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- W2758242012 abstract "Abstract Behavioral and social sciences are increasingly being recognized as important components of public health epidemiology. Communicable and noncommmunicable diseases spread through human populations in complicated ways. Individuals’ changing behaviors in response to public policies and their evolving perception of how an infectious disease outbreak is unfolding can dramatically alter normal social interactions. Effective planning and response strategies must take these complicated interactions into account. The chapter describes the state of the art in the role of individual and collective behavior in public health epidemiology. We will focus on an algorithmic treatment of the problem wherein individual and collective behaviors are seen through the lens of an algorithmist—we therefore focus on computational representations and discuss issues related to expressiveness, efficiency, and composability as they pertain to modeling behaviors in public health epidemiology. We will briefly describe new opportunities arising in inferring, modeling, and modifying behaviors due to the proliferation of the Internet, social media, and pervasive computing." @default.
- W2758242012 created "2017-10-06" @default.
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- W2758242012 date "2017-01-01" @default.
- W2758242012 modified "2023-10-16" @default.
- W2758242012 title "Individual and Collective Behavior in Public Health Epidemiology" @default.
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- W2758242012 doi "https://doi.org/10.1016/bs.host.2017.08.011" @default.
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