Zobrazeno 1 - 10
of 308
pro vyhledávání: '"J. Birrell"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 5, p e1011088 (2023)
Modelling the transmission dynamics of an infectious disease is a complex task. Not only it is difficult to accurately model the inherent non-stationarity and heterogeneity of transmission, but it is nearly impossible to describe, mechanistically, ch
Externí odkaz:
https://doaj.org/article/f66737811cbb4f84856f3885c31ed3a6
Autor:
Paul J. Birrell, Xu-Sheng Zhang, Alice Corbella, Edwin van Leeuwen, Nikolaos Panagiotopoulos, Katja Hoschler, Alex J. Elliot, Maryia McGee, Simon de Lusignan, Anne M. Presanis, Marc Baguelin, Maria Zambon, André Charlett, Richard G. Pebody, Daniela De Angelis
Publikováno v:
BMC Public Health, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background Since the 2009 A/H1N1 pandemic, Public Health England have developed a suite of real-time statistical models utilising enhanced pandemic surveillance data to nowcast and forecast a future pandemic. Their ability to track seasonal
Externí odkaz:
https://doaj.org/article/795660b8dff14e51a83c84d9939d6038
Autor:
A Sarah Walker, Emma Pritchard, Thomas House, Julie V Robotham, Paul J Birrell, Iain Bell, John I Bell, John N Newton, Jeremy Farrar, Ian Diamond, Ruth Studley, Jodie Hay, Karina-Doris Vihta, Timothy EA Peto, Nicole Stoesser, Philippa C Matthews, David W Eyre, Koen B Pouwels, COVID-19 Infection Survey team
Publikováno v:
eLife, Vol 10 (2021)
Background: Information on SARS-CoV-2 in representative community surveillance is limited, particularly cycle threshold (Ct) values (a proxy for viral load). Methods: We included all positive nose and throat swabs 26 April 2020 to 13 March 2021 from
Externí odkaz:
https://doaj.org/article/fb7c41c3ebf6484aa04bcf7f4a824a45
Autor:
Alice Corbella, Xu-Sheng Zhang, Paul J. Birrell, Nicki Boddington, Richard G. Pebody, Anne M. Presanis, Daniela De Angelis
Publikováno v:
BMC Public Health, Vol 18, Iss 1, Pp 1-11 (2018)
Abstract Background Influenza remains a significant burden on health systems. Effective responses rely on the timely understanding of the magnitude and the evolution of an outbreak. For monitoring purposes, data on severe cases of influenza in Englan
Externí odkaz:
https://doaj.org/article/cced777cf0c845ddaecfc99649a80c57
Publikováno v:
Journal of the Royal Statistical Society Series A: Statistics in Society.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9339c0459f7572a5945039dedb78550
https://doi.org/10.1093/jrsssa/qnad049
https://doi.org/10.1093/jrsssa/qnad049
Publikováno v:
Epidemics, Vol 10, Iss C, Pp 83-87 (2015)
Public health-related decision-making on policies aimed at controlling epidemics is increasingly evidence-based, exploiting multiple sources of data. Policy makers rely on complex models that are required to be robust, realistically approximating epi
Externí odkaz:
https://doaj.org/article/8e8bee62a27b4f16833d91083ca36ae0
Autor:
Stuart J. Birrell, Douglas L. Karlen, Márcio R. Nunes, Marshall D. McDaniel, Mriganka De, John L. Kovar
Publikováno v:
Agronomy Journal. 113:3178-3192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::631487dbe19b32f586134ec71fe75408
https://doi.org/10.1002/agj2.20724
https://doi.org/10.1002/agj2.20724
Publikováno v:
Health Technology Assessment, Vol 21, Iss 58 (2017)
Background: Real-time modelling is an essential component of the public health response to an outbreak of pandemic influenza in the UK. A model for epidemic reconstruction based on realistic epidemic surveillance data has been developed, but this mod
Externí odkaz:
https://doaj.org/article/942916f2ae95410386eefe9f1d1ae4dd
Modelling the transmission dynamics of an infectious disease is a complex task. Not only it is difficult to accurately model the inherent non-stationarity and heterogeneity of transmission, but it is nearly impossible to describe, mechanistically, ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ae7cb1b248fd19caabc907e1e3318b5
http://arxiv.org/abs/2208.14363
http://arxiv.org/abs/2208.14363
Autor:
Alison E Brown, Daniela De Angelis, Paul J Birrell, O Noel Gill, Valerie Delpech, Dana Ogaz, Peter Kirwan, Francesco Brizzi
Publikováno v:
The Lancet. HIV
Summary Background To manage the HIV epidemic among men who have sex with men (MSM) in England, treatment as prevention strategies based on test and treat were strengthened between 2011 and 2015, and supplemented from 2015 by scale-up of pre-exposure
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c11cf89f612ce73864968d277e7a1965