
Pandemic Dynamics is a data-driven guide to understanding epidemics, tracing COVID-19 from Brazil’s earliest weeks (Feb–Mar 2020) to a global view. Built on ordinary differential equations and the Kermack–McKendrick SIR framework, it shows how models reveal transmission, severity, policy impacts, and the unequal burdens in a highly connected world. Using official Brazilian (including Pernambuco) and international statistics, the book moves from fundamentals to applied insights across epidemiology, decision theory, information systems, and evolutionary biology. Inside you’ll find: A clear build-up of population-growth and epidemic models centered on SIR. Scenario analyses (e.g., lockdown effectiveness; roles of social isolation, contagion, recovery). A probabilistic reduction of SIR to a single equation and a “Topdown” SIR with strong empirical fit, plus a parameter-free approximate solution. Linear dynamical models and a “Global Village” view, with case studies across countries and within Brazil. For researchers, students, health professionals, and policy makers seeking rigorous tools—and a coherent narrative—to act before the next pandemic.
Number of pages | 498 |
Edition | 1 (2025) |
Format | 16x23 (160x230) |
Binding | Paperback w/ flaps |
Colour | Colour |
Paper type | Coated Silk 90g |
Language | English |
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