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Predictive Models for Decision Support in the COVID-19 Crisis

Overview of attention for book
Attention for Chapter 6: Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil
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Citations

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8 Mendeley
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Chapter title
Predicting the Geographic Spread of the COVID-19 Pandemic: A Case Study from Brazil
Chapter number 6
Book title
Predictive Models for Decision Support in the COVID-19 Crisis
Published by
Springer, Cham, December 2020
DOI 10.1007/978-3-030-61913-8_6
Book ISBNs
978-3-03-061912-1, 978-3-03-061913-8
Authors

Joao Alexandre Lobo Marques, Francisco Nauber Bernardo Gois, José Xavier-Neto, Simon James Fong, Marques, Joao Alexandre Lobo, Gois, Francisco Nauber Bernardo, Xavier-Neto, José, Fong, Simon James

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 38%
Student > Ph. D. Student 2 25%
Professor > Associate Professor 2 25%
Professor 1 13%
Readers by discipline Count As %
Computer Science 3 38%
Business, Management and Accounting 2 25%
Mathematics 1 13%
Engineering 1 13%
Unknown 1 13%