A5075588783- Point processes and geometric inequalities
- Morphological variations and asymmetry
- Spatial and Panel Data Analysis
- Land Use and Ecosystem Services
- Data-Driven Disease Surveillance
- Reproductive tract infections research
- Health Systems, Economic Evaluations, Quality of Life
- Remote Sensing and LiDAR Applications
- Advanced Causal Inference Techniques
- Chronic Disease Management Strategies
- Bacterial Infections and Vaccines
- Soil Geostatistics and Mapping
- Complex Network Analysis Techniques
- Regional Economics and Spatial Analysis
- Collagen: Extraction and Characterization
- COVID-19 epidemiological studies
- demographic modeling and climate adaptation
- 3D Shape Modeling and Analysis
- Economic and Environmental Valuation
- Geochemistry and Geologic Mapping
- Data Management and Algorithms
- Meteorological Phenomena and Simulations
- Statistical Methods and Inference
- Human Mobility and Location-Based Analysis
- Topological and Geometric Data Analysis
Humboldt-Universität zu Berlin
2015-2024
Robert Koch Institute
2019-2021
Universitat Jaume I
2020
University Medical Center Hamburg-Eppendorf
2012-2016
Universität Hamburg
2012-2016
Federal Institute for Risk Assessment
2015
Freie Universität Berlin
1979-2006
One of the most important forecasting problems over eastern Atlantic Ocean is prediction rapid cyclogenesis culminating in storms full hurricane intensity. Such events happen about 3–5 times per cold season. Numerical prognoses conspicuously fail to anticipate these intense developments. On other hand, a very characteristic shape appears satellite imagery early stage deepening, or even sooner, when nothing except weak wave seen on surface map. The cirrus cloud configuration resembles solid...
To analyze the impact of multimorbidity (MM) on health care costs taking into account data heterogeneity.Data come from a multicenter prospective cohort study 1,050 randomly selected primary patients aged 65 to 85 years suffering MM in Germany. was defined as co-occurrence ≥3 conditions list 29 chronic diseases. A conditional inference tree (CTREE) algorithm used detect underlying structure and most influential variables inpatient care, outpatient medications well formal informal nursing...
Abstract Within the applications of spatial point processes, it is increasingly becoming common that events are labelled by marks, prompting an exploration beyond distribution incorporating marks in undertaken analysis. In this paper, we first consider marked processes $$\mathbb {R}^2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mrow> <mml:mi>R</mml:mi> </mml:mrow> <mml:mn>2</mml:mn> </mml:msup> </mml:math> , where either integer-valued, real-valued, or...
The rising prevalence of chronic conditions constitutes a major burden for patients and healthcare systems is predicted to increase in the upcoming decades. Improving self-management skills strategy steer against this burden. This could lead better outcomes lower costs. Health coaching one method enhancing can be delivered by phone. effects telephone-based health are promising, but still inconclusive. Economic evaluations studies examining transferability different rare. Aim study evaluate...
Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress data collection and storage capacities has yielded an immense increase process highly challenging non-scalar marks, methods their analysis are not equally well developed. In particular, there no composition-valued i.e. vector-valued a sum-to-constant constrain (typically 1 or 100). Prompted by need suitable methodological framework, we extend existing to...
In this paper we analysed healthcare costs in a sample of elderly patients suffering from multimorbidity. On the one hand, multimorbid individuals consume disproportionally large share resources. other patient specific number and combination co-occurring single diseases result inhomogeneous data leading to biased estimates when using traditional regression techniques. Therefore, applied mixture regressions order control for unobserved heterogeneity focussing on identification multimorbidity...
This paper presents an alternative approach of analyzing possibly multitype point patterns in space and space-time that occur on network structures, introduces several different graph-related intensity measures. The proposed formalism allows to control for processes undirected, directional as well partially directed structures is not restricted linearity or circularity.
