Public health system sustainability assessment by Gaidai hypersurface approach

Background: to determine extreme cardiovascular and cancer diseases deathrate risks at any time in any region of interest. Design: Apply modern novel statistical methods to raw clinical surveillance data. Methods: multi-centre, population-based, medical survey data-based bio statistical approach. For this study, cardiovascular and cancer diseases annual recorded deaths numbers in all 195 world countries have been selected, constituting 390D (390-dimensional) biosystem. It is challenging to model such phenomena. Results: this paper describes a novel bio-system reliability approach, particularly suitable for multi-regional environmental and health systems, observed over a sufficient timelapse. Traditional statistical methods dealing with temporal observations of multi-regional processes do not have the advantage of dealing efficiently with extensive regional dimensionality. The suggested methodology coped with this challenge well. Conclusions: the suggested methodology may be used in various public health applications, based on raw clinical survey data.