Arthropod-borne disease outbreaks, facilitated by the introduction of exotic mosquitoes, pose a significant public health threat. Recent chikungunya virus (CHIKV) epidemics in Europe highlight the importance of understanding the vector potential of invading mosquitoes. In this paper we explore the potential of Aedes koreicus, a mosquito new to Europe, to transmit CHIKV. Mosquitoes were challenged with CHIKV and maintained at two temperatures: 23 °C and a fluctuating temperature. Total CHIKV infection rates at 3, 10 and 14 days post-feeding were low for both temperature treatments (13.8% at 23 °C; 6.2% at fluctuating T). A low percentage (6.1%, n = 65) of mosquitoes maintained at a constant 23 °C showed dissemination of the virus to the wings and legs. Infection of mosquito saliva, with live virus, occurred in 2 mosquitoes. No dissemination was noted under the fluctuating temperature regime. Based on these results we conclude that CHIKV transmission by this species is possible.
The objective of this work was to provide pilot data on feasibility of using virtual reality (VR) to train undergraduate students in pediatric emergency scenarios. We staged VR sessions for a total of 45 medical and nursing students; in every session, each student managed two pediatric emergency virtual scenarios. At the end of the sessions, students completed a Technology Assessment Questionnaire to evaluate the perceived usefulness and perceived ease-of-use of their VR training experience and rated their perceived level of competence in managing the two clinical scenarios. The median perceived usefulness was 91.7/100 (interquartile range (IQR) 80.6–100), while the median perceived ease-of-use was 77.8/100 (IQR 63.9–88.9). The perceived level of competence increased from 2 (IQR 1–3) to 4 (IQR 3–4) on a 5-point Likert scale, for both scenarios (p < 0.001, Wilcoxon test for paired samples). Conclusions: The staged VR sessions had a good perceived usefulness and resulted in an increase in the perceived level of competence. The results on the ease-of-use, however, show that an assumption that millennials and younger students can navigate with confidence VR hardware in a healthcare training setting should not be made; further work is required to ease the integration of VR into curricula. What is Known:• Virtual reality (VR) is a rising simulation training methodology in Pediatric Emergency Medicine (PEM), however little experience is reported about its use for undergraduate studentsWhat is New:• VR PEM trainiing was found useful by undergraduate students and its use increased their perceived level of competence, although ease-of-use received lower ratings.• Despite the young age, an assumption that millennials and younger students can navigate with confidence VR hardware in a healthcare training setting should not be made
18 February 2016 in International Journal of Geographical Information Science
Geographic data themes modelled as planar partitions are found in many GIS applications (e.g. topographic data, land cover, zoning plans, etc.). When generalizing this kind of 2D map, this specific nature has to be respected and generalization operations should be carefully designed. This paper presents a design and implementation of an algorithm to perform a split operation of faces (polygonal areas). The result of the split operation has to fit in with the topological data structure supporting variable-scale data. The algorithm, termed SPLITAREA, obtains the skeleton of a face using a constrained Delaunay triangulation. The new split operator is especially relevant in urban areas with many infrastructural objects such as roads. The contribution of this work is twofold: (1) the quality of the split operation is formally assessed by comparing the results on actual test data sets with a goal/metric we defined beforehand for the ‘balanced’ split and (2) the algorithm allows a weighted split, where different neighbours have different weights due to different compatibility. With the weighted split, the special case of unmovable boundaries is also explicitly addressed. The developed split algorithm can also be used outside the generalization context in other settings. For example, to make two cross-border data sets fit, the algorithm could be applied to allow splitting of slivers.
Background and Aim. Lung ultrasound (LUS) is a convenient imaging modality in the setting of coronavirus disease-19 (COVID-19) because it is easily available, can be performed bedside and repeated over time. We herein examined LUS patterns in relation to disease severity and disease stage among patients with COVID-19 pneumonia. Methods. We performed a retrospective case series analysis of patients with confirmed SARS-CoV-2 infection who were admitted to the hospital because of pneumonia. We recorded history, clinical parameters and medications. LUS was performed and scored in a standardized fashion by experienced operators, with evaluation of up to 12 lung fields, reporting especially on B-lines and consolidations. Results. We included 96 patients, 58.3% men, with a mean age of 65.9 years. Patients with a high-risk quick COVID-19 severity index (qCSI) were older and had worse outcomes, especially for the need for high-flow oxygen. B-lines and consolidations were located mainly in the lower posterior lung fields. LUS patterns for B-lines and consolidations were significantly worse in all lung fields among patients with high versus low qCSI. B-lines and consolidations were worse in the intermediate disease stage, from day 7 to 13 after onset of symptoms. While consolidations correlated more with inflammatory biomarkers, B-lines correlated more with end-organ damage, including extrapulmonary involvement. Conclusions. LUS patterns provide a comprehensive evaluation of patients with COVID-19 pneumonia that correlated with severity and dynamically reflect disease stage. LUS patterns may reflect different pathophysiological processes related to inflammation or tissue damage; consolidations may represent a more specific sign of localized disease, whereas B-lines seem to be also dependent upon generalized illness due to SARS-CoV-2 infection.
ONOn Behalf Of The Task Force On Neonatal Resuscitation Of The Italian Society Of Neonatology
On Behalf Of The Task Force On Neonatal Resuscitation Of The Italian Society Of Neonatology
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Background: Training programs on resuscitation have been developed using simulation-based learning to build skills, strengthen cognitive strategies, and improve team performance. This is especially important for residency programs where reduced working hours and high numbers of residents can reduce the educational opportunities during the residency, with lower exposure to practical procedures and prolonged length of training. Within this context, gamification has gained popularity in teaching and learning activities. This report describes the implementation of a competition format in the context of newborn resuscitation and participants’ perceptions of the educational experience. Methods: Thirty-one teams of three Italian pediatric residents participated in a 3-day simulation competition on neonatal resuscitation. The event included an introductory lecture, familiarization time, and competition time in a tournament-like structure using high-fidelity simulation stations. Each match was evaluated by experts in neonatal resuscitation and followed by a debriefing. The scenarios and debriefings of simulation station #1 were live broadcasted in the central auditorium where teams not currently competing could observe. At the end of the event, participants received an online survey regarding their perceptions of the educational experience. Results: 81/93 (87%) participants completed the survey. Training before the event mostly included reviewing protocols and textbooks. Low-fidelity manikins were the most available simulation tools at the residency programs. Overall, the participants were satisfied with the event and appreciated the live broadcast of scenarios and debriefings in the auditorium. Most participants felt that the event improved their knowledge and self-confidence and stimulated them to be more involved in high-fidelity simulations. Suggested areas of improvement included more time for familiarization and improved communication between judges and participants during the debriefing. Conclusions: Participants appreciated the simulation competition. They self-perceived the educational impact of the event and felt that it improved their knowledge and self-confidence. Our findings suggest areas of improvements for further editions and may serve as an educational model for other institutions.