Computing marginal expectations for large compartmentalized models with application to AIDS evolution in a prison system

IMA Journal of Mathemathics Applied in Medicine and Biology

Volumn 13, Issue 4, 1996, Pages 223-244

  Yakowitz, S ^a   Blount, M ^a   Gani, J ^b  

^a University of Arizona   (United States)

^b AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

Author keywords

Deterministic and stochastic epidemic; HIV infection; Models; Numerical methods for Markov chains; Prisons

Indexed keywords

ACQUIRED IMMUNE DEFICIENCY SYNDROME; ARTICLE; BIOLOGICAL MODEL; DISEASE TRANSMISSION; EPIDEMIC; HIGH RISK BEHAVIOR; HOMOSEXUALITY; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MALE; PRISON; PROBABILITY; STATISTICAL MODEL; STATISTICS;

ACQUIRED IMMUNODEFICIENCY SYNDROME; DISEASE OUTBREAKS; HIV INFECTIONS; HOMOSEXUALITY, MALE; HUMANS; MALE; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PRISONS; PROBABILITY; RISK-TAKING; STOCHASTIC PROCESSES;

EPIDEMIOLOGY; ERROR ANALYSIS; INTELLIGENT SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; POPULATION STATISTICS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

ANALYTIC METHOD; COMPUTATIONAL INVESTIGATION; DETERMINISTIC AND STOCHASTIC EPIDEMIC; DETERMINISTIC APPROXIMATION; DETERMINISTICS; HIV INFECTION; NUMERICAL METHOD FOR MARKOV CHAIN; POPULATION PROCESS; RISK FACTORS; STOCHASTIC EPIDEMICS;

NUMERICAL METHODS;

EID: 0030331765     PISSN: 02650746     EISSN: None     Source Type: Journal    
DOI: 10.1093/imammb/13.4.223     Document Type: Article

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