TY - GEN A1 - Westphal, Andrea A1 - Lazarides, Rebecca A1 - Vock, Miriam T1 - Are some students graded more appropriately than others? BT - student characteristics as moderators of the relationships between teacher-assigned grades and test scores in mathematics T2 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe N2 - Background Building on the Realistic Accuracy Model, this paper explores whether it is easier for teachers to assess the achievement of some students than others. Accordingly, we suggest that certain individual characteristics of students, such as extraversion, academic self-efficacy, and conscientiousness, may guide teachers' evaluations of student achievement, resulting in more appropriate judgements and a stronger alignment of assigned grades with students' actual achievement level (as measured using standardized tests). Aims We examine whether extraversion, academic self-efficacy, and conscientiousness moderate the relations between teacher-assigned grades and students' standardized test scores in mathematics. Sample This study uses a representative sample of N = 5,919 seventh-grade students in Germany (48.8% girls; mean age: M = 12.5, SD = 0.62) who participated in a national, large-scale assessment focusing on students' academic development. Methods We specified structural equation models to examine the inter-relations of teacher-assigned grades with students' standardized test scores in mathematics, Big Five personality traits, and academic self-efficacy, while controlling for students' socioeconomic status, gender, and age. Results The correlation between teacher-assigned grades and standardized test scores in mathematics was r = .40. Teacher-assigned grades more closely related to standardized test scores when students reported higher levels of conscientiousness (beta = .05, p = .002). Students' extraversion and academic self-efficacy did not moderate the relationship between teacher-assigned grades and standardized test scores. Conclusions Our findings indicate that students' conscientiousness is a personality trait that seems to be important when it comes to how closely mathematics teachers align their grades to standardized test scores. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 853 KW - teacher‐ assigned grades KW - teacher judgements KW - Realistic Accuracy KW - Model KW - Big Five personality traits Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-563330 SN - 1866-8364 IS - 3 ER - TY - JOUR A1 - Westphal, Andrea A1 - Lazarides, Rebecca A1 - Vock, Miriam T1 - Are some students graded more appropriately than others? BT - student characteristics as moderators of the relationships between teacher-assigned grades and test scores in mathematics JF - British journal of educational psychology N2 - Background Building on the Realistic Accuracy Model, this paper explores whether it is easier for teachers to assess the achievement of some students than others. Accordingly, we suggest that certain individual characteristics of students, such as extraversion, academic self-efficacy, and conscientiousness, may guide teachers' evaluations of student achievement, resulting in more appropriate judgements and a stronger alignment of assigned grades with students' actual achievement level (as measured using standardized tests). Aims We examine whether extraversion, academic self-efficacy, and conscientiousness moderate the relations between teacher-assigned grades and students' standardized test scores in mathematics. Sample This study uses a representative sample of N = 5,919 seventh-grade students in Germany (48.8% girls; mean age: M = 12.5, SD = 0.62) who participated in a national, large-scale assessment focusing on students' academic development. Methods We specified structural equation models to examine the inter-relations of teacher-assigned grades with students' standardized test scores in mathematics, Big Five personality traits, and academic self-efficacy, while controlling for students' socioeconomic status, gender, and age. Results The correlation between teacher-assigned grades and standardized test scores in mathematics was r = .40. Teacher-assigned grades more closely related to standardized test scores when students reported higher levels of conscientiousness (beta = .05, p = .002). Students' extraversion and academic self-efficacy did not moderate the relationship between teacher-assigned grades and standardized test scores. Conclusions Our findings indicate that students' conscientiousness is a personality trait that seems