Broadwick: A framework for computational epidemiology

BMC Bioinformatics

Volumn 17, Issue 1, 2016, Pages

  O'Hare, Anthony ^a,b   Lycett, Samantha J ^a,c   Doherty, Thomas ^a   Salvador, Liliana C M ^a   Kao, Rowland R ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b UNIVERSITY OF STIRLING   (United Kingdom)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Epidemiology; Framework; Modelling; Modularity

Indexed keywords

BAYESIAN NETWORKS; COMPUTATION THEORY; COMPUTATIONAL METHODS; EPIDEMIOLOGY; MARKOV PROCESSES; MODELS; MONTE CARLO METHODS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

APPROXIMATE BAYESIAN; COMPUTATIONAL EPIDEMIOLOGIES; EPIDEMIOLOGICAL MODELLING; EPIDEMIOLOGICAL MODELS; FRAMEWORK; MARKOV CHAIN MONTE CARLO METHOD; MODULARITY; STOCHASTIC SIMULATIONS;

COMPLEX NETWORKS;

ALGORITHM; BAYES THEOREM; COMPUTER SIMULATION; EPIDEMIOLOGY; HUMAN; MARKOV CHAIN; MONTE CARLO METHOD; POPULATION GENETICS; THEORETICAL MODEL;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; EPIDEMIOLOGIC STUDIES; GENETICS, POPULATION; HUMANS; MARKOV CHAINS; MODELS, THEORETICAL; MONTE CARLO METHOD;

EID: 84956855271     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-016-0903-2     Document Type: Article

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