CT, USA., de Souza Santos AA; Latin American Centre, University of Oxford, Oxford, UK., Dye C; Department of Zoology, University of Oxford, Oxford, UK., Flaxman S; Department of Computer Science, University of Oxford, Oxford, UK., Fonseca PLC; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Geddes VEV; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Gutierrez B; Department of Zoology, University of Oxford, Oxford, UK., Lemey P; Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven - University of Leuven, Leuven, Belgium., Levin AS; Departamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil., Mellan T; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK., Bonfim DM; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Miscouridou X; Department of Mathematics, Imperial College London, London, UK., Mishra S; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK.; Section of Epidemiology, School of Public Health, University of Copenhagen, Copenhagen, Denmark., Monod M; Department of Mathematics, Imperial College London, London, UK., Moreira FRR; Departamento de Genética, Instituto de Biologia, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil., Nelson B; Environmental Dynamics, INPA, National Institute for Amazon Research, Manaus, Brazil., Pereira RHM; Institute for Applied Economic Research, IPEA, Brasília, Brazil., Ranzani O; Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain., Schnekenberg RP; Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK., Semenova E; Department of Mathematics, Imperial College London, London, UK., Sonabend R; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK., Souza RP; Departamento de Genética, Ecologia e Evolução, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Xi X; Department of Mathematics, Imperial College London, London, UK., Sabino EC; Departamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil. sabinoec@usp.br., Faria NR; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK. n.faria@imperial.ac.uk.; Departamento de Moléstias Infecciosas e Parasitárias e Instituto de Medicina Tropical da Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil. n.faria@imperial.ac.uk.; Department of Zoology, University of Oxford, Oxford, UK. n.faria@imperial.ac.uk.; Department of Infectious Disease Epidemiology, Imperial College London, London, UK. n.faria@imperial.ac.uk., Bhatt S; MRC Centre for Global Infectious Disease Analysis, Jameel Institute, School of Public Health, Imperial College London, London, UK. s.bhatt@imperial.ac.uk.; Section of Epidemiology, School of Public Health, University of Copenhagen, Copenhagen, Denmark. s.bhatt@imperial.ac.uk., Ratmann O; Department of Mathematics, Imperial College London, London, UK. oratmann@gmail.com.
Publikováno v:
Nature medicine [Nat Med] 2022 Jul; Vol. 28 (7), pp. 1476-1485. Date of Electronic Publication: 2022 May 10.
We propose a novel class of network models for temporal dyadic interaction data. Our goal is to capture a number of important features often observed in social interactions: sparsity, degree heterogeneity, community structure and reciprocity. We prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b921fded783bebf129b17ec768f71605
https://ora.ox.ac.uk/objects/uuid:36af3bde-f038-4dc5-8f52-261bdd257021
https://ora.ox.ac.uk/objects/uuid:36af3bde-f038-4dc5-8f52-261bdd257021