Modelling the initial phase of an epidemic using incidence and infection network data: 2009 H1N1 pandemic in Israel as a case study

Journal of the Royal Society Interface

Volumn 8, Issue 59, 2011, Pages 856-867

  Katriel, G ^a   Yaari, R ^a   Huppert, A ^b   Roll, U ^a   Stone, L ^a  

^a TEL AVIV UNIVERSITY   (Israel)

^b GERTNER INSTITUTE FOR EPIDEMIOLOGY AND HEALTH POLICY RESEARCH   (Israel)

Author keywords

Epidemic modelling; H1N1 influenza; Maximum likelihood; Model fitting; Next generation matrix

Indexed keywords

BAYESIAN NETWORKS; COMPUTER SIMULATION; EPIDEMIOLOGY; ESTIMATION; MAXIMUM LIKELIHOOD ESTIMATION; POPULATION STATISTICS; PROBABILITY; STOCHASTIC MODELS; TIME SERIES;

AGE GROUPS; AMOUNT OF INFORMATION; BASIC MODELS; BAYESIAN METHODS; CLASS STRUCTURES; CREDIBLE INTERVAL; DEMOGRAPHIC STOCHASTICITY; DISCRETE-TIME; EPIDEMIC MODELLING; EPIDEMIC PROCESS; H1N1 INFLUENZA; INFECTION PROCESS; INITIAL STAGES; MATRIX; MODEL FITTING; MODELLING TOOLS; NETWORK DATA; NETWORK STRUCTURES; NEXT-GENERATION MATRIX; PARTIAL INFORMATION; PRACTICAL IMPORTANCE; RANDOM SAMPLE; REPRODUCTIVE NUMBER; SIMULATION STUDIES; STOCHASTIC EPIDEMICS; TIME DISTRIBUTION;

MATRIX ALGEBRA;

2009 H1N1 INFLUENZA; ARTICLE; DEMOGRAPHY; DYNAMICS; EPIDEMIC; INCIDENCE; ISRAEL; MODEL; TIME SERIES ANALYSIS;

EID: 79955727533     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2010.0515     Document Type: Article

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