Researcher
Steven ABRAMS
- Research Expertise (University of Antwerp):In his research, Steven Abrams uses and develops novel statistical and mathematical methodology for the analysis of infectious disease data with the aim of improving the understanding of infectious disease dynamics and transmission, the evaluation of intervention strategies and surveillance for vaccine-preventable diseases.
- Keywords (University of Antwerp):BIOSTATISTICS, Medicine
- Keywords (Hasselt University):Mathematics
- Disciplines (University of Antwerp):Biostatistics, Epidemiology
- Disciplines (Hasselt University):Probability theory, Statistics
- Research techniques (University of Antwerp):Statistical software
- Users of research expertise (University of Antwerp):Public health authorities
- See also: Steven Abrams (University of Antwerp)
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 2011 → Today - Faculty of Sciences (Faculty)
Member
From1 Oct 2011 → Today - Data Science Institute (Research institute)
Member
From1 Jun 2019 → 31 Mar 2022 - Social Epidemiology & Health Policy (SEHPO) (Research group)
Member
From1 Jan 2019 → Today - Global Health Institute (GHI) (Research group)
Member
From1 Oct 2018 → Today - Research Institute Center for Statistics (Research institute)
Member
From1 Oct 2011 → 31 May 2019 - Applied Mathematics (Department)
Member
From1 Oct 2011 → 31 Dec 2012
Projects
1 - 8 of 8
- The Belgian Pandemic Intelligence Network (BE-PIN)From1 Dec 2023 → TodayFunding: BELSPO - POST-COVID project
- Public health decision making with stochastic individual-based models: a translational framework driven by advances in health economics, model inference and reinforcement learning (ACCELERATE)From1 Jan 2023 → TodayFunding: FWO research project (including WEAVE projects)
- Efficient and rapidly SCAlable EU-wide evidence-driven Pandemic response plans through dynamic Epidemic data assimilationFrom1 Jan 2023 → TodayFunding: HORIZON.2.1 - Health
- Bernstein-based estimation of the cross-ratio functionFrom1 Jan 2022 → TodayFunding: FWO research project (including WEAVE projects)
- Nonparametric estimation of time-varying association measures for bivariate censored time-to-event dataFrom1 Oct 2020 → TodayFunding: BOF - projects
- DSI COVID-19 teamFrom15 Jun 2020 → 14 Jun 2022Funding: BOF - projects
- RESTORE: REalistic forecaSTing, cOntrol and pREparedness for coming COVID-19 wavesFrom22 May 2020 → 21 May 2021Funding: FWO Special Call for Covid-19 research projects
- Statistical methods to estimate infectious disease parameters and individual heterogeneity using multivariate serological dataFrom1 Jul 2017 → 31 Dec 2021Funding: BOF - Bilateral scientific cooperation
Publications
1 - 10 of 63
- Bernstein-based estimation of the cross ratio function(2024)
Authors: Steven ABRAMS, Ömer SERCIK, Noel VERAVERBEKE
Pages: 230 - 246 - Modeling antibody dynamics following herpes zoster indicates that higher varicella-zoster virus viremia generates more VZV-specific antibodies(2023)
Authors: H Besbassi, I Garcia-Fogeda, M Quinlivan, Judy Breuer, Steven ABRAMS, Niel HENS, Benson OGUNJIMI, P Beutels
- A digital toolkit to contextualize and visualize the benefit and risk of COVID-19 vaccines in the European union(2023)
Authors: Hector Gonzalez Dorta, Chantal Quinten, Daniel R. Morales Leaver, Catherine Cohet, Geert MOLENBERGHS, Niel HENS, Willem VAN LOOY, Jonas CREVECOEUR, Steven ABRAMS, Neil LOEDY, et al.
Pages: 298 - 299 - The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021(2023)
Authors: Minh Hanh NGUYEN, Trang NGUYEN, Geert MOLENBERGHS, Steven ABRAMS, Niel HENS, Christel FAES
Pages: 428 - Within-host modeling to measure dynamics of antibody responses after natural infection or vaccination: A systematic review(2023)
Authors: Irene Garcia-Fogeda, Hajar Besbassi, Ynke Larivière, Benson OGUNJIMI, Steven ABRAMS, Niel HENS
Pages: 3701 - 3709 - A Bayesian approach to estimate the probability of resistance to bedaquiline in the presence of a genomic variant(2023)
Authors: Degefaye Zelalem Anlay, Emmanuel Riviere, Pham Hien Trang Tu, Steven ABRAMS, Annelies Van Rie, Leonid Chindelevitch
- Evolution of human papilloma virus prevalence in a highly vaccinated region in Belgium: a retrospective cohort study in Flemish women (2010-2019)(2023)
Authors: Evelyne Huyghe, Steven ABRAMS, John-Paul Bogers, Veronique Verhoeven, Ina Benoy
Pages: 48 - 56 - Seroprevalence of IgG antibodies against SARS-CoV-2 – a serial prospective cross-sectional nationwide study of residual samples, Belgium, March to October 2020(2022)
Authors: Sereina HERZOG, Jessie De Bie, Steven ABRAMS, Ingrid WOUTERS, Esra Ekinci, Lisbeth Patteet, Astrid Coppens, Sandy De Spiegeleer, Philippe Beutels, Pierre Van Damme, et al.
- Nationwide implementation of online communication skills training to reduce overprescribing of antibiotics: a stepped-wedge cluster randomized trial in general practice(2022)
Authors: Leon D'Hulster, Steven ABRAMS, Robin BRUYNDONCKX, Sibyl Anthierens, Niels Adriaenssens, Chris C. Butler, Theo Verheij, Herman Goossens, Paul Little, Samuel COENEN
- Benefit risk contextualization of COVID-19 vaccines in the EU(2022)
Authors: Xavier Kurz, Catherine Cohet, Chantal Quinten, Geert MOLENBERGHS, Niel HENS, Steven ABRAMS, Lander WILLEM, Jonas CREVECOEUR, Neil LOEDY, Johan VERBEECK
Pages: 135 - 136
Linked dataset
1 - 2 of 2
- A Bayesian approach to estimate the probability of resistance to bedaquiline in the presence of a genomic variant (Creator)
- Single versus multiple dose ivermectin regimen in onchocerciasis-infected persons with epilepsy treated with phenobarbital: a randomized clinical trial in the Democratic Republic of Congo (Creator)