Previous edition: 2002.

Includes bibliographical references (pages 253-257) and index.

1. Crabs and criminals -- 2. It isn't fair -- 3. While the city burns -- 4. Clean streets -- 5. A. Bayesian take on colorectal screening, baseball, fund managers, and a murder -- 6. What are the odds of that? -- 7. It's normal not to be normal -- 8. Boom and bust -- 9. Viral outbreaks and blood clots -- 10. Red tides and whatever happened to the red squirrel? -- 11. Spatial patterns: the cat's tail and spreading slime -- 12. The coil of life -- Appendices.

Mathematical Modeling for Society and Biology second edition draws on current issues to engagingly relate how to use mathematics to gain insight into problems in biology and contemporary society. For the new edition, the author uses mathematical models tat are simple, transparent, and verifiable. Also new to the book is an introduction to mathematical concepts that every quantitative scientist in the biological and social sciences should be familiar with, such as Bayesian inference and differential equations. Additionally, each chapter now includes a detailed discussion on how to formulate a reasonable model to gain insight into the specific question that has been introduced -- P. 4 of cover.

B-39359/EDIMEH/23/08/19