A Bayesian MCMC approach to study transmission of influenza: Application to household longitudinal data

Statistics in Medicine

Volumn 23, Issue 22, 2004, Pages 3469-3487

  Cauchemez, Simon ^a,b   Carrat, F ^a,b,c   Viboud, C ^a,d   Valleron, A J ^a,b,c   Boelle P Y ^a,b,c  

^a INSERM   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c ASSISTANCE PUBLIQUE HÔPITAUX DE PARIS   (France)

^d NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Bayesian inference; Household transmission; Infectious diseases; Influenza; Markov chain Monte Carlo methods

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; BAYES THEOREM; CHILD; CLINICAL OBSERVATION; COMMUNITY; CONFIDENCE INTERVAL; CONTROLLED STUDY; DATA ANALYSIS; DISEASE DURATION; DISEASE TRANSMISSION; FOLLOW UP; GENERAL PRACTITIONER; HOUSEHOLD; HUMAN; INFECTION RISK; INFECTION SENSITIVITY; INFLUENZA; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MONTE CARLO METHOD; PROBABILITY; RISK ASSESSMENT; STANDARD; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STATISTICAL PARAMETERS; SYMPTOMATOLOGY; VIROLOGY;

ADOLESCENT; ADULT; BAYES THEOREM; CHILD; CHILD, PRESCHOOL; DISEASE TRANSMISSION, HORIZONTAL; FAMILY CHARACTERISTICS; FEMALE; FRANCE; HUMANS; INFLUENZA A VIRUS; INFLUENZA, HUMAN; LONGITUDINAL STUDIES; MALE; MARKOV CHAINS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD;

EID: 7944235308     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.1912     Document Type: Article

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