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<dc:date>2026-04-14T06:35:11Z</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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<title>Abstracts from the Workshop on Vancomycin-resistant  Enterococcus (VRE) 2026</title>
<link>http://edoc.rki.de/176904/13615</link>
<description>Abstracts from the Workshop on Vancomycin-resistant  Enterococcus (VRE) 2026
Robert Koch-Institut
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<dc:date>2026-04-10T00:00:00Z</dc:date>
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<title>GrippeWeb-Wochenbericht KW14</title>
<link>http://edoc.rki.de/176904/13614</link>
<description>GrippeWeb-Wochenbericht KW14
Lehfeld, Ann-Sophie; Haas, Walter; Loenenbach, Anna; Prahm, Kerstin; Preuß, Ute; Eberle, Carolin; Hoffmeister, Melanie; Michel, Janine; AMELAG-Team; Buchholz, Udo
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<dc:date>2026-04-10T00:00:00Z</dc:date>
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<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;
&#13;
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;
&#13;
Methods:&#13;
&#13;
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;
&#13;
Results:&#13;
&#13;
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;
&#13;
Conclusion:&#13;
&#13;
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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