to be important when it comes to how closely mathematics teachers align their grades to standardized test scores. KW - teacher‐ assigned grades KW - teacher judgements KW - Realistic Accuracy KW - Model KW - Big Five personality traits Y1 - 2020 U6 - https://doi.org/10.1111/bjep.12397 SN - 0007-0998 SN - 2044-8279 VL - 91 IS - 3 SP - 865 EP - 881 PB - Wiley CY - Hoboken ER - TY - THES A1 - Spooner, Cameron T1 - How does lithospheric configuration relate to deformation in the Alpine region? T1 - Was ist der Zusammenhang zwischen der lithosphärischen Zusammensetzung der Alpen, ihrer Vorländer und deren Deformation? N2 - Forming as a result of the collision between the Adriatic and European plates, the Alpine orogen exhibits significant lithospheric heterogeneity due to the long history of interplay between these plates, other continental and oceanic blocks in the region, and inherited features from preceeding orogenies. This implies that the thermal and rheological configuration of the lithosphere also varies significantly throughout the region. Lithology and temperature/pressure conditions exert a first order control on rock strength, principally via thermally activated creep deformation and on the distribution at depth of the brittle-ductile transition zone, which can be regarded as the lower bound to the seismogenic zone. Therefore, they influence the spatial distribution of seismicity within a lithospheric plate. In light of this, accurately constrained geophysical models of the heterogeneous Alpine lithospheric configuration, are crucial in describing regional deformation patterns. However, despite the amount of research focussing on the area, different hypotheses still exist regarding the present-day lithospheric state and how it might relate to the present-day seismicity distribution. This dissertaion seeks to constrain the Alpine lithospheric configuration through a fully 3D integrated modelling workflow, that utilises multiple geophysical techniques and integrates from all available data sources. The aim is therefore to shed light on how lithospheric heterogeneity may play a role in influencing the heterogeneous patterns of seismicity distribution observed within the region. This was accomplished through the generation of: (i) 3D seismically constrained, structural and density models of the lithosphere, that were adjusted to match the observed gravity field; (ii) 3D models of the lithospheric steady state thermal field, that were adjusted to match observed wellbore temperatures; and (iii) 3D rheological models of long term lithospheric strength, with the results of each step used as input for the following steps. Results indicate that the highest strength within the crust (~ 1 GPa) and upper mantle (> 2 GPa), are shown to occur at temperatures characteristic for specific phase transitions (more felsic crust: 200 – 400 °C; more mafic crust and upper lithospheric mantle: ~600 °C) with almost all seismicity occurring in these regions. However, inherited lithospheric heterogeneity was found to significantly influence this, with seismicity in the thinner and more mafic Adriatic crust (~22.5 km, 2800 kg m−3, 1.30E-06 W m-3) occuring to higher temperatures (~600 °C) than in the thicker and more felsic European crust (~27.5 km, 2750 kg m−3, 1.3–2.6E-06 W m-3, ~450 °C). Correlation between seismicity in the orogen forelands and lithospheric strength, also show different trends, reflecting their different tectonic settings. As such, events in the plate boundary setting of the southern foreland correlate with the integrated lithospheric strength, occurring mainly in the weaker lithosphere surrounding the strong Adriatic indenter. Events in the intraplate setting of the northern foreland, instead correlate with crustal strength, mainly occurring in the weaker and warmer crust beneath the Upper Rhine Graben. Therefore, not only do the findings presented in this work represent a state of the art understanding of the lithospheric configuration beneath the Alps and their forelands, but also a significant improvement on the features known to significantly influence the occurrence of seismicity within the region. This highlights the importance of considering lithospheric state in regards to explaining observed patterns of deformation. N2 - Als Resultat der Kollision zwischen der Adriatischen und Europäischen Platte ist das Alpenorogen durch eine ausgeprägte Heterogenität der Lithosphäreneigenschaften gekennzeichnet, die auf die Geschichte der beiden Platten, ihre Interaktion, Wechselwirkungen