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514 results on '"Donker, Gé A."'

9. Statistical modelling of summary values leads to accurate Approximate Bayesian Computations

Author

Ratmann, Oliver, Camacho, Anton, Meijer, Adam, and Donker, Gé

Subjects
Statistics - Methodology
Abstract

Approximate Bayesian Computation (ABC) methods rely on asymptotic arguments, implying that parameter inference can be systematically biased even when sufficient statistics are available. We propose to construct the ABC accept/reject step from decision theoretic arguments on a suitable auxiliary space. This framework, referred to as ABC*, fully specifies which test statistics to use, how to combine them, how to set the tolerances and how long to simulate in order to obtain accuracy properties on the auxiliary space. Akin to maximum-likelihood indirect inference, regularity conditions establish when the ABC* approximation to the posterior density is accurate on the original parameter space in terms of the Kullback-Leibler divergence and the maximum a posteriori point estimate. Fundamentally, escaping asymptotic arguments requires knowledge of the distribution of test statistics, which we obtain through modelling the distribution of summary values, data points on a summary level. Synthetic examples and an application to time series data of influenza A (H3N2) infections in the Netherlands illustrate ABC* in action., Comment: Videos can be played with Acrobat Reader. Manuscript under review and not accepted

Published
2013

18. Supplemental Material -What Facilitates or Hampers Living at Home With Advanced Dementia Until the End of Life? A Qualitative Study Using Retrospective Interviews Among Family Caregivers, General Practitioners, and Case Managers

Author

de Jong, Loes M., Francke, Anneke L., Donker, Gé, van den Buuse, Susanne, and van der Heide, Iris

Subjects
FOS: Clinical medicine, 111799 Public Health and Health Services not elsewhere classified, FOS: Health sciences, 110306 Endocrinology, 110308 Geriatrics and Gerontology
Abstract

Supplemental Material for What Facilitates or Hampers Living at Home With Advanced Dementia Until the End of Life? A Qualitative Study Using Retrospective Interviews Among Family Caregivers, General Practitioners, and Case Managers by Loes M. de Jong, Anneke L. Francke, Gé Donker, Susanne van den Buuse, and Iris van der Heide in Journal of Applied Gerontology

Published
2023
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30. Oseltamivir-resistant pandemic A(H1N1) 2009 influenza viruses detected through enhanced surveillance in the Netherlands, 2009–2010

Author

Meijer, Adam, Jonges, Marcel, Abbink, Floor, Ang, Wim, van Beek, Janko, Beersma, Matthias, Bloembergen, Peter, Boucher, Charles, Claas, Eric, Donker, Gé, van Gageldonk-Lafeber, Rianne, Isken, Leslie, de Jong, Arjan, Kroes, Aloys, Leenders, Sander, van der Lubben, Mariken, Mascini, Ellen, Niesters, Bert, Oosterheert, Jan Jelrik, Osterhaus, Albert, Riesmeijer, Rob, Riezebos-Brilman, Annelies, Schutten, Martin, Sebens, Fré, Stelma, Foekje, Swaan, Corien, Timen, Aura, van ’t Veen, Annemarie, van der Vries, Erhard, te Wierik, Margreet, and Koopmans, Marion

Published
2011
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49. Media Reports as a Source for Monitoring Impact of Influenza on Hospital Care: Qualitative Content Analysis

Author

Reukers, Daphne F M, Marbus, Sierk D, Smit, Hella, Schneeberger, Peter, Donker, Gé, van der Hoek, Wim, and van Gageldonk-Lafeber, Arianne B

Subjects
Original Paper, Hospitalization, SARI, Influenza, Human, surveillance, Humans, Public Health Surveillance, Mass Media, influenza, news articles, hospital care, Qualitative Research, severe acute respiratory infections, media reports, Netherlands
Abstract

Background The Netherlands, like most European countries, has a robust influenza surveillance system in primary care. However, there is a lack of real-time nationally representative data on hospital admissions for complications of influenza. Anecdotal information about hospital capacity problems during influenza epidemics can, therefore, not be substantiated. Objective The aim of this study was to assess whether media reports could provide relevant information for estimating the impact of influenza on hospital capacity, in the absence of hospital surveillance data. Methods Dutch news articles on influenza in hospitals during the influenza season (week 40 of 2017 until week 20 of 2018) were searched in a Web-based media monitoring program (Coosto). Trends in the number of weekly articles were compared with trends in 5 different influenza surveillance systems. A content analysis was performed on a selection of news articles, and information on the hospital, department, problem, and preventive or response measures was collected. Results The trend in weekly news articles correlated significantly with the trends in all 5 surveillance systems, including severe acute respiratory infections (SARI) surveillance. However, the peak in all 5 surveillance systems preceded the peak in news articles. Content analysis showed hospitals (N=69) had major capacity problems (46/69, 67%), resulting in admission stops (9/46, 20%), postponement of nonurgent surgical procedures (29/46, 63%), or both (8/46, 17%). Only few hospitals reported the use of point-of-care testing (5/69, 7%) or a separate influenza ward (3/69, 4%) to accelerate clinical management, but most resorted to ad hoc crisis management (34/69, 49%). Conclusions Media reports showed that the 2017/2018 influenza epidemic caused serious problems in hospitals throughout the country. However, because of the time lag in media reporting, it is not a suitable alternative for near real-time SARI surveillance. A robust SARI surveillance program is important to inform decision making.

Published
2020

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