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Hajek A, Becher H, Brenner H, Holleczek B, Katzke V, Kaaks R, Minnerup H, Karch A, Baurecht H, Leitzmann M, Peters A, Gastell S, Ahrens W, Haug U, Nimptsch K, Pischon T, Michels KB, Dorrn A, Klett-Tammen CJ, Castell S, Willich SN, Keil T, Schipf S, Meinke-Franze C, Harth V, Obi N, König HH. Personality and the use of cancer screenings - Results of the German National Cohort. Prev Med Rep 2024; 41:102677. [PMID: 38533391 PMCID: PMC10963220 DOI: 10.1016/j.pmedr.2024.102677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Revised: 03/04/2024] [Accepted: 03/05/2024] [Indexed: 03/28/2024] Open
Abstract
Objective To determine the association between personality characteristics and use of different cancer screenings. Methods We used data from the German National Cohort (NAKO; mean age was 53.0 years (SD: 9.2 years)) - a population-based cohort study. A total of 132,298 individuals were included in the analyses. As outcome measures, we used (self-reported): stool examination for blood (haemoccult test, early detection of bowel cancer), colonoscopy (screening for colorectal cancer), skin examination for moles (early detection of skin cancer), breast palpation by a doctor (early detection of breast cancer), x-ray examination of the breast ("mammography", early detection of breast cancer), cervical smear test, finger examination of the rectum (early detection of prostate cancer), and blood test for prostate cancer (determination of Prostate-Specific Antigen level). The established Big Five Inventory-SOEP was used to quantify personality factors. It was adjusted for several covariates based on the Andersen model. Unadjusted and adjusted multiple logistic regressions were computed. Results A higher probability of having a skin examination for moles, for example, was associated with a higher conscientiousness (OR: 1.07, p < 0.001), higher extraversion (OR: 1.03, p < 0.001), higher agreeableness (OR: 1.02, p < 0.001), lower openness to experience (OR: 0.98, p < 0.001) and higher neuroticism (OR: 1.07, p < 0.001) among the total sample. Depending on the outcome used, the associations slightly varied. Conclusions Particularly higher levels of extraversion, neuroticism and conscientiousness are associated with the use of different cancer screenings. Such knowledge may help to better understand non-participation in cancer screening examinations from a psychological perspective.
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Affiliation(s)
- André Hajek
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
| | - Heiko Becher
- Heidelberg University Hospital, Heidelberg Institute of Global Health, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Bernd Holleczek
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Saarland Cancer Registry, Saarbrücken, Germany
| | - Verena Katzke
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rudolf Kaaks
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heike Minnerup
- Institute for Epidemiology and Social Medicine, Faculty of Medicine, University of Münster, Münster, Germany
| | - André Karch
- Institute for Epidemiology and Social Medicine, Faculty of Medicine, University of Münster, Münster, Germany
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, 93053 Regensburg, Germany
| | - Michael Leitzmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, 93053 Regensburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Sylvia Gastell
- German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Ulrike Haug
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Katharina Nimptsch
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany
- Max Delbrueck Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
- Charité - Universitaetsmedizin Berlin, Corporate Member of Freie Universitaet Berlin, Humboldt-Universitaet zu Berlin, Berlin, Germany
| | - Karin B. Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Anja Dorrn
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | | | - Stefanie Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, Brunswick, Germany
| | - Stefan N. Willich
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Sabine Schipf
- Institute for Community Medicine, Department SHIP/Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, Department SHIP/Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nadia Obi
- Institute for Occupational and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hans-Helmut König
- Department of Health Economics and Health Services Research, University Medical Center Hamburg-Eppendorf, Hamburg Center for Health Economics, Hamburg, Germany
