Muutke küpsiste eelistusi

Mathematical Methods for Analysis of a Complex Disease [Pehme köide]

  • Formaat: Paperback / softback, 149 pages, kaal: 315 g
  • Sari: Courant Lecture Notes
  • Ilmumisaeg: 17-Nov-2011
  • Kirjastus: American Mathematical Society
  • ISBN-10: 0821872869
  • ISBN-13: 9780821872864
Teised raamatud teemal:
  • Formaat: Paperback / softback, 149 pages, kaal: 315 g
  • Sari: Courant Lecture Notes
  • Ilmumisaeg: 17-Nov-2011
  • Kirjastus: American Mathematical Society
  • ISBN-10: 0821872869
  • ISBN-13: 9780821872864
Teised raamatud teemal:
Complex diseases involve most aspects of population biology, including genetics, demographics, epidemiology, and ecology. Mathematical methods, including differential, difference, and integral equations, numerical analysis, and random processes, have been used effectively in all of these areas. The aim of this book is to provide sufficient background in such mathematical and computational methods to enable the reader to better understand complex systems in biology, medicine, and the life sciences. It introduces concepts in mathematics to study population phenomena with the goal of describing complicated aspects of a disease, such as malaria, involving several species. The book is based on a graduate course in computational biology and applied mathematics taught at the Courant Institute of Mathematical Sciences in fall 2010. The mathematical level is kept to essentially advanced undergraduate mathematics, and the results in the book are intended to provide readers with tools for performing more in-depth analysis of population phenomena.
Introduction vii
Chapter 1 Population Dynamics
1(28)
1.1 Population Renewal
4(7)
1.2 Population Wave Equation
11(8)
1.3 Discrete-Event Models
19(10)
Chapter 2 Random Processes
29(22)
2.1 Markov Chains
30(4)
2.2 Branching Processes
34(6)
2.3 Random Walks
40(11)
Chapter 3 Microbial Ecology
51(22)
3.1 Modeling Nutrient Uptake
51(4)
3.2 Food and Growth: The Chemostat
55(2)
3.3 Food Chains
57(4)
3.4 Bacterial Growth on a Petri Dish
61(4)
3.5 Chemotaxis
65(5)
3.6 Mosquitoes near a Malarial Swamp
70(3)
Chapter 4 Propagation of Epidemic Diseases
73(22)
4.1 Spread of Disease in a Small Group
74(2)
4.2 Threshold of an Epidemic
76(7)
4.3 Stratification by Chronological Age and by Class Age
83(2)
4.4 Influence of Environmental Fluctuations
85(4)
4.5 The Ross-Macdonald Model of Malaria
89(6)
Chapter 5 Population Genetics
95(18)
5.1 Darwinian Evolution
96(8)
5.2 Epigenetic Landscape
104(3)
5.3 Malaria and Sickle Cell Genetics
107(6)
Chapter 6 Stratifications of Disease Systems
113(20)
6.1 Temporal Stratifications: Surviving the Dry Season
117(1)
6.2 Parasites within Humans: The Erythrocytic Cycle and Gametocyte Production
117(4)
6.3 Stratification by Infection Age
121(2)
6.4 Stratification by Age and Geography
123(7)
6.5 Controlling Malaria
130(3)
Chapter 7 MATLAB® Programs
133(10)
7.1 Demographic Simulations
133(1)
7.2 Random Simulations
134(2)
7.3 Microbial Ecology Simulations
136(1)
7.4 Epidemic Simulations
137(1)
7.5 Genetics Simulations
138(1)
7.6 Malaria Simulations
139(4)
Bibliography 143(4)
Index 147