Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Tullia Padellini"'
Publikováno v:
Royal Society Open Science, Vol 11, Iss 1 (2024)
Statistical analysis based on quantile methods is more comprehensive, flexible and less sensitive to outliers when compared to mean methods. Joint disease mapping is useful for inferring correlation between different diseases. Most studies investigat
Externí odkaz:
https://doaj.org/article/8576c69b18a64329918b27f34f323e02
Autor:
Garyfallos Konstantinoudis, Tullia Padellini, James Bennett, Bethan Davies, Majid Ezzati, Marta Blangiardo
Publikováno v:
Environment International, Vol 150, Iss , Pp 106427- (2021)
Externí odkaz:
https://doaj.org/article/f5fef57e1b104bcbb8b1dbda0ead0077
Autor:
Garyfallos Konstantinoudis, Tullia Padellini, James Bennett, Bethan Davies, Majid Ezzati, Marta Blangiardo
Publikováno v:
Environment International, Vol 146, Iss , Pp 106316- (2021)
Recent studies suggested a link between long-term exposure to air-pollution and COVID-19 mortality. However, due to their ecological design based on large spatial units, they neglect the strong localised air-pollution patterns, and potentially lead t
Externí odkaz:
https://doaj.org/article/9dd700be78cf45d59a5b8dc99ed0adb3
Autor:
George Nicholson, Marta Blangiardo, Mark Briers, Peter J. Diggle, Tor Erlend Fjelde, Hong Ge, Robert J. B. Goudie, Radka Jersakova, Ruairidh E. King, Brieuc C. L. Lehmann, Ann-Marie Mallon, Tullia Padellini, Yee Whye Teh, Chris Holmes, Sylvia Richardson
Publikováno v:
Stat Sci
We present "interoperability" as a guiding framework for statistical modelling to assist policy makers asking multiple questions using diverse datasets in the face of an evolving pandemic response. Interoperability provides an important set of princi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a386b1badc9e20356ab4ac2a35ee574f
https://europepmc.org/articles/PMC7612804/
https://europepmc.org/articles/PMC7612804/
Autor:
George Nicholson, Brieuc Lehmann, Tullia Padellini, Koen B. Pouwels, Radka Jersakova, James Lomax, Ruairidh E. King, Ann-Marie Mallon, Peter J. Diggle, Sylvia Richardson, Marta Blangiardo, Chris Holmes
Publikováno v:
Nature Microbiology
Global and national surveillance of SARS-CoV-2 epidemiology is mostly based on targeted schemes focused on testing individuals with symptoms. These tested groups are often unrepresentative of the wider population and exhibit test positivity rates tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::540531e9f05047900b232cbe85c39348
https://doi.org/10.1038/s41564-021-01029-0
https://doi.org/10.1038/s41564-021-01029-0
Autor:
George Nicholson, Sylvia Richardson, Radka Jersakova, Ann-Marie Mallon, Christopher Holmes, Brieuc Lehmann, Peter J. Diggle, Marta Blangiardo, Tullia Padellini, Ruairidh E. King
Publikováno v:
medRxiv
article-version (status) pre
article-version (number) 1
article-version (status) pre
article-version (number) 1
BackgroundEthnically diverse and socio-economically deprived communities have been differentially affected by the COVID-19 pandemic in the UK.MethodUsing a multilevel regression model we assess the time-varying association between SARS-CoV-2 infectio
Autor:
Brieuc Cl Lehmann, George Nicholson, Marta Blangiardo, Ann-Marie Mallon, Koen B. Pouwels, Christopher Holmes, Tullia Padellini, Peter J. Diggle, Ruairidh E. King, Radka Jersakova, James Lomax, Sylvia Richardson
Targeted surveillance testing schemes for SARS-CoV-2 focus on certain subsets of the population, such as individuals experiencing one or more of a prescribed list of symptoms. These schemes have routinely been used to monitor the spread of SARS-CoV-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7be9873764b9cf7e2eb608aa8363a397
https://doi.org/10.1101/2021.05.17.21256818
https://doi.org/10.1101/2021.05.17.21256818
Autor:
Majid Ezzati, James E. Bennett, Marta Blangiardo, Garyfallos Konstantinoudis, Tullia Padellini, Bethan Davies
Publikováno v:
Environment International, Vol 150, Iss, Pp 106427-(2021)
Environment International
Environment International
Autor:
Tullia Padellini, Pierpaolo Brutti
Topological Data Analysis (TDA) is a recent and growing branch of statistics devoted to the study of the shape of the data. In this work we investigate the predictive power of TDA in the context of supervised learning. Since topological summaries, mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6630871f9546110fe831746db0bf5731
http://hdl.handle.net/11573/1576505
http://hdl.handle.net/11573/1576505
Autor:
Tullia Padellini, Radka Jersakova, Peter J. Diggle, Chris Holmes, Ruairidh E. King, Brieuc C.L. Lehmann, Ann-Marie Mallon, George Nicholson, Sylvia Richardson, Marta Blangiardo
Publikováno v:
The Lancet Regional Health - Europe. 15:100322
BACKGROUND: Ethnically diverse and socio-economically deprived communities have been differentially affected by the COVID-19 pandemic in the UK. METHOD: Using a multilevel regression model we assessed the time-varying association between SARS-CoV-2 i