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Holz A, Obi N, Ahrens W, Berger K, Bohn B, Brenner H, Fischer B, Fricke J, Führer A, Gastell S, Greiser KH, Harth V, Heise JK, Holleczek B, Keil T, Klett-Tammen CJ, Leitzmann M, Lieb W, Meinke-Franze C, Michels KB, Mikolajczyk R, Nimptsch K, Peters A, Pischon T, Riedel O, Schikowski T, Schipf S, Schmidt B, Schulze MB, Stang A, Hellwig K, Riemann-Lorenz K, Heesen C, Becher H. Childhood and adolescence factors and multiple sclerosis: results from the German National Cohort (NAKO). BMC Neurol 2024; 24:123. [PMID: 38614986 PMCID: PMC11015562 DOI: 10.1186/s12883-024-03620-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 04/02/2024] [Indexed: 04/15/2024] Open
Abstract
BACKGROUND Multiple Sclerosis (MS) represents the most common inflammatory neurological disease causing disability in early adulthood. Childhood and adolescence factors might be of relevance in the development of MS. We aimed to investigate the association between various factors (e.g., prematurity, breastfeeding, daycare attendance, weight history) and MS risk. METHODS Data from the baseline assessment of the German National Cohort (NAKO) were used to calculate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for the association between childhood and adolescence factors and risk of MS. Analyses stratified by sex were conducted. RESULTS Among a total of 204,273 participants, 858 reported an MS diagnosis. Male sex was associated with a decreased MS risk (HR 0.48; 95% CI 0.41-0.56), while overweight (HR 2.03; 95% CI 1.41-2.94) and obesity (HR 1.89; 95% CI 1.02-3.48) at 18 years of age compared to normal weight were associated with increased MS risk. Having been breastfed for ≤ 4 months was associated with a decreased MS risk in men (HR 0.59; 95% CI 0.40-0.86) compared to no breastfeeding. No association with MS risk was observed for the remaining factors. CONCLUSIONS Apart from overweight and obesity at the age of 18 years, we did not observe considerable associations with MS risk. The proportion of cases that can be explained by childhood and adolescence factors examined in this study was low. Further investigations of the association between the onset of overweight and obesity in childhood and adolescence and its interaction with physical activity and MS risk seem worthwhile.
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Affiliation(s)
- Anja Holz
- Institute of Medical Biometry and Epidemiology (IMBE), University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany.
- Institute of Tumor Biology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany.
| | - Nadia Obi
- Institute of Medical Biometry and Epidemiology (IMBE), University Medical Center Hamburg-Eppendorf (UKE), Martinistr. 52, 20246, Hamburg, Germany
- Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
- University Bremen, Bremen, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | | | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Division of Preventive Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Beate Fischer
- Institute for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Amand Führer
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Sylvia Gastell
- NAKO Study Center, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Karin Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Volker Harth
- Institute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | | | | | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- State Institute of Health I, Bavarian Health and Food Safety Authority, Erlangen, Germany
| | - Carolina J Klett-Tammen
- Department for Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany
| | - Michael Leitzmann
- Institute for Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Wolfgang Lieb
- Institute of Epidemiology, Kiel University, Kiel, Germany
| | - Claudia Meinke-Franze
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Karin B Michels
- Institute for Prevention and Cancer Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Rafael Mikolajczyk
- Institute for Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Medical School of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Katharina Nimptsch
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Tobias Pischon
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Oliver Riedel
- Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany
| | - Tamara Schikowski
- IUF - Leibniz Research Institute for Environmental Medicine, Düsseldorf, Germany
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Börge Schmidt
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Andreas Stang
- Institute for Medical Informatics, Biometry and Epidemiology, Medical Faculty, University Duisburg-Essen, Essen, Germany
- School of Public Health, Department of Epidemiology Boston University, 715 Albany Street, Talbot Building, Boston, MA, 02118, USA
| | - Kerstin Hellwig
- Katholisches Klinikum Bochum, Neurology Clinic, Clinic of Ruhr-Universität Bochum, Bochum, Germany
| | - Karin Riemann-Lorenz
- Center for Molecular Neurobiology Hamburg (ZMNH), Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Christoph Heesen
- Center for Molecular Neurobiology Hamburg (ZMNH), Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
- Department of Neurology, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Heiko Becher
