Barbara Glock

TU Wien | TU Wien · Institute of Analysis and Scientific Computing

A pressing task for future energy systems is the design and operation of systems that integrate large shares of renewable energy while improving overall system efficiency. Because buildings consume about 32 % of the total global final energy use, they are of vital importance. In recent years, technical and socio-economic studies, as well as hands-o...

A pressing task for future energy systems is the design and operation of systems that integrate large shares of renewable energy while improving overall system efficiency. Because buildings consume about 32 % of the total global final energy use, they are of vital importance. In recent years, technical and socioeconomic studies, as well as hands-on...

Objectives In healthcare it is crucial to have a fundamental knowledge of the burden of diseases within the population. Therefore we aimed to develop an Atlas of Epidemiology to gain better insight on the epidemiological situation. Based on primary and secondary health care data, we aimed to present results in interactive charts and maps, comprehen...

Purpose: Simulation of aspects of the health system, such as number of diseases, proportion of those needing a treatment, or nation-wide costs often require a valid representation of the population. Our goal is to test how two modeling methods can be parameterized based on given data and simulate the population accurately. Method(s): We developed...

Discrete-event simulation of hospitals typically specifies flow by means of a process graph through which patients are routed. While this is generally fine for models in which processes are clearly defined, e.g. smaller units such as emergency departments, it falls short of capturing the fact that a patient can in principle go from one unit to any...

In this work we present two structurally different mathematical models for the prognostic simulation of Austria’s population: A time-continuous, macroscopic system dynamics approach and a time-discrete, microscopic agent-based approach. Both models were developed as case studies of a series of population concepts in order to support models for deci...

In this work we present two structurally different mathematical models for the prognostic simulation of Austria's population: A time-continuous, macroscopic system dynamics approach and a time-discrete, microscopic agent-based approach. Both models were developed as case studies of a series of population concepts in order to support models for deci...

Health trusts are aiming to consolidate the clinical landscape: The provision of medical services, now handled by individual clinics, is to be transformed such that the patient volume can be redirected between different specialized service providers. As implication, hospital planning needs to embrace the subject of cross-clinical development rather...

During hospital planning, "flow-chart"-like depictions of processes (nodes and edges) are often overlaid over the floor plan of a clinic, in order to model patient pathways. However, such static definitions may not be accurate, as patients freely cross from one node into another, depending on individual treatment. Modelling each possible sequence o...

According to the Statistics Austria more than one third of the Austrian population suffers from at least one chronic disease. Therefore efficient tools for the evaluation of the prevalence of these diseases and possible treatment and/or prevention strategies are needed. When simulating a chronic disease usually a model part for population dynamics,...

When it comes to modeling diseases with inhomogeneous populations a modular setup can be useful, because specific parts of the model can be easily exchanged or altered. We propose a modular setup consisting of a population model and a separate disease model, which interact on a specifically defined interface. After that an economic cost model can b...