Building a Platform for Data-Driven Pandemic Prediction; From Data Modelling to Visualization - The CovidLP Project
Dani Gamerman & Marcos O. Prates & Thaís Paiva and Vinícius D. Mayrink
This book is about building platforms for pandemic prediction. It provides an overview of probabilistic prediction for pandemic modelling based on a data-driven approach. It also provides guidance on building platforms with currently available technology using tools such as R, Shiny, and interactive plotting programs.
The book focuses on the integration of statistics and computing tools rather than an in-depth analysis of all possibilities on each side. Readers can follow different reading paths through the book, depending on their needs. The book is meant as a basis for further investigation of statistical modelling, implementation tools, monitoring aspects, and software functionalities.
The book focuses on the integration of statistics and computing tools rather than an in-depth analysis of all possibilities on each side. Readers can follow different reading paths through the book, depending on their needs. The book is meant as a basis for further investigation of statistical modelling, implementation tools, monitoring aspects, and software functionalities.
Tahun:
2022
Penerbit:
Routledge
Bahasa:
english
Halaman:
383
ISBN 10:
0367709996
ISBN 13:
9780367709990
Fail:
PDF, 7.22 MB
IPFS:
,
english, 2022
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