Modeling and prediction of oyster norovirus outbreaks along Gulf of Mexico Coast

Environmental Health Perspectives

Volumn 124, Issue 5, 2016, Pages 627-633

  Wang, Jiao ^a   Deng, Zhiqiang ^a  

^a Louisiana State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; ENVIRONMENTAL CHANGE; FREQUENCY; GULF OF MEXICO; HUMAN; NONHUMAN; NOROVIRUS; PRIORITY JOURNAL; PUBLIC HEALTH; SALINITY; SENSITIVITY ANALYSIS; TEMPERATURE; TRAINING; VIRUS TRANSMISSION; ANIMAL; CALICIVIRIDAE INFECTIONS; ENVIRONMENTAL EXPOSURE; EPIDEMIC; FOOD CONTAMINATION; GASTROENTERITIS; LOUISIANA; OYSTER; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; VIROLOGY;

ANIMALS; CALICIVIRIDAE INFECTIONS; DISEASE OUTBREAKS; ENVIRONMENTAL EXPOSURE; FOOD CONTAMINATION; GASTROENTERITIS; GULF OF MEXICO; HUMANS; LOUISIANA; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); NOROVIRUS; OSTREIDAE;

EID: 84964897974     PISSN: 00916765     EISSN: 15529924     Source Type: Journal    
DOI: 10.1289/ehp.1509764     Document Type: Article

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