- Institute of Global Health, University Hospital Heidelberg, Heidelberg, Germany
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Stein MJ, Fischer B, Bohmann P, Ahrens W, Berger K, Brenner H, Günther K, Harth V, Heise JK, Karch A, Klett-Tammen CJ, Koch-Gallenkamp L, Krist L, Lieb W, Meinke-Franze C, Michels KB, Mikolajczyk R, Nimptsch K, Obi N, Peters A, Pischon T, Schipf S, Schmidt B, Stang A, Thierry S, Willich SN, Wirkner K, Leitzmann MF, Sedlmeier AM. Differences in Anthropometric Measures Based on Sex, Age, and Health Status: Findings From the German National Cohort (NAKO). Dtsch Arztebl Int 2024:arztebl.m2024.0016. [PMID: 38377337 DOI: 10.3238/arztebl.m2024.0016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 02/22/2024]
Abstract
BACKGROUND Obesity is a worldwide health problem. We conducted detailed analyses of anthropometric measures in a comprehensive, population-based, current cohort in Germany. METHODS In the German National Cohort (NAKO), we analyzed cross-sectional data on body-mass index (BMI), waist and hip circumference, subcutaneous (SAT) and visceral adipose tissue (VAT) as measured by ultrasound, and body fat percentage. The data were stratified by sex, age, and self-reported physicians' diagnoses of cardiovascular diseases (CVD), metabolic diseases (MetD), cardiometabolic diseases (CMD), and cancer. RESULTS Data were available from 204 751 participants (age, 49.9 ± 12.8 years; 50.5% women). Body size measures generally increased with age. Men had a higher BMI, larger waist circumference, and more VAT than women, while women had a larger hip circumference, more SAT, and a higher body fat percentage than men. For example, the mean BMI of participants over age 60 was 28.3 kg/m2 in men and 27.6 kg/m2 in women. CVD, MetD, and CMD were associated with higher anthropometric values, while cancer was not. For example, the mean BMI was 25.3 kg/m2 in healthy women, 29.4 kg/m2 in women with CMD, and 25.4 kg/m2 in women with cancer. CONCLUSION Obesity is widespread in Germany, with notable differences between the sexes in anthropometric values. Obesity was more common in older participants and those with chronic diseases other than cancer. Elevated values were especially common in multimorbid individuals.
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4
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Klinger-König J, Erhardt A, Streit F, Völker MP, Schulze MB, Keil T, Fricke J, Castell S, Klett-Tammen CJ, Pischon T, Karch A, Teismann H, Michels KB, Greiser KH, Becher H, Karrasch S, Ahrens W, Meinke-Franze C, Schipf S, Mikolajczyk R, Führer A, Brandes B, Schmidt B, Emmel C, Leitzmann M, Konzok J, Peters A, Obi N, Brenner H, Holleczek B, Moreno Velásquez I, Deckert J, Baune BT, Rietschel M, Berger K, Grabe HJ. Childhood Trauma and Somatic and Mental Illness in Adulthood. Dtsch Arztebl Int 2024; 121:1-8. [PMID: 37876295 PMCID: PMC10916765 DOI: 10.3238/arztebl.m2023.0225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Revised: 10/10/2023] [Accepted: 10/10/2023] [Indexed: 10/26/2023]
Abstract
BACKGROUND Childhood trauma is associated with somatic and mental illness in adulthood. The strength of the association varies as a function of age, sex, and type of trauma. Pertinent studies to date have mainly focused on individual diseases. In this study, we investigate the association between childhood trauma and a multiplicity of somatic and mental illnesses in adulthood. METHODS Data from 156 807 NAKO Health Study participants were analyzed by means of logistic regressions, with adjustment for age, sex, years of education, and study site. The Childhood Trauma Screener differentiated between no/minor (n = 115 891) and moderate/severe childhood trauma (n = 40 916). The outcome variables were medical diagnoses of five somatic and two mental health conditions as stated in the clinical history. RESULTS Persons with childhood trauma were more likely to bear a diagnosis of all of the studied conditions: cancer (odds ratio [OR] = 1.10; 95% confidence interval: [1.05; 1.15]), myocardial infarction (OR = 1.13 [1.03; 1.24]), diabetes (OR = 1.16, [1.10; 1.23]), stroke (OR = 1.35 [1.23; 1.48]), chronic obstructive pulmonary disease (OR = 1.45 [1.38; 1.52]), depression (OR = 2.36 [2.29; 2.43]), and anxiety disorders (OR = 2.08 [2.00; 2.17]). All of these associations were stronger in younger persons, regardless of the nature of childhood trauma. Differences between the sexes were observed only for some of these associations. CONCLUSION Childhood trauma was associated with a higher probability of developing mental as well as somatic illness in adulthood. As childhood trauma is an element of individual history that the victim has little to no control over, and because the illnesses that can arise in adulthood in association with it are a heavy burden on the affected persons and on society, there is a need for research on these associations and for the development of preventive measures.
