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001 978-3-030-52109-7
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005 20240423125316.0
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008 200918s2020 sz | s |||| 0|eng d
020 _a9783030521097
_9978-3-030-52109-7
024 7 _a10.1007/978-3-030-52109-7
_2doi
050 4 _aR858-859.7
072 7 _aMBG
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aMED117000
_2bisacsh
072 7 _aUXT
_2thema
082 0 4 _a610.285
_223
100 1 _aLiu, Jiming.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aComputational Epidemiology
_h[electronic resource] :
_bFrom Disease Transmission Modeling to Vaccination Decision Making /
_cby Jiming Liu, Shang Xia.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXVIII, 113 p. 50 illus., 20 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aHealth Information Science,
_x2366-0996
505 0 _aParadigms in Epidemiology -- Computational Modeling in a Nutshell -- Developing Strategies for Vaccine Allocation -- Explaining Individuals’ Vaccination Decisions -- Characterizing Socially-Influenced Vaccination Decisions -- Understanding the Impact of Social Media -- Welcome to the Era of Systems Epidemiology.
520 _aThis book provides a comprehensive introduction to computational epidemiology, highlighting its major methodological paradigms throughout the development 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 for characterizing disease transmission dynamics with respect to a heterogeneous host population. In addition, it shows how to develop and apply computational methods to tackle the challenges involved in population-level intervention, such as prioritized vaccine allocation. A unique feature of this book is that its examination on the issues of vaccination decision-making is not confined only to the question of how to develop strategic policies on prioritized interventions, as it further approaches the issues from the perspective ofindividuals, offering a well integrated cost-benefit and social-influence account for voluntary vaccination decisions. One of the most important contributions of this book lies in it offers a blueprint on a novel methodological paradigm in epidemiology, namely, systems epidemiology, with detailed systems modeling principles, as well as practical steps and real-world examples, which can readily be applied in addressing future systems epidemiological challenges. The book is intended to serve as a reference book for researchers and practitioners in the fields of computer science and epidemiology. Together with the provided references on the key concepts, methods, and examples being introduced, the book can also readily be adopted as an introductory text for undergraduate and graduate courses in computational epidemiology as well as systems epidemiology, and as training materials for practitioners and field workers.
650 0 _aMedical informatics.
650 0 _aMedicine, Preventive.
650 0 _aHealth promotion.
650 0 _aEpidemiology.
650 0 _aBioinformatics.
650 1 4 _aHealth Informatics.
650 2 4 _aHealth Promotion and Disease Prevention.
650 2 4 _aEpidemiology.
650 2 4 _aComputational and Systems Biology.
700 1 _aXia, Shang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030521073
776 0 8 _iPrinted edition:
_z9783030521080
830 0 _aHealth Information Science,
_x2366-0996
856 4 0 _uhttps://doi.org/10.1007/978-3-030-52109-7
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c176532
_d176532