The analysis of correlation structures among multivariate spatially aggregated data has become increasingly important and poses substantial challenges. This article concerns the development partial semi‐partial statistics spatial associations in context areal extending Moran's I Geary's C . proposed statistical tools describe global or local measurements for pairs different components conditional on all remaining components. new are tested through a simulation study illustrated using...
Background In an outbreak of hepatitis A among men who have sex with (MSM) in Berlin (2016 and 2017), patients frequently reported anonymous use dating applications to meet sexual contacts, hampering tracing vaccination contacts. Aim Our objective was evaluate apps websites as a means spreading prevention messages MSM during the ongoing outbreak. Methods Advertisements different formats were placed on three eight for weeks March April 2017. We calculated frequency ads shown click-through...
Abstract We are grateful to all discussants for their invaluable comments, suggestions, questions, and contributions our article. have attentively reviewed discussions with keen interest. In this rejoinder, objective is address engage points raised by the in a comprehensive considerate manner. Consistently, we identify discussants, alphabetical order, as follows: CJK Cronie, Jansson, Konstantinou, DS Stoyan, GP Grabarnik Pommerening, MRS Myllymäki, Rajala, Särkkä, MCvL van Lieshout...
Summary Prompted by modern technologies in data acquisition, the statistical analysis of spatially distributed function‐valued quantities has attracted a lot attention recent years. In particular, combinations functional variables and spatial point processes yield highly challenging instance such applications. Indeed, random configurations, where attributes themselves are functions rather than scalar‐valued quantities, is just its infancy, extensions to still remain limited. this view, we...
Summary This paper discusses the application of graphical modelling in statistical analysis marked point patterns. We consider a multivariate planar process with quantitative marks. After survey methods for processes, new model is presented. The sub‐processes points identical discrete marks are identified nodes graph, which used to describe aspects spatial relationship: If two sub‐patterns similar, then an arc made between corresponding nodes. Similarity defined based on spectral densities,...
Seasonality in tuberculosis (TB) has been found different parts of the world, showing a peak spring/summer and trough autumn/winter. The evidence is less clear which factors drive seasonality. It was our aim to identify evaluate seasonality notifications TB Germany, additionally investigating possible variance by disease site, sex age group.We conducted an integer-valued time series analysis using national surveillance data. We analysed reported monthly numbers started treatments between...
Abstract Previous studies found that the risk of a femoral fracture in residents newly admitted to nursing homes was highest during first months after admission and declined thereafter. Many home admissions are preceded by hospitalization. Therefore, present study aimed analyze if similar pattern fall-related fractures could also be observed community-dwelling people at discharge from hospital. Routine data more than 690,000 German aged 65 years older with 2 million hospital discharges were...
This paper proposes a novel graphical model, termed the spatial dependence graph which captures global structure of different events that occur randomly in space. In edge set is identified by using conditional partial spectral coherence. Thereby, nodes are related to components multivariate point process and edges express orthogonality relation between single components. introduces an efficient approach towards pattern analysis highly structured high dimensional processes. Unlike all...
Abstract The last decade has witnessed an increase of interest in the spatial analysis structured point patterns over networks whose is challenging because geometrical complexities and unique methodological problems. In this context, it essential to incorporate network specificity into as locations events are restricted areas covered by line segments. Relying on concepts originating from graph theory, we extend notions first-order intensity functions second-order local functions. We consider...
Abstract This paper introduces a new class of partial summary characteristics for two types marked planar point processes. We consider purely qualitatively spatial processes and multitype with quantitative marks. After survey classical functional quantitatively processes, the is presented. These are defined through periodogram, which makes computations efficient. demonstrate application our method in analysis multispecies tree data recorded City Melbourne.
Aiming to achieve new insights into rabies dynamics, this paper is the first investigate fox in Germany from a space-time pattern perspective. Based on locally restricted dataset covering fourteen month period, our findings indicate strongly aggregated spatiotemporal point resulting an inhomogeneous stochastic process. In contrast spatial or temporal approaches cellular automata, analysis focuses disease dynamics time and space continuous domain. Our confirm existing theories regarding...