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Affiliation(s)
- Johanna Klinger-König
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Angelika Erhardt
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
- Max Planck Institute of Psychiatry, Munich, Germany
| | - Fabian Streit
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Maja P. Völker
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Thomas Keil
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Berlin, Germany
- Institute of Clinical Epidemiology and Biometry, University of Würzburg, Würzburg, Germany
- State Institute of Health I, Bavarian State Office for Health and Food Safety, Erlangen, Germany
| | - Julia Fricke
- Institute of Social Medicine, Epidemiology and Health Economics, Charité – Universitätsmedizin Berlin, Berlin, Germany
| | - Stefanie Castell
- Department of Epidemiology, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany
| | - Carolina J. Klett-Tammen
- Department of Epidemiology, Helmholtz Center for Infection Research (HZI), Braunschweig, Germany
| | - Tobias Pischon
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
- Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany
- Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - André Karch
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Henning Teismann
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Karin B. Michels
- Institute for Prevention and Tumor Epidemiology, Medical Center—University of Freiburg, Medical Faculty, Albert Ludwigs University of Freiburg, Freiburg, Germany
| | - K. Halina Greiser
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heiko Becher
- Heidelberg Institute of Global Health (HIGH), Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan Karrasch
- Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, LMU University Hospital, LMU Munich; Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Wolfgang Ahrens
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Claudia Meinke-Franze
- Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Sabine Schipf
- Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Rafael Mikolajczyk
- IInstitute of Medical Epidemiology, Biometry and Informatics, Profile Center Health Sciences, Medical School, Martin Luther University Halle-Wittenberg, Halle, Germany
- German Center for Mental Health (DZPG), Jena-Magdeburg-Halle Site, Halle, Germany
- Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Halle, Germany
| | - Amand Führer
- IInstitute of Medical Epidemiology, Biometry and Informatics, Profile Center Health Sciences, Medical School, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Berit Brandes
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - Börge Schmidt
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Medicine Essen, Essen, Germany
| | - Carina Emmel
- Institute of Medical Informatics, Biometry and Epidemiology (IMIBE), University Medicine Essen, Essen, Germany
| | - Michael Leitzmann
- Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Julian Konzok
- Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Anette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology, Medical Faculty, LMU—Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Mental Health (DZPG), Munich site, Munich, Germany
| | - Nadia Obi
- Central Institute for Occupational Medicine and Maritime Medicine (ZfAM,) University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hermann Brenner
- Division of Preventive Oncology, German Cancer Research Center (DKFZ), Saarbrücken, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Saarbrücken, Germany
| | | | - Ilais Moreno Velásquez
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, University Hospital Würzburg, Würzburg, Germany
| | - Bernhard T. Baune
- Department of Psychiatry, University Hospital Münster, Münster, Germany
| | - Marcella Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Hans J. Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- German Center for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
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Kaburi BB, Wyss K, Kenu E, Asiedu-Bekoe F, Hauri AM, Laryea DO, Klett-Tammen CJ, Leone F, Walter C, Krause G. Facilitators and Barriers in the Implementation of a Digital Surveillance and Outbreak Response System in Ghana Before and During the COVID-19 Pandemic: Qualitative Analysis of Stakeholder Interviews. JMIR Form Res 2023; 7:e45715. [PMID: 37862105 PMCID: PMC10625076 DOI: 10.2196/45715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 08/15/2023] [Accepted: 08/16/2023] [Indexed: 10/21/2023] Open
Abstract
BACKGROUND In the past 2 decades, many countries have recognized the use of electronic systems for disease surveillance and outbreak response as an important strategy for disease control and prevention. In low- and middle-income countries, the adoption of these electronic systems remains a priority and has attracted the support of global health players. However, the successful implementation and institutionalization of electronic systems in low- and middle-income countries have been challenged by the local capacity to absorb technologies, decisiveness and strength of leadership, implementation costs, workforce attitudes toward innovation, and organizational factors. In November 2019, Ghana piloted the Surveillance Outbreak Response Management and Analysis System (SORMAS) for routine surveillance and subsequently used it for the national COVID-19 response. OBJECTIVE This study aims to identify the facilitators of and barriers to the sustainable implementation and operation of SORMAS in Ghana. METHODS Between November 2021 and March 2022, we conducted a qualitative study