10 hasil untuk "Nikolas Popper"

OSSDIP: Open Source Secure Data Infrastructure and Processes Supporting Data Visiting

Martin Weise; Filip Kovacevic; Nikolas Popper dkk.

Data Science Journal, Vol. 21 No. 1 · 2022 · Inggris · DOAJ Scopus

Meeting the conflicting goals of protecting and maintaining control over sensitive data while also allowing access by third parties constitutes a significant challenge. Secure data infrastructures support data visiting in a highly controlled and monitored environment which, if properly set-up and…

Why should we apply ABM for decision analysis for infectious diseases?—An example for dengue interventions

Florian Miksch; Beate Jahn; Kurt Junshean Espinosa dkk.

PLOS ONE, Vol. 14 No. 8 · 2019 · Inggris · PLOS Scopus

For the evaluation of infectious-diseases interventions, the transmissible nature of such diseases plays a central role. Agent-based models (ABM) allow for dynamic transmission modeling but publications are limited. We aim to provide an overview of important characteristics of ABM for…

Juga tersedia di: DOAJ

Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling

Günter Schneckenreither; Philipp Tschandl; Claire Rippinger dkk.

PLOS Computational Biology, Vol. 17 No. 2 · 2021 · Inggris · PLOS Scopus

Spatio-temporal patterns of melanocytic proliferations observed in vivo are important for diagnosis but the mechanisms that produce them are poorly understood. Here we present an agent-based model for simulating the emergence of the main biologic patterns found in melanocytic proliferations. Our…

Juga tersedia di: DOAJ

Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation

Nikolas Popper; Melanie Zechmeister; Dominik Brunmeir dkk.

Data Science Journal, Vol. 20 No. 1 · 2021 · Inggris · DOAJ Scopus

We generate synthetic data documenting COVID-19 cases in Austria by the means of an agent-based simulation model. The model simulates the transmission of the SARS-CoV-2 virus in a statistical replica of the population and reproduces typical patient pathways on an individual basis while…

Supporting COVID-19 policy-making with a predictive epidemiological multi-model warning system

Martin Bicher; Martin Zuba; Lukas Rainer dkk.

Communications Medicine, Vol. 2 No. 1 · 2022 · Inggris · DOAJ Scopus

Bicher, Zuba et al. consolidate the output of three epidemiological models to perform weekly forecasts of COVID-19 cases and required hospital beds. The predictions are more accurate than the individual models and enable planning of health care and COVID-19 interventions by national decision-makers.

Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria

Katharina Ledebur; Michaela Kaleta; Jiaying Chen dkk.

PLOS Computational Biology, Vol. 18 No. 4 · 2022 · Inggris · PLOS Scopus

The drivers behind regional differences of SARS-CoV-2 spread on finer spatio-temporal scales are yet to be fully understood. Here we develop a data-driven modelling approach based on an age-structured compartmental model that compares 116 Austrian regions to a suitably chosen control set of regions…

Juga tersedia di: DOAJ

Targeted COVID-19 Vaccination (TAV-COVID) Considering Limited Vaccination Capacities—An Agent-Based Modeling Evaluation

Beate Jahn; Gaby Sroczynski; Martin Bicher dkk.

Vaccines, Vol. 9 No. 5 · 2021 · Inggris · DOAJ Scopus

(1) Background: The Austrian supply of COVID-19 vaccine is limited for now. We aim to provide evidence-based guidance to the authorities in order to minimize COVID-19-related hospitalizations and deaths in Austria. (2) Methods: We used a dynamic agent-based population model to compare different…