Four key challenges in infectious disease modelling using data from multiple sources

Epidemics

Volumn 10, Issue , 2015, Pages 83-87

  De Angelis, Daniela ^a,b   Presanis, Anne M ^a   Birrell, Paul J ^a   Tomba, Gianpaolo Scalia ^c   House, Thomas ^d  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b PUBLIC HEALTH ENGLAND   (United Kingdom)

^c UNIVERSITY OF ROME TOR VERGATA   (Italy)

^d UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Bayesian; Complex models; Epidemics; Evidence synthesis; Multiple sources; Statistical inference

Indexed keywords

COMMUNICABLE DISEASES; EPIDEMIC; HUMAN; INFORMATION PROCESSING; STATISTICAL MODEL; STATISTICS; STATISTICS AND NUMERICAL DATA;

COMMUNICABLE DISEASES; DATA COLLECTION; EPIDEMICS; HUMANS; MODELS, STATISTICAL; STATISTICS AS TOPIC;

EID: 84939970704     PISSN: 17554365     EISSN: 18780067     Source Type: Journal    
DOI: 10.1016/j.epidem.2014.09.004     Document Type: Article

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