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001 BRILL9789004517295
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006 m d
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008 220630t20222023ne sb 001 0 eng d
020 _a9789004517295
_q(electronic book)
020 _a9789004512122
_q(print)
024 7 _a10.1163/9789004517295
_2DOI
035 _z(OCoLC)1330688770
040 _aNL-LeKB
_cNL-LeKB
_erda
050 4 _aH41
072 7 _aJHB
_2bicssc
072 7 _aSOC
_x026000
_2bisacsh
082 0 4 _a300.3
_223
245 0 0 _aEconomics and Mathematical Modeling in Health-Related Research /
_cedited by Marzenna Anna Weresa, Christina Ciecierski, and Lidia Filus.
264 1 _aLeiden ;
_aBoston :
_bBrill,
_c[2022]
264 4 _c©2023
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_2rdacarrier
504 _aIncludes bibliographical references and index.
520 3 _aThis book offers an interdisciplinary approach to studying health-related issues by combining efforts of researchers from mathematics, medicine and economics.
520 _aThe definition of a healthcare system evolves continuously, becoming broader and more complex with each rendering. Healthcare systems can consist of many different elements, including but not limited to: access to comprehensive medical care, health promotion, disease prevention, institutional framework, financing schemes, government responsibility over health, etc. In light of its broad classification of healthcare, this book focuses on a wide spectrum of health-related issues ranging from risk factors for disease to medical treatment and possible frameworks for healthcare systems. Aging populations, increasing costs of healthcare, advancing technology, and challenges created by the COVID-19 pandemic require an innovative conceptual and methodological framework. By combining the experience and effort of researchers from a variety of fields including mathematics, medicine and economics, this book offers an interdisciplinary approach to studying health-related issues. It contributes to the existing literature by integrating the perspective of treatment with the economic determinants of health care outcomes, such as population density, access to financial resources and institutional frameworks. It also provides new evidence regarding the pharmaceutical industry including innovation, international trade and company performance. Contributors are : Sayansk Da Silva, Joe Feinglass, Scott W. Hegerty, Joseph E. Hibdon, Jr, Arkadiusz Michał Kowalski, Małgorzata Stefania Lewandowska, Dawid Majcherek, Ewelina Nojszewska, Izabela Pruchnicka-Grabias, Agata Sielska and Julian Smółka.
588 _aDescription based on print version record.
650 0 _aApplied Social Sciences.
650 0 _aBiology.
650 0 _aComparative Social Sciences.
650 0 _aEconomics & Political Science.
650 0 _aMathematics & Computer Sciences.
650 0 _aMedical Sciences.
650 0 _aSocial Sciences.
700 1 _aFilus, Lidia,
_eeditor.
700 1 _aWeresa, Marzenna Anna,
_eeditor.
700 1 _aCiecierski, Christina,
_eeditor.
776 0 8 _iPrint version:
_tEconomics and Mathematical Modeling in Health-Related Research.
_dLeiden ; Boston : Brill, 2022.
_z9789004512122
856 4 _zDOI:
_uhttp://dx.doi.org/10.1163/9789004517295
999 _c38104
_d38104