https://www.selleckchem.com/products/Gefitinib.html Current urban, health and social challenges demand new multidisciplinary assessment systems for decision-making in the built environment from the perspective of the elderly, as an even more vulnerable population. This research contributes with a Multidimensional Assessment System of the Built Environment (MASBE) that provides an integral diagnosis on the perceived suitability of urban and housing environments for an ageing population, whose novel approach is structured and weighted through 35 multidisciplinary variables that are organised in seven dimensions design, accessibility, comfort, maintenance, security and health, use and control, and stimulus. The system is applied and tested in reference case studies from Spain and Mexico, in order to demonstrate its operation and replicability. The weighted and displayed results help to identify the weaknesses and strengths of each application scale, obtaining average values far from 7.50, as the ideal value for ageing in place, and certain dimensions below 5.00, discussing through a sensitivity analysis the main influencing factors, health risks and major demands of elderly residents before deciding action strategies. The key outcomes incorporate useful implications for policy-makers, promoters and construction firms by enabling assessment procedures to adapt urban and housing spaces for the elderly, thereby ensuring satisfactory proposals in the built environment.The socio-demographic factors have a substantial impact on the overall casualties caused by the Coronavirus (COVID-19). In this study, the global and local spatial association between the key socio-demographic variables and COVID-19 cases and deaths in the European regions were analyzed using the spatial regression models. A total of 31 European countries were selected for modelling and subsequent analysis. From the initial 28 socio-demographic variables, a total of 2 (for COVID-19 cases) and 3 (for COVID-19