In the Garden of Branching Processes

The current paper surveys and develops numerical methods for Markovian multitype branching processes in continuous time. Particular attention is paid to the calculation of means, variances, extinction probabilities, and marginal distributions in the presence of a Poisson stream of immigrant particles. The Poisson process assumption allows for temporally complex patterns of immigration and facilitates application of marked Poisson processes and Campbell's formulas. The methods and formulas derived are applied to four models: two population genetics models, a model for vaccination against an infectious disease in a community of households, and a model for the growth of resistant HIV virus in patients undergoing drug therapy.

[1]  K. Lange,et al.  Moment computations for subcritical branching processes , 1981, Journal of Applied Probability.

[2]  William H. Press,et al.  Numerical recipes in C. The art of scientific computing , 1987 .

[3]  P. Holgate,et al.  Branching Processes with Biological Applications , 1977 .

[4]  A N Phillips,et al.  Use of a stochastic model to develop understanding of the impact of different patterns of antiretroviral drug use on resistance development , 2001, AIDS.

[5]  J. Kingman A FIRST COURSE IN STOCHASTIC PROCESSES , 1967 .

[6]  D. Ho,et al.  Ordered accumulation of mutations in HIV protease confers resistance to ritonavir , 1996, Nature Medicine.

[7]  V. Trouplin,et al.  Retracing the Evolutionary Pathways of Human Immunodeficiency Virus Type 1 Resistance to Protease Inhibitors: Virus Fitness in the Absence and in the Presence of Drug , 2000, Journal of Virology.

[8]  Alan S. Perelson,et al.  Decay characteristics of HIV-1-infected compartments during combination therapy , 1997, Nature.

[9]  K Lange,et al.  Calculation of the equilibrium distribution for a deleterious gene by the finite Fourier transform. , 1982, Biometrics.

[10]  E. Seneta Non-negative matrices;: An introduction to theory and applications , 1973 .

[11]  Samuel Karlin,et al.  A First Course on Stochastic Processes , 1968 .

[12]  P. A. P. Moran,et al.  An introduction to probability theory , 1968 .

[13]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[14]  M. Hirsch,et al.  Differential Equations, Dynamical Systems, and Linear Algebra , 1974 .

[15]  Denis Mollison,et al.  The Analysis of Infectious Disease Data. , 1989 .

[16]  J L Hopper,et al.  Assessing the heterogeneity of disease spread through a community. , 1983, American journal of epidemiology.

[17]  K. Lange,et al.  Branching process models for mutant genes in nonstationary populations. , 1997, Theoretical population biology.

[18]  Klaus Dietz,et al.  Reproduction Numbers and Critical Immunity Levels for Epidemics in a Community of Households , 1996 .

[19]  R. Siliciano,et al.  Quantification of latent tissue reservoirs and total body viral load in HIV-1 infection , 1997, Nature.

[20]  K. Lange,et al.  Further characterization of the long-run population distribution of a deleterious gene. , 1980, Theoretical population biology.

[21]  L. M. Mansky,et al.  Forward mutation rate of human immunodeficiency virus type 1 in a T lymphoid cell line. , 1996, AIDS research and human retroviruses.

[22]  Isma'il ibn Ali al-Sadiq AIDS , 1986, The Lancet.

[23]  S Bonhoeffer,et al.  Production of resistant HIV mutants during antiretroviral therapy. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[24]  Eric Lander,et al.  Linkage disequilibrium mapping in isolated founder populations: diastrophic dysplasia in Finland , 1992, Nature Genetics.

[25]  Alan S. Perelson,et al.  Mathematical Analysis of HIV-1 Dynamics in Vivo , 1999, SIAM Rev..

[26]  R. Bartoszynski On a certain model of an epidemic , 1972 .

[27]  William H. Press,et al.  Book-Review - Numerical Recipes in Pascal - the Art of Scientific Computing , 1989 .

[28]  Martin A. Nowak,et al.  The frequency of resistant mutant virus before antiviral therapy , 1998, AIDS.

[29]  Marek Kimmel,et al.  Branching processes in biology , 2002 .

[30]  Charles J. Mode,et al.  Multitype branching processes;: Theory and applications , 1971 .

[31]  K. Lange,et al.  Models for haplotype evolution in a nonstationary population. , 1998, Theoretical Population Biology.

[32]  Alan S. Perelson,et al.  Branching Processes Applied to Cell Surface Aggregation Phenomena , 1985 .

[33]  Charles J. Mode,et al.  A general age-dependent branching process. II , 1968 .

[34]  T. E. Harris,et al.  The Theory of Branching Processes. , 1963 .

[35]  P. Henrici Fast Fourier Methods in Computational Complex Analysis , 1979 .

[36]  Feller William,et al.  An Introduction To Probability Theory And Its Applications , 1950 .

[37]  K. Lange,et al.  Equilibrium distributions for deleterious genes in large stationary populations. , 1978, Theoretical population biology.

[38]  I. Rahimov Random Sums and Branching Stochastic Processes , 1995 .

[39]  K. Lange,et al.  Number of people and number of generations affected by a single deleterious mutation. , 1978, Theoretical population biology.

[40]  William H. Press,et al.  Numerical Recipes in FORTRAN - The Art of Scientific Computing, 2nd Edition , 1987 .

[41]  J. Magnus,et al.  Matrix Differential Calculus with Applications in Statistics and Econometrics , 1991 .