ObjectivesTo evaluate the impact of the first COVID-19 lockdown in 2020 on the burnout and study satisfaction of medical students.DesignA cross-sectional study with a presurvey and postsurvey.SettingUniversity of Split School of Medicine (USSM), Split, Croatia. The lockdown in the COVID-19 pandemic lasted from late March to mid-May 2020. There was a full switch to e-learning at the USSM during this period, and all clinical teaching was stopped.ParticipantsStudents enrolled in the 2019/2020 academic year. Data were collected before lockdown in December 2019 and January 2020 and again after the end of lockdown in June 2020.Primary and secondary outcome measuresStudy satisfaction was assessed using the study satisfaction survey. Burnout was assessed using two instruments: Oldenburg Burnout Inventory and Copenhagen Burnout Inventory. We used Bayesian statistics to compare before-and-after differences.Results437 independent responses (77.2% response rate) were collected before and 235 after lockdown (41.5% response rate). 160 participant responses were eligible for pairing. There was no significant difference for both paired and unpaired participants in study satisfaction before (3.38 on a 1–5 scale; 95% credible interval (95% CrI) 3.32 to 3.44) and after (3.49, 95% CrI 3.41 to 3.57) lockdown. We found no evidence (Bayes factor (BF10) >3.00 as a cut-off value) for an increase in the level of burnout before and after lockdown, both in independent and paired samples.ConclusionsIt seems that the first pandemic-related lockdown and a switch to e-learning did not affect burnout levels among medical students or their perception of their study programme. More insight is needed on the short-term and long-term effects of the COVID-19 pandemic on medical students and their education. Well-structured longitudinal studies on medical student burnout during the COVID-19 pandemic are needed.

BackgroundMany HIV databases and applications focus on a limited domain of HIV knowledge. Since even a “simple” organism like HIV represents a very complex system with many interacting elements, the fractured structure of existing databases and applications likely limits our ability to investigate and understand HIV. To facilitate research, therefore, we have built HIVToolbox, which integrates much of the knowledge about HIV proteins and presents the data in an interactive web application. HIVToolbox allows quick and convenient hypotheses generation, experiment interpretation, and potential new drug structure creation.MethodsHIVToolbox was built as a standard three-tier J2EE web application, consisting of 1) an underlying relational MySQL database, 2) a set of standard Java data access objects that pull data from the database, and 3) a set of dynamic web pages the user interacts with. HIV-1 data from external sources such as the Protein Data Bank, NCBI, Los Alamos, etc. was collected, curated, and stored in the HIVToolbox database. Additional data, such as homology and position statistics matrices, was generated from existing data. Since version 1, drug binding site and drug resistant mutation data has also been added.ResultsHIVToolbox was used to create several new hypotheses about HIV-1 integrase, including predicting the location of a CK2 phosphorylation site, which was later confirmed by experiment. A new version of HIVToolbox support display of the 3D locations of drug resistant mutations on surface plots of HIV proteins and the drug binding sites for structures of complexes of HIV proteins with drugs.ConclusionHIVToolbox is an open-access web application that allows virologists and structural biologists to access detailed information about HIV-1 proteins, such as sequence, structure, functional sites and relationships, homology, drug binding sites, and drug resistant mutations, and to immediately see the relationships between any or all of them. Weblink: [http://hivtoolbox.bio-toolkit.com]

Introduction: Quality of teaching and the faculty’s teaching practices can be indirectly assessed through students’ satisfaction and burnout with their studies, factors which also influence students’ academic success and the schools prestige. Aim: To assess students’ satisfaction and burnout at the New Medical Studies in English Program (started in 2011) at the University of Split, Croatia. Methods: In October 2013, we conducted a previously designed satisfaction survey, as well as the Oldenburg Burnout Inventory (OLBI) on all students of the New Medical Studies in English in Split. Results: In total 88 (78%) of students returned the completed questionnaires. Students GPA (out of max 5.0) was 3.4 for the 2nd year and 3.0 for the 3rd year students. Most students (87%) rated campus safety as above average or excellent, 83% rated as such the staff friendliness, 73% the teaching quality, and 67% the overall satisfaction with the School, with no differences between the study years. Students scores on OLBI subscales were 3.0±0.4 for disengagement, and 2.7±0.7 for exhaustion, with first year students showing less exhaustion than higher year students (ANOVA, P=0.010). Discussion: Students grades, as well as self reported study satisfaction and burnout demonstrate the balance of high quality teaching and student engagement at the pre‐clinical courses of the New Medical Studies in English at the University of Split, Croatia. This study was supported by University of Split School of Medicine.

The purpose of this paper is to present SARS-CoV-2 diagnostic methods and their optimal implementation. The main routine microbiological diagnostic tools are molecular and serological methods. Sensitivity and utilisation of molecular methods is the best at the disease onset, while serological methods are the best if used at least 5-7 days after disease onset. Positive molecular test result (real-time polymerase chain reaction; RT-PCR) must be interpreted in the clinical presentation context. A sampling site for molecular analysis is based on disease severity; upper and lower respiratory tract samples are used for mild and severe presentations, respectively. Virus cultivation is the only method of proving the existence of a viable virus in a tissue sample, but due to the method complexity, it is not a part of a routine process. Ground glass opacities with or without reticular pattern and/or consolidation are typical findings for COVID-19 pneumonia. Multi-slice computerized tomography (MSCT) is a superior radiological method for performing X-ray of the chests.