Predictive Models for Decision Support in the COVID-19 Crisis

Discover the essential insights in "Predictive Models for Decision Support in the COVID-19 Crisis" by Joao Alexandre Lobo Marques, published by Springer Nature Switzerland AG in 2020. This enlightening 98-page book presents a comprehensive collection of significant predictive models utilized during the pandemic. It delves into their efficacy and limitations, offering a critical analysis that is invaluable for both healthcare professionals and academics. Readers will gain a deeper understanding of how these models were meticulously designed and effectively applied to epidemic data. Whether you are seeking to enhance your knowledge in predictive analytics or looking for practical applications in crisis management, this book serves as a vital resource. Don't miss the opportunity to explore the intersection of data science and public health during one of the most challenging times in modern history.