among 22 resource persons representing different stakeholders involved in the implementation of SORMAS in Ghana. We interviewed study participants via telephone using in-depth interview guides developed consistent with the model of diffusion of innovations in health service organizations. We transcribed the interviews verbatim and performed independent validation of transcripts and pseudonymization. We performed deductive coding using 7 a priori categories: innovation, adopting health system, adoption and assimilation, diffusion and dissemination, outer context, institutionalization, and linkages among the aspects of implementation. We used MAXQDA Analytics Pro for transcription, coding, and analysis. RESULTS The facilitators of SORMAS implementation included its coherent design consistent with the Integrated Disease Surveillance and Response system, adaptability to evolving local needs, relative advantages for task performance (eg, real-time reporting, generation of case-base data, improved data quality, mobile offline capability, and integration of laboratory procedures), intrinsic motivation of users, and a smartphone-savvy workforce. Other facilitators were its alignment with health system goals, dedicated national leadership, political endorsement, availability of in-country IT capacities, and financial and technical support from inventors and international development partners. The main barriers were unstable technical interoperability between SORMAS and existing health information systems, reliance on a private IT company for data hosting, unreliable internet connectivity, unstable national power supply, inadequate numbers and poor quality of data collection devices, and substantial dependence on external funding. CONCLUSIONS The facilitators of and barriers to SORMAS implementation are multiple and interdependent. Important success conditions for implementation include enhanced scope and efficiency of task performance, strong technical and political stewardship, and a self-motivated workforce. Inadequate funding, limited IT infrastructure, and lack of software development expertise are mutually reinforcing barriers to implementation and progress to country ownership. Some barriers are external, relate to the overall national infrastructural development, and are not amenable even to unlimited project funding.
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Affiliation(s)
- Basil Benduri Kaburi
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- PhD Programme Epidemiology, Braunschweig-Hannover, Braunschweig, Germany
- Hannover Medical School, Hannover, Germany
| | - Kaspar Wyss
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Ernest Kenu
- Ghana Field Epidemiology and Laboratory Training Programme, University of Ghana, Accra, Ghana
| | | | - Anja M Hauri
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | | | | | - Frédéric Leone
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - Christin Walter
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- PhD Programme Epidemiology, Braunschweig-Hannover, Braunschweig, Germany
- Hannover Medical School, Hannover, Germany
| | - Gérard Krause
- Department of Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
- Hannover Medical School, Hannover, Germany
- German Center for Infection Research, Braunschweig, Germany
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Klett-Tammen CJ, Heise JK, Soja SM, Janzen I, Jenniches F, Kemmling Y, Behrens G, Schulz TF, Wegener R, Castell S. Self-reported vaccination against SARS-CoV-2 and adverse events in multiple cohorts. Eur J Public Health 2022. [DOI: 10.1093/eurpub/ckac131.405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
In two studies (“App-based infection assessment in RESIST (iAR)” and “Digital infection monitoring in persons living with immunodeficiency (DIMI)” ), we monitor health related items, as vaccination against SARS-CoV-2 and conduct syndromic surveillance of acute respiratory infections in high-risk populations, i.e. elderly persons and persons living with HIV, respectively. In a third very similar study (“Sensors for measuring aerosols and reactive gases to deduce health effects (SMARAGD)”) mainly healthy adults participate. To record incident or recurring transient health events, risk factors and further health data in real-time, we developed the eResearch system “PIA - Prospective Monitoring and Management App”. Recruitment for RESIST, SMARAGD and DIMI started in March 2021 and is ongoing. The questionnaire was presented in April 2022. Preliminary results include 86 participants from the three cohorts. In total, one indicated to be not vaccinated, none were vaccinated once, three (3.5%) twice, 63 (73.3%) three times and 19 (22.1%) four times. Participants reported the following adverse events after immunization (AEFI): after 40 applied doses with Vaxzevria® 24 AEFI (60%); after 158 doses of Comirnaty® 41 AEFI (26%); after 62 doses of Spikevax® 19 AEFI (30.7%); and after three doses of Janssen®, one AEFI (33.3%). In these cohorts, 20 (23.36%) participants stated having had a SARS-CoV-2 infection, of these 16 (80%) after the last vaccination dose, three (15%) before the first dose and one (5%) in between doses. Most participants were vaccinated three times, with Comirnaty being the most applied vaccine, as in officially reported numbers. AEFI varied according to vaccine and were higher than in the German surveillance system (1.64/1000 doses). Most infections were indicated to have been diagnosed after the booster vaccination. The results are limited by the small sample size and possible bias through self-reporting and social desirability regarding vaccination status.
