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Zero-inflated models for identifying disease risk factors when case detection is imperfect: Application to highly pathogenic avian influenza H5N1 in Thailand

par Vergne, Timothée;Paul, Mathilde Cécile;Roger, Francois;Grosbois, Vladimir;Durand, Benoit;Chaengprachak, Wanida;Gilbert, Marius ;Dufour, Barbara;Kasemsuwan, Suwicha
Référence Preventive veterinary medicine, 114, 1, page (28-36)
Publication Publié, 2014-04

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Titre:	Zero-inflated models for identifying disease risk factors when case detection is imperfect: Application to highly pathogenic avian influenza H5N1 in Thailand
Auteur:	Vergne, Timothée; Paul, Mathilde Cécile; Roger, Francois; Grosbois, Vladimir; Durand, Benoit; Chaengprachak, Wanida; Gilbert, Marius; Dufour, Barbara; Kasemsuwan, Suwicha
Informations sur la publication:	Preventive veterinary medicine, 114, 1, page (28-36)
Statut de publication:	Publié, 2014-04
Sujet CREF:	Sciences bio-médicales et agricoles
Mots-clés:	Avian influenza H5N1
	Bias
	Capture-recapture
	Conditional autoregressive model
	Count
	Evaluation
	Risk factors
	Spatial
	Surveillance
	Under-detection
	Zero-inflation
Note générale:	SCOPUS: ar.j
Langue:	Anglais
Identificateurs:	urn:issn:0167-5877
	info:doi/10.1016/j.prevetmed.2014.01.011
	info:pii/S0167587714000129
	info:scp/84894663739
	info:pmid/24472215