mit anderen kontinentalen und ozeanischen Blöcken der Region und strukturell vererbte Merkmale aus früheren Orogenesen zurückzuführen sind. Entsprechend ist zu erwarten, dass die thermische und rheologische Konfiguration der Lithosphäre ebenfalls grundlegend innerhalb der Region variiert. Lithologie und Temperatur-/Druckbedingungen steuern maßgeblich die Festigkeit der Lithosphäre indem thermisch aktiviertes Kriechen die Tiefenlage der spröd-duktilen Übergangszone – die sogenannte brittle-ductile transition (BDT) bestimmt. Diese Tiefenlage kann als untere Grenze der seismogenen Zone betrachtet werden kann, weshalb sie die räumliche Verteilung der Seismizität in der Lithosphärenplatte entscheidend beeinflusst. Trotz der langjährigen und umfangreichen Forschung zur Dynamik und Struktur der Alpen gibt es immer noch verschiedene Hypothesen zum heutigen physikalischen Zustand des Systems und dazu, wie dieser mit der Verteilung und dem Auftreten von Seismizität zusammenhängt. Diese Dissertation hat das Ziel, die Lithosphärenkonfiguration der Alpen zu beschreiben und Zusammenhänge zwischen der Verteilung lithosphärischer Eigenschaften und Deformation, insbesondere der Verteilung der Seismizität abzuleiten. Dies wird durch einen integrierten Modellierungsansatz erreicht, mit dem verfügbare geophysikalische Beobachtungen in 3D Modellen zusammengeführt werden, die die heterogene lithosphärische Konfiguration abbilden. Dazu wird (1) ein mit geologischen, seismischen und gravimetrischen Daten konsistentes 3D-Dichtemodell erzeugt und genutzt, um Lithologien abzuleiten, (2) deren Konsequenzen für das dreidimensionale stationäre thermische Feld zu berechnen und, basierend darauf, schließlich (3) die räumliche Variation der Lithosphärenrheologie zu bestimmen. Diese räumliche Variation der rheologischen Eigenschaften wurde schließlich in Beziehung zur Verteilung der auftretenden Seismizität gesetzt. Die Ergebnisse zeigen, dass die größte Festigkeit innerhalb der Kruste (~1 GPa) und im oberen Mantel (> 2 GPa) oberhalb der Bereiche auftritt, wo Temperaturbedingte Phasenübergänge zu erwarten sind. Für die felsische Kruste umfasst dies den Temperaturbereich bis etwa 400° C, für die mafische Kruste und den lithospärischen Mantel bis etwa 600°, wobei Seismizität jeweils oberhalb dieser Temperaturen auftritt. Zusätzlich wurden Hinweise gefunden, dass diese Festigkeitsverteilung auf vererbte Lithosphäreneigenschaften zurückzuführen ist: so tritt seismische Aktivität in der dünneren und mafischen Adria Kruste (~22,5 km, 2.800 kg m-3, 1.30E -06 W m-3) bei höheren Temperatur (~600° C) auf als in der dickeren und eher felsischen europäischen Kruste (~27.5 km, 2750 kg m−3, 1.3–2.6E-06 W m-3, ~450 °C). Die Beziehung zwischen seismischer Aktivität und Lithosphärenfestigkeit im Bereich der Vorländer zeigt ebenfalls unterschiedliche Trends, die verschiedenene tektonische Randbedingungen wiederspiegeln. Während im Plattenrandsetting des südlichen Vorlands Seismizität in der rheologisch weicheren Lithosphäre in der Umrandung des adriatischen Indentors auftritt, korreliert die auftretende Seismizität im Intraplattensetting des nördlichen Vorlands räumlich mit wärmeren und rheologisch schwächeren Domänen im Bereich des Oberrheingrabens. Somit liefern die Ergebnisse in dieser Arbeit nicht nur ein verbessertes Verständnis der Lithosphärenkonfiguration der Alpen und ihrer Vorländer , sondern auch einen bedeutenden Fortschritt dazu, welche Faktoren Seismizität innerhalb der Region beeinflussen können. Sie zeigen, dass es wichtig ist, die Lithosphärenkonfiguration zu kennen und sie zur auftretenden Deformation in Beziehung zu setzen. KW - Gravity KW - Thermal KW - Rheology KW - Model KW - Alps KW - Alpen KW - Schwerkraft KW - Modell KW - Rheologie KW - Thermisch Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-516442 ER - TY - JOUR A1 - Maier, Corinna A1 - Hartung, Niklas A1 - de Wiljes, Jana A1 - Kloft, Charlotte A1 - Huisinga, Wilhelm T1 - Bayesian Data Assimilation to Support Informed Decision Making in Individualized Chemotherapy JF - CPT: Pharmacometrics & Systems Pharmacology N2 - An essential component of therapeutic drug/biomarker monitoring (TDM) is to combine patient data with prior knowledge for model-based predictions of therapy outcomes. Current Bayesian forecasting tools typically rely only on the most probable model parameters (maximum a posteriori (MAP) estimate). This MAP-based approach, however, does neither necessarily predict the most probable outcome nor does it quantify the