von Patrick Höller ; Renke Lühken ; Felix G. Sauer ; Carmen Villacañas de Castro ; Norbert Becker ; Hanna Jöst ; Wolf Peter Pfitzner ; Jonas Schmidt-Chanasit ; Anna Heitmann ; Stephanie Jansen
von Kristopher Nolte ; Eric Agboli ; Gabriela Azambuja Garcia ; Athanase Badolo ; Norbert Becker ; Do Huy Loc ; Tarja Viviane Dworrak ; Jacqueline Eguchi ; Albert Eisenbarth ; Rafael Maciel de Freitas ; Ange Gatien Doumna-Ndalembouly ; Anna Heitmann ; Stephanie Jansen ; Artur Jöst ; Hanna Jöst ; Ellen Kiel ; Alexandra Meyer ; Wolf-Peter Pfitzner ; Joy Saathoff ; Jonas Schmidt-Chanasit ; Tatiana Sulesco ; Artin Tokatlian ; Thirumalaisamy P. Velavan ; Carmen Villacañas de Castro ; Magdalena Laura Wehmeyer ; Julien Zahouli ; Felix Gregor Sauer ; Renke Lühken
Accurate identification of mosquito species is essential for effective vector control and mitigation of mosquito-borne disease outbreaks. Traditional morphological identification requires highly specialized personnel and is time-consuming, while molecular techniques can be cost-effective and dependent on comprehensive genetic information. Wing geometric morphometry has emerged as a promising alternative, leveraging detailed geometric measurements of wing shapes and vein patterns to distinguish between species and detect intraspecies variations. This paper presents a curated dataset of 18,104 mosquito wing images, collected from 10,500 mosquito specimens, annotated with extensive meta-information, designed to support research in wing geometric morphometry and the development of machine learning models, ultimately supporting efforts in vector surveillance and research.
Scientific data London : Nature Publ. Group, 2014 12(2025), 1, Artikel-ID 715, Seite 1-6 Online-Ressource
Nursing home residents have high medical care needs. Their medical care utilization is, however, lower compared to community-dwelling elderly and varies widely among nursing homes. This study quantified the utilization of general practitioners (GPs), dentists, and medical specialists among nursing homes and residents, and investigated whether dentist utilization is associated with individual and nursing home characteristics. Methods: Forty-four nursing homes invited 2124 residents to participate in a cross-sectional study. For 10 medical specialties, data on contacts in nursing homes, practices, and by telephone in the last 12 months were assessed at individual and nursing home level. The proportion of nursing homes and residents with any form of contact, and the median number and interquartile range (IQR) of contacts among individuals with contact were determined. Using multilevel logistic regression, associations between the probability of individual dental care utilization and sex, age, LTC grade, years of residence, sponsorship, number of nursing home beds, and transport and medical escort services for consultations at a practice were investigated. Results: The proportion of nursing homes with any form of contact with physicians ranged from 100% for GPs, dentists, and urologists to 76.7% for gynecologists and orthopedists. Among the nursing homes, 442 residents participated (20.8% response). The proportion of residents with any contact varied from 97.8% for GPs, 38.5% for neurologists/psychiatrists, and 32.3% for dentists to 3.0% for gynecologists. Only for GPs, neurologists/psychiatrists, dentists, otorhinolaryngologists, urologists, and dermatologists, the proportion was higher for nursing home contacts than for practice and telephone contacts. Among residents with any contact, the median number of contacts was highest for GPs (11.0 [IQR 7.0-16.0]), urologists (4.0 [IQR 2.0-7.0]), and neurologists/psychiatrists (3.0 [IQR 2.0-5.0]). Dentist utilization varied widely among nursing homes (median odds ratio 2.5) and was associated with higher age. Conclusions: Almost all residents had regular contact to GPs, but only one third had contact with dentists. Lower proportions with contact were found for medical specialists, except for neurologists/psychiatrists. Reasons for the large variations in dental care utilization among nursing homes should be identified.
BMC health services research London : BioMed Central, 2001 22(2022), 1, Artikel-ID 35, Seite 1-11 Online-Ressource
von Jutta Keller ; Thilo Wedel ; Holger Seidl ; Martin Ernst Kreis ; Ivo Raymond van der Voort ; Maximilian Gebhard ; Jost Langhorst ; Petra Lynen ; Oliver Schwandner ; Martin Storr ; Pia van Leeuwen ; Viola Andresen ; Jan Preiß ; Peter Layer ; Hans-Dieter Allescher ; Tilo Andus ; Stephan C. Bischoff ; Stephan Buderus ; M. Claßen ; U. Ehlert ; S. Elsenbruch ; M. Engel ; Axel Enninger ; Wolfgang Fischbach ; Michael H. Freitag ; Thomas Frieling ; Anton Gillessen ; M. Goebel-Stengel ; Juliane Dorothee Gschoßmann ; Felix Gundling ; S. Haag ; W. Häuser ; Ulf Helwig ; Stephan Hollerbach ; G. Holtmann ; M. Karaus ; M. Katschinski ; H. Krammer ; Wolfgang Kruis ; R. Kuhlbusch-Zicklam ; Ahmed Madisch ; H. Matthes ; Stephan Miehlke ; Hubert Mönnikes ; Stefan Müller-Lissner ; B. Niesler ; C. Pehl ; D. Pohl ; Carsten Posovszky ; M. Raithel ; Gabriele Röhrig-Herzog ; R. Schäfert ; M. Schemann ; Anjona Schmidt-Choudhury ; S. Schmiedel ; Anna Schweinlin ; Ilja Juliane Dorothee Schwille-Kiuntke ; A. Stengel ; Jonas Tesarz ; W. Voderholzer ; G. von Boyen ; J. von Schönfeld
