A logistic regression of risk factors for disease occurrence on Asian shrimp farms*

Diseases of Aquatic Organisms

Arlo W. Fast¹  , Liem T. Tran¹  PingSun Leung¹ 

关键词: Shrimp disease;    Logistic regression;   

DOI  :  10.3354/dao041065

学科分类：生物科学（综合）

来源: Inter-Research

【 摘 要 】

ABSTRACT: Serious shrimp-disease outbreaks have reduced shrimp production and slowed industry growth since 1991. This paper tests factors such as farm siting and design, and farm-management practices for relationships with disease occurrence. Logisticregression is used to analyze farm-level data from 3951 shrimp farms in 13 Asian countries. Disease occurrence is modeled as a 0-1 variable where 1 = disease loss of ≥20% to any 1 crop, and 0 = losses of <20%. Logistic regression is performed for eaof 3 levels of shrimp culture intensity, i.e. extensive, semi-intensive, and intensive. Attempts to apply logistic regression models to each country were not successful due to insufficient data for most countries. Factors affecting disease occurrenceswere quite different for different farming intensities. Farms that had larger pond production areas, with larger number of farms discharging effluent into their water supply canals, and removed silt had greater disease occurrence. On the other hand, farmsthat practiced polyculture and took water from the sea through a canal had lower disease occurrence.

【 授权许可】

Unknown