Key messages
• Overall, most participants were vaccinated with Comirnaty and had three doses of vaccine. Of the participants with a diagnosed SARS-CoV-2-infection, most got infected after the booster vaccine.
• The number of reported AEFI was higher than in the official surveillance in Germany.
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Affiliation(s)
- CJ Klett-Tammen
- Helmholtz Centre for Infection Research Epidemiology, , Brunswick, Germany
| | - JK Heise
- Helmholtz Centre for Infection Research Epidemiology, , Brunswick, Germany
| | - SM Soja
- Helmholtz Centre for Infection Research Epidemiology, , Brunswick, Germany
| | - I Janzen
- Helmholtz Centre for Infection Research Epidemiology, , Brunswick, Germany
| | - F Jenniches
- Study Centre, Helmholtz Centre for Infection Research , Hanover, Germany
| | - Y Kemmling
- Study Centre, Helmholtz Centre for Infection Research , Hanover, Germany
| | - G Behrens
- Department for Rheumatology and Immunology, Hanover Medical School , Hanover, Germany
| | - TF Schulz
- Institute of Virology, Hanover Medical School , Hanover, Germany
| | - R Wegener
- Institute for Energy and Climate Research , IE, , Jülich, Germany
- Forschungszentrum Jülich , IE, , Jülich, Germany
| | - S Castell
- Helmholtz Centre for Infection Research Epidemiology, , Brunswick, Germany
- TI Bioressources, Biodata und Digital Health, German Centre for Infection Research , Hanover, Germany
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Kwabla MP, Amuasi JH, Krause G, Klett-Tammen CJ, Castell S. Referral of presumptive TB among operators of community medicine outlets. Int J Tuberc Lung Dis 2021; 25:982-989. [PMID: 34886927 DOI: 10.5588/ijtld.21.0190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND: Case detection is an important part of TB control programmes. In 2007, the TB programme in Ghana join the WHO´s public-private partnership with community medicine outlet operators to increase referral of persons with presumptive TB for laboratory investigation. Information on factors likely to influence referral is scarce in Ghana. We assessed these factors among pharmacists and over-the-counter (OTC) medicine sellers.METHODS: In 2019-2020, we conducted computer-assisted telephone interviews among community pharmacists and OTC medicine sellers in the Eastern Region of Ghana. We used a structured questionnaire and collected data on respondents´ sociodemographics and professional characteristics. We used logistic regression to investigate characteristics associated with self-reported referral of presumptive TB cases.RESULTS: Of all respondents who completed the interviews, 68.7% (321/467) reported having ever referred a presumptive TB case and 72.1% (336/466) had received specific training. Associated factors of presumptive TB referral were having received specific training (OR 2.7, 95% CI 1.5-4.9); performing both dispensing and managerial functions (OR 2.8, 95% CI 1.4-5.5); operating from OTC shop (OR 6.2, 95% CI 1.6-23.4) and the availability of a TB laboratory within walking distance (OR 3.3, 95% CI 1.2-9.5).CONCLUSION: Interviewees largely support TB referral. However, a significant proportion does not follow the strategy closely. We recommend more specific TB training courses.
