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Covid-19 Mads Bahrami
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Covid-19
Mads Bahrami
This STEM Volume gathers a selection of research papers on COVID-19 using a complex systems approach. Methods include agent-based models, cellular automata, networks, population dynamics, spatial-temporal patterns, risk management, analysis of fat-tails, data analysis and visualization. A few examples are: (i) Discussions about policies and strategies against outbreaks in the context of uncertainty and incomplete information. (ii) Analysis and proper understanding of probability and its role in decision-making against contagion outbreaks. (iii) Different approaches to model the spread of a virus in a population using simulations. (iv) Applications with observational data to include natural patterns of human behavior into modeling and decision-making frameworks.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2021年5月5日 |
| ISBN13 | 9780578912004 |
| 出版社 | STEM Academic Press |
| ページ数 | 272 |
| 寸法 | 152 × 229 × 14 mm · 367 g |
| 言語 | 英語 |