03313cam a2200493 i 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.0m     o  d        cr cnu|||unuuu240805s2025    flu    gob    001 0 eng d  aOCoLC-PbengerdaepncOCoLC-P  a9781003435082q(electronic bk.)  a1003435084q(electronic bk.)  z9781032563572  a9781040044391q(electronic bk. : PDF)  a1040044395q(electronic bk. : PDF)  a9781040044414q(electronic bk. : EPUB)  a1040044417q(electronic bk. : EPUB)  z97810325635657 a10.1201/97810034350822doi  a(OCoLC)1450930019  a(OCoLC-P)1450930019 4aRA792 7aMATx0290002bisacsh 7aPBT2bicssc1 aBlanford, Justine,eauthor.99628110aGeographic information, geospatial technologies and spatial data science for health /cJustine Blanford.  aFirst edition. 1aBoca Raton, FL :bCRC Press,c2025.  a1 online resource (xiv, 376 pages).  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  a"Geographic information and geospatial technologies play an important role in understanding changes in planetary health and the defining the drivers contributing to different health outcomes both locally and globally. Patterns influencing health outcomes and disease in the environment are complex and require an understanding of the ecology of the disease and how these interact in space and time. Knowing where and when diseases are prevalent, who is affected and what may be driving these outcomes are important for determining how to respond. In reality, we all would like to be healthy and live in healthy places. In this book, epidemiology and public health are integrated with spatial data science to examine health issues in dynamically changing environments. This is too broad a field to be completely covered in one book and so it has been necessary to be selective with the topics, methods and examples used to avoid overwhelming introductory readers, while at the same time providing sufficient depth for geospatial experts interested in health, and for health professionals interested in integrating geospatial elements for health analysis. A variety of geographic information (some novel, some volunteered, some authoritative, some big and messy) are used with a mix of methods consisting of spatial analysis, data science, machine learning and spatial statistics to better understand health risks and disease outcomes"--cProvided by publisher.  aOCLC-licensed vendor bibliographic record. 0aMedical geographyxData processing.996282 0aMedical informaticsxGeographic information systems.996283 0aGeospatial dataxHealth aspects.996284 7aMATHEMATICS / Probability & Statistics / General2bisacsh963965403Taylor & Francisuhttps://www.taylorfrancis.com/books/9781003435082423OCLC metadata license agreementuhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf  cE-Books  c68322d68322