risks of treatment inefficacy or toxicity. Bayesian data assimilation (DA) methods overcome these limitations by providing a comprehensive uncertainty quantification. We compare DA methods with MAP-based approaches and show how probabilistic statements about key markers related to chemotherapy-induced neutropenia can be leveraged for more informative decision support in individualized chemotherapy. Sequential Bayesian DA proved to be most computationally efficient for handling interoccasion variability and integrating TDM data. For new digital monitoring devices enabling more frequent data collection, these features will be of critical importance to improve patient care decisions in various therapeutic areas. KW - Induced neutropenia KW - Model KW - Myelosuppression KW - Prediction Y1 - 2019 U6 - https://doi.org/10.1002/psp4.12492 SN - 2163-8306 VL - XX PB - Nature Publ. Group CY - London ER - TY - GEN A1 - Maier, Corinna A1 - Hartung, Niklas A1 - de Wiljes, Jana A1 - Kloft, Charlotte A1 - Huisinga, Wilhelm T1 - Bayesian Data Assimilation to Support Informed Decision Making in Individualized Chemotherapy T2 - Postprints der Universität Potsdam : Mathematisch Naturwissenschaftliche Reihe N2 - An essential component of therapeutic drug/biomarker monitoring (TDM) is to combine patient data with prior knowledge for model-based predictions of therapy outcomes. Current Bayesian forecasting tools typically rely only on the most probable model parameters (maximum a posteriori (MAP) estimate). This MAP-based approach, however, does neither necessarily predict the most probable outcome nor does it quantify the risks of treatment inefficacy or toxicity. Bayesian data assimilation (DA) methods overcome these limitations by providing a comprehensive uncertainty quantification. We compare DA methods with MAP-based approaches and show how probabilistic statements about key markers related to chemotherapy-induced neutropenia can be leveraged for more informative decision support in individualized chemotherapy. Sequential Bayesian DA proved to be most computationally efficient for handling interoccasion variability and integrating TDM data. For new digital monitoring devices enabling more frequent data collection, these features will be of critical importance to improve patient care decisions in various therapeutic areas. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 827 KW - Induced neutropenia KW - Model KW - Myelosuppression KW - Prediction Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-445500 SN - 1866-8372 IS - 827 ER - TY - GEN A1 - Sieg, Tobias A1 - Shinko, Thomas A1 - Vogel, Kristin A1 - Mechler, Reinhard A1 - Merz, Bruno A1 - Kreibich, Heidi T1 - Integrated assessment of short-term direct and indirect economic flood impacts including uncertainty quantification T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Understanding and quantifying total economic impacts of flood events is essential for flood risk management and adaptation planning. Yet, detailed estimations of joint direct and indirect flood-induced economic impacts are rare. In this study an innovative modeling procedure for the joint assessment of short-term direct and indirect economic flood impacts is introduced. The procedure is applied to 19 economic sectors in eight federal states of Germany after the flood events in 2013. The assessment of the direct economic impacts is object-based and considers uncertainties associated with the hazard, the exposed objects and their vulnerability. The direct economic impacts are then coupled to a supply-side Input-Output-Model to estimate the indirect economic impacts. The procedure provides distributions of direct and indirect economic impacts which capture the associated uncertainties. The distributions of the direct economic impacts in the federal states are plausible when compared to reported values. The ratio between indirect and direct economic impacts shows that the sectors Manufacturing, Financial and Insurance activities suffered the most from indirect economic impacts. These ratios also indicate that indirect economic impacts can be almost as high as direct economic impacts. They differ strongly between the economic sectors indicating that the application of a single factor as a proxy for the indirect impacts of all economic sectors is not appropriate. