Computational Modeling of Infectious Disease

This book PDF is perfect for those who love Computers genre, written by Chris von Csefalvay and published by Elsevier which was released on 14 February 2023 with total hardcover pages 478. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Computational Modeling of Infectious Disease books below.

Computational Modeling of Infectious Disease
Author : Chris von Csefalvay
File Size : 40,9 Mb
Publisher : Elsevier
Language : English
Release Date : 14 February 2023
ISBN : 9780323958370
Pages : 478 pages
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Computational Modeling of Infectious Disease by Chris von Csefalvay Book PDF Summary

Computational Modeling of Infectious Disease: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models, and through time series analysis and geospatial models, this book is both a guided tour through the computational analysis of infectious diseases and a quick-reference manual. Chapters are accompanied by extensive practical examples in Python, illustrating applications from start to finish. This book is designed for researchers and practicing infectious disease forecasters, modelers, data scientists, and those who wish to learn more about analysis of infectious disease processes in the real world. Connects computational infectious disease analysis to state-of-the-art data science Conveys ideas on epidemiology and infectious disease modeling in a clear, accessible way Provides code examples to elucidate best practices

Computational Modeling of Infectious Disease

Computational Modeling of Infectious Disease: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models, and through time series analysis and geospatial models, this book is both a guided tour through the computational analysis

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The 1918-19 influenza epidemic killed more than fifty million people worldwide. The SARS epidemic of 2002-3, by comparison, killed fewer than a thousand. The success in containing the spread of SARS was due largely to the rapid global response of public health authorities, which was aided by insights resulting from

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