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Available studies and reports, as well as real-time experiences, attest to profound, extensive, long-lasting effects on the supply chain caused by the pandemic. It is thus paramount to rethink the supply chain for medication and health care supplies to build a more resilient and adaptable management process. Data obtained from the NHS portal monthly reports from January 2017 to August 2020 – indicates that at the hospital level the impact was felt the most on the scheduling of medical appointments and prescriptions. Two forecasting methods were selected for this study: Simple Linear Regression and Holt-Winters with the trend and additive seasonality. There was a change in the behavior of hospital patients in the first year of COVID-19 pandemics. This change was shown in two main indicators, the number of hospital consultations and medication expenses. This changed behavior resulted in a decrease in demand for scheduled hospital services, 1.9M less than would be expected under normal conditions, and a foreseeable increase of €432M in the consumption of medicines in the last quarter of 2020, €103M more than in the same period. from the previous year.

These files include the survey questions for data collection as well as the 6 messaging appeals used in this research project.

Biochemical analysis of similarities between human and SARS-CoV-2 proteins

The purpose of the study: to explore the views of the Lithuanian population on the social consequences of the COVID-19 pandemic and quarantine with a particular focus on everyday life practices.

The purpose of the study: to explore the views of the Lithuanian population on the social consequences of the COVID-19 pandemic and quarantine with a particular focus on everyday life practices, changes in the quality of democracy.

The purpose of the study: to explore the views of the Lithuanian population on the social consequences of the COVID-19 pandemic and quarantine with a particular focus on everyday life practices, changes in employment, working practices and the quality of democracy.

Purpose of reviewCoronavirus disease 2019 (COVID-19) pandemic changed the way we had to approach hospital- and intensive care unit (ICU)-related resource management, especially for demanding techniques required for advanced support, including extracorporeal membrane oxygenation (ECMO).Recent findingsAvailability of ICU beds and ECMO machines widely varies around the world. In critical conditions, such a global pandemic, the establishment of contingency capacity tiers might help in defining to which conditions and subjects ECMO can be offered. A frequent reassessment of the resource saturation, possibly integrated within a regional healthcare coordination system, may be of help to triage the patients who most likely will benefit from advanced techniques, especially when capacities are limited.SummaryIndications to ECMO during the pandemic should be fluid and may be adjusted over time. Candidacy of patients should follow the same prepandemic rules, taking into account the acute disease, the burden of any eventual comorbidity and the chances of a good quality of life after recovery; but the current capacity of healthcare system should also be considered, and frequently reassessed, possibly within a wide hub-and-spoke healthcare system.

Prispevek predstavlja izhodišča za razpravo o jezikovnih smernicah in učnih ciljih v vrtcih in šolah s slovenskim učnim jezikom v Tržaški in Goriški pokrajini ter v večstopenjski šoli s slovensko-italijanskim dvojezičnim poukom v Špetru. Izhaja iz rezultatov kvantitativne raziskave o poteku pouka na daljavo med epidemijo covid-19, izvedene med pedagoškim kadrom, dijaki in starši otrok, ki obiskujejo vrtce in šole s slovenskim učnim jezikom in dvojezičnim slovensko-italijanskim poukom v Italiji. Izsledke dopolnjuje analiza petnajstih polstrukturiranih globinskih intevjujev z učitelji o didaktično-metodičnih izzivih pri poučevanju učencev, katerih prvi ali primarni jezik ni slovenski, slovenščina pa tudi ni jezik okolja, v katerem živijo.

This is the repository containing the data and results shown in "Uncover a microbiota signature of upper respiratory tract in patients with SARS-CoV-2+" (2023).

This dataset represent raw data for the unpublished article "Analytical and clinical performances of seven direct detection assays for SARS-CoV-2".