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 708 KW - June 2013 KW - Damage KW - Model KW - Inoperability KW - Disasters KW - Hazards KW - Germany KW - Losses KW - Event KW - Costs Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-429119 IS - 708 ER - TY - JOUR A1 - Sieg, Tobias A1 - Schinko, Thomas A1 - Vogel, Kristin A1 - Mechler, Reinhard A1 - Merz, Bruno A1 - Kreibich, Heidi T1 - Integrated assessment of short-term direct and indirect economic flood impacts including uncertainty quantification JF - PLoS ONE N2 - Understanding and quantifying total economic impacts of flood events is essential for flood risk management and adaptation planning. Yet, detailed estimations of joint direct and indirect flood-induced economic impacts are rare. In this study an innovative modeling procedure for the joint assessment of short-term direct and indirect economic flood impacts is introduced. The procedure is applied to 19 economic sectors in eight federal states of Germany after the flood events in 2013. The assessment of the direct economic impacts is object-based and considers uncertainties associated with the hazard, the exposed objects and their vulnerability. The direct economic impacts are then coupled to a supply-side Input-Output-Model to estimate the indirect economic impacts. The procedure provides distributions of direct and indirect economic impacts which capture the associated uncertainties. The distributions of the direct economic impacts in the federal states are plausible when compared to reported values. The ratio between indirect and direct economic impacts shows that the sectors Manufacturing, Financial and Insurance activities suffered the most from indirect economic impacts. These ratios also indicate that indirect economic impacts can be almost as high as direct economic impacts. They differ strongly between the economic sectors indicating that the application of a single factor as a proxy for the indirect impacts of all economic sectors is not appropriate. KW - June 2013 KW - Damage KW - Model KW - Inoperability KW - Disasters KW - Hazards KW - Germany KW - Losses KW - Event KW - Costs Y1 - 2019 U6 - https://doi.org/10.1371/journal.pone.0212932 SN - 1932-6203 VL - 14 IS - 4 PB - Public Library of Science CY - San Francisco ER - TY - GEN A1 - Delgado, José Miguel Martins A1 - Voss, Sebastian A1 - Bürger, Gerd A1 - Vormoor, Klaus Josef A1 - Murawski, Aline A1 - Rodrigues Pereira, José Marcelo A1 - Martins, Eduardo A1 - Vasconcelos Júnior, Francisco A1 - Francke, Till T1 - Seasonal drought prediction for semiarid northeastern Brazil BT - verification of six hydro-meteorological forecast products T2 - Hydrology and Earth System Sciences N2 - A set of seasonal drought forecast models was assessed and verified for the Jaguaribe River in semiarid northeastern Brazil. Meteorological seasonal forecasts were provided by the operational forecasting system used at FUNCEME (Ceará’s research foundation for meteorology)and by the European Centre for Medium-Range Weather Forecasts (ECMWF). Three downscaling approaches (empirical quantile mapping, extended downscaling and weather pattern classification) were tested and combined with the models in hindcast mode for the period 1981 to 2014. The forecast issue time was January and the forecast period was January to June. Hydrological drought indices were obtained by fitting a multivariate linear regression to observations. In short, it was possible to obtain forecasts for (a) monthly precipitation,(b) meteorological drought indices, and (c) hydrological drought indices. The skill of the forecasting systems was evaluated with regard to root mean square error (RMSE), the Brier skill score (BSS) and the relative operating characteristic skill score (ROCSS). The tested forecasting products showed similar performance in the analyzed metrics. Forecasts of monthly precipitation had little or no skill considering RMSE and mostly no skill with BSS. A similar picture was seen when forecasting meteorological drought indices: low skill regarding RMSE and BSS and significant skill when discriminating hit rate and false alarm rate given by the ROCSS (forecasting drought events of, e.g., SPEI1 showed a ROCSS of around 0.5). Regarding the temporal variation of the forecast skill of the meteorological indices, it was greatest for April, when compared to the remaining months of the rainy season, while the skill of reservoir volume forecasts decreased with lead time. This work showed that a multi-model ensemble can forecast drought events of timescales relevant to water managers in northeastern Brazil with skill. But no or little skill could be found in the forecasts of monthly precipitation or drought indices of lower scales, like SPI1. Both this work and those here revisited showed that major steps forward are needed in forecasting the rainy season in northeastern Brazil. