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Computational modeling of infectious diseases : with applications in Python /
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 i...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London ; San Diego, CA :
Academic Press, an imprint of Elsevier,
[2023]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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|---|---|---|---|
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| 003 | OCoLC | ||
| 005 | 20231120010727.0 | ||
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| 008 | 230227s2023 enk o 000 0 eng d | ||
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| 020 | |a 9780323958370 |q electronic book | ||
| 020 | |a 0323958370 |q electronic book | ||
| 020 | |z 9780323953894 |q paperback | ||
| 020 | |z 0323953891 |q paperback | ||
| 035 | |a (OCoLC)1370392585 |z (OCoLC)1398128331 | ||
| 050 | 4 | |a RA643 |b .C74 2023 | |
| 050 | 4 | |a RC111 | |
| 082 | 0 | 4 | |a 616.90285 |2 23/eng/20230313 |
| 100 | 1 | |a Csefalvay, Chris von. | |
| 245 | 1 | 0 | |a Computational modeling of infectious diseases : |b with applications in Python / |c Chris von Csefalvay. |
| 264 | 1 | |a London ; |a San Diego, CA : |b Academic Press, an imprint of Elsevier, |c [2023] | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a 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. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on April 03, 2023). | ||
| 504 | |a Includes bibliographical references and index. | ||
| 650 | 0 | |a Communicable diseases |x Data processing. | |
| 650 | 0 | |a Communicable diseases |x Mathematical models. | |
| 650 | 0 | |a Medical informatics. | |
| 650 | 6 | |a Maladies infectieuses |0 (CaQQLa)201-0001354 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 6 | |a Maladies infectieuses |0 (CaQQLa)201-0001354 |x Mod�eles math�ematiques. |0 (CaQQLa)201-0379082 | |
| 650 | 6 | |a M�edecine |x Informatique. |0 (CaQQLa)201-0103112 | |
| 650 | 7 | |a Communicable diseases |x Mathematical models |2 fast |0 (OCoLC)fst00869903 | |
| 650 | 7 | |a Medical informatics |2 fast |0 (OCoLC)fst01014175 | |
| 776 | 0 | 8 | |i Print version: |z 0323953891 |z 9780323953894 |w (OCoLC)1346215448 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780323953894 |z Texto completo |