Population health is complex and multileveled, encompassing dynamic
interactions between cells, societies, and everything in between.
Our typical approach to studying population health, however,
remains oriented around a reductionist approach to conceptualizing,
empirically analyzing, and intervening to improve population
health. The trouble is that interventions founded on simplifying a
complex world often do not work, sometimes yielding failure or,
even worse, harm. The difficult truth is that "silver bullet"
health science often fails, and understanding these failures can
help us improve our approach to health science, and, ultimately,
population health. SYSTEMS SCIENCE AND POPULATION HEALTH 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. This text offers
the first educational and practical guide to this forward-thinking
approach. Comprising 17 chapters from the vanguard of population
health, epidemiology, computer science, and medicine, this book
offers a three-part introduction to the subject: DT An intellectual
and conceptual history of systems science as it intersects with
population health DT Concise, introductory overviews of important
and emerging methodological tools in systems science, including
systems dynamics, agent-based modeling, microsimulation, social
network analysis, and machine-learning-all with relevant examples
drawn from population health literature DT An exploration of future
implications for systems science and its applications to our
understanding of population health issues For researchers,
students, and practitioners, SYSTEMS SCIENCE AND POPULATION HEALTH
redefines many of the foundational elements of how we understand
population health. It should not be missed.
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