Modeling habitat suitability for occurrence of highly pathogenic avian influenza virus H5N1 in domestic poultry in Asia: a spatial multicriteria decision analysis approach.
Spat Spatiotemporal Epidemiol
; 4: 1-14, 2013 Mar.
Article
in En
| MEDLINE
| ID: mdl-23481249
ABSTRACT
Risk maps are one of several sources used to inform risk-based disease surveillance and control systems, but their production can be hampered by lack of access to suitable disease data. In such situations, knowledge-driven spatial modeling methods are an alternative to data-driven approaches. This study used multicriteria decision analysis (MCDA) to identify areas in Asia suitable for the occurrence of highly pathogenic avian influenza virus (HPAIV) H5N1 in domestic poultry. Areas most suitable for H5N1 occurrence included Bangladesh, the southern tip and eastern coast of Vietnam, parts of north-central Thailand and large parts of eastern China. The predictive accuracy of the final model, as determined by the area under the receiver operating characteristic curve (ROC AUC), was 0.670 (95% CI 0.667-0.673) suggesting that, in data-scarce environments, MCDA provides a reasonable alternative to the data-driven approaches usually used to inform risk-based disease surveillance and control strategies.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Models, Statistical
/
Influenza A Virus, H5N1 Subtype
/
Influenza in Birds
Type of study:
Health_economic_evaluation
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Animals
Country/Region as subject:
Asia
Language:
En
Journal:
Spat Spatiotemporal Epidemiol
Year:
2013
Document type:
Article
Affiliation country:
United kingdom