logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Epidemic Analytics For Decision Supports In Covid19 Crisis Joao Alexandre Lobo Marques

  • SKU: BELL-48752590
Epidemic Analytics For Decision Supports In Covid19 Crisis Joao Alexandre Lobo Marques
$ 31.00 $ 45.00 (-31%)

4.4

102 reviews

Epidemic Analytics For Decision Supports In Covid19 Crisis Joao Alexandre Lobo Marques instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 7.2 MB
Pages: 158
Author: Joao Alexandre Lobo Marques, Simon James Fong
ISBN: 9783030952808, 3030952800
Language: English
Year: 2022

Product desciption

Epidemic Analytics For Decision Supports In Covid19 Crisis Joao Alexandre Lobo Marques by Joao Alexandre Lobo Marques, Simon James Fong 9783030952808, 3030952800 instant download after payment.

Covid-19 has hit the world unprepared, as the deadliest pandemic of the century. Governments and authorities, as leaders and decision makers fighting against the virus, enormously tap on the power of AI and its data analytics models for urgent decision supports at the greatest efforts, ever seen from human history. This book showcases a collection of important data analytics models that were used during the epidemic, and discusses and compares their efficacy and limitations. Readers who from both healthcare industries and academia can gain unique insights on how data analytics models were designed and applied on epidemic data. Taking Covid-19 as a case study, readers especially those who are working in similar fields, would be better prepared in case a new wave of virus epidemic may arise again in the near future.

Related Products