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<title>Artikel in Fachzeitschriften</title>
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<dc:date>2026-04-17T07:30:14Z</dc:date>
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<title>Ausbruch mit Salmonella Bochum unter Kindern und Jugendlichen</title>
<link>http://edoc.rki.de/176904/13619</link>
<description>Ausbruch mit Salmonella Bochum unter Kindern und Jugendlichen
Robert Koch-Institut
Das Robert Koch-Institut untersucht in Zusammenarbeit mit anderen Behörden des Infektionsschutzes und des Verbraucherschutzes ein Ausbruchsgeschehen von Salmonella enterica Serovar Bochum. Unter den 40 Erkrankungsfällen befinden sich überwiegend Kinder und Jugendliche, insbesondere im Osten Deutschlands. Anhand von Befragungen und einer Fall-Kontroll-Studie konnte als Ansteckungsquelle eine Nuss-Nougat-Creme identifiziert werden, in der auch im Rahmen von Eigenkontrollen beim Hersteller in bestimmten Chargen Salmonellen nachgewiesen wurden.; The Robert Koch Institute, in collaboration with other authorities responsible for infection control and consumer protection, is investigating an outbreak of Salmonella enterica serovar Bochum. The 40 cases of illness mainly involve children and adolescents, particularly in eastern Germany. Based on interviews and a case-control study, a nut nougat spread has been identified as the source of infection; salmonella was also detected in certain batches of this product in internal checks carried out by the manufacturer.
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<dc:date>2026-04-16T00:00:00Z</dc:date>
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<title>RKI-Ratgeber Tularämie</title>
<link>http://edoc.rki.de/176904/13618</link>
<description>RKI-Ratgeber Tularämie
Robert Koch-Institut
Tularämie ist eine zoonotische Erkrankung, die durch das Bakterium Francisella (F.) tularensis verursacht wird. Relevante Übertragungswege sind u. a. der Kontakt mit infektiösem Tiermaterial, der Verzehr von kontaminierten Lebensmitteln oder Wasser sowie der Biss/Stich von mit F. tularensis behafteten blutsaugenden Arthropoden. In Abhängigkeit vom Übertragungsweg, der Subspezies, der aufgenommenen Erregermenge und dem Zeitpunkt des Beginns einer gezielten Therapie führt eine Infektion mit F. tularensis zu eher milden oder sehr schweren Krankheitsverläufen. Der RKI-Ratgeber gibt einen Überblick über die Charakteristika des Erregers, Vorkommen, klinische Symptomatik, Diagnostik, Therapie sowie Präventiv- und Bekämpfungsmaßnahmen.; Tularemia is a zoonotic disease caused by the bacterium Francisella (F.) tularensis. Relevant routes of transmission include contact with infectious animal material, the consumption of contaminated food or water, and bites or stings from blood-sucking arthropods carrying F. tularensis. Depending on the route of transmission, the subspecies, the infectious dose, and the timing of the initiation of targeted therapy, an infection with F. tularensis may result in symptoms ranging from relatively mild to very severe. The RKI guide provides an overview of the characteristics of the pathogen, its occurrence, clinical symptoms, diagnosis, treatment, and preventive and control measures.
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<dc:date>2026-04-16T00:00:00Z</dc:date>
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<title>Antimicrobial Resistance Surveillance: Data Harmonisation and Data Selection within Secondary Data Use</title>
<link>http://edoc.rki.de/176904/13616</link>
<description>Antimicrobial Resistance Surveillance: Data Harmonisation and Data Selection within Secondary Data Use
Bleischwitz, Sinja; Winkelmann, Tristan Salomon; Pfeifer, Yvonne; Fischer, Martin Alexander; Pfennigwerth, Niels; Hammerl, Jens André; Binsker, Ulrike; Hans, Jörg B.; Gatermann, Sören; Käsbohrer, Annemarie; Werner, Guido; Kreienbrock, Lothar
Resistance to last-resort antibiotics is a global threat to public health. Therefore, surveillance and monitoring systems for antimicrobial resistance should be established on a national and international scale. For the development of a One Health surveillance system, we collected exemplary data on carbapenem and colistin-resistant bacterial isolates from human, animal, food, and environmental sources. We pooled secondary data from routine screenings, hospital outbreak investigations, and studies on antimicrobial resistance. For a joint One Health evaluation, this study incorporates epidemiological metadata with phenotypic resistance information and molecular data on the isolate level. To harmonise the heterogeneous original information for the intended use, we developed a generic strategy. By defining and categorising variables, followed by plausibility checks, we created a catalogue for prospective data collections and applied it to our dataset, enabling us to perform preliminary descriptive statistical analyses. This study shows the complexity of data management using heterogeneous secondary data pools and gives an insight into the early stages of the development of an AMR surveillance programme using secondary data.
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<dc:date>2024-07-16T00:00:00Z</dc:date>
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<item rdf:about="http://edoc.rki.de/176904/13613">
<title>Determinants of Mental Health Inequalities Among People With Selected Citizenships in Germany</title>
<link>http://edoc.rki.de/176904/13613</link>
<description>Determinants of Mental Health Inequalities Among People With Selected Citizenships in Germany
Blume, Miriam; Bartig, Susanne; Wollgast, Lina; Koschollek, Carmen; Kajikhina, Katja; Bug, Marleen; Hapke, Ulfert; Hövener, Claudia
Objectives:&#13;
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Mental health is essential for overall health and is influenced by different social determinants. The aim of this paper was to examine which determinants are associated with mental health inequalities among people with selected citizenships in Germany.&#13;
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Methods:&#13;
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Data were derived from the multilingual interview survey “German Health Update: Fokus (GEDA Fokus)” among adults with Croatian, Italian, Polish, Syrian, or Turkish citizenship (11/2021–05/2022). Poisson regressions were used to calculate prevalence ratios for symptoms of depression (PHQ-9) and anxiety disorder (GAD-7).&#13;
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Results:&#13;
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Sociodemographic (sex, income, age, household size) and psychosocial (social support and self-reported discrimination) determinants were associated with symptoms of depression and/or anxiety disorder. The prevalence of mental disorders varied most by self-reported discrimination.&#13;
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Conclusion:&#13;
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Our findings suggest mental health inequalities among people with selected citizenships living in Germany. To reduce these, social inequities and everyday discrimination need to be addressed in structural prevention measures as well as in interventions on the communal level. Protective factors (e.g., social support) are also important to reduce mental health inequalities on the individual and community level.
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<dc:date>2024-08-27T00:00:00Z</dc:date>
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