Temporal-Transition & differential computing for health-related phenomena in transmitted diseases and health situation-change mapped onto 5D world map system

Abstract

It is significant to detect, estimate and predict 'Human-health situations' and 'a spread of transmitted disease' with past and current information of health-related phenomena. Temporal-Transition and differential computing realizes semantic interpretations for situation changes in two phenomena with 'temporal-length' in 'specific situation'. The 'temporal-length' in 'specific situation' is used to compare two phenomena in multiple contexts in semantics. We present a new Temporal-Transition Differential Computing Model for detecting, estimating and predicting 'Human-health situations' and 'a spread of transmitted disease.' This model defines 'temporal-Transition data structure' for expressing past and current information of health-related phenomena with temporal-Axis, and two processes for Human-Health Semantic Space Creation and Semantic Computing with dimensional control mechanism.