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 476 KW - Hydrological drought KW - River-Basin KW - Model KW - Patterns KW - Precipitation KW - Variability KW - Nordeste Y1 - 2018 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-418461 ER - TY - JOUR A1 - Delgado, José Miguel Martins A1 - Voss, Sebastian A1 - Bürger, Gerd A1 - Vormoor, Klaus Josef A1 - Murawski, Aline A1 - Rodrigues Pereira, José Marcelo A1 - Martins, Eduardo A1 - Vasconcelos Júnior, Francisco A1 - Francke, Till T1 - Seasonal drought prediction for semiarid northeastern Brazil BT - verification of six hydro-meteorological forecast products JF - Hydrology and Earth System Sciences N2 - A set of seasonal drought forecast models was assessed and verified for the Jaguaribe River in semiarid northeastern Brazil. Meteorological seasonal forecasts were provided by the operational forecasting system used at FUNCEME (Ceará’s research foundation for meteorology)and by the European Centre for Medium-Range Weather Forecasts (ECMWF). Three downscaling approaches (empirical quantile mapping, extended downscaling and weather pattern classification) were tested and combined with the models in hindcast mode for the period 1981 to 2014. The forecast issue time was January and the forecast period was January to June. Hydrological drought indices were obtained by fitting a multivariate linear regression to observations. In short, it was possible to obtain forecasts for (a) monthly precipitation,(b) meteorological drought indices, and (c) hydrological drought indices. The skill of the forecasting systems was evaluated with regard to root mean square error (RMSE), the Brier skill score (BSS) and the relative operating characteristic skill score (ROCSS). The tested forecasting products showed similar performance in the analyzed metrics. Forecasts of monthly precipitation had little or no skill considering RMSE and mostly no skill with BSS. A similar picture was seen when forecasting meteorological drought indices: low skill regarding RMSE and BSS and significant skill when discriminating hit rate and false alarm rate given by the ROCSS (forecasting drought events of, e.g., SPEI1 showed a ROCSS of around 0.5). Regarding the temporal variation of the forecast skill of the meteorological indices, it was greatest for April, when compared to the remaining months of the rainy season, while the skill of reservoir volume forecasts decreased with lead time. This work showed that a multi-model ensemble can forecast drought events of timescales relevant to water managers in northeastern Brazil with skill. But no or little skill could be found in the forecasts of monthly precipitation or drought indices of lower scales, like SPI1. Both this work and those here revisited showed that major steps forward are needed in forecasting the rainy season in northeastern Brazil. KW - Hydrological drought KW - River-Basin KW - Model KW - Patterns KW - Precipitation KW - Variability KW - Nordeste Y1 - 2018 U6 - https://doi.org/10.5194/hess-22-5041-2018 SN - 1027-5606 SN - 1607-7938 VL - 22 IS - 9 SP - 5041 EP - 5056 PB - Copernicus Publ. CY - Göttingen ER - TY - THES A1 - Vossenkuhl, Birgit T1 - Transmission of MRSA along the meat supply chain BT - A methodological concept from farm to fork N2 - Methicillin-resistente Staphylococcus aureus (MRSA) zählen zu den bedeutendsten antibiotikaresistenten Pathogenen, die vor allem in Krankenhäusern aber auch außerhalb von Einrichtungen des Gesundheitswesens weit verbreitet sind. Seit einigen Jahren ist eine neue Generation von MRSA auf dem Vormarsch, die vor allem Nutztierbestände als neue Nische besiedelt. Diese sogenannten Nutztier-assoziierten MRSA wurden wiederholt bei wirtschaftlich bedeutenden Nutztieren sowie daraus gewonnenem Fleisch nachgewiesen. Im Rahmen der vorliegenden Arbeit wurde ein methodischer Ansatz verfolgt, um die Hypothese einer möglichen Übertragung von Nutztier-assoziierten MRSA entlang der Lebensmittelkette vom Tier auf dessen Fleisch zu bestätigen. Angepasst an die Unterschiede in den verfügbaren Daten wurden dafür zwei neue Konzepte erstellt. Zur Analyse der Übertragung von MRSA entlang der Schlachtkette wurde ein mathematisches Modell des Schweineschlachtprozesses entwickelt, welches dazu geeignet ist, den Verlauf der MRSA-Prävalenz entlang der Schlachtkette zu quantifizieren sowie kritische Prozessschritte für eine MRSA-Übertragung