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© 2019

Causation in Population Health Informatics and Data Science

Benefits

  • Reviews intersections between epidemiology, public health, computation, informatics, and science philosophy

  • Suggests a new theory for the integration of epidemiology, public health, computation, informatics, and science philosophy to improve public health research

  • Evaluates how informatics and computational approaches can aid the identification of causal associations in the health sciences

Book

Table of contents

  1. Front Matter
    Pages i-ix
  2. Olaf Dammann, Benjamin Smart
    Pages 1-14
  3. Olaf Dammann, Benjamin Smart
    Pages 15-26
  4. Olaf Dammann, Benjamin Smart
    Pages 27-41
  5. Olaf Dammann, Benjamin Smart
    Pages 43-61
  6. Olaf Dammann, Benjamin Smart
    Pages 63-77
  7. Olaf Dammann, Benjamin Smart
    Pages 79-98
  8. Olaf Dammann, Benjamin Smart
    Pages 99-115
  9. Olaf Dammann, Benjamin Smart
    Pages 117-118
  10. Back Matter
    Pages 119-134

About this book

Introduction

Marketing text: This book covers the overlap between informatics, computer science, philosophy of causation, and causal inference in epidemiology and population health research. Key concepts covered include how data are generated and interpreted, and how and why concepts in health informatics and the philosophy of science should be integrated in a systems-thinking approach. Furthermore, a formal epistemology for the health sciences and public health is suggested.

Causation in Population Health Informatics and Data Science provides a detailed guide of the latest thinking on causal inference in population health informatics. It is therefore a critical resource for all informaticians and epidemiologists interested in the potential benefits of utilising a systems-based approach to causal inference in health informatics.


Keywords

Causation Epidemiology Informatics Illness Philosophy causal inference

Authors and affiliations

  1. 1.Department of Public Health and Community MedicineTufts University School of MedicineBostonUSA
  2. 2.The African Centre for Epistemology and Philosophy of ScienceUniversity of JohannesburgJohannesburgSouth Africa

About the authors

Olaf Dammann, M.D. (U Hamburg, ’90), S.M. Epidemiology (Harvard, ’97) is Professor of Public Health and Community Medicine, Pediatrics, and Ophthalmology at Tufts University School of Medicine in Boston, USA. He is also Editor-in-Chief Emeritus of PEDIATRIC RESEARCH, the publication of the International Pediatric Research Foundation. His research interests include the elucidation of risk factors for brain damage and retinopathy in preterm newborns, the theory of risk and causation in biomedical and population health research, and the development of computational chronic disease models. He has received grant support from the National Institutes of Health and the European Union. His bibliography lists more than 200 publications.

Dr Benjamin Smart is senior lecturer at The University of Johannesburg, and a founder member of The African Centre for Epistemology and Philosophy of Science. He was awarded a PhD in metaphysics by The University of Nottingham in 2012, before lecturing philosophy at The University of Birmingham (2012-2015). Smart has published widely on causation, laws of nature, and on the philosophy of health and disease.

Bibliographic information

  • Book Title Causation in Population Health Informatics and Data Science
  • Authors Olaf Dammann
    Benjamin Smart
  • DOI https://doi.org/10.1007/978-3-319-96307-5
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Medicine Medicine (R0)
  • Hardcover ISBN 978-3-319-96306-8
  • Softcover ISBN 978-3-030-07174-5
  • eBook ISBN 978-3-319-96307-5
  • Edition Number 1
  • Number of Pages IX, 134
  • Number of Illustrations 14 b/w illustrations, 1 illustrations in colour
  • Topics Health Informatics
    Health Informatics
    Logic
    Epidemiology
  • Buy this book on publisher's site
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