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Researcher
Thomas Neyens
- Keywords (Hasselt University):Mathematics
- Disciplines (KU Leuven):Statistics
- Disciplines (Hasselt University):Statistics, Modelling and simulation, Conservation and biodiversity, Biostatistics, Epidemiology, Community ecology
- See also: Thomas NEYENS (Hasselt University)
Affiliations
- Data Science Institute (Research institute)
Member
From1 May 2022 → Today - Mathematics and statistics (Department)
Member
From1 Jan 2013 → Today - Centre for Statistics (Research group)
Member
From1 Oct 2009 → Today - Faculty of Sciences (Faculty)
Member
From1 Oct 2009 → Today - Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat) (Division)
Member
From1 Oct 2019 → Today - Data Science Institute (Research institute)
Member
From1 Jun 2019 → 31 Mar 2022 - Research Institute Center for Statistics (Research institute)
Member
From1 Oct 2009 → 31 May 2019 - Applied Mathematics (Department)
Member
From1 Oct 2009 → 31 Dec 2012
Projects
1 - 9 of 9
- Trajectories of newly emerging evolving metacommunities – an interdisciplinary research project in empirical ecology and biostatisticsFrom1 Jan 2024 → TodayFunding: FWO research project (including WEAVE projects)
- A geostatistical framework to forecast malaria incidence in the context of climatic eventsFrom16 Jun 2022 → TodayFunding: FWO fellowships
- Longitudinal, Spatial, and Spatio-temporal Modeling of Clinical and Epidemiological DataFrom1 Oct 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- A Statistical Framework for the Analysis of Ecological Data Collected via Citizen ScienceFrom15 Feb 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- A Statistical Framework for the Analysis of Ecological Data Collected via Citizen ScienceFrom1 Jan 2021 → TodayFunding: FWO research project (including WEAVE projects)
- Balancing socio-economic and public health impact of COVID-19 for its sustainable control and mitigation (SOPHIA)From1 Nov 2020 → 31 Oct 2021Funding: FWO thematic call for applied research
- An Analysis Framework to Evaluate the Epidemiology of Respiratory Pathologies Using Complex Hierarchical DatasetsFrom19 Oct 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- COVID19-SURVEYSFrom22 May 2020 → 21 May 2021Funding: FWO thematic call for applied research
- A Statistical Framework for the Spatio-temporal Analysis of Modern Data Types in Epidemiology and EcologyFrom5 Dec 2019 → 30 Sep 2021Funding: BOF - projects
Publications
31 - 40 of 49
- Editorial: changing of the guard at Transplant International(2021)
Authors: Maarten Naesens, Thomas Neyens
Pages: 609 - 609 - Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European country(2020)
Authors: Geert Molenberghs, Christel Faes, Geert Verbeke, Thomas Neyens, Ingrid Van Keilegom
- DNA diet profiles with high-resolution animal tracking data reveal levels of prey selection relative to habitat choice in a crepuscular insectivorous bird(2020)
Authors: Thomas Neyens
Pages: 13044 - 13056 - Can COVID-19 symptoms as reported in a large-scale online survey be used to optimise spatial predictions of COVID-19 incidence risk in Belgium?(2020)
Authors: Thomas Neyens, Christel Faes, Geert Molenberghs, Jan Aerts
- Improved ecological insights commission new conservation targets for a crepuscular bird species(2020)
Authors: Thomas Neyens
Pages: 457 - 469 - On the impact of residential history in the spatial analysis of diseases with a long latency period: A study of mesothelioma in Belgium(2020)
Authors: Thomas Neyens, Kristiaan Nackaerts, Benoit Nemery de Bellevaux, Christel Faes
Pages: 3840 - 3866 - Mapping species richness using opportunistic samples: a case study on ground-floor bryophyte species richness in the Belgian province of Limburg(2019)
Authors: Thomas Neyens, Christel Faes
- Comparison of different software implementations for spatial disease mapping(2019)
Authors: Thomas Neyens, Christel Faes
- Response to comments on "Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros"(2018)
Authors: Geert Molenberghs, Thomas Neyens, Christel Faes, Geert Verbeke
Pages: 1942 - 1946 - Response to comments on "Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros"(2018)
Authors: Geert Molenberghs, Alvaro Florez Poveda, Wondwosen Kassahun, Thomas Neyens, Christel Faes, Geert Verbeke
Pages: 1942 - 1946