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Jayasinghe International Journal for Equity in Health (2015) 14:71 DOI ten.1186/s12939-015-0205-COMMENTARYOpen AccessSocial determinants of overall health inequalities: towards a theoretical point of view applying systems scienceSaroj JayasingheAbstractA systems strategy delivers a novel conceptualization to natural and social systems. In recent years, this has led to perceiving population well being outcomes as an emergent property of a dynamic and open, complex adaptive technique. The existing paper explores these themes further and applies the principles of systems method and complexity science (i.e. systems science) to conceptualize social determinants of wellness inequalities. The conceptualization is often done in two measures: viewing wellness inequalities from a systems approach and extending it to include complexity science.IFN-gamma Protein Storage & Stability Systems method views health inequalities as patterns within the larger rubric of other facets of your human condition, including educational outcomes and economic improvement. This anlysis calls for additional sophisticated models such as systems dynamic models. An extension with the strategy will be to view systems as complex adaptive systems, i.e. systems which can be ‘open’ and adapt to the environment. They consist of dynamic adapting subsystems that exhibit non-linear interactions, although being ‘open’ to a similarly dynamic atmosphere of interconnected systems. They exhibit emergent properties that can’t be estimated with precision by utilizing the identified interactions among its elements (including economic development, political freedom, well being method, culture and so forth.). Various combinations with the identical bundle of aspects or determinants give rise to equivalent patterns or outcomes (i.e. home of convergence), and minor variations in the initial situation could give rise to broadly divergent outcomes. Novel approaches employing laptop simulation models (e.g. agent-based models) would shed light on attainable mechanisms as to how components or determinants interact and cause emergent patterns of health inequalities of populations.GSK-3 beta, Human (sf9, His) Introduction Well being outcomes are increasingly perceived from a systems method which is more holistic and non-reductionist [1].PMID:24025603 The author within a current paper extended the systems approach to incorporate principles of complexity science and to conceptualize population overall health outcomes as an emergent house of a dynamic and open, complex adaptive method [2]. The present paper explores these themes further and applies the principles of systems approach and complexity science (i.e. systems science) to conceptualize social determinants of wellness inequalities (SDHI). The paper starts using a short overview of the current models of SDHI, after which proposes a two step strategy to remodel our perspectives and outlines feasible implications.Correspondence: [email protected] Division of Clinical Medicine, Faculty of Medicine, University of Colombo, Kynsey Road, Colombo 8, Sri LankaCurrent conceptualization of SDHIInterest.