zu identifizieren. Anhand von Prävalenzdaten ist es dem Modell möglich, die durchschnittlichen MRSA-Eliminations- und Kontaminationsraten jedes einzelnen Prozessschrittes zu schätzen, die anschließend in eine Monte-Carlo-Simulation einfließen. Im Ergebnis konnte gezeigt werden, dass es generell möglich ist, die MRSA Prävalenz im Laufe des Schlachtprozesses auf ein niedriges finales Niveau zwischen 0,15 bis 1,15% zu reduzieren. Vor allem das Brühen und Abflämmen der Schlachtkörper wurden als kritische Prozesse im Hinblick auf eine MRSA-Dekontamination identifiziert. In Deutschland werden regelmäßig MRSA-Prävalenz und Typisierungsdaten auf allen Stufen der Lebensmittelkette verschiedener Nutztiere erfasst. Um die MRSA-Daten dieser Querschnittstudie hinsichtlich einer möglichen Übertragung entlang der Kette zu analysieren, wurde ein neuer statistischer Ansatz entwickelt. Hierfür wurde eine Chi-Quadrat-Statistik mit der Berechnung des Czekanowski-Ähnlichkeitsindex kombiniert, um Unterschiede in der Verteilung stammspezifischer Eigenschaften zwischen MRSA aus dem Stall, von Karkassen nach der Schlachtung und aus Fleisch im Einzelhandel zu quantifizieren. Die Methode wurde am Beispiel der Putenfleischkette implementiert und zudem bei der Analyse der Kalbfleischkette angewendet. Die durchgehend hohen Ähnlichkeitswerte zwischen den einzelnen Proben weisen auf eine mögliche Übertragung von MRSA entlang der Lebensmittelkette hin. Die erarbeiteten Methoden sind nicht spezifisch bezüglich Prozessketten und Pathogenen. Sie bieten somit einen großen Anwendungsbereich und erweitern das Methodenspektrum zur Bewertung bakterieller Übertragungswege. N2 - Methicillin resistant Staphylococcus aureus (MRSA) is one of the most important antibiotic-resistant pathogens in hospitals and the community. Recently, a new generation of MRSA, the so called livestock associated (LA) MRSA, has emerged occupying food producing animals as a new niche. LA-MRSA can be regularly isolated from economically important live-stock species including corresponding meats. The present thesis takes a methodological approach to confirm the hypothesis that LA-MRSA are transmitted along the pork, poultry and beef production chain from animals at farm to meat on consumers` table. Therefore two new concepts were developed, adapted to differing data sets. A mathematical model of the pig slaughter process was developed which simulates the change in MRSA carcass prevalence during slaughter with special emphasis on identifying critical process steps for MRSA transmission. Based on prevalences as sole input variables the model framework is able to estimate the average value range of both the MRSA elimination and contamination rate of each of the slaughter steps. These rates are then used to set up a Monte Carlo simulation of the slaughter process chain. The model concludes that regardless of the initial extent of MRSA contamination low outcome prevalences ranging between 0.15 and 1.15 % can be achieved among carcasses at the end of slaughter. Thus, the model demonstrates that the standard procedure of pig slaughtering in principle includes process steps with the capacity to limit MRSA cross contamination. Scalding and singeing were identified as critical process steps for a significant reduction of superficial MRSA contamination. In the course of the German national monitoring program for zoonotic agents MRSA prevalence and typing data are regularly collected covering the key steps of different food production chains. A new statistical approach has been proposed for analyzing this cross sectional set of MRSA data with regard to show potential farm to fork transmission. For this purpose, chi squared statistics was combined with the calculation of the Czekanowski similarity index to compare the distributions of strain specific characteristics between the samples from farm, carcasses after slaughter and meat at retail. The method was implemented on the turkey and veal production chains and the consistently high degrees of similarity which have been revealed between all sample pairs indicate MRSA transmission along the chain. As the proposed methods are not specific to process chains or pathogens they offer a broad field of application and extend the spectrum of methods for bacterial transmission assessment. KW - MRSA KW - Antibiotikaresistenz KW - Modell KW - Lebensmittelkette KW - Übertragung KW - MRSA KW - Resistance KW - Model KW - Food Chain KW - Transmission Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-85918 ER -