A general approach for population games with application to vaccination

Mathematical Biosciences

Volumn 230, Issue 2, 2011, Pages 67-78

  Reluga, Timothy C ^a   Galvani, Alison P ^b  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Epidemiology; Infectious diseases; Markov decision processes; Population games; Vaccination

Indexed keywords

DECISION PROBLEMS; DYNAMIC FEEDBACK; GENERAL APPROACH; HEALTH POLICY; INFECTIOUS DISEASE; MARKOV DECISION PROCESSES; PATH-INTEGRAL; POPULATION GAMES; SCALE MODELS; VACCINATION; WAITING TIME;

DECISION THEORY; GAME THEORY; LEARNING ALGORITHMS; MARKOV PROCESSES; RANDOM VARIABLES;

DISEASES;

EPIDEMIOLOGY; GAME THEORY; INFECTIOUS DISEASE; MARKOV CHAIN; NUMERICAL MODEL; VACCINATION;

ARTICLE; FEEDBACK SYSTEM; GAME; HIDDEN MARKOV MODEL; MATHEMATICAL ANALYSIS; POPULATION DYNAMICS; POPULATION MODEL; PREDICTION; PROBABILITY; VACCINATION;

ALGORITHMS; BASIC REPRODUCTION NUMBER; COMMUNICABLE DISEASES; DECISION SUPPORT TECHNIQUES; EPIDEMIOLOGIC METHODS; GAME THEORY; HEALTH POLICY; HUMANS; MARKOV CHAINS; MODELS, BIOLOGICAL; POPULATION DYNAMICS; PUBLIC HEALTH; VACCINATION; VACCINES;

EID: 79952694088     PISSN: 00255564     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mbs.2011.01.003     Document Type: Article

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