Zobrazeno 1 - 10
of 237
pro vyhledávání: '"Sebastian Funk"'
Autor:
Sophie Meakin, Sebastian Funk
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Background Defining healthcare facility catchment areas is a key step in predicting future healthcare demand in epidemic settings. Forecasts of hospitalisations can be informed by leading indicators measured at the community level. However,
Externí odkaz:
https://doaj.org/article/461dd9425d9545d0ab0c8ac19662225e
Autor:
Alexis Robert, Lloyd A. C. Chapman, Rok Grah, Rene Niehus, Frank Sandmann, Bastian Prasse, Sebastian Funk, Adam J. Kucharski
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Background Recurring COVID-19 waves highlight the need for tools able to quantify transmission risk, and identify geographical areas at risk of outbreaks. Local outbreak risk depends on complex immunity patterns resulting from previous infec
Externí odkaz:
https://doaj.org/article/a3a466d67f964c94bd524e98ddbc188d
Autor:
Katharine Sherratt, Ajitesh Srivastava, Kylie Ainslie, David E. Singh, Aymar Cublier, Maria Cristina Marinescu, Jesus Carretero, Alberto Cascajo Garcia, Nicolas Franco, Lander Willem, Steven Abrams, Christel Faes, Philippe Beutels, Niel Hens, Sebastian Müller, Billy Charlton, Ricardo Ewert, Sydney Paltra, Christian Rakow, Jakob Rehmann, Tim Conrad, Christof Schütte, Kai Nagel, Sam Abbott, Rok Grah, Rene Niehus, Bastian Prasse, Frank Sandmann, Sebastian Funk
Publikováno v:
Epidemics, Vol 47, Iss , Pp 100765- (2024)
Background: Collaborative comparisons and combinations of epidemic models are used as policy-relevant evidence during epidemic outbreaks. In the process of collecting multiple model projections, such collaborations may gain or lose relevant informati
Externí odkaz:
https://doaj.org/article/ea2c6a12ffb7462bb32e28d130682b1f
Autor:
Harrison Manley, Thomas Bayley, Gabriel Danelian, Lucy Burton, Thomas Finnie, Andre Charlett, Nicholas A. Watkins, Paul Birrell, Daniela De Angelis, Matt Keeling, Sebastian Funk, Graham Medley, Lorenzo Pellis, Marc Baguelin, Graeme J. Ackland, Johanna Hutchinson, Steven Riley, Jasmina Panovska-Griffiths
Publikováno v:
Royal Society Open Science, Vol 11, Iss 5 (2024)
Mathematical modelling has played an important role in offering informed advice during the COVID-19 pandemic. In England, a cross government and academia collaboration generated medium-term projections (MTPs) of possible epidemic trajectories over th
Externí odkaz:
https://doaj.org/article/2bc6adafcb43498ab1ecfa7f652536a0
Publikováno v:
Wellcome Open Research, Vol 8 (2024)
Background In the past, two studies found ensembles of human judgement forecasts of COVID-19 to show predictive performance comparable to ensembles of computational models, at least when predicting case incidences. We present a follow-up to a study c
Externí odkaz:
https://doaj.org/article/acd2a9a3fbf94b7988cf0945f450999e
Autor:
Carl A B Pearson, Anne Cori, Christopher Overton, Sabine van Elsland, Christopher I Jarvis, Edward M Hill, Dale Weston, Edward Knock, Kiesha Prem, Sam Abbott, Joel Hellewell, Sebastian Funk, Elizabeth Fearon, Julián Villabona Arenas, W John Edmunds, Michelle Kendall, Li Pi, Nicholas Davies, Neil Ferguson, Timothy Russell, Rosalind M Eggo, Yang Liu, Adam Kucharski, Marc Baguelin, Katharine Sherratt, Emily Nightingale, Anna C Carnegie
Publikováno v:
Wellcome Open Research, Vol 9 (2024)
Background The COVID-19 pandemic both relied and placed significant burdens on the experts involved from research and public health sectors. The sustained high pressure of a pandemic on responders, such as healthcare workers, can lead to lasting psyc
Externí odkaz:
https://doaj.org/article/a344f96cc2b942b59dccc92d2f68f73e
Autor:
Elisabeth K Brockhaus, Daniel Wolffram, Tanja Stadler, Michael Osthege, Tanmay Mitra, Jonas M Littek, Ekaterina Krymova, Anna J Klesen, Jana S Huisman, Stefan Heyder, Laura M Helleckes, Matthias An der Heiden, Sebastian Funk, Sam Abbott, Johannes Bracher
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 11, p e1011653 (2023)
The effective reproductive number Rt has taken a central role in the scientific, political, and public discussion during the COVID-19 pandemic, with numerous real-time estimates of this quantity routinely published. Disagreement between estimates can
Externí odkaz:
https://doaj.org/article/bcf0f16cbc4e48b6abc143d6e639646d
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 9, p e1011453 (2023)
Mathematical and statistical models can be used to make predictions of how epidemics may progress in the near future and form a central part of outbreak mitigation and control. Renewal equation based models allow inference of epidemiological paramete
Externí odkaz:
https://doaj.org/article/aac43a05aad749af98302813bc58152b
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 8, p e1011393 (2023)
Forecast evaluation is essential for the development of predictive epidemic models and can inform their use for public health decision-making. Common scores to evaluate epidemiological forecasts are the Continuous Ranked Probability Score (CRPS) and
Externí odkaz:
https://doaj.org/article/7ea04384a7214855b5bb4e6b4036f84e
Autor:
Daniel Wolffram, Sam Abbott, Matthias An der Heiden, Sebastian Funk, Felix Günther, Davide Hailer, Stefan Heyder, Thomas Hotz, Jan van de Kassteele, Helmut Küchenhoff, Sören Müller-Hansen, Diellë Syliqi, Alexander Ullrich, Maximilian Weigert, Melanie Schienle, Johannes Bracher
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 8, p e1011394 (2023)
Real-time surveillance is a crucial element in the response to infectious disease outbreaks. However, the interpretation of incidence data is often hampered by delays occurring at various stages of data gathering and reporting. As a result, recent va
Externí odkaz:
https://doaj.org/article/0f26ad6c456b4b648aad5cdf9fd23c52