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Affiliation(s)
- M P Kwabla
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany, PhD Programme Epidemiology, Helmholtz Centre for Infection Research (HZI), Braunschweig and Hanover Biomedical Research School, Medical School Hanover, Germany, Department of Epidemiology and Biostatistics, School of Public Health, University of Health and Allied Sciences, Ho, Ghana
| | - J H Amuasi
- Department of Global Health, School of Public Health, Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana, Kumasi Centre for Collaborative Research in Tropical Medicine, KNUST, Kumasi, Ghana, Global Health and Infectious Diseases Research Group, Bernhard Nocht Institute of Tropical Medicine, Hamburg, Germany
| | - G Krause
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany, Medical School Hanover (MHH), Hanover, Germany, TI Epidemiology, German Centre for Infection Research (DZIF), Hanover, Germany
| | - C J Klett-Tammen
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany
| | - S Castell
- Department for Epidemiology, Helmholtz Centre for Infection Research, Braunschweig, Germany, TI Epidemiology, German Centre for Infection Research (DZIF), Hanover, Germany
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Nguyen MTH, Ott JJ, Caputo M, Keller-Stanislawski B, Klett-Tammen CJ, Linnig S, Mentzer D, Krause G. User preferences for a mobile application to report adverse events following vaccination. Pharmazie 2020; 75:27-31. [PMID: 32033630 DOI: 10.1691/ph.2020.9734] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 09/29/2022]
Abstract
The passive surveillance system is an important tool in pharmacovigilance of vaccines. However, reporting of adverse events following immunization (AEFI) post-marketing has limitations regarding under-reporting, biased reports and lack of exposure data resulting in imprecise estimates. New mobile application technology may provide an opportunity for an enhanced surveillance. A pre-requisite for the use of new app-based technology is to identify practical challenges and end users' preferences for design of app-features. The objectives were (i) to investigate the recruitment and feasibility of an app-based study in Germany, (ii) to assess individuals' motivation to participate in such a study and (iii) to identify app-features for reporting AEFI. We conducted a cross-sectional study among employees of a financial institution who attended the occupational health office during the seasonal influenza vaccination in November 2017. Participants tested feasibility and assessed an app prototype for AEFI reporting by using a case vignette and a questionnaire. Of the 153 attending employees, 65 (42%) agreed to participate and returned the questionnaire. Twenty-three (63%) rated the experience of reporting AEFI with the app prototype to be positive. Among three features offered for gamification, collecting points was most frequently chosen (n=22, 34%). The main reason for declining participation was the apprehension about data protection (n=28, 43%). Results suggest that the app-based technology was well accepted and is a suitable supplement for AEFI reporting and in our study. A convincing data protection concept is likely to enhance acceptability of such a system.
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Horn J, Hoodgarzadeh M, Klett-Tammen CJ, Mikolajczyk RT, Krause G, Ott JJ. Epidemiologic estimates of hepatitis E virus infection in European countries. J Infect 2018; 77:544-552. [DOI: 10.1016/j.jinf.2018.09.012] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Accepted: 09/20/2018] [Indexed: 12/16/2022]
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Obenauer J, Rübsamen N, Castell S, Hoodgarzadeh M, Klett-Tammen CJ, Mikolajczyk RT, Karch A. Perceptions of Zika virus risk in Germany in 2016. Eur J Public Health 2017; 28:139-144. [DOI: 10.1093/eurpub/ckx092] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
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Klett-Tammen CJ, Krause G, Seefeld L, Ott JJ. Determinants of tetanus, pneumococcal and influenza vaccination in the elderly: a representative cross-sectional study on knowledge, attitude and practice (KAP). BMC Public Health 2016; 16:121. [PMID: 26846202 PMCID: PMC4743086 DOI: 10.1186/s12889-016-2784-8] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 01/26/2016] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Severity and incidence of vaccine-preventable infections with influenza viruses, s. pneumoniae and c. tetani increase with age. Furthermore, vaccine coverage in the elderly is often insufficient. The aim of this study is to identify socio-economic and knowledge-, attitude- and practice- (KAP)-related determinants of vaccination against influenza, pneumococcal disease and tetanus in the older German population. METHODS We analysed