Titlebook: Computational Epidemiology; From Disease Transmi Jiming Liu,Shang Xia Book 2020 Springer Nature Switzerland AG 2020 Computational epidemiol

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Computational Modeling in a Nutshell,on dynamics with respect to a heterogeneous host population. Specifically, it introduces the concepts of compartmental modeling for describing disease transmission in an age-structured host population, and the methods for inferring the cross-age contact patterns of a host population, which are demon

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Strategizing Vaccine Allocation,ine allocation. It develops a prioritization method for identifying target subpopulations for the intervention that can most effectively reduce disease transmission. The chapter walks through a series of simulation-based experiments that evaluate the performance of such a prioritization method.

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Understanding the Effect of Social Media,dia, where news concerning disease severity and vaccine safety are widely distributed. It introduces a belief-based decision model that allows for computationally characterizing individuals’ subjective-perception-driven vaccination decisions. The model extends the Dempster-Shafer Theory (DST) to for

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Book 2020ent of the field while emphasizing the needs for a new paradigm shift in order to most effectively address the increasingly complex real-world challenges in disease control and prevention. .Specifically, the book presents the basic concepts, related computational models, and tools that are useful fo

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Wahlen in westlichen Demokratien,accination, and (2) the social influences. It involves a game-theoretic analysis of the costs and benefits of vaccination with respect to individuals’ social relationships. The chapter evaluates the level of vaccination coverage, based on the game-theoretic analysis, in a series of simulations on voluntary vaccination.