Relations between deterministic and stochastic thresholds for disease extinction in continuous- and discrete-time infectious disease models

Mathematical Biosciences

Volumn 243, Issue 1, 2013, Pages 99-108

  Allen, L J S ^a   van den Driessche, P ^b  

^a TEXAS TECH UNIVERSITY   (United States)

^b UNIVERSITY OF VICTORIA   (Canada)

Author keywords

Branching process; Difference equation; Differential equation; Infectious diseases; Markov chain

Indexed keywords

BRANCHING PROCESS; CONTINUOUS-TIME; DETERMINISTIC MODELS; INFECTIOUS DISEASE; INFECTIOUS DISEASE MODELS; WEST NILE VIRUS;

DIFFERENCE EQUATIONS; DIFFERENTIAL EQUATIONS; DISEASE CONTROL; GROUP THEORY; MARKOV PROCESSES; PROBABILITY DISTRIBUTIONS; STOCHASTIC SYSTEMS;

STOCHASTIC MODELS;

DISEASE CONTROL; EQUATION; INFECTIOUS DISEASE; MARKOV CHAIN; NUMERICAL MODEL; STOCHASTICITY;

ARTICLE; BIRD; DISEASE EXTINCTION; EPIDEMIC; GENERAL ASPECTS OF DISEASE; INFECTION; MATHEMATICAL ANALYSIS; MOSQUITO; NONHUMAN; POPULATION SIZE; PROBABILITY; STATISTICAL MODEL; STATISTICS; SURVIVAL; WEST NILE FLAVIVIRUS;

ANIMALS; BASIC REPRODUCTION NUMBER; BIRDS; COMMUNICABLE DISEASES; CULICIDAE; HUMANS; MODELS, IMMUNOLOGICAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; STOCHASTIC PROCESSES; WEST NILE FEVER; WEST NILE VIRUS;

AVES; WEST NILE VIRUS;

EID: 84875803481     PISSN: 00255564     EISSN: 18793134     Source Type: Journal    
DOI: 10.1016/j.mbs.2013.02.006     Document Type: Article

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