data from a German nationally representative questionnaire-based KAP-survey on infection prevention and hygiene behavior in the elderly (n = 1223). We used logistic regressions to assess impacts of socio-demographic- and KAP-related variables on vaccine uptake in general and on tetanus-, influenza- and pneumococcal vaccination. To generate KAP-scores, we applied factor analyses and analysed scores as predictors of specific vaccinations. RESULTS A low rated personal health status was associated with a higher uptake of influenza vaccine whereas place of residence within Germany strongly impacted on pneumococcal vaccination. For tetanus and influenza vaccination, the strongest single vaccination predictor was attitude-related, i.e., the perceived importance of the vaccine (OR = 18.1, 95 % CI = 4.5-71.8; OR = 23.0, 95 % CI = 14.9-35.3, respectively). Pneumococcal vaccination was mostly knowledge-associated, i.e., knowing the recommendation predicted uptake (OR = 17.1, 95 % CI = 9.5-30.7). Regarding the generated KAP-scores, the practice-score reflecting vaccine related behavior such as having a vaccination record, was predictive for all vaccines considered. The knowledge-score was associated with influenza (OR = 1.3, 95 % CI = 1.0-1.6) and pneumococcal vaccination (OR = 1.2, 95 % CI = 1.0-1.5). Uniquely for influenza vaccination, the attitude-score was linked to vaccine uptake (OR = 1.1, 95 % CI = 1.0-1.1). CONCLUSIONS Our results indicate that predictors of vaccination uptake in the elderly strongly depend on vaccine type and that scores of KAP are useful and valid to condense information from numerous individual KAP-variables. While awareness for vaccinations against influenza and tetanus is fairly high already it might have to be increased for vaccinations against pneumocoocal infections.
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Affiliation(s)
- Carolina J Klett-Tammen
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany. .,Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
| | - Gérard Krause
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany. .,Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
| | - Linda Seefeld
- Unit of Basic medical issues; preventive and medical activities in health education, Federal Centre for Health Education (BZgA), Maarweg 149-161, 50825, Köln, Germany.
| | - Jördis J Ott
- Department of Epidemiology, Helmholtz Centre for Infection Research, Inhoffenstrasse 7, 38124, Braunschweig, Germany. .,Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
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Raupach-Rosin H, Klett-Tammen CJ, Schmalz O, Karch A, Castell S, Mikolajczyk R. ["I cannot kiss my wife"- An Analysis of Daily Experiences of MRSA-carriers]. Gesundheitswesen 2015; 78:822-827. [PMID: 26551853 DOI: 10.1055/s-0035-1559710] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Objectives: There are no data available on the quality of care after discharge from hospital and only limited data are available on the psychosocial effects of being an MRSA carrier within the German health system. Methods: Patients who tested positive for MRSA in the previous year were invited to take part in focus groups. Results: 2 focus groups with a total of 9 MRSA-carriers were conducted. The level of knowledge about MRSA differed between participants. In some cases, lack of information led to uncertainty and inappropriate measures to counteract MRSA. Some participants restricted their social contacts, especially to children, in order to prevent transmission. Patients experienced stigmatization in the health care system more often in inpatient care than in the outpatient sector. Only in a few cases both eradication therapy and swabs for control purposes were carried out. Conclusions: Information about the appropriate treatment and management of MRSA should be made available to patients more easily; in particular, patients need to be informed that MRSA is no threat to healthy individuals. Despite the desire of MRSA-carriers to become MRSA negative, treatment and control of MRSA seem to have low priority in the ambulant health care sector in Germany.
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Affiliation(s)
- H Raupach-Rosin
- Abteilung Epidemiologie, Helmholtz-Zentrum für Infektionsforschung, Braunschweig
| | - C J Klett-Tammen
- Abteilung Epidemiologie, Helmholtz-Zentrum für Infektionsforschung, Braunschweig
| | - O Schmalz
- Abteilung Onkologie und Palliativmedizin, Helios Klinikum Wuppertal, Wuppertal
| | - A Karch
- Abteilung Epidemiologie, Helmholtz-Zentrum für Infektionsforschung, Braunschweig
| | - S Castell
- Abteilung Epidemiologie, Helmholtz-Zentrum für Infektionsforschung, Braunschweig
| | - R Mikolajczyk
- Abteilung Epidemiologie, Helmholtz-Zentrum für Infektionsforschung, Braunschweig
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