Understanding the complexity of health
In: Systems research and behavioral science: the official journal of the International Federation for Systems Research, Band 38, Heft 2, S. 197-203
Abstract
AbstractThe complexity of health cannot be adequately explained with a representation that only captures one level of abstraction of the ecosystem. Multiple levels of abstraction are needed to comprehend the full range of forces that affect the health of a population. These levels are outlined and run the gamut from cells to society, ranging from aberrations of immune system signalling to society's values and norms. Computational modelling of this multilevel system can enable both understanding and managing the complexity of health. This is illustrated in contexts that include Washington, DC, and New York City.
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