Computational modeling of infectious disease with applications in Python / Chris von Csefalvay.
| Author/creator | Csefalvay, Chris von, 1986- |
| Format | Electronic |
| Publication Info | London ; San Diego, CA : Academic Press, an imprint of Elsevier, [2023] |
| Description | xxiv, 451 pages : color illustrations, color maps ; 23 cm |
| Supplemental Content | Full text available from Elsevier ScienceDirect eBook - Immunology and Microbiology 2023 |
| Subjects |
| Abstract | 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.-- Source other than the Library of Congress. |
| Bibliography note | Includes bibliographical references (pages [413]-438) and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Issued in other form | ebook version : 9780323958370 |
| Genre/form | Electronic books. |
| LCCN | 2023278783 |
| ISBN | 9780323953894 paperback |
| ISBN | 0323953891 paperback |
| ISBN | electronic book |
| ISBN | electronic book |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |