Zobrazeno 1 - 10
of 187
pro vyhledávání: '"O'Neill Philip D"'
Publikováno v:
BMC Infectious Diseases, Vol 10, Iss 1, p 29 (2010)
Abstract Background Screening and isolation are central components of hospital methicillin-resistant Staphylococcus aureus (MRSA) control policies. Their prevention of patient-to-patient spread depends on minimizing undetected and unisolated MRSA-pos
Externí odkaz:
https://doaj.org/article/747ec3d83f12448e98025df2f79b5e09
Akademický článek
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We consider the problem of model choice for stochastic epidemic models given partial observation of a disease outbreak through time. Our main focus is on the use of Bayes factors. Although Bayes factors have appeared in the epidemic modelling literat
Externí odkaz:
http://arxiv.org/abs/1710.04977
Autor:
Kypraios, Theodore, O'Neill, Philip D.
The vast majority of models for the spread of communicable diseases are parametric in nature and involve underlying assumptions about how the disease spreads through a population. In this article we consider the use of Bayesian nonparametric approach
Externí odkaz:
http://arxiv.org/abs/1706.02940
Autor:
Thompson, Robin N., Hollingsworth, T. Déirdre, Isham, Valerie, Arribas-Bel, Daniel, Ashby, Ben, Britton, Tom, Challenor, Peter, Chappell, Lauren H. K., Clapham, Hannah, Cunniffe, Nik J., Dawid, A. Philip, Donnelly, Christl A., Eggo, Rosalind M., Funk, Sebastian, Gilbert, Nigel, Glendinning, Paul, Gog, Julia R., Hart, William S., Heesterbeek, Hans, House, Thomas, Keeling, Matt, Kiss, István Z., Kretzschmar, Mirjam E., Lloyd, Alun L., McBryde, Emma S., McCaw, James M., McKinley, Trevelyan J., Miller, Joel C., Morris, Martina, O’Neill, Philip D., Parag, Kris V., Pearson, Carl A. B., Pellis, Lorenzo, Pulliam, Juliet R. C., Ross, Joshua V., Tomba, Gianpaolo Scalia, Silverman, Bernard W., Struchiner, Claudio J., Tildesley, Michael J., Trapman, Pieter, Webb, Cerian R., Mollison, Denis, Restif, Olivier
Publikováno v:
Proceedings: Biological Sciences, 2020 Aug 01. 287(1932), 1-15.
Externí odkaz:
https://www.jstor.org/stable/27002415
The celebrated Abakaliki smallpox data have appeared numerous times in the epidemic modelling literature, but in almost all cases only a specific subset of the data is considered. There is one previous analysis of the full data set, but this relies o
Externí odkaz:
http://arxiv.org/abs/1605.07924
Autor:
Wei, Yinghui, Kypraios, Theodore, O'Neill, Philip D., Huang, Susan S., Rifas-Shiman, Sheryl L., Cooper, Ben S.
Nosocomial pathogens such as Methicillin-Resistant {\em Staphylococcus aureus} (MRSA) and Vancomycin-resistant {\em Enterococci} (VRE) are the cause of significant morbidity and mortality among hospital patients. It is important to be able to assess
Externí odkaz:
http://arxiv.org/abs/1602.04721
This paper is concerned with a stochastic model for the spread of an SEIR (susceptible -> exposed (=latent) -> infective -> removed) epidemic with a contact tracing scheme, in which removed individuals may name some of their infectious contacts, who
Externí odkaz:
http://arxiv.org/abs/1512.01586
Autor:
O'Neill, Philip D., Kypraios, Theodore
We describe a new method for evaluating Bayes factors. The key idea is to introduce a hypermodel in which the competing models are components of a mixture distribution. Inference for the mixing probabilities then yields estimates of the Bayes factors
Externí odkaz:
http://arxiv.org/abs/1411.7888
Autor:
Worby, Colin J., O'Neill, Philip D., Kypraios, Theodore, Robotham, Julie V., De Angelis, Daniela, Cartwright, Edward J. P., Peacock, Sharon J., Cooper, Ben S.
Publikováno v:
Ann. Appl. Stat. 10 (2016) 395-417
Whole genome sequencing of pathogens from multiple hosts in an epidemic offers the potential to investigate who infected whom with unparalleled resolution, potentially yielding important insights into disease dynamics and the impact of control measur
Externí odkaz:
http://arxiv.org/abs/1401.1749