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Geospatial Health Data

Modeling and Visualization with R-INLA and Shiny

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This book shows how to model disease risk and quantify risk factors using areal and geostatistical data. It also shows how to create interactive maps of disease risk and risk factors, and describes how to build interactive dashboards and Shiny web applications that facilitate the communication of insights to collaborators and policy makers.

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Produktdetails

Erscheinungsdatum

21. November 2019

Sprache

englisch

Seitenanzahl

294

Reihe

Chapman & Hall/CRC Biostatistics Series

Autor/Autorin

Paula Moraga

Verlag/Hersteller

Taylor & Francis eBooks

Kopierschutz

mit Adobe-DRM-Kopierschutz

Produktart

EBOOK

Dateiformat

EPUB

ISBN

9781000732153

Entdecken Sie mehr

Epidemiologie und medizinische Statistik

Wahrscheinlichkeitsrechnung und Statistik

Medizinische Untersuchung, Reihenuntersuchung

Biologie, Biowissenschaften

Epidemiologie und medizinische Statistik

Wahrscheinlichkeitsrechnung und Statistik

Medizinische Untersuchung, Reihenuntersuchung

Biologie, Biowissenschaften

Portrait

Paula Moraga

Paula Moraga is a Lecturer in the Department of Mathematical Sciences at the University of Bath. She received her Master's in Biostatistics from Harvard University and her Ph. D. in Statistics from the University of Valencia. Dr. Moraga develops innovative statistical methods and open-source software for disease surveillance including R packages for spatio-temporal modeling, detection of clusters, and travel-related spread of disease. Her work has directly informed strategic policy in reducing the burden of diseases such as malaria and cancer in several countries.

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