Understanding the complexity of health

William B. Rouse

Systems Research and Behavioral Science, 2021, vol. 38, issue 2, 197-203

Abstract: The 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.

Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1002/sres.2723

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:srbeha:v:38:y:2021:i:2:p:197-203

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1092-7026

Access Statistics for this article

More articles in Systems Research and Behavioral Science from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().