About: Risk analysis for the highly pathogenic avian influenza in Mainland China using meta-modeling

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Risk analysis for the highly pathogenic avian influenza in Mainland China using meta-modeling
Creator	Xu, Min Li, & Jian, Zhao Wuchun, Cao Chaoyi, Chang Chunxiang, Cao Hao, Zhang Mengxu, Gao Zhong, Shaobo Fang Liqun, Qisheng, H Sheng, Zheng Wei, Chen Yong, Xue
source	PMC
abstract	A logistic model was employed to correlate the outbreak of highly pathogenic avian influenza (HPAI) with related environmental factors and the migration of birds. Based on MODIS data of the normalized difference vegetation index, environmental factors were considered in generating a probability map with the aid of logistic regression. A Bayesian maximum entropy model was employed to explore the spatial and temporal correlations of HPAI incidence. The results show that proximity to water bodies and national highways was statistically relevant to the occurrence of HPAI. Migratory birds, mainly waterfowl, were important infection sources in HPAI transmission. In addition, the HPAI outbreaks had high spatiotemporal autocorrelation. This epidemic spatial range fluctuated 45 km owing to different distribution patterns of cities and water bodies. Furthermore, two outbreaks were likely to occur with a period of 22 d. The potential risk of occurrence of HPAI in Mainland China for the period from January 23 to February 17, 2004 was simulated based on these findings, providing a useful meta-model framework for the application of environmental factors in the prediction of HPAI risk.
has issue date	2010-12-09(xsd:dateTime)
bibo:doi	10.1007/s11434-010-4225-x
bibo:pmid	32214736
has license	no-cc
sha1sum (hex)	344868d285fc1031b2ad08f4521a176348d43ac0
schema:url	https://doi.org/10.1007/s11434-010-4225-x
resource representing a document's title	Risk analysis for the highly pathogenic avian influenza in Mainland China using meta-modeling
has PubMed Central identifier	PMC7088651
has PubMed identifier	32214736
schema:publication	Chin Sci Bull
resource representing a document's body	covid:344868d285fc1031b2ad08f4521a176348d43ac0#body_text
is schema:about of	named entity 'environmental factors' named entity 'simulated' named entity 'correlations' named entity 'Mainland China' named entity 'avian influenza' named entity 'WATER' named entity 'EPIDEMIC' named entity 'JANUARY' named entity 'PERIOD' named entity 'IMPORTANT' named entity 'AID' covid:arg/344868d285fc1031b2ad08f4521a176348d43ac0 named entity 'January 23' named entity 'prediction' named entity 'February 17' named entity 'proximity' named entity 'temporal' named entity 'highly' named entity 'incidence' named entity 'water bodies' named entity 'probability' named entity 'environmental factors' named entity 'Migratory birds' named entity 'distribution patterns' named entity 'HPAI' named entity 'environmental factors' named entity 'meta-modeling' named entity 'range' named entity 'NDVI' named entity 'environmental factors' named entity 'PDF' named entity 'migration routes' named entity 'HPAI' named entity 'case-control' named entity 'BME' named entity 'binary variable' named entity 'logistic regression' named entity 'HPAI' named entity 'HPAI' named entity 'HPAI' named entity 'avian influenza' named entity 'environmental factors' named entity 'normalized difference vegetation index' named entity 'HPAI' named entity 'Mainland China' named entity 'autocorrelation' named entity 'spatial analysis' named entity 'BME' named entity 'pathogenicity' named entity 'influenza viruses' named entity 'HPAI' named entity 'China' named entity 'infectious diseases' named entity 'HPAI' named entity 'logistic model' named entity 'India' named entity 'stochastic' named entity 'migratory birds' named entity 'bird migration' named entity 'Japan' named entity 'entropy' named entity 'logistic regression' named entity 'time interval' named entity 'HPAI' named entity 'Mainland China' named entity 'BME' named entity 'landform' named entity 'fowl'

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