The use of Artificial Neural Networks (ANN) is a great contribution to medical studies since the application of forecasting concepts allows the analysis of future diseases propagations. In this context, this paper presents a study of the new coronavirus SARS-COV-2 with a focus on verifying the virus propagation associated with mitigation procedures and massive vaccination campaigns. There were proposed two methodologies to predict 28 days ahead the number of new cases, deaths, and ICU patients of five European countries: Portugal, France, Italy, United Kingdom, and Germany, and a case study of the results of massive immunization in Israel. The data input of cases, deaths, and daily ICU patients was normalized to reduce discrepant numbers due to the countries size, and the cumulative vaccination values by the percentage of population immunized, at least with one dose of vaccine. As a comparative criterion, the calculation of the mean absolute error (MAE) of all predictions presents the best methodology and targets other possibilities of use for the proposed method. The best architecture achieved a general MAE for the 1 to 28 days ahead forecast lower than 30 cases, 0,6 deaths and 2,5 ICU patients by million people.

Stroke is one of the leading cause of adult disability and the second leading cause of death worldwide. The immune system actively participates in the pathobiological process of AIS, during the index event and during the repair process despite the limited attention drawn to this aspect in the existing stroke guidelines globally. The similar clinical course and similar circulating innate and adaptive immune cell counts in AIS and COVID-19 has created a renewed interest in these easily available biomarkers innate and adaptive immunological changes in AIS with potential diagnostic, prognostic, and therapeutic implications. The current scoping review aimed to assess the significance of circulating neutrophil and lymphocyte counts and their ratio (NLR) in AIS and explore their association with post-stroke recovery trajectory. The Arksey and O'Malley methodological framework was employed to review the published papers on the neutrophil-lymphocyte ratio (NLR) and AIS in late November 2020. Only studies published in English from 2000-2020 were included in this scoping review. Fifty-three published papers were reviewed. This review's key finding is that a canonical inflammatory response occurs in AIS just as in the case of COVID-19 and neurological involvements well described in the recent literature. An excessive circulating innate immune cells (neutrophils) and reduced circulating adaptive immune cells (lymphocytes ) are associated with poorer outcomes during the acute interventions ( reperfusion therapies) as well as the recovery trajectory. Main representatives of innate and adaptive immunity follow a canonical course in AIS and COVID-19. Exaggerated circulating innate ( elevated neutrophils and elevated NLR) and reduced adaptive immune response (lymphopenia) correlate with the worse outcome in AIS and COVID-19. This scoping review's findings make the strongest case for a systems biology-based approach to the standard operating procedures in stroke care urgently.

Historical legacy of Eastern European and Balkans’ health systems was mutually interdependent and shaped by local socioeconomic circumstances. Three distinctive systems of risk sharing and health financing to develop since the late XIX century were the Bismarck, Beveridge, and Semashko systems. Modern day healthcare systems in these countries are challenged by population ageing, accelerated innovation in medical technology, growing purchasing power and rising demand for healthcare services. Supply side changes contribute to demand side efficiency bottlenecks in financing, driving the costs of the already expensive medical care up. All of the nations have a large share of citizens experiencing difficulty with affordability and access to medical care, particularly in rural and remote areas. Network of Health technology assessment agencies have mushroomed over the past three decades. Principles of health economics theory and cost-effective resource allocation are slowly gaining ground in governing authorities’ mindset and decision-making process. For many years to come, pharmaceuticals and medical services will remain dependent on out-of-pocket spending. Currently accelerating and spreading 4.0 Industrial Revolution, together with the Belt and Road Initiative, are likely to substantially impact the further economic development of this vast region. Post-Pandemic ‘Green’ Recovery strategies adopted by many of the Eastern European governments shall also make this transition towards sustainable development more difficult and challenging given the large dependency of all these economies upon traditional carbon fuels.