TY  - GEN
N2  - This work employs principles from across a range of sciences to refine the way we understand population health. By augmenting traditional analytic approaches with new tools like machine learning, microsimulation, and social network analysis, population health can be studied as a dynamic and complex system. This allows us to understand population health as a complex whole, offering new insights and perspectives that stand to improve the health of the public. The text offers the first educational and practical guide to this forward-thinking approach.
AB  - This work employs principles from across a range of sciences to refine the way we understand population health. By augmenting traditional analytic approaches with new tools like machine learning, microsimulation, and social network analysis, population health can be studied as a dynamic and complex system. This allows us to understand population health as a complex whole, offering new insights and perspectives that stand to improve the health of the public. The text offers the first educational and practical guide to this forward-thinking approach.
T1  - Systems science and population health /
AU  - El-Sayed, Abdulrahman M.,
AU  - Galea, Sandro,
CN  - Oxford Scholarship Online
CN  - RA418
ID  - 858958
KW  - Public health.
KW  - Public health
KW  - System theory.
SN  - 9780190492427 
TI  - Systems science and population health /
LK  - https://univsouthin.idm.oclc.org/login?url=https://dx.doi.org/10.1093/acprof:oso/9780190492397.001.0001
UR  - https://univsouthin.idm.oclc.org/login?url=https://dx.doi.org/10.1093/acprof:oso/9780190492397.001.0001
ER  -